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Chobani Information Technology is seeking a Warehouse Management System (WMS) Functional Lead. The Warehouse Management System (WMS) Functional Lead is a key member of Chobani's Enterprise Applications organization and is responsible for the functional ownership, roadmap, and delivery of SAP Extended Warehouse Management (EWM) capabilities across Chobani manufacturing plants and warehouse facilities. This role serves as the primary product owner for SAP WM, partnering closely with warehouse operations, manufacturing, supply chain, quality, and logistics teams to understand business needs, pain points, and future capabilities. The WMS Product Manager translates those needs into a clear product roadmap, functional designs, and delivered solutions that improve operational efficiency, inventory accuracy, compliance, and cost effectiveness. Additionally, This role serves as the primary product owner for SAP WM and its integration with warehouse execution and automation technologies, including Warehouse Control Systems (WCS), Automated Storage and Retrieval Systems (AS/RS), and Laser Guided / Automated Guided Vehicles (LGV/AGV). The role partners closely with warehouse operations, manufacturing, supply chain, quality, engineering, automation vendors, and systems integrators to deliver reliable, scalable, and highly automated warehouse solutions. The role is primarily afunctional leadposition with hands-on system responsibilities and is expected to prototype solutions in non-production environments, demonstrate functionality to business users, support production operations, and manage the promotion of approved solutions into production in partnership with SAP technical teams. Product Ownership & Roadmap • Own theSAP WM product roadmap, aligning warehouse and manufacturing capabilities with Chobani's broader SAP S/4HANA and Supply Chain strategy., • Partner with warehouse, manufacturing, and supply chain stakeholders to understand operational needs, pain points, and future-state requirements., • Translate business needs into prioritized backlog items, clearly articulating business value, dependencies, and outcomes., • Act as thefunctional lead for SAP WM, providing deep expertise in inbound, outbound, inventory management, material movements, and warehouse execution processes., • Design, configure, and prototype SAP WM solutions in non-production environments to validate requirements and demonstrate capabilities to end users., • Lead functional solutioning across WM process areas, including integration with MM, PP, QM, SD, and Finance., • Partner with SAP Functional Analysts, Developers, Basis, and Integration teams to ensure solutions are scalable, supportable, and aligned with enterprise standards., • Lead functional design for SAP WM integration with Warehouse Control Systems (WCS), AS/RS, conveyors, sortation systems, and LGV/AGV solutions., • Partner with internal engineering teams and external automation vendors to define interface requirements, message flows, error handling, and operational monitoring models., • Design, configure, and prototype SAP WM solutions in non-production environments, including automation-integrated scenarios, to validate requirements and demonstrate functionality to end users and operations leadership., • Develop business cases, ROI analysis, and value realization models for WM initiatives., • Scope work efforts, including t-shirt sizing, time-to-deliver estimates, resource requirements, and dependency identification., • Support initiative execution across the full delivery lifecycle: requirements, design, build, testing, cutover, and hypercare., • Provide functional production support for SAP WM, including issue triage, root cause analysis, and resolution., • Partner with support teams to ensure system stability, performance, and data integrity across warehouse operations., • Identify continuous improvement opportunities through analysis of operational metrics, user feedback, and system performance., • Serve as a trusted partner to warehouse and manufacturing leadership, communicating roadmap status, delivery progress, and system impacts., • Support organizational change management by preparing users for new or enhanced WM capabilities through demos, training, and documentation., • Bachelor's degree in Information Technology, Supply Chain, Industrial Engineering, Manufacturing Management, Business, or a related field, or equivalent experience., • 8+ years of experience supporting warehouse management, manufacturing, or supply chain processes in an IT or ERP functional role., • Hands-on experience withSAP Warehouse Management (WM), including configuration, testing, and production support., • Design and configure interfaces for RF/mobile and automated systems, including but not limited to Material Flow Systems (MFS) and robotics., • Demonstrated experience working directly with business users to elicit requirements and deliver functional solutions., • Experience developing business cases, ROI models, and delivery estimates for IT initiatives., • Strong understanding of WM integration with MM, PP, QM, SD, and Finance., • Excellent communication, facilitation, and presentation skills. Preferred Qualifications • Experience supporting SAP WM in manufacturing and plant-adjacent warehouse environments., • Experience working in food & beverage, dairy, CPG, or regulated manufacturing industries., • Familiarity with SAP S/4HANA environments and SAP release management practices., • Experience with warehouse automation, RF devices, labeling, and material handling processes., • Prior experience in a Product Manager, Product Owner, or Business Process Integration role., • Familiarity with AI-assisted warehouse operations and integrating different types of robot fleets through SAP Warehouse Robotics Travel Chobani uses food as a force for good in the world - putting humanity first in everything it does. The company's philanthropic efforts prioritize giving back to its communities and beyond. Chobani manufactures its products inNew York,Idaho,MichiganandAustralia, and its products are available throughoutNorth Americaand distributed inAustraliaand other select markets. For more information, please visit___ or follow us on Facebook, Twitter, Instagram and LinkedIn. Chobani is an equal opportunity employer. Chobani will not discriminate against any applicant for employment on any basis including, but not limited to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, military and/or veteran status, marital status, predisposing genetic characteristics and genetic information, or any other classification protected by federal, state, and local laws. The salary range for this full-time position is $130,500.00 - $187,000.00, + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Chobani provides a comprehensive benefits package, including medical, dental, vision coverage, disability insurance, health savings account, flexible spending accounts, and tuition reimbursement. To help save for the future, all employees are eligible for a 401k match of 100% on up to 5% of eligible pay. To support growing families, we provide fertility and childcare assistance, and 12 weeks of parental leave at full pay after six months of continuous employment. In addition, we provide wellness resources which include an employee assistance program, fitness discounts, a wellness reimbursement, on-site gym access (certain locations) and a monthly wellness newsletter to connect you with resources and timely information. We offer various types of paid time of including: 120 hours of paid time off, 11 holidays, and paid volunteer time off.

As a Shift Leader at our Brooklyn store located at 32 5th Ave, Brooklyn NY 11217, you are the captain of our bakery day or night! You understand what it takes to "Own the Night" (and beyond), by predicting the flow of business during a successful shift. Your hands-on leadership style should not only include building orders, suggestive selling, baking, and interacting with customers - it will also mean taking pride in knowing that your prowess as a leading Insomniac attributes to a productive and fun night for your store! SOME OUR SWEET SHIFT LEADER PERKS:* Pay rate: $18.00/hr* Flexible part-time work schedules* Pay on Demand (why wait until the end of the week...get paid your earned wages at the end of the day!)* Paid vacation and sick time off* Interactive training & mentorship* Pet insurance for your furry loved ones* Job stability with a rapidly growing and reputable company* Achievable growth/promotion opportunities* You get to work in a fun, exciting team environment* Employee discount and FREE cookies with every shift! WHAT WILL I DO AS A SHIFT LEADER?* Provide incredible customer service and quality products to all of our guests throughout their experience within our bakeries* Support store leadership by maintaining operations during your shift, communicating pertinent information, monitoring production efficiency, holding the team accountable to company standards and procedures, and assisting in the training and coaching of team members* Prioritize and delegate tasks for baking, cashiering, packaging, and cleaning while leading the cookie crew team* Support and work alongside the Cookie Crew* Provide a safe, clean, working environment for our guests and staff and adhere to safe food handling practices* Manage cash handling and deposits- Other duties as assigned DESIRED SKILLS/EXPERIENCE:* At least 1 year of working experience in a customer service focused role* Point of Sales systems experience* Outstanding communication, time management, and people skills* Outgoing/friendly/patient* Detail focused and results-oriented* Ability to lead-by-example and motivate others* Ability to lift up to 40 lbs.* Legally eligible to work in the United States* Must be 18 years or older to be employed About us:Insomnia Cookies was founded in a college dorm room by then-student, Seth Berkowitz. Fast forward 20 years and so... many....cookies... later, our innovative bakery + delivery concept has become a cult brand known for its rabid following of cookie lovers who crave Insomnia's warm, delicious delivery all day and late into the night. With an expanding footprint of over 300 stores globally, an experiential, "sweet-easy" concept as the brand's flagship in Philadelphia, Pa. (where Insomnia Cookies is headquartered), and a rapidly-growing nationwide shipping and gifting portfolio... Insomnia Cookies is revolutionizing the cookie game by truly "Imagining What's Possible"!

Be part of an amazing story Macy's is more than just a store. We're a story. One that's captured the hearts and minds of America for more than 160 years. A story about innovations and traditions...about inspiring stores and irresistible products...about the excitement of the Macy's 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We've been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work. Job Overview The Senior Designer is a highly skilled designer and category expert who demonstrates strong leadership abilities. What You Will Do • Collaborate with the Director of Design to conduct trend and category research, including analysis of the retail market relevant to the area of responsibility., • Partner with the Director of Design to establish the brand's seasonal fashion direction, ensuring consistent aesthetic integrity., • Research and interpret seasonal trends, fashion direction, and cultural influences, sourcing inspiration from various outlets such as runways, museums, and tradeshows., • Develop and execute a strategic vision that prioritizes customer needs while meeting sales and profit objectives, leveraging technical expertise to identify opportunities and develop assortments., • Take ownership of product design from concept to production, leading the design team in the development and execution of product designs., • Collaborate with the Director/Senior Director on fabric and material selection, understanding the rationale behind decisions., • Interpret specific color palettes, patterns, and prints for the season, selecting and approving styles, materials, trims, and colors., • Ensure designs align with overall product strategy and adhere to SKU plans and assortment strategies set by merchants., • Partner closely with the Materials team to create seasonal palettes and support fabric optimization., • Work with the Product Development team to ensure designs meet cost guidelines and collaborate with Strategic Sourcing for vendor allocation., • Lead fit sessions with Tech Design and Product Development teams throughout the season, ensuring clear communication and alignment on fit standards., • Create cohesive product presentations, including boards, tear sheets, and samples, to effectively communicate design concepts to merchants., • React to current product selling performance based on customer feedback and sales results, incorporating learnings into future designs., • Adhere to seasonal timelines and action calendars for the area of responsibility, ensuring timely execution of design tasks., • Demonstrate comfort and effectiveness in leading through complexity, combining visionary thinking with a focus on speed., • Maintain an industry presence to foster connections, explore new business opportunities, and represent the Macy's brand., • Cultivate relationships with technical designers, merchants, and sourcing divisions to exchange ideas and streamline processes., • Serve as the primary contact with the Vendor Community (Overseas/Domestic) and communicate regularly with overseas offices to share line development direction., • Collaborate closely with Omni partners to gather input and align online development direction, influencing decision-making., • Anticipate potential obstacles and actively seek solutions while providing context and rationale for decision-making., • Practice open and clear communication, keeping stakeholders informed and making decisions confidently and succinctly., • Foster a collaborative environment, building trust and relationships across all levels of the organization to influence decision-making., • Develop engaged and high-performing teams, coaching and motivating design staff while identifying and nurturing talent., • Embrace risk-taking and encourage innovation, regardless of the outcome, while tracking and coaching team development and talent., • Proactively identify opportunities for process improvement and implement solutions, mentoring others outside direct reports to foster their growth., • Demonstrate resilience, tenacity, and high energy, bouncing back rapidly from adversity. Design Expertise: Possess advanced design skills and expertise within the designated category, demonstrating proficiency in conceptualizing and executing product designs. Leadership Abilities: Exhibit strong leadership skills, including the ability to collaborate effectively with the Director of Design, lead design teams, and influence decision-making processes. Develop and motivate design teams, fostering engagement, and high performance while identifying and nurturing talent for future growth. Trend Analysis: Ability to conduct thorough trend and category research, analyze retail market trends, and interpret seasonal fashion directions. Creative Vision: Demonstrate a creative vision that aligns with the brand's seasonal fashion direction, ensuring consistent aesthetic integrity. Strategic Thinking: Develop and execute strategic visions that prioritize customer needs while achieving sales and profit objectives, leveraging technical expertise to identify opportunities and develop assortments. Color and Print Sense: Possess a strong sense of color and print, with the ability to interpret specific color palettes, patterns, and prints for each season. Technical Skills: Proficiency in design software such as Illustrator, Photoshop, and PLM, as well as Microsoft Office and Excel for communication and organization. Communication Skills: Excellent written and verbal communication skills to effectively convey design concepts, collaborate with cross-functional teams, and maintain clear and open communication channels. Adaptability and Resilience: Demonstrate adaptability and resilience in navigating complexity, bouncing back rapidly from adversity, and proactively identifying opportunities for process improvement. Who You Are • Candidates with a bachelor's degree or equivalent work experience in a related field are encouraged to apply. 5-7 years of industry experience., • Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision. Join a team where work is as rewarding as it is fun! We offer a dynamic, inclusive environment with competitive pay and benefits. Enjoy comprehensive health and wellness coverage and a 401(k) match to invest in your future. Prioritize your well-being with paid time off and eight paid holidays. Grow your career with continuous learning and leadership development. Plus, build community by joining one of our Colleague Resource Groups and make a difference through our volunteer opportunities. Some additional benefits we offer include: • Merchandise discounts, • Performance-based incentives, • Annual merit review, • Employee Assistance Program with mental health counseling and legal/financial advice About Us This is a great time to join Macy's! Whether you're helping a customer find the perfect gift, streamlining operations in one of our distribution centers, enhancing our online shopping experience, buying in-style and on-trend merchandise to outfit our customers, or designing a balloon for the Thanksgiving Day Parade, we offer unique opportunities to be part of some of the most memorable moments in people's lives. Join us and help write the next chapter in our story - apply today! This job description is not all-inclusive. Macy's, Inc. reserves the right to amend this job description at any time. Macy's, Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment. MERCH00

Discover What's Possible at BetMGM Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We're a brand with technology at our hearts and the most driven and focused talent in the business. As a valued team member, we're committed to giving you the resources and support you need to thrive. Our benefits and perks include: * Medical, Dental, Vision, Life, and Disability Insurance * 401(k) with company match * Pre-tax spending accounts including health care FSA and commuter savings * Flexible paid time off * Professional development reimbursement and ongoing skills training opportunities * Employee resource groups * Swag, ticket giveaways, and more! At BetMGM, we recognize that every individual plays a meaningful role in our success. That's why we're committed to building a respectful, inclusive workplace. It's the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win. About the Role We are seeking a Senior Data Scientist to take a leading role in building and deploying machine learning solutions that power personalization and create measurable business impact. This is a highly visible, cross-functional position where you will work closely with product managers, ML engineers, and commercial stakeholders to transform raw data into actionable insights and scalable models. You'll leverage cutting-edge tools and techniques to segment users, predict behaviors, and optimize experiences across the customer journey. As a Senior Data Scientist, you will design and deliver advanced analytics projects from exploration and modeling through deployment and measurement of impact. You'll make technical decisions, lead collaborative problem-solving sessions, and mentor other data scientists as you raise the overall level of technical rigor within the team. This role is perfect for someone who thrives in a fast-moving environment, enjoys turning complexity into clarity, and is motivated by seeing their models drive real-world outcomes. Responsibilities * Develop and deploy machine learning models to drive personalized recommendations and user experiences across business units * Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions * Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer * Lead projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making * Oversee the integration and deployment of cross-functional and cross-organizational projects, developing process improvements and technical leadership * Stay up to date on the latest advancements in data science and leverage cutting edge technology * Mentor, brainstorm with, and enable others within the DS team and broader Data organization Qualifications Education and Experience: * Bachelor's degree needed in a highly numerate major (Computer Science, Economics, Mathematics, etc.) or a related field * 5+ years of experience in data science, creating and deploying models * Strong expertise in ML modeling, predictive analytics, segmentation, and recommender systems. * Hands on experience working in customer personalization and a strong understanding of the technical elements required in building and maintaining advanced models * Experience in experimentation to validate models' impact and ability to quantify that impact Technical Expertise: * Experience with Python, SQL, Spark, Snowflake, and ML infrastructure tools like MLflow and SageMaker. * Experience with statistical modeling, A/B testing, and customer segmentation techniques. * Experience implementing and overseeing ML platforms and building unified data products across multiple domains. * Familiarity with online gaming platforms, trading systems, and marketing technologies. * Can write production level code, understand principles of programming Leadership & Soft Skills: * Strategic thinker with a proven ability to balance short-term results with long-term goals. * Excellent communicator with the ability to translate complex technical concepts into clear, actionable strategies for stakeholders at all levels * Collaborative team player who excels in cross-functional environments. Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc. Gaming Compliance & Licensing Requirements As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification. In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives. About BetMGM BetMGM is revolutionizing sports betting and online gaming in the United States and Canada. We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Casino, BetMGM Sportsbook, Borgata Online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms. BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants. If you need assistance or accommodation with your application due to a disability, you may contact us at . This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time. #LI-HYBRID #LI-JLEE

Job Description Specific Responsibilities: • Analyze demand and supply at the item, customer, and master schedule levels, determine out of balance conditions, identify alternative and recommend actions for approval., • Collaborate with sales, marketing, and manufacturing to understand and reduce internal and customer lead-times., • Conduct rough-cut capacity planning prior to publishing master schedule to ensure alignment with SI&OP commitments., • Oversee S&OE commitments within the sites to ensure efficient detailed scheduling and utilization of capacity., • Identify, negotiate, and resolve conflicts with respect to material and capacity availability and order-promising integrity across the manufacturing network., • Create a master schedule that satisfies customer demand while leveling workload released to manufacturing, and optimization of inventory levels and resource utilization., • Maintain scheduling parameters, such as lead-times, lot sizes, and cycle times., • Monitor the implementation of schedules and evaluate their success as well as assess and mitigate risks that may impact the schedule, • Proactively identify potential scheduling conflicts or bottlenecks and work with relevant departments to resolve them., • Collaborate closely with Production, Purchasing, Engineering, Product Management, Quality and Sales teams to ensure that the schedule is realistic and aligns with overall business objectives., • Evaluate and adjust schedules to account for inventories and capacity constraints., • Communicates schedule changes to correspondent stake holders as changes occur., • Review upcoming projects for complexity, special build requirement, line and capacity requirements, manpower allocation, etc., • Identify areas for process improvement within the scheduling function and implement changes to meet stated lead times. Qualifications: Qualifications Qualifications/Experience: • BA/BS in Supply Chain Management, Business Management, or a related field is preferred., • 5+ Years in Supply Chain leadership experience in a manufacturing environment., • Proficient in ERP systems (SAP Preferred), advanced Excel skills, and experience with scheduling software (MRP etc) Additional Information Perks & Benefits • Perks & Benefits, • 401k with Generous Company Match, • Bonuses, • Medical, Dental, and Vision Benefits, • Paid Parental Leave, • Life Insurance, • Disability Insurance, • Paid time off, paid holidays, • Floating holidays + Paid Volunteer Time, • Wellness/Fitness Reimbursements, • Education Assistance, • Professional Development Opportunities, • Employee Referral Program & More! Sika fosters a culture of entrepreneurship, empowering each individual to make decisions, learn from experiences, and shape their own career path. The safety and well-being of employees are top priorities at Sika, with a strong commitment to open communication and maintaining a safe workplace. In addition, Sika actively contributes to the community and promotes sustainability by giving back, minimizing environmental impact, and embracing social responsibility. We offer competitive salaries, aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position, education and/or training. We are committed to fair and equitable pay practices in accordance with applicable laws and regulations. Sika Corporation is committed to a work environment that supports, inspires, and respects all individuals that apply. As an equal opportunity employer Sika will consider all qualified applicants without discrimination on the basis of race, color, religion, sex, pregnancy, sexual orientation, gender identity, age, disability, national or ethnic origin, or other protected characteristics. Sika Corporation is committed to a work environment that supports, inspires, and respects all individuals that apply. As an equal opportunity employer Sika will consider all qualified applicants without discrimination on the basis of race, color, religion, sex, pregnancy, sexual orientation, gender identity, age, disability, national or ethnic origin, or other protected characteristics. We offer competitive salaries, aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position, education and/or training. We are committed to fair and equitable pay practices in accordance with applicable laws and regulations.

Job DescriptionMerchant, Men's Apparel About rag & bone: From our origins in New York in 2002, rag & bone was founded on a belief of uncompromising ideals: a commitment to doing things the right way, not the easy way. To making things that are as original as they are timeless. To being true to ourselves, even when that truth sets us apart from the mainstream. We still believe in the same principles we started with: the easy elegance of classic British tailoring, the authenticity of American workwear, and the originality of our home city, New York. As New Yorkers, community and authenticity have become synonymous with our brand. An inclusive environment at rag & bone upholds our original values by encouraging employee connection and empowering each individual to have a voice on policy, process, and collaboration for a more equitable future. Rag & Bone is seeking a strategic, product-focused Merchant to help drive seasonal merchandise vision for our Men’s Apparel business, reporting to the Sr. Director of Merchandising. This role partners closely with Design, Product Development, Buying, Planning and Sales to build compelling collections that balance trend relevance, brand integrity and financial performance. The function of Global Merchandising is pivotal to the company and requires end-to-end responsibility; from product strategy and line-planning through execution of the go-to-market strategies. An ideal candidate for this role is focused on building a career with the brand as a Merchant, and is highly analytical, detail-oriented, and has a strong knowledge and passion for the men’s market and the Rag & Bone brand. Primary Responsibilities Product & Collection Merchandising • Act as a strategic partner to Design and Product Development throughout the seasonal calendar, from concept through delivery, • Translate brand vision, trend direction and customer insights into clear line plans, category strategies and product briefs, • Collaborate with Design to shape silhouette, fabrication, color and pricing architecture across collections, • Guide Product Development on cost targets, margin goals and construction decisions to ensure commercial viability, • Own and maintain line architecture (good/better/best, opening price points, core vs. fashion, key items), • Lead seasonal line and proto reviews, ensuring collections are cohesive, balanced and aligned with business objectives, • Evaluate samples with Design and Product Development, providing feedback on fit, fabric, value and assortment balance, • Ensure collections are developed with SKU, margin and calendar targets, • Develop seasonal merchandise assortments aligned with brand vision, target customer and contemporary market trends, • Partner with planning to manage SKU counts and category mix, • Analyze sales, margin and inventory performance to inform assortment decisions and future seasonsMarket & Trend Analysis, • Monitor contemporary menswear trends, competitive landscape and consumer behavior, • Conduct market research competitive analysis to identify opportunities and assortment gaps, • Translate trend insights into actionable merchandising strategiesPerformance & Lifecycle Management, • Support seasonal line reviews, market appointments, product knowledge seminars and internal presentations, • Maintain accurate product data, pricing and assortment toolsCross-Functional Collaboration, • Partner with Sales and Marketing teams to support go-to-market strategy and product positioning, • Align closely with Marketing on product flow, key launches and storytelling moments, • Collaborate with Production and Sourcing to ensure product execution aligns with cost, quality and delivery expectationsQualifications, • 3+ years of merchandising experience; preferred menswear background, • Strong understanding of men’s categories, fit, fabrication and pricing dynamics, • Highly analytical with advanced Excel skills and experience using merchandising and PLM systems, • Proven ability to balance creative intuition with financial discipline, • Excellent communication and cross-functional collaboration skills Annual Salary Pay Range $70,000-$90,000 based on experience and qualifications Rules we live by | Rules you live by • Be a Good Human - Be original, be authentic. Stand for diversity, equitability & inclusivity., • Have No Fear - Innovate, solve problems, • Own Every Decision - Work together, get results, • Quality Matters – Not only with product but we see it in our people, • Make S**t Happen - Be disciplined, be competitiveBenefits, • Paid Time Off, • Clothing Allowance, • Generous Employee Discount, • Paid Parental Leave, • Membership to Calm and access to other wellness benefits, • Medical, dental, vision and ancillary benefits Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The employee is regularly required to sit; use hands to finger, handle, or feel and talk or hear. The employee is occasionally required to stand; walk; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and taste or smell. The employee must occasionally lift and/or move up to 30 pounds. Specific vision abilities required by this job include close vision. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Powered by JazzHR EMD3kkWPg7

Job Description Wolf & Badger is on a mission to make retail fair. Working to support our community of 2000+ independent designers from around the globe, we connect customers with ethically sourced fashion, design, home and beauty through our online marketplace and flagship stores in London and New York City and Los Angeles. We are a rapidly growing scale-up business, now entering an exciting new phase of growth and looking to expand our team of c.100 people currently located between London, New York and Los Angeles. We are a Certified B Corporation, with social and environmental purpose at the core of everything we do, read more about us here. We are currently recruiting for a full-time Store Supervisor to join our store team in our New York store in Soho. Our retail spaces are a convergence of our mission, purpose and values and they are where the brand truly comes to life. The successful candidate will be the ultimate brand ambassador for Wolf & Badger in increasing brand awareness, driving sales and handling relationships with customers and brands. Please note that this role is a retail environment and will therefore include work on weekends and some public holidays. The position reports to the NY Store Manager. Duties will include: • Brand Education, Sales, Styling & Merchandising, • Educate new customers on the Wolf & Badger concept and key selling points for each of our community of brands, • Develop new and maintain existing relationships with our best customers and build book of business, • Provide styling advice and drive multi-item transactions, • Deliver the highest level of customer service, • Engage in visual merchandising of displays in the store, • Team Management, • Oversee sales associates and manage performance, • Make sure daily responsibilities/tasks are being delegated and completed, • Train new retail staff members, driving improvements and motivating employees to achieve goals, • Operations, • Complete daily opening/closing procedures, • Manage stock, replenish displays and keep stockroom organized, • Run sales and similar reports, • Take responsibility for the store during shifts, coordinating lunches and breaks, • Ensure health and safety protocols are strictly followed, • Ensure the store is maintained and in a pristine condition at all times, • Work with online customer service to match in-store stock with online customer requests, • Handle myriad of additional store and online administrative tasks, • Get involved in other ad hoc projects as might present themselves in a high-growth company, • Brand Relations, • Develop strong relationships with our brands that are stocked in-store, • Respond to inquiries from the brands and assist them as needed including providing insights and feedback from customers, • Liaise with the head-office brands team as needed, • Content, Events & PR Support, • Work with content and marketing teams to assist with the production of relevant in-store videos, photos and other creative materials for social media, • Work with brands and events teams to produce and execute in-store events Key skills and requirements for the role: • Prior supervisor experience, ideally within a multi-brand environment; exposure to/experience with an ecommerce or online marketplace business or retail startup is a plus, • Motivated to lead by example, giving a great customer experience and fostering repeat-custom, • Self motivated, highly organized and with sharp attention to detail, • Top-notch interpersonal, verbal and written communication skills, • Ability to properly prioritize and balance customer-facing, operations and other duties, • Adept at using/adopting a variety of software types, such as POS (Shopify), word processing/spreadsheets (Google Workplace), project management (Asana), communication (Slack, Zoom), • Enjoy being part of a team and doing whatever it takes to help the team succeed Benefits include: • $23.75-$24.75 per hour depending on experience plus a generous uncapped personal sales commission!, • Generous health insurance contribution with a choice of plans, • Significant vacation/PTO allotment and paid safety/sick leave, • Paid volunteering leave, pet-ernity leave and heartbreak leave, • Quarterly Wellness Wallet - to spend on products and services which are meaningful to you, • Subscription to yulife health and wellbeing app, • 401k with employer match, • Creative work environment at our vibrant store in Soho, New York, • Staff discount online and in-store across Wolf & Badger, • Work in a positive organisation for people and planet. We are a certified B Corp! Wolf & Badger is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates. We encourage applications from people from all walks of life.

Job Description Location: In-Person – New York Area Compensation: Commission + Team Override (High Six-Figure to Seven-Figure Potential) High Rise Capital is actively expanding and seeking an experienced MCA Team Lead / Team Manager to help build and scale a high-performance sales floor. This is a leadership role for someone who understands the MCA industry at a deep level and can both produce personally and elevate a team. We are not looking for someone who simply manages spreadsheets — we want a leader who can control the room, drive energy, and step into deals when necessary to get them funded. The right candidate understands underwriting, lender appetite, stacking strategy, and how to position files correctly to maximize approvals. This position requires someone who leads from the front. You must be comfortable opening deals, handling objections, structuring files, negotiating terms, and closing business — while also coaching reps to do the same at a high level. Requirements Key Responsibilities • Manage and develop a team of MCA sales representatives, • Run daily morning meetings and sales trainings, • Track and enforce KPIs (dials, talk time, submissions, approvals, fundings), • Assist reps with deal structure and lender placement, • Jump on calls to help close or save deals when needed, • Maintain and grow lender relationships, • Create a competitive, high-accountability production culture Requirements (Non-Negotiable) • Minimum 2+ years of direct MCA experience, • Proven record of personal monthly funding production, • Experience handling both clean paper and high-risk files, • Strong understanding of stacking, debt ratios, and underwriting logic, • Ability to open and close deals confidently, • Prior experience managing or mentoring reps preferred, • Comfortable handling large files, including 6- and 7-figure opportunities Benefits What We’re Looking For We want someone who: • Is competitive and production-driven, • Leads by example, • Can manage multiple personalities, • Thrives under pressure, • Wants to build a serious operation — not just collect a paycheck Compensation & Opportunity We offer a competitive base salary for proven managers, along with aggressive commissions on personal production and an override on total team volume. Performance-based bonuses and uncapped earning potential ensure that your income grows as your team scales. For the right leader, this role represents a legitimate high six-figure to seven-figure opportunity based purely on performance and team development. You will be operating out of our 12,000 square foot office with capacity for 120 seats. We provide the full infrastructure needed to win — dialer, CRM, data access, lender relationships, and operational support are all in place. We also have two full-time in-house recruiters dedicated to building sales teams. We will actively help you scale your floor, although candidates who can bring experienced reps with them will have a strong advantage. If you have real MCA experience and know how to run a sales floor while still closing your own business, we want to speak with you. To apply, please submit your resume along with: • Your average monthly production, • The number of reps you’ve managed, • The largest deal you have personally closed Serious applicants only.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingIn this role, you will lead projects that help optimize our clients' Rights Management systems, and lead other technology and business consulting projects. We are looking for an organized and industrious leader who is passionate about content IP & Rights Management, and how it brings greater value to a client's assets.What you'll do • Lead project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment, • Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations, • Proactively identify risks and issues, and provide mitigation strategies, • Maintain strong client relationships while identifying opportunities beyond your current engagement, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat you'll bring, • 5-7+ years system implementation, SDLC, integration, and project management experience, • 3+ years of experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PwC), • Familiarity with an SDLC methodology that covers requirements analysis, development, and delivery, • Some experience in the following Rights Management areas:, • Rights management system implementation (e.g., Rightsline, RSG, Mediamorph, FilmTrack, Vistex), • Rights management in content acquisition / production management, publishing / distribution, and licensing, • Rights management experience with participations and/or residuals, • Experience managing teams through client-facing activities such as requirements gathering, stakeholder workshops, and deliverable review/approval sessions, • Experience in project planning, including building and managing to project plans, budgeting, resource allocation, and reporting status to clients and internal teams, • Experience with presentation and spreadsheet tools, such as PowerPoint, Excel, and Visio, • Bachelor's degree in engineering, information systems, computer science, business administration, or other related fields, • Flexibility to work on any type of project, • Bachelor’s degree in engineering, information systems, computer science, business administration or other related fieldsPreferred Experience, • Experience in Media & Entertainment and/or Consumer Products industries, • Agile or Scrum experienceTravel RequirementsEmployees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region. Remote & Hybrid WorkWhile remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive. Life at QvestWe were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Equal Employment OpportunityQvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Job Description Engineering the Materials Behind Performance At Reflex, we view fabric as a technology platform. We are seeking a Fabric Developer - Apparel Textiles who combines material expertise with a data-driven, process-oriented mindset to drive innovation, scalability, and performance across our apparel product lines. This role sits at the intersection of design, development, and production, leveraging technical textile knowledge and systems thinking to bring advanced materials from concept to bulk with precision and speed. What You’ll Do • Lead end-to-end fabric development, applying technical expertise to engineer materials that meet performance, cost, and scalability targets, • Partner cross-functionally with Product Development, Design, Production, and Merchandising to align material innovation with product strategy, • Work directly with domestic and global mills/vendors to develop, test, and scale fabrics across proto, salesman sample/SMS, and bulk stages, • Manage and optimize development timelines using structured tracking tools and milestone reporting, • Own fabric testing protocols, including performance, durability, shrinkage, colorfastness, pilling, stretch/recovery, and compliance; analyze results and drive data-informed decisions, • Troubleshoot development challenges using root-cause analysis and implementing scalable solutions, • Evaluate and recommend alternative materials based on performance metrics, cost engineering, and supply chain feasibility, • Maintain and update material data, ensuring accuracy and transparency across teams, • Identify opportunities to improve speed-to-market, reduce cost, and enhance material performance through process optimization What You Bring • 3+ years of experience in fabric development, textile engineering, apparel product development, or apparel manufacturing, • Strong technical knowledge of fabric construction, fiber composition, performance treatments, and finishing processes, • Understanding of testing standards and quality control protocols, including shrinkage, colorfastness, pilling, stretch/recovery, and related fabric performance testing, • Experience working with global mills and suppliers, with awareness of regional capabilities and country-of-origin strengths, • Experience with fabric development across proto, sample, and bulk production stages, • Proficiency in Microsoft Excel and PLM systems; familiarity with Illustrator or other technical tools is a plus, • Strong analytical mindset with the ability to interpret data and translate it into actionable decisions, • Excellent communication skills, with the ability to clearly convey technical information across teams Why This Role Stands Out Material innovation: Work with advanced fabrics and performance-driven technologies Systems impact: Influence how materials are developed, tracked, and scaled across the organization Global exposure: Collaborate with a diverse network of mills and suppliers Data-driven environment: Move beyond intuition; use testing, metrics, and analysis to guide decisions Career growth: Ideal for someone looking to deepen technical expertise and expand into strategic material development Who You Are You’re not only interested in developing fabrics, but in engineering solutions. You think in terms of performance, data, and scalability, and you’re constantly looking for ways to improve how materials are built and brought to market. If you’re excited by the technical side of apparel and want to play a key role in advancing products through smarter, faster, and more innovative material development, this is your opportunity. Company DescriptionReflex Performance Resources Inc. is a global sourcing company that specializes in the manufacturing and sale of Activewear Apparel. Our ultimate mission is to create lifestyle brands that combine the elements of style, comfort, fit, and performance. We pride ourselves on producing high quality garments that are affordable and accessible.Reflex Performance Resources Inc. is a global sourcing company that specializes in the manufacturing and sale of Activewear Apparel. Our ultimate mission is to create lifestyle brands that combine the elements of style, comfort, fit, and performance. We pride ourselves on producing high quality garments that are affordable and accessible.

Are you looking to be a member of an industry-leading team? Do you want to deliver innovative and effective solutions to clients? If you said yes, then apply to join our Account Executive team in New York City! At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed. • Retains and grows Aon's business, cultivating relationships with senior-most client decision-makers in the client organization as well as with day-to-day client contacts., • Drives the renewal process, assembling the appropriate team to develop and implement the client-specific renewal strategy., • Coordinates with Brokers in the development and delivery of renewal strategies., • Facilitates critical relationships between clients, ARS and insurers., • Ensures client service team understanding of client needs, service delivery methods, and the economic framework relevant to services delivered., • Leads stewardship planning and delivery, • Ensures overall account profitability with a value-based approach for the scope of service and costs associated with the Client Promise Plan., • Arranges Aon compensation for services, whether fee or commission-based, accordingly., • Educates clients in risk management, risk transfer, market issues and relevant trends including appropriate benchmarking and GRIP data., • Marshals appropriate Aon resources to support clients in unusual circumstances such as large claims, etc., • Involves others across geographic (including international), functional and business unit boundaries to define interdependent responses to opportunities to grow the business., • Must have a minimum of 15 years of Property & Casualty (P&C) experience, • Experience managing large, sophisticated accounts, • Organizational, interpersonal, and project management skills with an ability to multi-task and prioritize workload with attention to detail., • Critical thinking skills with the ability to clearly express thoughts and concepts at various levels., • Excellent digital literacy, including working experience with Microsoft Office Suite (Word, Excel, PowerPoint, and Outlook). The salary range for this position is $275,000 to $350,000 annually. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location. This position is eligible to participate in one of Aon's annual incentive plans to receive an annual discretionary bonus and production incentives in addition to base salary. The amount of any bonus and production incentives varies and is subject to the terms and conditions of the applicable incentive plan. For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances. Aon is not accepting unsolicited resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Aon hires that candidate. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. #LI-JG1 2568490

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Location: Remote (For Non-Local) or Hybrid (Local to Denver or NYC area) Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as an AI Success Manager.We are looking for an experienced professional with AI and machine learning expertise to join us in applying cutting-edge open-source tools and/or those developed within the company to increase efficiency and reduce friction within the company as well as for our customers. AI Success Managers drive client value, adoption, and retention for AI products by guiding onboarding, optimizing use cases, and fostering strategic partnerships. They act as technical advisors and change agents, ensuring safe, ethical, and high-ROI deployment of AI solutions. Core duties include accelerating time-to-value, managing a cross-functional technical team, and monitoring performance KPIs. Core Responsibilities and Roles • Adoption and Value Realization:Accelerate customer time-to-value by ensuring rapid adoption and operational excellence for AI solutions., • Strategic Advisory:Act as a strategic partner to department leaders within the company and external clients as needed, mapping AI capabilities to business goals,identifyingnew use cases, and driving expansion., • Implementation Management:Lead the end-to-end onboarding process, including scoping, technical setup, and training, to ensure successful deployment., • Performance Monitoring:Track and analyze key AI usage metrics, such as model performance, adoption rates, and ROI, to inform optimization strategies., • Change Management:Guideclients through the organizational changesrequiredfor AI adoption, focusing on training and cultural alignment., • Technical Support and Advocacy:Act as a liaison between the clients/departments and the AI product/engineering teams to resolve technical issues and advocate for product enhancements., • Risk Management:Proactivelyidentifypotential bottlenecks, ethical concerns, or security risks in AI deployment., • Manage and lead team of small team Machine Learning Engineers, • AI Technical Proficiency:Deep understanding of Generative AI/ML models, Agentic AI, API usage, and data management., • Relationship Management:Ability to build trust with key stakeholders and executives., • Strategic Thinking:Capability to align complex AI technology with business strategy and outcomes., • Change Leadership:Expertisein guiding organizations through digital transformation., • Data Analysis:Proficiencyin interpreting usage data to make informed decisions. RequiredQualifications: • Bachelor's orMaster's degree in Computer Science, Machine Learning, or a related quantitative field., • Minimum6years(4 years withMastersdegree)of experience in industry with a strong focus on ML solutions development and production deployment., • At least 2 years of experience in Engineering Management with teams of 4 or more engineers, • Strongproficiencyin Python., • Familiarity with cloud platforms such as AWS or Azure., • Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, GoogleGeminietc. Experience developing and fine-tuning prompts on any of the GenAI services, • Passion for customer, innovation, product quality, service excellence, and test engineering, • The ability to work collaborativelyacross multiple disciplinesin an extremely fast-paced, startup environment. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Location: Hybrid (Local to NYC area) About the team The Platform team at Capital Rx is made up of a set of passionate, motivated, and driven individuals who are not only experts in technologies but are great problems solvers and brings high energy and inspiration every day. The team always works a sense of ownership and urgency delivering highest quality of work ensuring seamless operations and fostering collaboration across the software engineering department. We own the architecture, framework & standards, infrastructure and CI/CD pipelines which development teams utilize to deliver code to Captial Rx's Judi platform. The team is also responsible for the production environment which requires knowledge with monitoring, alerting and on-call practices. The Platform team performs many functions whether that is tactical operations, providing general solutions for the enterprise or giving guidance or recommendations for individual product teams. Position Summary: We are a rapidly growing late-stage health tech company helping millions of lives through our innovative product Judi. We're seeking a highly skilled and experiencedSenior Platform DeveloperIIto join our platform team. This pivotal role will be instrumental in building, scaling, and maintain the robust and secure infrastructure that powers our mission-critical platform. You will be a force multiplier, enabling our development teams to deliver features faster and more reliably. You will champion infrastructure-as-code principles, contribute code to platform scalability, drive automation across the entire software development lifecycle, and ensure our platform meets the highest standards of scalability, performance, and security. Position Responsibilities: • Architect, implement, and maintain highly available, scalable, and secure platform & infrastructure, • Develop and maintain robust automation pipelines for continuous delivery (CI/CD), and infrastructure provisioning tools like GoCD, Harness, and Terraform, • Write clean, efficient, and well-tested Python code for automation, tooling and service development., • Manage and optimize relational or in-memory databases, including PostgreSQL, Redshift and Redis, ensuring high performance, reliability, and data integrity., • Administer and finetune container orchestration platforms such EKS and ECS., • Implement and manage serverless architectures leveraging AWS Lambda for various platform functionalities., • Collaborate closely with development teams to ensure infrastructure aligns with application requirements and best practices., • Lead efforts in defining and enforcing security best practices across the platform, including adherence to HIPAA standards, FISMA, SOC II, and FedRAMP compliance standards., • Monitor systems performance, identify bottlenecks, and implement proactive solutions to ensure optimal operation and scalability., • Participate in on-call rotations to provide operational support and incident response., • Champion Agile/Scrum methodologies, actively participating in sprint planning, stand-ups, and retrospectives., • Mentor junior developers and contribute to a culture of technical excellence and continuous improvement., • Evaluate and recommend new technologies and tools to enhance platform capabilities and efficiency., • Develop internal tooling and automation scripts using Python and work with SQL to support operational workflows., • Implement observability (monitoring/logging/alerting) best practices for highly available SaaS services., • 8+ years of experience as a Platform Engineer, DevOps Engineer, or Site Reliability Engineer., • Deep expertise inAWSinfrastructure and services including but not limited to EC2, Lambda, ECS, EKS, RDS, S3, VPC, CloudWatch, SQS, SNS, IAM, Kinesis, • Excellent proficiency withTerraform,Python,SQL, and automation tooling., • Extensive experience withDockerand container orchestration (Kubernetes/EKS)., • Solid understanding and hands-on experience with SQL, database administration (PostgreSQLpreferred), and performance tuning, • Experience withCI/CDsystems (e.g., GoCD, GitHub Actions, Harness)., • Proven experience in automatingObservability & Monitoring (Grafana, Kibana, Prometheus),standardizing incident response for alerts to maintain SLAs and SLOs, • Hands-on experience in environments compliant withFISMA,SOC 2, and/orFedRAMP., • Background in buildinghighly scalable, performant SaaSplatforms., • Excellent communication, collaboration and problem-solving skills., • Ability to work effectively with cross-functional teams, including developers, IT security & compliance, product manager, and scrum masters., • Strong experience inproduction on callrotations and responding to alerts. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$160,000—$200,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research. If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you. You will: • Build and deploy multi-agent systems for agentic reasoning validation, • Develop pipelines to detect errors and scale human judgment, • Combine classical ML, LLMs, and multi-agent techniques for reliability, • Lead research into agent failure modes and ship fixes, • Use AI tools to speed prototyping and iteration, • Build data-driven evaluations and deploy rapid improvements, • PhD or MSc in Computer Science, Mathematics, Statistics, or related field, • 3+ years shipping scaled production ML systems, • Demonstrated real-world impact, • Mastery of PyTorch, TensorFlow, JAX, or scikit-learn, • Deep expertise in agentic LLMs and multi-agent systems, • Strong software engineering and microservices (AWS/GCP), • Rapid, data-driven iteration, • Proficiency using AI tools to accelerate work, • Strong research depth with practical bias, • Experience prototyping agent evaluation/reliability systems, • Human-in-the-loop or annotation pipeline work, • Open-source contributions in agents, evaluation, or alignment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Enterprise Account Executive (Healthcare & Life Sciences) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI's most strategic healthcare and life sciences customers. This role is focused on selling complex, agentic AI solutions - autonomous workflows powered by LLMs and human-in-the-loop systems - into health systems, payers, pharma, biotech, and digital health organizations. You will act as a strategic partner to clinical, operational, and technical leaders - helping them transform core workflows such as clinical documentation, prior authorization, revenue cycle, pharmacovigilance, clinical trials, medical affairs, and patient engagement through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, strong executive presence, and the ability to navigate regulatory, compliance, and multi-stakeholder complexity. You will own the full customer lifecycle - from origination through close, deployment, and expansion - while quarterbacking cross-functional teams across Solutions Engineering, Product, Research, and Delivery to land and scale high-impact AI programs. • Own and expand relationships with leading healthcare and life sciences organizations (providers, payers, pharma, biotech), focusing on multi-year, strategic AI initiatives, • Sell agentic AI solutions by mapping Scale's capabilities to high-impact workflows (e.g., clinical documentation, prior auth, revenue cycle, patient ops, clinical trials, drug safety, medical review), • Build trusted relationships with executive stakeholders (CIO, CTO, CMIO, Chief Data/AI Officer, Heads of Clinical Ops, R&D, Commercial), • Develop and execute multi-threaded account strategies that drive net-new revenue, expansion, and long-term platform adoption, • Lead complex deal cycles, including ROI modeling, business case development, and mutual close plans across new business, renewals, and expansions, • Partner closely with Solutions Engineering to design and land technically credible pilots, POVs, and production deployments, • Navigate healthcare-specific regulatory and compliance requirements (e.g., HIPAA, GxP, data governance, auditability) throughout the sales process, • Act as the voice of the customer internally - informing product roadmap, agent design, and vertical-specific solutions, • Maintain strong pipeline discipline, forecasting accuracy, and deal hygiene using Salesforce, Clari, and related tools, • Operate effectively in a fast-paced, cross-functional environment with high ownership and attention to detail, • 8-12+ years of enterprise sales experience, with significant focus on healthcare or life sciences (providers, payers, pharma, biotech, or digital health), • Proven track record of closing and expanding large, complex, multi-million dollar deals in regulated environments, • Experience selling AI/ML, data platforms, or workflow automation technologies, with the ability to position agentic / LLM-driven solutions to both technical and non-technical stakeholders, • Strong understanding of key healthcare/life sciences workflows (e.g., clinical operations, revenue cycle, patient engagement, R&D, clinical trials, pharmacovigilance), • Demonstrated success engaging executive stakeholders and building compelling ROI-driven business cases, • Familiarity with regulatory and compliance considerations (e.g., HIPAA, FDA/GxP, data privacy, model governance), • Strong command of enterprise sales fundamentals, including account planning, multi-threading, and forecasting discipline, • Ability to navigate long, complex sales cycles with multiple stakeholders and competing priorities, • Excellent communication, storytelling, and executive presence, • High degree of ownership, intellectual curiosity, and a consultative, customer-first mindset, • Experience selling agentic AI, LLM platforms, or automation solutions into healthcare or life sciences, • Background working with clinical, regulatory, or data organizations, • Familiarity with EHR systems, clinical data, or real-world evidence platforms About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: Morningside Columbia Engineering seeks an Assistant Director of Multimedia to lead the school's multimedia storytelling strategy and production. As a core member of the Dean's Office communications team, this role develops and produces high-impact video and visual content that elevates faculty research, academic initiatives, and institutional priorities. Working closely with the Executive Director of Communications and members of the communications team, the Assistant Director produces multimedia content that amplifies press releases, research features, and major communications initiatives across the school's website, social media channels, and media relations efforts. Serving as the video lead for the Dean's Office communications team, the Assistant Director oversees the full production lifecycle-from concept development and filming to graphics, post-production, and distribution-while ensuring all assets align with Columbia University and Columbia Engineering brand standards. The role also manages external production vendors and freelance crews and collaborates with partners across Columbia University to extend the reach and impact of multimedia storytelling. Expert knowledge of digital video platforms, including YouTube, is required, along with the ability to develop both long-form features and short-form content optimized for audience engagement. Responsibilities Multimedia Production (55%) Lead the full production cycle for video projects, including concept development, scripting, scheduling, staging, filming, editing, and distribution through social media platforms. Execute advanced post-production techniques, including motion graphics, color correction, sound design, and visual effects using industry-standard software. Produce multimedia content across formats, including short-form social media features, faculty research profiles, institutional campaigns, and long-form storytelling. Direct interviews and lab demos with faculty and student researchers to distill technical subject matter into engaging scenarios. Graphic Design & Brand Alignment (15%) Design and integrate branded visual elements into multimedia content to ensure consistency across the School's digital ecosystem. Develop research visuals, diagrams, charts, and other science-based imagery as needed to support faculty scholarship and storytelling initiatives. Create supporting assets such as lower-thirds, title sequences, thumbnails, infographics, and social media graphics aligned with School branding guidelines. Ensure formatting consistency and visual alignment across multimedia outputs to reinforce the School's identity standards. Vendor Contracting & Production Management (15%) Scope and manage large-scale or high-visibility multimedia projects requiring external production support. Develop project briefs and coordinate vendor selection in alignment with University procurement policies. Manage freelance production teams and contracted vendors, including directors of photography, editors, animators, designers, and sound engineers. Oversee project timelines, budgets, deliverables, and on-site production logistics. Review vendor deliverables to ensure technical quality, brand alignment, and editorial accuracy. Digital Asset & Technical Operations (10%) Maintain the school's digital asset management system, including file organization, metadata tagging, usage tracking, and archiving. Manage multimedia production equipment inventory, maintenance, upgrades, and secure storage. Oversee video encoding, captioning, accessibility compliance, and optimization for web and social media distribution. Ensure multimedia assets are optimized for digital discoverability and platform standards. Institutional Collaboration & Strategic Integration (5%) Partner with University Public Affairs, peer schools, research centers, advancement, admissions, and departmental leadership to support strategic storytelling initiatives. Identify opportunities to leverage multimedia assets across communications campaigns, digital platforms, and external engagement. Provide on-camera coaching and media preparation for faculty, researchers, and student participants. Minimum Qualifications Bachelor's degree or equivalent professional experience. 3-5 years of professional experience in film, video production, or multimedia design. Advanced proficiency in Adobe Creative Suite, including Premiere Pro, After Effects, Photoshop, and Illustrator. Demonstrated experience operating professional cinema-grade cameras, lighting systems, and audio equipment. Experience managing freelance production teams or external vendors. Knowledge of digital distribution platforms, video encoding standards, accessibility requirements, and metadata practices. Portfolio or demo reel submission required. Preferred Qualifications Keen interest in science, engineering, and technology, with the ability to engage thoughtfully with technical subject matter. Experience working in higher education, research, science, or institutional communications Keen interest in Science environments. Familiarity with emerging production technologies, including AI-assisted editing and media tools. Strong organizational skills and the ability to manage multiple concurrent projects. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

ROLE SUMMARY The Agent Developer Senior Manager will participate in the design development and deployment of AI agents that automate workflows enhance decision-making and enable intelligent user interactions across the enterprise. This role will partner cross-functionally and focus on integrating multi-agent frameworks and ensuring scalable ethical and high-performance agent-based systems. In this role you will be responsible for: Technical Leadership Leads the technical direction for assigned AI initiatives. Collaborate with product data and engineering teams to align AI priorities with business outcomes. Contribute to cross-pod governance and represent the AI Accelerator in enterprise discussions. Design & Development Support the development and implementation of scalable efficient and secure AI or data systems. Participate in the development of automation workflows and APIs that integrate with Utilize cloud infrastructure (Azure/AWS/GCP) and MLOps frameworks for continuous Ensure code quality testing and maintainability through best development practices. delivery. Operational Excellence Participate in the development of automation workflows and APIs that integrate with Utilize cloud infrastructure (Azure/AWS/GCP) and MLOps frameworks for continuous Ensure code quality testing and maintainability through best development practices. Supports development of KPIs and success metrics f for key deliverables. Oversee and manage documentation sprint planning and backlog prioritization in agile environments. Ensure system monitoring observability and proactive issue resolution. Continuously optimize performance and cost efficiency of AI systems. Collaboration & Innovation Partner with Business Translators UI/UX and Change Management teams to translate needs into deployable AI solutions. Participate in the evaluation of new technologies and frameworks that enhance automation or predictive insights. Drive innovation through participation in hackathons proof-of-concepts and partnerships with vendors. Promote a culture of responsible AI ethics and compliance. BASIC QUALIFICATIONS Bachelors degree in Computer Science Engineering or related field. 6 years of relevant experience in AI software or data development. Experience with agentic orchestration frameworks (e.g. Langchain) Vector databases (e.g. pinecone) embedding models RAG architecture and LLM principles. Proven leadership in managing technical teams and delivering enterprise-scale projects. Strong knowledge of agile methodologies and DevOps practices. Preferred Qualifications Masters degree or PhD in Computer Science Data Science or related field. Experience in pharmaceutical or healthcare technology environments. Familiarity with compliance standards such as GxP HIPAA and data privacy regulations. Demonstrated success in deploying AI or ML solutions in production environments. Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers develop and coach others oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Other Job Details: Last day to apply: May 15 2026 Work Location Assignment:Hybrid The annual base salary for this position ranges from $124400.00 to $207400.00. In addition this position is eligible for participation in Pfizers Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of lifes moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution paid vacation holiday and personal days paid caregiver/parental and medical leave and health benefits to include medical prescription drug dental and vision coverage. Learn more at Pfizer Candidate Site U.S. Benefits (). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN O-1 H-1B etc.) is not available for this role now or in the future. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care providers name address and the type of payments or other value received generally for public disclosure. Subject to further legal review and statutory or regulatory clarification which Pfizer intends to pursue reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse your name address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race color religion sex sexual orientation age gender identity or gender expression national origin disability or veteran status. Pfizer also complies with all applicable national state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make______

Description The Team: The Planning and Allocation team supports Hermès of Paris business by managing the process of sales forecasting open to buy (OTB) oversee auto replenishment inventory management reporting and analysis. The Allocationteam develops strategies and sets clear directions to maximize business performance. The Opportunity: We are seeking an experienced and detail-oriented Allocation Manager to join our Planning and Allocation this role you will manage the strategic distribution of products while ensuring optimal stock levels are aligned with customer demand. You will lead allocation processes with a data-driven approach and collaborate cross-functionally to support sales and inventory goals. About the Role: Key Responsibilities: • Lead and oversee the end-to-end allocation strategy across boutiques and channels ensuring optimal product distribution aligned with business objectives client demand and brand standards, • Develop and manage pre-season and in-season allocation plans including initial allocations replenishment auto-replenishment and rebalancing to maximize sell-through and maintain healthy inventory levels, • Lead the continuous improvement of allocation tools systems and processes including the implementation and optimization of replenishment solutions., • Lead post-buy and hindsight analysis in partnership with Merchandising to evaluate performance and inform future buying and allocation strategies, • Monitor store performance sales trends and inventory levels to identify risks and opportunities proactively addressing overstock stock-outs and imbalances, • Collaborate cross-functionally with Merchandising Logistics Retail Operations and IT to support product launches seasonal transitions and key business initiatives, • Track inventory flows from distribution centers to boutiques supporting allocation strategies for seasonal deliveries and key launch moments, • Support the development and ongoing management of back-of-house (BOH) capacity plans monitoring store capacity against current and future inventory levels and escalating risks as needed, • Analyze allocation sales and inventory KPIs providing clear reporting and actionable insights to senior leadership and cross-functional partners, • Develop and maintain a strong understanding of store profiles including master data lead times and delivery constraints to enhance allocation effectiveness, • Develop and enhance allocation reporting and analytics to enable timely insights that support strategic decision-making, • Provide training to Store Associates with current replenishment tools and processes knowledge not limited to ad-hoc inquiries directed by senior team members/leadership Supervisory Responsibility: • NO Budget Responsibility: • NO Decision Making Responsibility: • YES, • Approval of Transfers, • Approval of Initial allocation, • Inventory management between boutiques About You: • Bachelors degree in Business Inventory Planning Retail Planning Supply Chain Management or a related field., • 45 years of experience in allocation planning or merchandise management preferably with leadership or mentoring experience., • High proficiency in retail math and Excel including data analysis forecasting and modeling., • Proven ability to coach mentor and guide team members fostering a collaborative and high-performing environment., • Comfortable and confident making allocation decisions and recommendations grounded in data., • Strong ability to multi-task prioritize and adapt in a fast-paced dynamic retail environment., • Exceptional strategic thinking and analytical skills with experience managing and interpreting large datasets to drive informed decisions., • Demonstrated ability to drive process improvements develop systematic approaches deliver results and resolve issues with a continuous improvement mindset., • Excellent communication presentation and listening skills with the ability to collaborate effectively with team members cross-functional partners and field colleagues at all levels. The range for this position is $95000 - $110000 annually. Actual rates are determined based on the job location and individual experience. Hermès is proud to offer a variety of benefits to support the needs of our employees and their families including: • Commission and bonus incentives based on sales performance, • Medical Dental Vision, • Life Insurance and Disability, • Paid time off (annual vacation of 15 days 11 company holidays 3 floating holidays 2 wellbeing days and sick & safe time), • Paid Parental leave and transition time, • 401(k) and Roth Retirement plan with company matching and profit sharing, • Various voluntary benefits such as flexible spending accounts fitness reimbursement voluntary life insurance, • Product discount and EAP resources, • Access to Calm App Health Advocate Family Building Support and more! We are looking for a candidate that has a combination of the above attributes and can perform the key functions of the role with or without reasonable accommodations. Company Overview: Since 1837 Hermès has remained faithful to its artisan business model and humanist values. We place people at the heart of what we do and aspire to make a positive impact on the world. The freedom to create the constant search for beautiful materials the transmission of a savoir-faire of excellence and the aesthetic of functionality define the singularity of Hermès a house dedicated to making highly-crafted beautiful objects made to stand the test of time. An independent family-owned company Hermès is dedicated to keeping production in France through its 42 workshops The Hermès organization is also a truly global community with a network of 310 stores in 49 countries. Hermès employs more than 15000 people worldwide with over 6000 of the workforce being Hermès craftspeople engaged in making artisanal products nurturing a 180+ year tradition of creativity and innovation. At Hermès our actions for sustainable development and corporate social responsibility are founded in values passed down by generations of humble artisans who have shaped the story of our house and the integrity of our objects. The roots of Hermès success and longevity lie in a sense of responsibility; a quest for authenticity and respect for time and preservation of natural resources. All at Hermès wish to leave a positive footprint on the world a mission thats at the heart of our commitment to progress. This narrative can be experienced in a series of shorts films Footsteps Across the World available on our website. Link ___

We believe that the way people interact with their finances will drastically improve in the next few years. Were dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo SoFi several of the Fortune 500 and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaids network covers 12000 financial institutions across the US Canada UK and Europe. Founded in 2013 the company is headquartered in San Francisco with offices in New York Washington D.C. London and Amsterdam. The Analytics Engineering team owns the full-stack analytics foundation for Plaids GTM CGX NEA and Marketing organizations. We build and maintain the core semantic layer data models (dbt on Databricks) activation layer and BI surfaces that these teams rely on and we partner with stakeholders to turn those models into decisions forecasts analytics and experiments. As an Analytics Engineer youll also act as an applied data science addition to core analytics engineering youll work on predictive modeling experimentation lifetime value (LTV) and attribution alongside the broader team. As an Analytics Engineer on the Marketing pod you will be the technical owner of Plaids Marketing data stack. You will build the dbt models predictive frameworks and self-serve data products that Marketing leadership uses to plan spend measure performance and drive growth. Youll partner directly with PMM Growth Marketing and Marketing leadership to deliver core data models frameworks and tools including LTV lead scoring and experimentation tooling with a north star that aims for prescriptive and production-grade analytics. Youll also help build the AI-powered experiences that let Marketing partners self-serve from our metric layer • Own the dbt models and data marts that power Marketing analytics activation and reporting., • Build validate and productionize predictive models (lead scoring LTV channel attribution propensity) in partnership with Marketing and GTM stakeholders, • Partner with Marketing leadership on measurement frameworks experiment design and spend optimization translating business questions into analytical answers, • Enable self-serve analytics through AI tools and well-documented semantic models, • Collaborate with ML Data Engineering and Ops teams to deliver best-in-class data infrastructure to Marketing, • Bachelors degree in a quantitative field (CS Statistics Economics Engineering or equivalent experience), • 4 years of proven experience in analytics engineering data science or a closely adjacent function, • Advanced SQL and production-grade data modeling experience dbt strongly preferred, • Python proficiency for modeling and analysis work, • Hands-on experience with a modern cloud warehouse (Databricks Snowflake BigQuery or Redshift), • Demonstrated experience shipping predictive models or applied ML in a business context, • Prior experience in Marketing Analytics Growth or GTM analytics at a SaaS or usage-based technology company Our geographic zones are as follows: Zone 1 - San Francisco / New York City / Seattle The base salary range listed for this full-time position excludes commission (if applicable) equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills experience and relevant education or training. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesnt fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race color national origin ethnicity religion or religious belief sex (including pregnancy childbirth or related medical conditions) sexual orientation gender gender identity gender expression transgender status sexual stereotypes age military or veteran status disability or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories consistent with applicable federal state and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability please let us know at _______________

Director, Finance Capital & Procurement is a highly skilled and strategic leader who will lead and manage the accounting, risks, controls and processes and provide support around the company's spend relating to capital and procurement both direct and indirect. The ideal candidate will have extensive experience in managing multiple priorities in a fast-paced environment. Fixed Asset and Capital • Direct the accounting and management of the company's fixed assets, including asset capitalization, depreciation, and impairment, • Establish and enforce policies and procedures for theaccuratetracking, recording, and reporting of fixed assets., • Provide direction & guidance on large capital projects, • Support the preparation and development of project master budgetsfor large projects, • Design and manage financial models to support the management of project spend and project status.Ensuredata integrity of data being used in reports and ad hoc requests, • Facilitates regular status meeting with essential parties to ensure transparency of project status and expectations, • Develop and communicatestandardoperatingprocedures to ensure that there is an effective and efficient system of internal controls, • Monthly,quarterlyand annualreconciliationand reporting, • Ensure proper Delegation of Spending Authorityadherence prior tocapitalexecution, • Leads, manages, and supports the production of central reporting, analysis and insight related to our commodity costs., • Oversee financial support for material spend across key processes, including forecasting, budgeting, cash management, strategic planning. Partner Procurement category teams in key deliverables for these areas., • Drive global standardization and implement best practices globally for Procurement Finance activities, including forecasting, cash management, budgeting, strategic planning and reporting., • Drives Productivity Programs for Procurement., • Leads initiatives to identify inefficiencies and in current processes and procedures related to Procurement Finance. Oversee and drives projects to implement changes to streamline workflows, increase efficiency, harmonize and standardize process and ways of working for Procurement Finance, • Recommend process improvement and action plans, • Investigate opportunities to reduce Company risk and streamline processes, • Perform ad hoc financial analysis asrequired, • Perform other duties andparticipatein special projects as assigned, • B.S. in Accounting or Finance.CPA and/or MBA a plus, • 10 + years of relevant general accounting or finance experience, • 2-3 years fixed asset experience, • Strong analyticaland problem solving, systems and communications skills, • Strong knowledge of US GAAP and financial reporting.Ability to develophigh levelsof credibility and forge solid and positive professional relationships with subordinates, peers, and upper management, • Proficient in Microsoft products, database software and other applicable accounting and financial software and systems, • Proficient in ERP fixed asset modules.Implementation a plus, • Ability to work in a fast-paced entrepreneurial environment, • Ability to handle multiple tasks simultaneously and switch between tasks quickly Chobani uses food as a force for good in the world - putting humanity first in everything it does. The company's philanthropic efforts prioritize giving back to its communities and beyond. Chobani manufactures its products inNew York,Idaho,MichiganandAustralia, and its products are available throughoutNorth Americaand distributed inAustraliaand other select markets. For more information, please visit___ or follow us on Facebook, Twitter, Instagram and LinkedIn. Chobani is an equal opportunity employer. Chobani will not discriminate against any applicant for employment on any basis including, but not limited to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, military and/or veteran status, marital status, predisposing genetic characteristics and genetic information, or any other classification protected by federal, state, and local laws. The salary range for this full-time position is $140,000.00 - $220,000.00, + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Chobani provides a comprehensive benefits package, including medical, dental, vision coverage, disability insurance, health savings account, flexible spending accounts, and tuition reimbursement. To help save for the future, all employees are eligible for a 401k match of 100% on up to 5% of eligible pay. To support growing families, we provide fertility and childcare assistance, and 12 weeks of parental leave at full pay after six months of continuous employment. In addition, we provide wellness resources which include an employee assistance program, fitness discounts, a wellness reimbursement, on-site gym access (certain locations) and a monthly wellness newsletter to connect you with resources and timely information. We offer various types of paid time of including: 120 hours of paid time off, 11 holidays, and paid volunteer time off.

Job Title Executive Director Edit Strategy and Operations Job Description About The Position Major goals and objectives and location requirements As Executive Director Edit Strategy and Operations for the People Inc. food brands you will lead strategic planning and drive growth across the entire portfolio including Allrecipes EatingWell Simply Recipes Serious Eats and more. This role combines strategic content leadership with operational execution requiring both high-level analytical thinking and hands-on implementation capabilities. Reporting to the SVP Associate Group General Manager you will develop data-driven strategies for growth product and revenue while ensuring operational efficiency. Hybrid 3x a week- (New York) In-office Expectations: This position is hybrid in-office with the ability to work remotely for up to 2 days per week. About The Positions Contributions: Weight % Accountabilities Actions and Expected Measurable Results * 30%: Develop and execute strategies to drive audience growth and engagement across multiple brands in partnership with senior food leadership. Develop complex modeling (financial and digital KPIs) and scenario planning to create business cases to support strategy and investments. Oversee P&L and budget planning with the SVP Associate Group General Manager. * 30%: Oversee content operations production and library management. Lead cross-functional meetings and ensure alignment across teams. Bridge communication gaps between product editorial and marketing functions * 20%: Streamline editorial operations to boost efficiency data accessibility and team productivity. Manage content production and promotion workflows in conjunction with SVP Associate Group GM and brand editorial leadership. Identify pilot and scale AI-powered solutions to reduce manual effort and unlock creativity including establishing frameworks for responsible AI usage quality control and brand voice consistency. * 20%: Partner with product marketing revenue and growth teams to optimize user experience and brand performance. Align cross-functional teams (content growth product ART social) to ensure process and operations exist to achieve goals. Pilot innovative product features and business models in collaboration with internal teams. Implement annual strategic planning processes across brands consulting with Associate Group GM on prioritization and execution The Roles Minimum Qualifications and Job Requirements: Education: * Bachelors degree and/or equivalent experience. Experience: * Minimum 10 years of relevant work experience * Proven track record of driving audience growth and engagement through strategic initiatives Specific Knowledge Skills Certifications and Abilities: * Strong analytical skills with the ability to turn data into actionable insights and content strategies * Solid understanding of editorial operations workflows and systems * Excellent communication skills and ability to influence at all levels * Expertise in content strategy SEO and audience development * Ability to balance editorial quality with business objectives % Travel Required (Approximate): 5% It is the policy of People Inc. to provide equal employment opportunity (EEO) to all persons regardless of age color national origin citizenship status physical or mental disability race religion creed gender sex sexual orientation gender identity and/or expression genetic information marital status status with regard to public assistance veteran status or any other characteristic protected by federal state or local addition the Company will provide reasonable accommodations for qualified individuals with disabilities.Accommodation requests can be made by emailing ___

Join the team leading the next evolution of virtual care. At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives. Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens. Teladoc Health Inc. seeks Manager, DevOps Engineering (Multiple Openings) at its facility located at 155 E 44th Street, 17th Floor, New York, NY 10017. JOB DESCRIPTION: Work with engineering development leadership to build shared cloud infrastructure and application services that meet the requirements and needs of the commercial platform and application teams. Ensure services are designed with 24/7 availability and operational maturity. Lead, manage and inspire a team of DevOps engineers. Build and maintain a highly effective release management system. Assign and monitor the work of technical personnel, ensuring that application infrastructure development and deployment is done in the best possible way, and implement quality control and review systems throughout the development and deployment processes. Conduct periodic reviews with key stakeholders. Identify, evaluate, and execute preventive measures to minimize/avoid impact to the customer's experience. Analyze and review application performance against the Technical Operations SLA. Work with cross-functional business teams to understand requirements and other performance SLAs. Collaborate with Product and Customer Support teams to plan and deploy product releases. Implement proactive monitoring, alerting, trend analysis and self-healing systems. Initiate and drive service improvement plans, collaborating with our SRE and NOC teams. Manage analysis and approval of new code through security and performance gates that the position will design and develop for feature-complete software. Be an advocate for security and performance standards in the organization. Manage operational aspect of production and development servers including developing, training in, and validating compliance with procedures and checklists related to disk space usage, monitoring solutions, deployment, conventions, access to the production and development sources, source control access and usage, performance monitoring, code modifications validation, scheduling, and more. Responsible for the team's adherence to ITIL and other audited regulatory compliance (HiTrust, FedRAMP) programs. Update management in case of critical incidents and act as a point of contact for other related communications. Work within IT and Technical Operations, business stakeholders and with vendors, to successfully identify, prioritize, and resolve issues and provide subject matter expertise for enhancements, developments, operational improvements to the website applications that Teladoc Health relies on. Ensure system technical specifications, process, procedures, runbooks, SOPs, and infrastructure requirements definitions based on conceptual design are maintained and high-quality for all technical and non-technical deliverables to a wider organizational audience and for T3-4 level support of production workloads. Ensure the development of our SaaS public and private cloud infrastructure is conducted in cost conscious ways, using "infrastructure as code" and automated environment provisioning tools and techniques. Participate in the full software and infrastructure development life cycle process including requirements analysis and design implementation. Consult with the Product Management team to prototype, refine, test, and ship products to meet business needs. Consult and participate in implementation of new customer features, products, and utilities. Identify and evaluate new technologies for implementation. Analyze user needs to determine technical requirements. Collaborate with the Operational, Development and Architectural teams to ensure operational maturity requirements (reliability, availability, scalability, observability, performance, capacity etc.) are met, and recommend operational improvements to them. Ensure internally developed and externally acquired custom off the shelf solutions are appropriately instrumented and monitored via the Teladoc monitoring standards. Perform managerial work to accomplish tasks and projects within defined timelines and in a professional manner in alignment with active standards. 100% Telecommuting. The role supervises 9 individuals. REQUIREMENTS: This position requires a bachelor's degree, or foreign equivalent in Computer Engineering, Electrical Engineering or a related field. Plus 8 years of experience as a Technology Lead, Azure Infrastructure Consultant, Microsoft Build Master, Lead Engineer, or other occupation involving Software within the Service (SaaS) industry. Additionally, the applicant must have professional experience with: (1) Version management and ticketing systems such as Git and Jira; (2) Deploying, operating and troubleshooting web application software on Unix/Linux systems; (3) Continuous integration, testing and deployment with tools such as Jenkins, Azure DevOps, Bamboo CI, etc.; (4) Working with large scale infrastructure in AWS or Azure public cloud; (5) Designing systems with high availability and disaster recovery; (6) Monitoring, metrics and visualization tools such as New Relic, Sensu, Nagios, etc.; and (7) Unix/Linux system administration and troubleshooting. Alternatively, the employer will accept a Master's degree, or foreign equivalent in Computer Engineering, Electrical Engineering or a related field. Plus 6 years of experience as a Technology Lead, Azure Infrastructure Consultant, Microsoft Build Master, Lead Engineer, or other occupation involving Software within the Service (SaaS) industry. Additionally, the applicant must have professional experience with: (1) Version management and ticketing systems such as Git and Jira; (2) Deploying, operating and troubleshooting web application software on Unix/Linux systems; (3) Continuous integration, testing and deployment with tools such as Jenkins, Azure DevOps, Bamboo CI, etc.; (4) Working with large scale infrastructure in AWS or Azure public cloud; (5) Designing systems with high availability and disaster recovery; (6) Monitoring, metrics and visualization tools such as New Relic, Sensu, Nagios, etc.; and (7) Unix/Linux system administration and troubleshooting. RATE OF PAY: $261,248.00 - $261,248.00 per year Applicants who are interested in this position should apply by emailing resume to ___. Reference Job Code: 9647745_2026 or via ___ and search for Manager, DevOps Engineering. We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details. As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified. Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Why join Teladoc Health? * Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our ___. * Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference. * Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day. * Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways. * Enjoy an inclusive ___ centered around you and your family, with tailored programs that address your unique needs. * Explore ___ with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on ___. As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind. Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available ___.

Principal Biostatistician (Biomarker Analyst -EMEA and US BASED) Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program., • We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people., • We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong. Job Responsibilities Major tasks: * Collaborates with representatives from other functions to plan, execute and analyze all biomarker aspects (including genomics and devices) of clinical studies or biomarker studies in the role of the biomarker statistician and assumes the role of project biomarker statistician under guidance of an experienced statistician * Develops the Biomarker Evaluation Plan for the study as appropriate, ensuring overall consistency within and between projects * Facilitates the overall organization and coordination of statistical activities regarding biomarker research and development activities for specific studies and projects * Conduct and design advanced data analysis for genomics and biomarker statistics, including statistical programming, and design complex analysis algorithms. * Assumes responsibility for the production and accuracy of the Biomarker Evaluation Report with respect to statistical deliverables and interpretation of the results. * Works independently at routine and complex statistical questionsand tasks. * Develops and implements standard processes for the analysis of routine (parts of) biomarker assessments. Possible Additional Tasks: • Serves as a statistical department resource, mentors biostatisticians on job skills, and oversees or develops training plans or materials for Biostatistics associates. Conducts training sessions, or otherwise trains new hires and enhance the skills of existing personnel., • Directs the activities of other biostatistics personnel on assigned projects to ensure timely completion of high quality work. Provides independent review of project work produced by other biostatisticians in the department., • Provides support across all statistical tasks during the lifecycle of the project, from protocol to CSR., • Prepares or oversees the preparation of Statistical Analysis Plans (SAPs), including development of well-presented mock-up displays for tables, listings, and figures. Collaborates with sponsor, if required., • May be responsibleas Lead Biostatistician for the statistical aspects of the protocol, generation of randomization schedule, and input to the clinical study report., • Creates or reviews programming specifications for analysis datasets, tables, listings, and figures., • Reviews SAS annotated case report forms (CRFs), database design, and other study documentation to ensure protocol criteria are met and all data is captured as required to support a high quality database and the planned analysis., • Implements company objectives, and creates alternative solutions to address business and operational challenges., • As biostatistics representative on project teams, interfaces with other departmental project team representatives, • Preparing in advance for internal meetings, contributing ideas, and demonstrating respect for opinions of others., • Conducts and participates in verification and quality control of project deliverables, ensuring that output meets the expected results and is consistentwith analysis described in the SAP and specifications., • May lead complex or multiple projects (e.g. submissions, integrated analyses), and attend regulatory agency meetings or responds to questions, as needed, to support the statistical analysis results of clinical trials on behalf of the sponsor., • Manages scheduling and time constraints across multiple projects, sets goals based on priorities from management, discusses time estimates for completion of study related activities with biostatistics management, adapts to timeline or priority changes by reorganizing daily workload, and proactively communicates to biostatistics management any difficulties with meeting these timelines., • Monitors progress on study activities against agreed upon milestones and ensures the study timelines for project deliverables are met. Identifies out of scope tasks and escalates to management., • Provides statistical programming support as needed., • May participate in Data Safety MonitoringBoard (DSMB) and/or Data Monitoring Committee (DMC) activities, including charter development and serving as an independent non-voting biostatistician. May serve as a voting statistician on DSMBs and/or DMCs., • Provides input and reviews, and subsequently follows applicable SOPs, WIs, and relevant regulatory guidelines (e.g. ICH)., • Maintains well organized, complete, and up-to-date project documentation, and verification/quality control documents and programs; ensuring inspection readiness., • Displays willingness to work with others and assists with projects and initiatives as necessary to meet the needs of the business., • Prepares in advance for internal meetings, contributes ideas, and demonstrates respect for opinions of others, • Supports business development activities by contributing to proposals, budgets, and attending sponsor bid defense meetings., • Performs other work-related duties as assigned., • Minimal travel may be required. Qualifications*Strong knowledge on Biomarker evaluation, esp. In Oncology, ctDNA data, relevant parameters and underlying biology • Graduate degree in biostatistics or related discipline., • Extensive experience in clinical trials or an equivalent combination of education and experience, demonstrated by the ability to lead multiple projects and programs of studies., • Proficiency in programming., • Ability to apply extensive knowledge of statistical design, analysis, relevant regulatory guidelines, and programming techniques utilized in clinical research and to effectively communicate statistical concepts., • Experience across all statistical tasks required to support clinical trials during the lifecycle of the project, from protocol to CSR., • Experience with regulatory submissions preferred., • Excellent written and verbal communication skills., • Ability to read, write, speak, and understand English. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Job Title : Production Coordinator Duration : 3 months Location : New York 10019 Pay : $30/hr on W2 The Production Planner position is responsible for forecasting activities associated with all channels of distribution: retail, tour and web. The Planner creates and maintains forecast models for these departments by incorporating business intelligence and forecast information gathered from each department. Forecast modeling is the key responsibility of this position. This position supports the strategic supply chain activity throughout each month with the key cross functional counterparts in Retail, Consumer Engagement teams and Finance. How you'll CREATE: Review historical sales trends, research demand drivers, prepare forecast data, develop statistical forecast models, and evaluate forecast results. Coordinate cross-functional research activities to reconcile significant variances and refine the forecast model to reflect updated sales and marketing assumptions. Evolving the data planning model program to capture demand needs of each channel in order to assist forecasting needs Provide input to the Supply Planning organization in developing inventory strategies on existing items, new products, and product phase-outs. Implementing statistical model of risk, error and growth to forecasting Recommend adjustments and achieve consensus for operational demand forecasts by facilitating a collaborative planning process with sales, tour, web and finance personnel: - Prepare relevant material to facilitate research and discussion Provide input to volume planning ( latest estimates / annual process) - Facilitate and manage demand planning/customer meetings - Achieve consensus with the business side and the demand chain Maintain demand planning system and software - Enter and modify data and ensure the correctness of product hierarchy - Monitor trends in forecast error - Identify relevant market-related data and competitive intelligence Prepare and maintain relevant reports pertaining to demand planning process A consumer demand forecast which incorporates current and accurate market information that allows the company to correctly predict customer demand and provide its supply chain with the appropriate information to plan how to meet that demand. Establishing and collaborating among cross functional partners, which will lead to effective knowledge sharing and an optimal consensus forecast to better guide the company. Refine systems and methods to continually improve forecasts so that the company can better anticipate customer needs. Execute with excellence in the area of customer replenishment and feedback to the Supply Chain group by providing the opportunities and risks regarding customer replenishment performance metrics. Bring your VIBE: Two to Three years of experience in demand planning Demonstrated proficiency in statistics, forecasting and forecasting methods with an understanding of their financial and operational impacts. Knowledge of SAP/APO, other software related to demand planning is preferred. Experienced with other software packages including Windows, and Microsoft Office. This position requires strong analytical, organizational, decision making, and presentation skills. Strong interpersonal skills are also essential to effectively interact with all teams, areas and levels of business affecting the forecast process. Good facilitation skills are required Why TalentBurst? At TalentBurst, we deliver more than talent, we deliver outcomes. We partner with you to move quickly and connect you to opportunities aligned with your skills and long term growth. Backed by precision, transparency, and results, we connect top talent with leading organizations through trusted partnerships. We offer competitive compensation and comprehensive benefits, including medical, dental, vision, and retirement options. TalentBurst is an equal opportunity employer committed to an inclusive and diverse workforce.

Location: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY Americas Alliances BMC Assistant Director The Opportunity Alliances and Ecosystems are at the heart of innovation at EY and enable us to achieve our growth ambitions - in particular, they accelerate EY clients' issue-driven modernization and digital transformation. This role is responsible for building and implementing cross-service line and cross-sector strategies to enhance eminence and drive permission in the market across a strategic portfolio of integrated solutions. In a highly agile fashion, this marketing manager will develop collaborative relationships across the Brand, Marketing and Communications (BMC) organization as well as with subject matter experts and relevant client-serving professionals. This individual will lead bespoke, integrated awareness and demand generation campaigns which build the EY brand, advance the commercial value of our alliance relationships, and ensure synergistic alignment between global and US activities across service lines, sectors, g2m teams and other BMC programs. Your Key Responsibilities • Design and execute integrated Americas Alliances Brand & Marketing strategic plans in alignment with firm priorities, Americas Alliances hypergrowth ambitions and evolving market opportunities., • Create moderate-to-complex integrated marketing programs and associated deliverables which inform and influence various internal and external constituencies about targeted initiatives and offerings., • Support the development, execution and measurement of cross-channel marketing campaigns to promote select partnership solutions. Tactics include digital paid campaigns, webcasts, video, thought leadership, content marketing, SEM, SEO, events, presentations, email campaigns, internal newsletters, among others., • Manage all aspects of video production, including onsite filming logistics, vendor and agency coordination, content development, review and approval of edits, and delivery of high?quality video assets aligned to Americas Alliances priorities., • Innovative, creative thinking to bring pragmatic, collaborative and consultative perspective to evolving business needs., • Strong leadership and problem-solving skills that integrate across sectors, service lines, regions and other BMC programs to ensure successful delivery and high impact in the market. Adept at providing direction, guidance and mentorship for team members managing key programs and deliverables. Skills and attributes for success Analytical/decision-making responsibilities: • Work with senior leaders to develop plans to effectively communicate strategic objectives and initiatives as aligned to broader firm goals and priorities., • Create, develop and manage project scope and schedule for post-campaign reporting to drive data-based insights and optimize ongoing decision making. Knowledge and skill requirements: • Broad experience across marketing disciplines including digital assets, social, demand generation, thought leadership, multimedia development, content marketing strategy, event and sponsorship activation and cross-channel program management., • Strong business acumen and executive presence. Supervision responsibilities: • Supervise staff and oversee the work and development of others, including internal and external creative agencies., • Critical to this role is an ability to collaborate and drive consensus/action with multiple constituents including subject matter experts, market-facing teams, project stakeholders, alliances counterparts, service lines, sectors, and enabling area resources. To qualify for the role, you must have • 7+ years previous B2B marketing experience successfully managing multiple complex projects. Substantive experience in professional services and/or alliance & partnership marketing a plus., • Thorough knowledge of digital content development and engagement principles across the sales funnel including comprehensive understanding of channel and tactic best practices., • Excellent written and verbal communication skills, including a proficiency in converting complex technical concepts into compelling market messages., • Bachelor's degree or equivalent experience Ideally, you'll also have • Ability to flex schedules to accommodate calls with stakeholders and team members across varying time zones. Nominal travel for in-person meetings, as needed. What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . • We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $96,300 to $180,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $115,600 to $204,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options., • Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year., • Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.? EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at .

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (FM Hosting, LLM Inference) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We're seeking a Commercial Sales Manager who's ready to put your skills to work on projects that matter - and build a career with a company that's building North America. Job Title: Commercial Sales Manager | Req ID: 15108 | HR Contact: Grace A CHIODO| Location: Franklin Rural Plains Office TN, Baton Rouge Office LA ABOUT THE ROLE \n The Commercial Manager is a strategic sales leader responsible for driving regional revenue growth, market share expansion, and profitability within Amrize's aggregate materials portfolio. This role leads a high-performing sales team, develops and executes a data-driven commercial strategy, and partners closely with Operations, Logistics, and Performance teams to optimize inventory, delivery, and customer outcomes. Success is measured by increased sales volumes, improved average selling price (ASP), and sustained EBITDA growth, while delivering exceptional customer experiences across all touchpoints. Required overnight travel 30-40%. Sales market includes: Missouri, Illinois, Indiana, Kentucky, Tennessee, Mississippi, Arkansas, Louisiana, Texas WHAT YOU'LL ACCOMPLISH \n\n • Sales Leadership Team Management - Lead, coach, and develop a regional sales team (inside sales and account managers).\n, • Set clear performance targets, conduct regular pipeline reviews, and implement accountability frameworks (KPIs, scorecards, CRM compliance).\n, • Recruit, onboard, and retain top commercial talent.\n, • Commercial Strategy & Execution - Develop and implement a regional sales strategy aligned with divisional goals for volume growth, ASP optimization, and EBITDA improvement.\n, • Identify high-value customer segments, pricing opportunities, and product mix strategies.\n, • Leverage market intelligence, competitive analysis, and demand forecasting to capitalize on growth opportunities.\n, • Cross-Functional Collaboration - Partner with Operations to align production schedules with sales commitments and inventory targets.\n, • Collaborate with Logistics to ensure on-time, cost-effective delivery and resolve capacity constraints.\n, • Work with Performance & Analytics teams to monitor KPIs, forecast accuracy, and margin performance.\n, • Customer Experience & Relationship Management - Champion a customer-first culture across the commercial team.\n, • Oversee key account management, contract negotiations, and long-term partnership development.\n, • Implement feedback loops (surveys, win/loss analysis) to continuously improve service levels and Net Promoter Score (NPS).\n, • Financial & Performance Accountability - Own regional P&L inputs: revenue, gross margin, ASP, and contribution to EBITDA.\n, • Prepare and present monthly/quarterly performance reviews, forecasts, and corrective action plan. Drive pricing discipline and margin protection across all transactions.\n, • Demonstrate a commitment to communicating, improving and adhering to health, safety and environmental policies in all work environments and areas. Promote a culture of safety and exhibit these behaviors.\n\n WHAT WE'RE LOOKING FOR Education: Bachelors/Undergraduate Degree; Master's Degree in Business preferred Field of Study Preferred: Business, Marketing, Engineering Required Work Experience: Minimum of seven (7) years of relevant experience; aggregates, ready mix, or heavy construction industry experience preferred Additional Requirements: \n\n • Experience managing $100M + book of business \n, • Strong People & Relationship Management: Demonstrated ability to build effective internal and external relationships and lead others successfully.\n, • Business Acumen & Analytical Thinking: High level of intellectual horsepower with proven ability to drive results, supported by strong problem-solving, analytical skills, and a disciplined, process-oriented approach.\n, • Technical & Systems Proficiency: Proficient computer skills, with preferred experience using SAP and Salesforce.\n, • Competitive salary\n, • Retirement Savings: Choose from 401(k) pre-tax and/or Roth after-tax savings\n, • Employee Stock Purchase Plan \n, • Medical, Dental, Disability and Life Insurance \n, • Holistic Health & Well-being programs\n, • Health Savings Accounts (HSAs) & Flexible Spending Accounts (FSAs) for health and dependent care\n, • Vision and other Voluntary benefits and discounts\n, • Paid time off & paid holidays\n, • Paid Parental Leave (maternity & paternity)\n, • Educational Assistance Program\n, • Dress for your day\n Amrize is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. \n We thank all applicants for their interest; however, only those selected for an interview will be contacted. BUILDING INCLUSIVE WORKSPACES At Amrize, there is endless opportunity for you to play your part. Whether you're in a technical, managerial, or frontline role, you can shape a career that works for you. We're seeking builders, creative thinkers and innovators. Come put your expertise to work while developing the knowledge and skills to drive your career forward. With us you'll have the chance to build your ambition! Amrize North America Inc. takes pride in our hiring processes and our commitment that all qualified applicants will receive consideration for employment without regard to age, race, color, ethnicity, religion, creed, national origin, ancestry, gender, gender identity, gender expression, sex, sexual orientation, marital status, pregnancy, parental status, genetic information, citizenship, physical or mental disability, past, current, or prospective service in the uniformed services, or any other characteristic protected by applicable federal, state or local law. Amrize North America Inc, and its respective subsidiaries are Equal Opportunity Employers, deciding all employment on the basis of qualification, merit and business need. Amrize Canada Inc. is committed to the principles of employment equity and encourages the applications from women, visible minorities, and persons with disabilities. Amrize North America Inc. participates in E-Verify and will provide the federal government with your I-9 information to confirm that you are authorized to work in the United States. In compliance with the ADA Amendments Act (ADAAA), if you have a disability and would like to request accommodation in order to apply for a position with us, please email . This email address should only be used for accommodations and not general inquiries or resume submittals. In Ontario, our organization/business is committed to fulfilling our requirements under the Accessibility for Ontarians with Disabilities Act. Under the Act, accommodations are available on request for candidates taking part in all aspects of the selection process. While we sincerely appreciate all applications, only candidates selected for an interview will be contacted. PROTECT YOURSELF FROM RECRUITMENT FRAUD The only way to apply for a position at Amrize is through our official Careers website. Be cautious of unsolicited offers or requests for information from other sources. Learn how to protect yourself from recruitment fraud here: Fraudulent Job Offers Policy

Senior Lead AI Engineer (FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead AI Engineer (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About this role Role Overview: We are seeking a visionary, strategic, and execution-oriented leader to serve as the Head of AlphaGen Investor Research Product Engineering. This role centralizes end-to-end ownership of the AlphaGen's research product estate spanning research lifecycle with an explicit focus on eliminating fragmented operational burden and establishing a single accountable organization for AlphaGen's modernization and future growth. You will drive a unified product and transformation strategy that accelerates evolution toward a cloud-native, AI-first research ecosystem. Key initiatives include retiring legacy tooling, modernizing core runtimes, and creating scalable self-service workflows that shorten research-to-production from months to hours. This transformation enables AlphaGen's Investor Research Solutions & Services to focus on high-value quantitative partnership with the Portfolio Management Group (PMG), while Investor Research product (under your leadership) provides a robust foundation, reusability, and productized research capabilities to support and scale alpha generation efforts. AlphaGen Investor Research Product is PMG's strategic research-technology engine. In this role, you will lead the organization responsible for delivering a cloud-native, AI-powered, self-service suite of products that accelerates the end-to-end lifecycle of data, signals, and models all while working closely with the Alphagen platform team in providing the operational backbone required for reliability, resiliency, security, and scale. Key Responsibilities: Strategic Leadership & Transformation Execution Strategy Development: Develop and execute a cohesive engineering strategy that aligns AlphaGen's product direction with major transformation initiatives (e.g., cloud migration, AI-first workflows, standardization, legacy system retirement). Clear Ownership: Establish clear product ownership, accountability, and governance across the entire AlphaGen investor research product estate Partnership Building & Cross-Functional Collaboration Cross-Organization Partnerships: Forge and nurture strong partnerships across stakeholders, broader Aladdin product and platform engineering organizations to drive shared roadmaps, shared outcomes, and frictionless execution of initiatives. Governance & Standards: Strengthen collaboration with internal governing bodies and central teams to ensure consistent standards, regulatory compliance, and seamless integration with broader enterprise systems. User Engagement & Adoption (Self-Service by Default) User-Centric Design: Drive user adoption strategies in partnership with product management and key stakeholders, creating a "single front door" experience for researchers to access data, tools, documentation, and support covering spectrum of research personas. Frictionless Pipeline: Deliver a frictionless research-to-production pipeline by productizing building blocks to enable data onboarding, signal development, model validation, production release, thereby enabling researchers to go from idea to production with minimal hand-offs. Product Engineering Leadership (What Researchers Use) Core Frameworks & SDKs: Own and evolve the core libraries, frameworks, and SDKs that enable consistent signal and model development (e.g., standardized APIs, templates, archetypes), ensuring researchers have a cohesive development experience. AI-Enabled Tooling: Lead development of AI-powered research tools and automation (spec-to-signal workflows, validation agents, automated quality checks) to shift scaling from people-driven processes to platform-driven capabilities. Model Lifecycle Governance: Own end-to-end model lifecycle governance tooling, from experiment to validation to production, including configuration management, metadata tracking, reproducibility, and control frameworks. Product Infrastructure Leadership (Systems the Platform Runs On) Foundational Systems Collaboration: collaborate with the Alphagen platform team to help optimize the foundational systems that power AlphaGen's products, including: Compute & Runtime: scalable GPU/CPU execution environments, define efficient scaling policies, drive performance optimizations, and manage resource allocation models for diverse research workloads. Observability & Operations: end-to-end telemetry and monitoring, enable proactive incident detection, and automate recovery mechanisms to ensure high platform uptime and resiliency. DevOps & CI/CD: Champion infrastructure-as-code, robust deployment pipelines, and standardized build/test/release workflows to accelerate delivery and improve reliability of platform updates. Reliability & Production Standards: apply resiliency patterns, and harden systems to enterprise production standards for security and stability. Operational Automation: Expand automation for operational tasks (data quality checks, pipeline health monitoring, backfills, change management) to reduce manual intervention and error risk. Legacy Modernization & Tech Stack Evolution Cloud Migration: key player in the end-to-end product modernization journey, including the migration from legacy systems to cloud-native architectures, and the timely retirement and consolidation of legacy tools. Next-Gen Platform Architecture: Drive an API-first, cloud-native platform design to improve scalability, performance, and interoperability across the ecosystem. Leverage AI/ML where it materially improves speed, quality, and control (e.g., intelligent automation, anomaly detection). Market and Business Insight / "North Star" Alignment Industry & Internal Insight: Stay attuned to market trends and internal demand signals, such as the rising need for adaptable alpha-generation platforms and AI-driven research capabilities. Define the North Star: Partner with senior leadership to define and communicate a clear business "North Star" for AlphaGen Product Engineering - reduce operational barriers, enable rapid iteration, scale platform services, and ultimately capture more alpha opportunities for the firm. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent practical experience. An advanced degree is a plus. Strategic Engineering Leadership: Proven experience leading large-scale engineering organizations through product transformation initiatives (e.g., platform modernization, cloud migration, operating model changes). Demonstrated success in setting vision and executing across complex, multi-year technology programs. Technical Depth (Strong understanding of): \n • Alpha generation workflows or closely related quantitative research processes in finance/investments.\n, • Cloud technologies and cloud-native architectural patterns (e.g., microservices, containerization, distributed computing e.g. Ray).\n, • API-first platform design and developer experience best practices.\n, • AI/ML applications for workflow automation, data validation, and operational excellence\n Leadership Attributes: This leader exemplifies operating principles that set the tone for how the team works and evolves: AI-First, Human-in-the-Loop: Embraces AI-driven solutions as a default for efficiency and scale, while keeping expert human judgment in critical loops to ensure quality and trust. Platform Over People: Prioritizes building robust platforms and automation over relying on individual heroic efforts, enabling sustainable and scalable growth. Single Front Door: Advocates for a unified user experience where researchers and stakeholders have one intuitive portal for all their needs, simplifying access and support. Standardization Everywhere: Drives consistency in tools, processes, and data across the board, reducing complexity and improving interoperability and maintainability. Self-Service as the Default: Champions self-service capabilities, empowering users to accomplish tasks independently (from data ingestion to model deployment) without bespoke engineering work. Deep Co-Ownership with PMG: Fosters a culture of partnership with the Portfolio Management Group, aligning closely on priorities, sharing roadmaps and KPIs, and co-owning outcomes to ensure the platform truly meets investment teams' needs. For New York, NY Only the salary range for this position is USD$225,000.00 - USD$285,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC's Know Your Rights poster and its supplement and the pay transparency statement. BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email [email protected]. All requests are treated in line with our privacy policy. BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems * Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description A globally recognized luxury hospitality group is seeking an Executive Chef to lead its culinary operations. This role is responsible for delivering exceptional cuisine while upholding the highest standards of quality, consistency, and presentation. This is a hands-on leadership position for a chef who thrives in a high-performance environment and is passionate about team development and operational excellence. Key Responsibilities • Lead all kitchen operations, ensuring smooth and efficient service, • Develop and execute menus aligned with brand standards, • Maintain consistency, quality, and presentation across all offerings, • Oversee food production for daily service, private events, and special functions, • Enforce food safety, sanitation, and health compliance standards, • Manage food cost, labor, purchasing, and inventory control, • Hire, train, and develop a high-performing culinary team, • Partner with front-of-house leadership to deliver exceptional guest experiencesQualifications, • 5+ years in a senior culinary leadership role, • Experience in high-volume and/or luxury hospitality environments, • Strong financial acumen with food and labor cost management, • Expertise in BOH systems, inventory, and kitchen operations, • Proven leadership, communication, and organizational skills, • Ability to perform in a fast-paced, high-pressure environmentAdditional Requirements, • Ability to stand and work for extended periods, • Capable of lifting up to 40 lbs, • Flexible schedule, including evenings, weekends, and holidays

Job Description CHIEF OBJECTIVES OF THIS POSITION The Part-Time Build Lead role requires a high level of specialized expertise and skill in maintaining established quality and accuracy standards. The Build Lead works directly with internal and external stakeholders to plan and execute builds and installs of sets, activations, vignettes, props, objects of art, and environments that enhance the quality of work for which we are known. While the pace of the work is faster than average, quality is never compromised. The focus of communication and organizational relationships is based on technical expertise, which is essential. Build Leads must effectively demonstrate critical thinking and organizational skills, and have meticulous attention to detail. The Build Lead will maintain a positive attitude that promotes teamwork within the Company and a favorable image of the Company. Reports to: Director of Creative Services Reporting Responsibility: Creative Services Project Managers & the Director of Creative Services GENERAL RESPONSIBILITIES: • Scenic Carpentry and Painting, • Receive and organize material orders, • Create and manage accurate Production Schedules tailored to each specific project, • Source materials, props, and supplies, • Work with Project Managers to ensure all builds are true to the design, installed efficiently, and meet safety requirements., • Oversee the upskilling and development of the scenic team, • You must be comfortable working within a collaborative, optimistic, and imaginative team and be able to deliver creative solutions promptly in a fast-paced environment., • Fabrication with a variety of materials, e.g., Wood, Metal, Plastic, Fabrics, etc, • Provide suggestions to improve efficiency, • Leadership of small-to-medium-sized groups, • Accountability for great results in high-pressure situations, • Excellent listener and communicator (Verbal and written), • Excellent time management and ability to prevent and/or minimize OT, • Excellent Resource management and ability to prevent and/or minimize material waste, • Able to lift up to 50 pounds, • Ability to work independently as well as part of a team, • Strong organizational skills with close attention to detail, • Proficiency with the use of all shop equipment and tools, • Ability to multitask and keep the team focused on critical objectives, • Ability to read and follow directions, blueprints/schematics, and renderings or sketches, • Ideally, have a working knowledge of:, • Google Office Suite, • Flex Rental Solutions, • Required 3+ years of experience in scenic, carpentry, or related field, • Competitive salary, • Paid Sick Time, • Employee Assistance Program, • Perks Discount Programs *Wizard Studios is an equal-opportunity employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online. Please visit for more information.

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $179,400 - $204,700 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (Gen AI Platform Services) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Location: Midtown Manhattan (Diamond District) Pay: Starting $20–$30/hr (based on experience; salary will increase after evaluations) Schedule: Full-Time, In-Office Reports To: COO (Micky Bell) & Founder (Maksud Agadjani) About TraxNYC TraxNYC is a fast-growing luxury jewelry company in New York City, specializing in custom jewelry, high-end diamonds, luxury watches, and content-driven retail. We operate in a fast-paced environment with a young, motivated team focused on long-term growth, trust, and aligned goals. We are seeking a highly organized Executive Assistant / Operations Assistant who wants to build a serious career in business operations, administration, and executive support. Position Overview We are looking for a detail-oriented, analytical, and proactive Executive Business Operations & Strategy Assistant to support senior leadership. This person will assist in operations management, executive support, administrative organization, financial tracking, sales auditing, and project coordination. This role is ideal for someone searching for an executive-level support position within a luxury brand, jewelry company, or high-growth business, who wants hands-on involvement in day-to-day operations. Key Responsibilities Executive Assistant + Administrative Support • Manage, organize, and prioritize emails for the COO and Founder, • Handle executive communication, follow-ups, and administrative scheduling, • Maintain operational documents, Google Workspace files, and task systems Operations & Business Management • Assist in business travel planning, event coordination, jewelry show registrations, • Help organize company promotions, marketing initiatives, and internal workflow systems, • Support daily operations, deadlines, and internal communication structures Financial Tracking & Accounting Support • Help audit Amex and credit card charges, • Track recurring monthly expenses, subscriptions, and vendor payments, • Support accounting with documentation reviews and discrepancy identification, • Assist with gold scrap, dust logs, and production inventory checks Sales Auditing & KPI Oversight • Work with leadership to review sales activity, Instagram DMs, and lead management, • Audit CRM data, KPIs, and reporting accuracy in Monday.com, • Manage inbound Instagram and Facebook leads for the sales department Hiring, Staffing & HR Support • Assist with screening candidates, resume evaluation, and interview coordination, • Identify strong potential hires and provide input on culture fit and work ethic What We’re Looking For • Executive Assistant experience or strong administrative/operations background, • Highly organized, detail-oriented, and reliable, • Strong communication skills and professional presence, • Ability to manage multiple tasks in a fast-paced environment, • Tech-savvy with Google Workspace, Excel, CRM tools (Monday.com), and social media, • Comfortable reviewing communication logs, sales messages, and performance data, • Problem-solver with a no-excuses mindset, • Looking for long-term career growth Compensation & Growth • Starting rate: $20–$30/hr based on experience, • Salary will increase based on performance and contribution, • Direct training from senior leadership, • Growth paths into Operations Manager, Executive Strategy, or Business Development, • PTO + Employee jewelry discounts, • Major long-term career opportunities in a luxury brand environment Learn more about the role here: Check out our social media below Instagram: TikTok: YouTube: Facebook: Twitter/X: Company DescriptionAbout Us: TraxNYC Jewelry is a leading name in the jewelry industry, renowned for our unique designs and unparalleled quality. We are committed to crafting exquisite jewelry pieces and providing exceptional customer service.About Us: TraxNYC Jewelry is a leading name in the jewelry industry, renowned for our unique designs and unparalleled quality. We are committed to crafting exquisite jewelry pieces and providing exceptional customer service.

Job Description: As Saab, Inc. is growing in East Syracuse, NY, we are seeking a Senior Quality Inspector, In-Process Inspection to: \n • Authorize assembly process completion and support the build team with in-process inspections during the build process.\n, • Validate visually and dimensionally that the product meets requirements compared to engineering drawings.\n, • Inspect for defects in surfaces, fasteners, sealant, paint, and testing.\n, • Compile technical data and reports to provide feedback on final inspection results and recommended corrective actions.\n, • Develop deviation reports and represent quality at the Material Review Board.\n, • Be responsible for non-conforming material processes and procedures.\n, • Deliver high level of workmanship in inspection processes for structural assembly and system installations.\n, • Experienced in quality management systems and become a subject matter expert in the company management system.\n, • Participate in tooling validation and application to meet product requirements in quality and efficiencies.\n, • Develop standardization for working procedures for high repeatability.\n\n Compensation Range: $28.84 - $34.57 per hour The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: \n • High school degree or equivalent required.\n, • Technical degree or certification in the field of electro/mechanical assembly, mechanics, or maintenance is preferred.\n, • 5+ years of qualified inspection experience in manufacturing.\n, • Experience with ISO/AS9100 and highly standardized processes.\n, • Strong communication skills and ability to work as a team.\n, • Proficiency interpreting engineering drawings and specifications in written and digital format required.\n, • Ability to execute the appropriate working methods and select the right tools to meet the right level of quality and efficiency.\n, • Ability to work with standardized procedures for high repeatability in a highly advanced and connected environment.\n, • Excellent communication and team working skills.\n\n Physical Requirements: \n • Must be self-mobile and able to stand for extended periods.\n, • Ability to perform physical tasks such as sitting, bending, stooping, walking, climbing, reaching during a normal workday.\n, • Ability to perform repetitive motions (such as lifting or assembly of parts) including the use of hand held power tools.\n, • Ability to lift up to fifty (50) pounds.\n, • Hearing and vision within normal ranges is important for conversations, and to receive ordinary information and directives from Production Supervisors and management as required.\n, • Ability to work extended hours when required.\n\n Citizenship Requirements: Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: \n • Medical, vision, and dental insurance for employees and dependents\n, • Generous paid time off, including 8 designated holidays\n, • 401(k) with employer contributions\n, • Tuition assistance and student loan assistance\n, • Wellness and employee assistance resources\n, • Employee stock purchase opportunities\n, • Short-term and long-term disability coverage\n\n About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.

Senior Director, Applied Research Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is a people manager role that will lead teams to drive strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected people leader, you will guide and mentor a team of applied scientists. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research * At least 5 years of people leadership experience Preferred Qualifications [choose applicable set based on focus of role]: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens * Experience with common training optimization frameworks (deep speed, nemo) * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Member of technical leadership for model deployment for a very large user behavior model * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large language models * 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * Data Preparation * Numerous Publications studying tokenization, data quality, dataset curation, or labeling * Leading contributions to one or more large open source corpus (1 Trillion + tokens) * Core contributor to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $318,100 - $363,100 for Sr Director, Applied Research Cambridge, MA: $350,000 - $399,500 for Sr Director, Applied Research McLean, VA: $350,000 - $399,500 for Sr Director, Applied Research New York, NY: $381,800 - $435,700 for Sr Director, Applied Research Richmond, VA: $318,100 - $363,100 for Sr Director, Applied Research San Francisco, CA: $381,800 - $435,700 for Sr Director, Applied Research Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).