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Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. The Principal GTM Lead, Portfolio Strategy is a high-impact, senior individual contributor role bridging Business Unit (BU) Product Management, Product Marketing, Competitive Intelligence, our global technical field organization (Sales Engineers, Principal GTM Architects, and Partner Technical Leaders), and Client Executive Sales organization. Serving as the "Chief Field Advocate and GTM Strategist" within the Portfolio Strategy team, you ensure every product launch, NDA roadmap disclosure, and solution narrative is technically sound, field-ready, aggressively differentiated, and directly actionable for sellers. Leveraging deep architectural mastery of enterprise storage markets and field sales dynamics, you translate raw technical capabilities into targeted "How-to-Sell" plays—tailoring the message to expand our installed base, win net-new customer logos, and establish dominance in emerging workloads and markets. • Field Credibility: Established reputation and gravitas within senior technical sales and architect communities., • Strategic "Street Smarts": Ability to balance high-level strategic portfolio vision with the tactical realities of competitive field sales cycles., • Collaborative Review Style: High emotional intelligence, constructive review approach, and dedication to mentoring and elevating team output. "How-to-Sell" Strategy & Targeted Sales Plays • Installed-Base Modernization: Author sales plays and technical talk tracks for existing accounts. Highlight refresh justifications, next-gen upgrades, protocol expansion (block/object/unified), and consumption models (Cloud, Keystone)., • Net-New Customer Acquisition: Craft targeted displacement plays and friction-free land strategies to unseat incumbents in competitive accounts., • New Workloads & Market Expansion: Prescribe positioning for emerging domains, including Enterprise GenAI pipelines, modern virtualization, cyber vaulting, and hybrid multicloud data management., • Sales Motion Alignment: Establish qualification criteria, discovery questions, objection handling, and architectural sizing guidance to accelerate deal velocity. Competitive Differentiation & Market Positioning • Embed Competitive Edge: Systematically integrate "Why We Win" differentiation and counter-positioning into launches, roadmaps, technical FAQs, and solution decks., • Competitor Acumen: Maintain architectural expertise across primary, secondary/backup, file/object, and cloud storage rivals (e.g., Pure Storage, Dell, HPE, VAST Data, hyperscalers)., • Deconstruct Rival Claims: Partner with Competitive Intelligence to expose competitor vulnerabilities and arm technical teams with credible counter-arguments., • Win/Loss Integration: Synthesize competitive trends to refine sales plays and feed feature gap analysis back to product teams. NDA Roadmap Strategy & Global Technical Training • Lead Enablement Sessions: Partner with BU Product Managers to curate and deliver monthly NDA roadmap enablement for global SEs, GTM Architects, and key partner technical leaders., • Design Presentation Frameworks: Build standardized, high-impact roadmap templates and visual narratives for executive customer briefings and semi-annual release cycles., • Bridge Inbound & Outbound Roadmaps: Act as the technical and editorial sanity check to ensure roadmap commitments solve field friction and capitalize on market opportunities. Technical Launch Review & Quality Assurance • Commercial & Technical Tollgate: Rigorously review launch assets (whitepapers, battlecards, decks) to ensure deep technical accuracy, relevance, and role alignment., • Peer Review & Mentorship: Provide technical critique, competitive polish, and structural feedback across Portfolio Strategy deliverables prior to distribution., • Workload-to-Outcome Translation: Convert complex block, file, object, cyber resilience, and hybrid cloud architectures into clear business outcomes. Cross-Functional Influence & Field Advocacy • Stakeholder Bridge: Build trusted alignment across BU General Managers, Product Management, PMM, and Regional SE Leadership (Americas, EMEA, APAC)., • Influence Product Evolution: Channel field and customer feedback into BU development gates, RFE prioritization, and long-term portfolio direction., • Support Strategic GTM: Drive execution across key portfolio pillars: Cloud, Keystone (STaaS), Enterprise AI, Virtualization Optimization, and Sustainability., • Typically requires a minimum of 15+ years of progressive experience in senior technical go-to-market roles, such as Senior/Principal Sales Engineer, Field CTO / Principal GTM Architect, Technical Marketing Engineer (TME), or Technical Product Manager., • Proven "How-to-Sell" Playbook Development: Demonstrated track record of creating field-adopted sales plays, customer journey maps, and technical messaging for both installed-base expansion and net-new customer acquisition., • Deep Storage & Infrastructure Mastery: Hands-on architectural knowledge of enterprise storage architectures (unified file, block, object), flash storage economics, cyber-vaulting/ransomware recovery, and hybrid cloud integration. Deep familiarity with the NetApp portfolio (ONTAP, Cloud, ASA/AFF/FAS, StorageGRID, Keystone, NetApp Console) is strongly preferred., • Proven Competitive Acumen: Demonstrated mastery of the enterprise data storage competitive landscape (both traditional on-premises and hyperscaler cloud storage offerings), with a proven track record of creating battle-tested competitive collateral and sales enablement., • Audience Resonance & Storytelling: Proven ability to command the room with senior technical leaders (CTOs, Enterprise Architects) and distill complex engineering concepts into crisp, differentiated value propositions., • Presentation & Template Craftsmanship: Outstanding skill in building executive-ready, visually compelling presentations and architectural frameworks., • Cross-Functional Influence: Demonstrated ability to influence senior cross-functional leaders (VPs, GMs, Directors) without direct authority. The target salary range for this position is 227,800 - 338,800 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

We're building the next generation of AWS enterprise contract automation, making deal creation autonomous, intelligent, and self-service. You'll define the AI-powered platform behind billions of dollars in AWS private pricing agreements, serving customers from mid-market companies to the world's largest enterprises. This is the foundation for how customers commit to AWS and how AWS delivers on those commitments accurately and at scale. As Principal Product Manager - Technical External Services, you'll define the future of our contract automation platform including AI-powered systems that can draft, simulate, negotiate, ingest, and validate contracts without manual intervention. You'll define how AWS represents commercial intent as structured data, establish governed libraries of reusable contract terms and negotiation policies, architect the guardrails that make autonomous contract generation safe, and build the self-service experiences that let customers of different size configure and commit to agreements through digital channels. Your work directly determines how quickly AWS can close enterprise deals, whether contracts produce accurate billing from day one, and whether customers can self-serve commitments without sales engagement. In this role, you'll define product strategy that spans multiple years, driving initiatives that fundamentally change how enterprise agreements flow through AWS. You'll architect complex data models for ambiguous commercial domains, design how AI agents generate and negotiate contracts within defined boundaries, and build simulation and decision-support capabilities that help deal teams model revenue impact and make better commercial decisions before committing. You'll establish the mechanisms — operating cadences, metrics, escalation paths — that make contract automation delivery repeatable across multiple organizations. You'll conduct direct research with deal teams, enterprise customers, and commercial operations teams to understand where the contracting process creates friction, translating those insights into product requirements. You'll collaborate with engineering teams across AWS's billing, agreements, and commercial operations organizations, as well as applied science teams building the AI models that power drafting and negotiation. You'll partner with sales, business development, and deal strategy teams to align contract automation with go-to-market strategy for enterprise and mid-market segments. You'll mentor other product managers and contribute to raising the product bar across the organization. This role requires deep understanding of how AI agent systems work and how to constrain them safely, combined with the cross-organizational influence to bring diverse stakeholders together around a common vision. If you're passionate about building systems that fundamentally change how enterprises transact in the cloud, and excited about defining how AI transforms the most complex commercial negotiations at scale, this role offers the chance to create AWS's contract automation platform from the ground up — serving everyone from deal negotiators managing billion-dollar relationships to mid-market customers self-serving their first private pricing agreement. Key job responsibilities • Define product strategy spanning multiple years, driving contract automation initiatives from concept through production, • Architect the machine-readable data model that represents AWS's commercial agreements as structured, actionable data, including reusable contract terms and policy rules, • Design AI-powered contract generation and negotiation experiences with appropriate guardrails and escalation mechanisms, • Define self-service contract experiences for enterprise and mid-market customers, • Build simulation and data-driven decision-support capabilities for deal teams, • Establish mechanisms that make cross-organizational delivery repeatable, • Conduct direct research with deal teams and enterprise customers to validate product direction, • Partner with sales, business development, and deal strategy teams to align with go-to-market strategy, • Mentor other product managers and contribute to raising the product bar, • Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics, • Experience owning/driving roadmap strategy and definition, • Experience with feature delivery and tradeoffs of a product, • 6+ years of technical product or program management experience, • 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience, • Experience working in a fast-paced and ambiguous environment, or experience delivering results for large, cross-functional initiatives/projects, • Experience building deep client and agency relationships, • Experience working directly with Engineers on product enhancements, • Experience in project management methodologies, business analysis, or process improvement, • Experience developing, deploying and managing AI products at scale, • Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience in computer architecture, • Experience with contract lifecycle management, legal tech, or enterprise deal automation, • Experience with billing, commerce, or financial systems at scale, • Experience working within teams delivering software products using agile methodologies, • Experience mentoring junior product managers and leading teams of product managers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, NY, New York - 197,900.00 - 267,800.00 USD annually

Job DescriptionLane Valente Industries is a Leading International construction and facility maintenance company with offices throughout the U.S. and Canada. We have a strong in-house group of field technicians that services top U.S. corporations and are supported by top notch managers in our offices. We are always looking for talented people driven to be highly productive members of the team with an emphasis on integrity and learning. CURRENT OPPORTUNITY: HVAC JR. MECHANIC JOB RESPONSIBILITIES & REQUIREMENTS As an HVAC Apprentice you will assist experienced technicians with installing, maintaining, and repairing heating, ventilation, and air conditioning systems for a company that handles service work and site maintenance for national accounts. • Assist in the servicing products and equipment on assigned projects and ensuring customer satisfaction, • Uses a variety of hand-tools, following blueprints or engineering specifications, to diagnose and repair units., • Identifies, analyzes, diagnoses, and repairs systems and products at customer’s location., • Performs preventative maintenance, site surveys, replacement, and modifications as needed or requested by customers., • Prepares for on-site installation and repairs by examining building layout, anticipating difficulties, gathering materials and coordinating on-site work, as necessary., • Inspects vehicles by checking vehicle condition and cleanliness, • Maintains vehicles by keeping records of service, scheduling, and complete repairs and maintenance service, • Maintains equipment by inspecting for signs of wear. Notifies customer and/or Operations Manager of findings., • Documents work by completing paperwork on each job and maintaining files, • Represents company by serving as a direct customer contact., • Determines parts to order for repairs and timeliness of need, • Documents work by completing paperwork on each job, including daily time, progress, and duration; and maintaining files., • Records parts, material, labor, subs and other cost data per assignment and returns unused resources, • Turns in all required paperwork and reports in a timely manner., • Keeps current on all products concerning installation, operation, maintenance, service and repair, • Read and interpret product specifications, • Provides technical support to customers, • A strong willingness to learn and a positive attitude are crucial, • Flexibility to work overtime/weekends as necessary, • Regular travel requirements with some overnight travel, as needed BENEFITS OFFERED:, • Medical Insurance, • Dental Insurance, • Paid Vacations, • 401(k) retirement plan with generous company match Powered by JazzHR m8l7Qhhtk3

Job Description About The Hair Boothe The Hair Boothe is a high-end salon opening in December 2026. Our clientele is comprised of sophisticated and discerning professionals. Our company is built on a culture where beauty is not only about service—it is about elevating the overall client experience. For more than two decades, we have been rooted in operating successful neighborhood salons, serving clients, building relationships, and understanding what it takes to run a strong, consistent business. We are creating an elevated space that is intentional, polished, and guest-focused. Here, every client interaction reflects excellence, and every stylist is supported by dedicated salon management and flow control—allowing you to focus 100% on your craft, artistry, and creating positive client connections. Role Overview We are seeking experienced Licensed Hair Stylists to join our team (strong color skills or a colorist background are a plus). In this role, you will deliver high-end hair services in a structured, professional environment alongside our Salon Manager, who handles booking flow, scheduling, and client support. Core Abilities - Expertise in any one of these areas is an added plus Cutting & Styling Execution • Deliver precise haircuts, blowouts, silk presses, updos, and custom styling., • Execute services for both long and short hair; and/or the ability to install custom weaves; and/or perform advanced silk press techniques., • Ensure every guest feels welcomed, heard, and cared for in alignment with The Hair Boothe standards and culture., • Recommend home-care follow-up routines and recommend retail products to maintain hair health and style longevity. Custom Color & Technical Execution (This requirement is for colorists only) • Provide expert color consultations, analyzing client hair integrity, history, and desired aesthetic., • Execute advanced color services, including balayage, highlights, double processes, color corrections, root touch-ups, and custom toning., • Formulate and apply high-quality hair color and back-bar treatments tailored to individual client needs. Retention & Station Care • Build and maintain strong client retention through exceptional service and rebooking strategies., • Collaborate with the Stylist Director on technique refinement and continuous professional development., • Maintain clean, polished, and organized station standards throughout the day. Qualifications • Active New York State Cosmetology License (required)., • Verifiable professional salon experience with a strong portfolio., • Current book of business is a strong plus, but not required., • Excellent communication skills, emotional maturity, punctuality, and a polished approach to self-care and client care. Compensation & Perks • Competitive pay (commensurate with experience and clientele)., • Generous product discounts, ongoing education/training, and long-term career growth opportunities. If you are a talented stylist who values structure, high standards, and an elevated salon environment, we want to hear from you. Let's build something beautiful together.

AI Engineer 5 (AI Foundations, VLM Customization)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 5 (FM Hosting, LLM Inference)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 Manager, Machine Learning Engineer\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • \n 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: \n • \n 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 \n • \n Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale \n • \n 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) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n 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 \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n 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 \n • \n Use programming languages like Python, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) \n • \n At least 6 years of experience programming with Python, Java, Golang, or C++ \n • \n At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) \n • \n At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data \n • \n At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems \n\n \n Preferred Qualifications: \n\n • \n Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field \n • \n 5+ years of experience optimizing ML algorithms, configurations, and infrastructure \n • \n 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n • \n 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans \n • \n 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) \n • \n 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models \n • \n ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents \n • \n Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 5\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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. Manager, AI Engineer (IFX)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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 \n • \n Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One \n • \n Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI \n • \n Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts \n • \n Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems \n • \n Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example \n • \n 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 \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 1 year of people leadership experience \n\n \n Preferred Qualifications: \n\n • \n 3 years of experience managing and leading an engineering team \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery \n • \n Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance \n • \n Track record mentoring engineers/scientists to productize prototypes and meet production SLOs \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 5 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 5 ((AI Foundations, LLM Core and Agentic AI)\n \n \n Overview: \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • 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\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 HLW is built on the belief that exceptional design begins with exceptional people. With a 140-year legacy as a global, award winning architecture and design firm, we collaborate with leading clients to shape meaningful, future focused environments. Our culture is collaborative, inclusive, and growth‑minded, offering hybrid work flexibility, competitive compensation, and comprehensive benefits. When you join HLW, you become part of a global community that values innovation, mentorship, and long term professional growth. For more information about our culture, we invite you to visit us as www.hlw.com Position Summary The Senior Designer is responsible for leading the design development and execution of projects within the NY Interiors Studio. This individual may have a professional background in either Architecture or Interior Design; however, the role is embedded within an interiors studio and is focused on the planning, design, coordination, and delivery of interior environments. Working under the direction of the Design Director and in close collaboration with the Studio Director, Project Manager, Technical / Delivery leadership, and project team, the Senior Designer translates client goals, project strategy, and design vision into thoughtful, compelling, and well-coordinated design solutions. Responsibilities Project Design Leadership • Lead day-to-day design efforts on assigned projects, from concept development through design documentation and construction administration., • Translate client goals, workplace strategy, brand, culture, and project requirements into clear and compelling design solutions., • Develop project-specific design concepts, narratives, planning strategies, material palettes, and presentation approaches., • Maintain the design intent throughout all phases of the project, balancing creativity with scope, schedule, budget, constructability, and client priorities., • Collaborate with the Design Director to establish and refine the overall design direction for assigned projects., • Identify opportunities to elevate the design work, improve the client experience, and strengthen the final built outcome. Design Development and Documentation • Lead the development of interior design packages, including plans, finish palettes, furniture concepts, material selections, presentation decks, and supporting design documentation., • Collaborate closely with Project Architects, Job Captains, and technical team members to further develop the design through an integrated team process, ensuring that design ideas are tested, refined, coordinated, and translated into buildable solutions., • Work with the project team to advance the design intent through documentation, recognizing that design development is a shared effort between design, technical, and project leadership rather than a one-directional handoff., • Coordinate design concepts, planning strategies, material selections, detailing, and documentation with the broader project team to ensure alignment with the approved design direction., • Review design documentation for consistency, completeness, coordination, and alignment with the evolving design intent., • Work with MatTech and project teams to coordinate materials, finishes, specifications, and design standards., • Support coordination with lighting, branding, strategy, sustainability, furniture, AV, MEP, structural, and other consultant teams as required., • Participate in construction administration activities related to design intent, including submittal reviews, RFI responses, site observations, punch list support, and finish / mock-up reviews. Client Presentations and Communication • Prepare and participate in client presentations, workshops, and design meetings., • Clearly communicate design concepts, options, recommendations, and rationale to clients and internal teams., • Assist in developing compelling visual narratives that connect design ideas to client goals and project strategy., • Support the Project Manager in documenting design decisions, client feedback, and next steps., • Review overall design intent with the Design Director at appropriate project milestones to ensure alignment with studio priorities, firmwide design goals, and HLW’s broader design standards., • Build client confidence through strong preparation, thoughtful communication, and responsiveness to feedback. Team Collaboration and Mentorship • Lead, guide, and mentor junior and intermediate designers assigned to project teams., • Delegate design tasks clearly and support team members in developing their technical, creative, and presentation skills., • Foster a collaborative project environment that encourages curiosity, accountability, open communication, and shared ownership., • Coordinate regularly with the Project Manager to align design tasks with project schedule, staffing, fee, and deliverables., • Participate in internal design reviews and incorporate feedback from the Design Director, Studio Director, Technical / Delivery leadership, and other reviewers., • Contribute to a positive studio culture through mentorship, collaboration, and active participation in studio initiatives. Design Quality and Standards • Uphold HLW’s design standards, presentation standards, and quality expectations., • Ensure that design work is thoughtful, well-coordinated, visually clear, and appropriate to the client and project goals., • Review presentation materials for clarity, consistency, graphic quality, and alignment with the approved design narrative., • Support the integration of HLW’s global resources, specialty studios, and best practices into project work., • Stay current with design trends, materials, workplace strategies, furniture systems, sustainability considerations, and industry innovations., • Contribute to the continual improvement of studio design process, tools, templates, and work product. Business Development and Marketing Support • Support proposals, interviews, pursuits, and presentations for new work as requested., • Assist in developing design narratives, precedent imagery, conceptual approaches, and visual materials for business development efforts., • Participate in project photography, award submissions, case studies, and marketing materials in collaboration with the Design Director and Marketing team., • Represent HLW professionally in client-facing settings, industry events, and professional organizations where appropriate., • Contribute to the studio’s visibility and reputation through strong project work and active engagement in the design community. Qualifications • Bachelor’s degree in Architecture or Interior Design from an accredited institution., • 10+ years of professional experience in interior design, architectural interiors, or a related design practice, with demonstrated experience working on interiors projects required., • NCIDQ certification or architectural licensure (preferred or actively pursuing)., • Strong graphic, communication, and presentation skills., • Proficiency in AutoCAD, Revit, 3D modeling/rendering software, Adobe Creative Suite, Teams, and MS Office., • Working knowledge of building codes, ADA requirements, accessibility standards, and sustainable design principles., • Experience with material selection, finish coordination, procurement support, and construction documentation., • Understanding of construction, furniture, and material costs, with the ability to support design decisions that align with project budgets., • Ability to manage multiple projects, meet deadlines, and collaborate in a team environment., • Strong problem-solving and critical-thinking skills. Preferred Qualifications • LEED accreditation or knowledge of sustainable design standards., • Experience in commercial, hospitality, or workplace design., • Familiarity with coordinating MEP systems into project designs., • Familiarity with material sourcing, bid processes, and furniture procurement. Why Join Us? We offer: • A collaborative, hybrid work environment (3 days onsite) where you will work on innovative and impactful projects., • A diverse, creative studio culture grounded in technical rigor and design excellence., • Opportunities for professional growth and development., • Competitive compensation and comprehensive benefits package. If you are a technical expert with a passion for design execution, we’d love to hear from you! • All applications should include your resume and portfolio or link to work samples HLW is committed to supporting the health and wellbeing of our team members. We offer a comprehensive benefits package that includes medical, dental, and vision coverage, life and disability insurance, paid time off, flexible spending accounts, an employee assistance plan, parental leave, financial assistance toward professional licensing and reimbursement for certification exam fees, 401(k), and commuter benefits. The expected salary range for this position is $100,000-$140,000. We will consider relevant experience, qualifications, location, and other job-related factors in determining compensation. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, sexual orientation, protected veteran status, or disability status.

Job Description The role… At Soho House a Lead Line Cook, is responsible for assisting the Sous Chef, Executive Sous and Executive Chef with inventory, supervision of staff, food preparation and executing quality and consistent dishes. The Lead Line Cook supervises staff in the absence of Sous Chef and experience to manage the different stations. A successful Lead Line Cook is passionate about food and people. As a result, provides a positive influence and atmosphere for all kitchen employees. Knowledgeable on food safety and quality control, directing the service and expediting food, as well as setting pace in the kitchen are amongst the highest priorities. Main Duties • Well-versed on all menu items and able to produce consistent and quality dishes in fast-paced and demanding environments, • Assist with inventory and purchasing to support the kitchen operating at a sustainable food cost, • Overseeing wastage, cooking temps and quality to reduce additional costs, to make all line staff aware of the cost of product and how it contributes to the profit and loss of the company, • Production and a-la-carte dish(s) execution. Including weekend feast ideas and family meal, • Supervise staff on the line and delegate tasks as needed while also ensuring proper procedure is followed when clocking in and out for shifts as well as breaks, • Support Executive Chef and Executive Sous with end of shift reports and handover sheets, • Maintain company target goals and consistent experience for Soho House Standards for service; 3-8-10, • Influencer and positive under pressure and provide a welcoming work environment that increases staff moral, • Train and educate new and existing team members on "Cook House", • Performs other duties as assigned by Supervisor or Manager. Required Skills/Qualifications • Minimum of 3 to 4 + years kitchen experience and proven leader within previous teams, • Proven ability / experience to manage all stations on the line, • Food handler's certificate, • Strong communicator, collaborator and motivator with ability to build professional relationships with all leaders and kitchen team, • Proactive, team-player who can work well independently as well as on a team, • Flexible schedule and ability to work morning, night, weekend and holiday's (as needed), • Ability to multitask and work in a demanding, fast-paced environment, • Possess a level of creativity to create recipes from scratch Physical Requirements • Must be able to seize, grasp, turn and hold objects with hands., • Must be able to work on your feet for at least 8 hours., • Fast paced movements are required to go from one part of the club to others., • Must be able to move, pull, carry, or lift at least 40 pounds., • Occasionally kneel, bend, crouch and climb as required. Why work with us... Soho House offers competitive compensation packages that feature global benefits and perks. Whether you're seeking entry-level employment or a new opportunity to expand your profession, we offer training to develop the technical and managerial skills necessary to enhance your career. • Health Care + 401K: Full time employees are eligible for full benefits; Medical, Dental & Vision as well as Retirement fund with a 2% match, • Paid Time Off: Full- Time Employees have sick day's + vacation days, • Career Development: Soho House can progress your career domestically or internationally as well as managerially or technically, • Soho Impact: Empowering the Soho House Community to make positive change, through mentoring, apprenticeship, local outreach and sustainability, • Learning & Development: An extensive range of internally and externally run courses are available for all employees., • Cookhouse & House Tonic: Celebrating our passion for food and drink. Check out our monthly calendars and get involved in trips, training's and events. Available to all., • Team Events: From fitness sessions to cinema screenings and art classes, each month we hold a series of fun events which you can sign up to., • Family Meal: Whilst on duty in our Houses & Restaurants you will be provided with a substantial meal free of charge. In accordance with New York law, the salary range for this role if filled within New York is listed below. The range for the position in other geographies may vary based on market differences. The actual compensation will be determined based on experience and other factors permitted by law. Pay Range $31.50—$31.50 USD

Job Description With over 58 stores and the largest avocational cooking program in the US, Sur La Table offers an unsurpassed selection of exclusive and premium-quality goods for the kitchen and table – and the culinary expertise and inspiration to go along with it. Whether the job entails interacting with our customers, driving digital growth, or providing vital behind-the-scenes support, we’re all here for the same reason – to roll up our sleeves and create happiness through cooking and sharing good food. Position Overview As a Culinary Lead, FT at Sur La Table, you play a key role in the success of the store by inspiring customers throughout every stage of their culinary experience by combining culinary expertise, business acumen, and teaching skills. This role supports the culinary program, drives sales, delivers a #bestincenter customer experience, a company-wide standard for excellence in service, and helps build and manage a high-performing culinary team. Key ResponsibilitiesLeadership & Team Development · Supports the recruitment, training, and ongoing development of a high-performing team to meet the culinary business needs. · Lead, coach, and inspire associates to exceed performance expectations and uphold a positive team culture. · Provide in-the-moment coaching and feedback to elevate performance and team engagement. Communicate performance issues directly to the General Manager/Store Manager. Customer Experience & Brand Representation · Represent Sur La Table’s brand and culture by creating memorable, educational experiences that inspire repeat visits and customer loyalty. · Maintains expertise by staying current on products, actively engaging in available training, and independently seeking out additional resources. · Ensures an outstanding cooking class experience in every session by following provided recipes and game plans while holding employees accountable for quality and execution. · Work with store leadership to increase foot traffic and store engagement through cooking classes and private events. · Ensure exceptional customer experience by leading a customer-focused, Guest Obsessed culture in both the kitchen and retail sales floor. Sales & Business Performance · Assist with driving sales growth by implementing strategies to enhance the culinary and retail business. · Analyze key performance metrics daily and leverage insights to optimize store performance. · Consistently meet or exceed culinary program goals by delivering exceptional classes that drive customer engagement and sales. Performance is measured by key KPIs such as second-class sign-ups, retail culinary product sales, and guest feedback through Google reviews. Operations & Compliance · Ensure compliance with food safety standards, local health codes, and sanitation regulations. · Properly handle all tools, ingredients, and kitchen equipment to maintain a safe and efficient work environment · Maintain accurate inventory levels, minimize shrink, and control supply and culinary expenses. · May handle liquor, wine, and beer in compliance with state and location alcohol regulations, company policies, including enforcing age restrictions. · Ensure store safety and cleanliness, addressing any maintenance needs promptly. · Adhere to applicable wage and hour laws. Accurately records time worked according to SLT Policy. · Models and ensures all Sur La Table policies and standard operating procedures (SOPs) are communicated effectively to associates, maintained and consistently followed. Physical Requirements · Ability to communicate verbally and work cooperatively with associates and customers. · Ability to remain standing for up to 4 hours at a time. · Ability to move about the store coaching and directing associates and/or class participants while selling to customers. · The capability to accurately perceive and differentiate variations in intensity or quality of flavors or odors, or to identify specific tastes or scents using the tongue or nose. · Ability to grab, reach, push, pull, bend, stoop, kneel, and crouch to retrieve and replenish merchandise from stockroom or sales floor. · Ability to use hands to seize, hold, grasp, turn, or otherwise to chop, whisk, slice, stir, juice and/or demonstrate other techniques. · Ability to lift and/or move merchandise weighing up to 50 lbs. · Ability to ascend/descend ladders to retrieve and/or move merchandise. · Ability to operate a computer, POS system, keyboards, merchandise scanners and mouse to accomplish work. · Workweeks are expected to be between 32 and 26 hours with the ability to have a flexible schedule, including nights, weekends, and holidays. · Regular and predictable attendance with the flexibility to adjust class assignments based on demand, ensuring 5-6 classes are taught per week. · Ability to work in a variable kitchen environment included but not limited to open flames, hot surfaces, temperature variations, various food allergens both physical and airborne. Qualifications & Experience · Must be 21 years of age or older at the time of employment. · A degree in culinary arts is preferred; however, candidates with extensive culinary experience and demonstrated technical proficiency will be considered in lieu of formal education. · 1-2 years of progressively responsible kitchen management experience. · Valid Food Manager Certification. · Excellent communication, problem-solving, and decision-making abilities. · Passion for community engagement and providing exceptional customer experiences. · Proficiency in Microsoft Office Suite and retail systems preferred. This job description represents a summary of the job, not an exhaustive or comprehensive list of all possible job responsibilities, tasks, and duties. Responsibilities, tasks, and duties of the jobholder might differ from those outlined in the job description and other duties, as assigned, may be part of the job. This job description is not an employment agreement or contract. Sur La Table has the exclusive right to alter this job description at any time without notice. The CSC family of brands provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, provincial, state or local laws. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Washington state applicants only: If you believe that this job posting does not comply with applicable Washington state law, please notify us by sending an email to WACandidates@cscshared.com. It is unlawful in Massachusetts to require or administer a lie-detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The CSC family of brands is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please contact hrbenefits@cscshared.com. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description With over 58 stores and the largest avocational cooking program in the US, Sur La Table offers an unsurpassed selection of exclusive and premium-quality goods for the kitchen and table – and the culinary expertise and inspiration to go along with it. Whether the job entails interacting with our customers, driving digital growth, or providing vital behind-the-scenes support, we’re all here for the same reason – to roll up our sleeves and create happiness through cooking and sharing good food. Position Overview As a Culinary Lead at Sur La Table, you play a key role in the success of the store by inspiring customers throughout every stage of their culinary experience by combining culinary expertise, business acumen, and teaching skills. This role supports the culinary program, drives sales, delivers a #bestincenter customer experience, a company-wide standard for excellence in service, and helps build and manage a high-performing culinary team. Key ResponsibilitiesLeadership & Team Development · Supports the recruitment, training, and ongoing development of a high-performing team to meet the culinary business needs. · Lead, coach, and inspire associates to exceed performance expectations and uphold a positive team culture. · Provide in-the-moment coaching and feedback to elevate performance and team engagement. Communicate performance issues directly to the General Manager/Store Manager. Customer Experience & Brand Representation · Represent Sur La Table’s brand and culture by creating memorable, educational experiences that inspire repeat visits and customer loyalty. · Maintains expertise by staying current on products, actively engaging in available training, and independently seeking out additional resources. · Ensures an outstanding cooking class experience in every session by following provided recipes and game plans while holding employees accountable for quality and execution. · Work with store leadership to increase foot traffic and store engagement through cooking classes and private events. · Ensure exceptional customer experience by leading a customer-focused, Guest Obsessed culture in both the kitchen and retail sales floor. Sales & Business Performance · Assist with driving sales growth by implementing strategies to enhance the culinary and retail business. · Analyze key performance metrics daily and leverage insights to optimize store performance. · Consistently meet or exceed culinary program goals by delivering exceptional classes that drive customer engagement and sales. Performance is measured by key KPIs such as second-class sign-ups, retail culinary product sales, and guest feedback through Google reviews. Operations & Compliance · Ensure compliance with food safety standards, local health codes, and sanitation regulations. · Properly handle all tools, ingredients, and kitchen equipment to maintain a safe and efficient work environment · Maintain accurate inventory levels, minimize shrink, and control supply and culinary expenses. · May handle liquor, wine, and beer in compliance with state and location alcohol regulations, company policies, including enforcing age restrictions. · Ensure store safety and cleanliness, addressing any maintenance needs promptly. · Adhere to applicable wage and hour laws. Accurately records time worked according to SLT Policy. · Models and ensures all Sur La Table policies and standard operating procedures (SOPs) are communicated effectively to associates, maintained and consistently followed. Physical Requirements · Ability to communicate verbally and work cooperatively with associates and customers. · Ability to remain standing for up to 4 hours at a time. · Ability to move about the store coaching and directing associates and/or class participants while selling to customers. · The capability to accurately perceive and differentiate variations in intensity or quality of flavors or odors, or to identify specific tastes or scents using the tongue or nose. · Ability to grab, reach, push, pull, bend, stoop, kneel, and crouch to retrieve and replenish merchandise from stockroom or sales floor. · Ability to use hands to seize, hold, grasp, turn, or otherwise to chop, whisk, slice, stir, juice and/or demonstrate other techniques. · Ability to lift and/or move merchandise weighing up to 50 lbs. · Ability to ascend/descend ladders to retrieve and/or move merchandise. · Ability to operate a computer, POS system, keyboards, merchandise scanners and mouse to accomplish work. · Workweeks are expected to be between 20 and 25 hours with the ability to have a flexible schedule, including nights, weekends, and holidays. · Regular and predictable attendance with the flexibility to adjust class assignments based on demand, ensuring 3-4 classes are taught per week. · Ability to work in a variable kitchen environment included but not limited to open flames, hot surfaces, temperature variations, various food allergens both physical and airborne. Qualifications & Experience · Must be 21 years of age or older at the time of employment. · A degree in culinary arts is preferred; however, candidates with extensive culinary experience and demonstrated technical proficiency will be considered in lieu of formal education. · 1-2 years of progressively responsible kitchen management experience. · Valid Food Manager Certification. · Excellent communication, problem-solving, and decision-making abilities. · Passion for community engagement and providing exceptional customer experiences. · Proficiency in Microsoft Office Suite and retail systems preferred. This job description represents a summary of the job, not an exhaustive or comprehensive list of all possible job responsibilities, tasks, and duties. Responsibilities, tasks, and duties of the jobholder might differ from those outlined in the job description and other duties, as assigned, may be part of the job. This job description is not an employment agreement or contract. Sur La Table has the exclusive right to alter this job description at any time without notice. The CSC family of brands provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, provincial, state or local laws. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Washington state applicants only: If you believe that this job posting does not comply with applicable Washington state law, please notify us by sending an email to WACandidates@cscshared.com. It is unlawful in Massachusetts to require or administer a lie-detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The CSC family of brands is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please contact hrbenefits@cscshared.com. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description The role… At Soho House a Lead Line Cook, is responsible for assisting the Sous Chef, Executive Sous and Executive Chef with inventory, supervision of staff, food preparation and executing quality and consistent dishes. The Lead Line Cook supervises staff in the absence of Sous Chef and experience to manage the different stations. A successful Lead Line Cook is passionate about food and people. As a result, provides a positive influence and atmosphere for all kitchen employees. Knowledgeable on food safety and quality control, directing the service and expediting food, as well as setting pace in the kitchen are amongst the highest priorities. Main Duties • Well-versed on all menu items and able to produce consistent and quality dishes in fast-paced and demanding environments, • Assist with inventory and purchasing to support the kitchen operating at a sustainable food cost, • Overseeing wastage, cooking temps and quality to reduce additional costs, to make all line staff aware of the cost of product and how it contributes to the profit and loss of the company, • Production and a-la-carte dish(s) execution. Including weekend feast ideas and family meal, • Supervise staff on the line and delegate tasks as needed while also ensuring proper procedure is followed when clocking in and out for shifts as well as breaks, • Support Executive Chef and Executive Sous with end of shift reports and handover sheets, • Maintain company target goals and consistent experience for Soho House Standards for service; 3-8-10, • Influencer and positive under pressure and provide a welcoming work environment that increases staff moral, • Train and educate new and existing team members on "Cook House", • Performs other duties as assigned by Supervisor or Manager. Required Skills/Qualifications • Minimum of 3 to 4 + years kitchen experience and proven leader within previous teams, • Proven ability / experience to manage all stations on the line, • Food handler's certificate, • Strong communicator, collaborator and motivator with ability to build professional relationships with all leaders and kitchen team, • Proactive, team-player who can work well independently as well as on a team, • Flexible schedule and ability to work morning, night, weekend and holiday's (as needed), • Ability to multitask and work in a demanding, fast-paced environment, • Possess a level of creativity to create recipes from scratch Physical Requirements • Must be able to seize, grasp, turn and hold objects with hands., • Must be able to work on your feet for at least 8 hours., • Fast paced movements are required to go from one part of the club to others., • Must be able to move, pull, carry, or lift at least 40 pounds., • Occasionally kneel, bend, crouch and climb as required. Why work with us... Soho House offers competitive compensation packages that feature global benefits and perks. Whether you're seeking entry-level employment or a new opportunity to expand your profession, we offer training to develop the technical and managerial skills necessary to enhance your career. • Health Care + 401K: Full time employees are eligible for full benefits; Medical, Dental & Vision as well as Retirement fund with a 2% match, • Paid Time Off: Full- Time Employees have sick day's + vacation days, • Career Development: Soho House can progress your career domestically or internationally as well as managerially or technically, • Soho Impact: Empowering the Soho House Community to make positive change, through mentoring, apprenticeship, local outreach and sustainability, • Learning & Development: An extensive range of internally and externally run courses are available for all employees., • Cookhouse & House Tonic: Celebrating our passion for food and drink. Check out our monthly calendars and get involved in trips, training's and events. Available to all., • Team Events: From fitness sessions to cinema screenings and art classes, each month we hold a series of fun events which you can sign up to., • Family Meal: Whilst on duty in our Houses & Restaurants you will be provided with a substantial meal free of charge. In accordance with New York law, the salary range for this role if filled within New York is listed below. The range for the position in other geographies may vary based on market differences. The actual compensation will be determined based on experience and other factors permitted by law. Pay Range $31—$31 USD

IMPORTANT NOTICE FOR INTERNAL APPLICANTS ONLY: Internal applicants MUST apply to the internal job posting through the Mattress Firm Workday system. To view the list of current internal Job Postings, type “Jobs Hub” into the Workday search bar and click on the link. If you are unable to view the job posting, don't hesitate to get in touch with your Talent Acquisition representative. Is your current job a nightmare? Make it a dream job at Mattress Firm®! Join Mattress Firm and have the job of your dreams! Helping people sleep well so they live well is at the core of what we do. The right mattress matters, and so does the right career. Our Sleep Experts® are at the heart of what we do: helping customers find their dream mattress and get better sleep. By joining our team, you’ll get to know everything sleep and help us create an exceptional in-store experience. This isn’t your typical retail job—achieve your financial dreams with uncapped commissions and a 401(k) match. Job Details: The store manager leads Mattress Firm's vision, Company Initiatives, and achieves sales performance goals by holding associates accountable for the execution of in-store merchandising in multiple store units. In addition, leads selling programs and driving related KPI results in multiple store units and supporting the omni-channel experience. This individual ensures teams always put the customer at the center and creates a compelling and engaging environment for MFRM team members. As an effective coach, the Store Manager develops associates' skills and performance, fostering a collaborative and motivated team dedicated to achieving success. New Hire Onboarding and Team Building Conduct one-on-one meetings to gain a deep understanding of your team's motivations. and personal/ professional aspirations. Develop a comprehensive team "bio book" that grows alongside your team, evolving to incorporate new insights and knowledge as it is gained. Have 30-60-90-day check-ins with new team members to discuss progress and opportunities. Workforce Management Conduct workforce management activities (store staffing schedule, reconciling punches, etc.), utilizing Operations team support and tools. Ensure company policies, including appearance and functionality standards, and state regulations are followed. Professional communication and representation of Company brand in all internal and external interactions. Follow Company procedures for product transfers to ensure proper documentation of inventory. Ability to plan strategically. Analyze company provided reporting to determine appropriate staffing levels for store location. Partner with leadership to make staffing level changes. Talent Development Provide technical and product knowledge information to associates and customers, serve as subject matter expert Analyze company provided reporting and identifying skill gaps to address through coaching. Business Operations and Acumen • Achieve or exceed individual store financial targets through effective execution and customer service at the store level., • Ensure store execution of product merchandising, marketing and POP standards., • Partner with marketing to plan, implement and monitor assigned store’s social media strategy to positively impact brand awareness and increase sales., • Ensure timely opening and closing procedures., • Manage stock inventory levels for assigned store., • Review merchandise flow for assigned store, ensuring accurate stock., • Follow all Company procedures on cash handling including acceptance of payment and deposit processes., • Adhere to all sales processing policies to ensure the proper creation and execution of customer invoicing., • Ability to stand or sit for 8+ hours at a time., • Execute company initiatives and any other activities requested by the supervisor., • Maintain awareness of competition, advertisements and services offered, develop strategies to counter., • Conduct store level inventory process and research any discrepancies. Partner with leadership and corporate partners as needed., • Lift, push or pull 50+ pounds. Benefits Included: • Excellent career growth opportunities through on-the-job training and development programs, • 401(k) with employer matching, • Mental health and life resources, • Medical, dental, prescription, and vision plans, • Get paid on-demand, • Base pay or uncapped commission, • Employee discounts on Mattress Firm sleep products and accessories Compensation: Competitive pay range of $62,000 - $75,000 per year * depending on qualifications and experience. For eligible Leadership and individual contributor roles, additional bonus opportunities may be available and awarded at the discretion of the Company. *Pay amount does not guarantee employment for any particular time. Legal authorization to work in the United States without the need for sponsorship. We require proof of eligibility to work in the United States. EOE/Vet/Disability Now don't fall asleep out there. The sooner that we receive your application, the sooner you are to the career of your dreams! Ready to apply? Mattress Firm is accepting applications until: 10/31/2026. Diverse Candidates are Encouraged to Apply. Mattress Firm is an equal employment opportunity employer and is committed to maintaining a non-discriminatory work environment and does not discriminate against any applicant or employee for employment based on race, color, religion, sex, national origin, age, disability, veteran status, marital status, sexual orientation, gender identity, or any other characteristic protected by applicable law. Mattress Firm is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. #LI-DNP

IMPORTANT NOTICE FOR INTERNAL APPLICANTS ONLY: Internal applicants MUST apply to the internal job posting through the Mattress Firm Workday system. To view the list of current internal Job Postings, type “Jobs Hub” into the Workday search bar and click on the link. If you are unable to view the job posting, don't hesitate to get in touch with your Talent Acquisition representative. Is your current job a nightmare? Make it a dream job at Mattress Firm®! Join Mattress Firm and have the job of your dreams! Helping people sleep well so they live well is at the core of what we do. The right mattress matters, and so does the right career. Our Sleep Experts® are at the heart of what we do: helping customers find their dream mattress and get better sleep. By joining our team, you’ll get to know everything sleep and help us create an exceptional in-store experience. This isn’t your typical retail job—achieve your financial dreams with uncapped commissions and a 401(k) match. Job Details: The store manager leads Mattress Firm's vision, Company Initiatives, and achieves sales performance goals by holding associates accountable for the execution of in-store merchandising in multiple store units. In addition, leads selling programs and driving related KPI results in multiple store units and supporting the omni-channel experience. This individual ensures teams always put the customer at the center and creates a compelling and engaging environment for MFRM team members. As an effective coach, the Store Manager develops associates' skills and performance, fostering a collaborative and motivated team dedicated to achieving success. New Hire Onboarding and Team Building Conduct one-on-one meetings to gain a deep understanding of your team's motivations. and personal/ professional aspirations. Develop a comprehensive team "bio book" that grows alongside your team, evolving to incorporate new insights and knowledge as it is gained. Have 30-60-90-day check-ins with new team members to discuss progress and opportunities. Workforce Management Conduct workforce management activities (store staffing schedule, reconciling punches, etc.), utilizing Operations team support and tools. Ensure company policies, including appearance and functionality standards, and state regulations are followed. Professional communication and representation of Company brand in all internal and external interactions. Follow Company procedures for product transfers to ensure proper documentation of inventory. Ability to plan strategically. Analyze company provided reporting to determine appropriate staffing levels for store location. Partner with leadership to make staffing level changes. Talent Development Provide technical and product knowledge information to associates and customers, serve as subject matter expert Analyze company provided reporting and identifying skill gaps to address through coaching. Business Operations and Acumen • Achieve or exceed individual store financial targets through effective execution and customer service at the store level., • Ensure store execution of product merchandising, marketing and POP standards., • Partner with marketing to plan, implement and monitor assigned store’s social media strategy to positively impact brand awareness and increase sales., • Ensure timely opening and closing procedures., • Manage stock inventory levels for assigned store., • Review merchandise flow for assigned store, ensuring accurate stock., • Follow all Company procedures on cash handling including acceptance of payment and deposit processes., • Adhere to all sales processing policies to ensure the proper creation and execution of customer invoicing., • Ability to stand or sit for 8+ hours at a time., • Execute company initiatives and any other activities requested by the supervisor., • Maintain awareness of competition, advertisements and services offered, develop strategies to counter., • Conduct store level inventory process and research any discrepancies. Partner with leadership and corporate partners as needed., • Lift, push or pull 50+ pounds. Benefits Included: • Excellent career growth opportunities through on-the-job training and development programs, • 401(k) with employer matching, • Mental health and life resources, • Medical, dental, prescription, and vision plans, • Get paid on-demand, • Base pay or uncapped commission, • Employee discounts on Mattress Firm sleep products and accessories Compensation: Competitive pay range of $62,000 - $75,000 per year * depending on qualifications and experience. For eligible Leadership and individual contributor roles, additional bonus opportunities may be available and awarded at the discretion of the Company. *Pay amount does not guarantee employment for any particular time. Legal authorization to work in the United States without the need for sponsorship. We require proof of eligibility to work in the United States. EOE/Vet/Disability Now don't fall asleep out there. The sooner that we receive your application, the sooner you are to the career of your dreams! Ready to apply? Mattress Firm is accepting applications until: 10/31/2026. Diverse Candidates are Encouraged to Apply. Mattress Firm is an equal employment opportunity employer and is committed to maintaining a non-discriminatory work environment and does not discriminate against any applicant or employee for employment based on race, color, religion, sex, national origin, age, disability, veteran status, marital status, sexual orientation, gender identity, or any other characteristic protected by applicable law. Mattress Firm is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. #LI-DNP

AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)\n \n \n 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. \n \n \n Team Description: \n \n \n 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. \n \n \n \n What You’ll Do: \n \n \n\n • 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.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n \n The Ideal Candidate: \n \n \n\n • 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\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • 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\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n \n \n\n • 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\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n \n Preferred Qualifications: \n \n \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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 \n • \n Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One \n • \n Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI \n • \n Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts \n • \n Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems \n • \n Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example \n • \n 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 \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 1 year of people leadership experience \n\n \n Preferred Qualifications: \n\n • \n 3 years of experience managing and leading an engineering team \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery \n • \n Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance \n • \n Track record mentoring engineers/scientists to productize prototypes and meet production SLOs \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Machine Learning Engineer 4 (Manager, IC)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • 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:\n, • 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\n, • 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)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • 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\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • 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\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n 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. \n Chicago, IL: $179,400 - $204,700 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 5 (GenAI Platform Services, Agentic Platform)\n \n \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

AI Engineer 5 (Gen AI Platform Services - Agentic Systems)\n \n \n Overview: \n 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. \n \n Team Description: \n 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. \n \n What You’ll Do: \n\n • \n 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. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n 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 \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n 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 \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n 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 \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Company Description BeSound is focused on modernizing breast care with advanced technology designed to detect what traditional mammograms can miss. The organization is committed to improving early detection and diagnostic accuracy, helping clinicians and patients make more informed decisions. BeSound works at the intersection of medical innovation and patient-centered care, striving to close gaps in current screening methods. Team members join a mission-driven environment where their work directly contributes to better health outcomes and greater peace of mind for those at risk. To learn more about BeSound, visit: www.besoundbreast.com The Role: BeSound is seeking a dynamic and strategic Senior Marketing Manager to drive the growth and engagement of our community through innovative marketing programs. Reporting to the Head of Marketing and collaborating closely with our Clinical and Product teams, you will work cross-functionally and with external partners to implement high-impact organic and paid campaigns that increase awareness, acquisition, and retention. This role is a blend of strategic planning and hands-on execution, perfect for a creative and analytical marketer passionate about making a meaningful impact in the health and wellness space. Who you are: You thrive in a fast-paced environment and are excited about taking a defining role at an early-stage startup. You’re both creative and analytical and enjoy solving complex problems. You’re comfortable with change, and ready to pivot in response to customer and client feedback and needs. You have a strong base of knowledge in acquisition and growth marketing from 4-6 years at a DTC consumer brand. You’ve scheduled and sent / posted hundreds of brand emails and social posts and know your way around Google Analytics. You’re looking to work in a high-growth, venture capital backed business with great mentors and teachers. Required skills / experiences: • Hands-on experience managing organic growth in-house for a full funnel DTC business including email campaigns, organic social, partnerships, and influencer. Prior experience with local marketing is a plus., • Proficiency in analyzing campaign data, identifying trends, and leveraging insights to refine marketing strategies and optimize ROI., • Proven experience managing CRM platforms like Iterable (or similar) to drive acquisition and retention through advanced client segmentation, in-depth retention flows, and data-driven lifecycle campaigns. Skilled at creating personalized, automated workflows that enhance customer engagement and maximize LTV., • Strong project management skills with the ability to drive both creative and technical aspects, • Familiarity with digital marketing KPIs such as CPA, CPC, CPM, LTV and ROAS, • Ability to work independently, meeting deadlines with a positive attitude and eagerness to learn, • Excellent written and verbal communication ability, • Experience in health and wellness is a plus and passion for what we do is a must. Experience with physical locations is helpful. Responsibilities: • Contribute to organic strategy in partnership with the Head of Marketing., • Own execution and project management of all organic marketing programs including email, organic social, referral, influencer, partnerships, and events, • Track paid and organic marketing campaign performance in tandem with our agency partners while synthesizing clear and concise learnings to create a compelling brand and product narrative, • Work with Head of Marketing and creative partners to ideate innovative campaigns which drive acquisition and define a new category within healthcare / wellness, • Lead project management of all creative asset production; partner with internal, agency and freelance team members to generate engaging, on brand content quickly and within budget, • Think strategically, creatively and analytically to identify new demand generation programs, • Shape the long-term marketing roadmap, identifying opportunities to define BeSound as a thought leader in wellness and healthcare innovation

The Scientific Computing and Data team at the Icahn School of Medicine at Mount Sinai partners with scientists and clinicians to accelerate scientific discovery. The AI-Ready.Mount Sinai (AIR.MS) platform contains patient data generated from the clinical care processes at the Mount Sinai Health System. AIR·MS is a cloud-based, high-performance SAP HANA data platform with electronic health record (EHR) data in an OMOP data format. It also contains metadata from and links to raw data sets in other modalities, such as radiology, genomics and pathology. Researchers can access the AIR.MS data through direct database access, AI agents, cohort query tools and the Minerva high-performance computer. AIR.MS ingests OHDSI’s Observational Medical Outcomes Partnership (OMOP)-formatted EHR data from the Mount Sinai Data Warehouse. AIR.MS is integrated with Minerva, a high-performance computer with >21 petaflops of raw computational power and the raw radiology, genomics and pathology data sets. An expert team of 20+ PhD/MD computational scientists, biomedical informaticists and computer scientists partner with researchers and clinicians to effectively and efficiently utilize these resources for translational science. The Lead Data Warehouse Engineer is a senior technical specialist responsible for leading the ongoing integration of multi-modal clinical data into the AIR.MS data warehouse. The Lead Data Warehouse Engineer will assess the state of data integration, identify opportunities for data integration based on researcher’s priorities, develop a plan to integrate metadata and data, and execute on the data integration. The incumbent will work collaboratively with other members of the AIR.MS data platform and Mount Sinai Data Warehouse teams to lead technical efforts for the integration of multi-modal data sets resulting in expanded AIR.MS functionality. The AIR.MS data warehouse is built on the SAP HANA technology stack and MSDW is built on MySQL. Responsibilities: • Design databases and pipelines that balance functionality, performance, cost, and development time; evaluate technical options with the product manager, • Design, build, test, and maintain data pipelines that extract/capture data from source systems, transform and augment those data, and integrate it into a multi-modal data repository, • Serve as a team leader; contribute to project planning, work breakdown, dependency sequencing, and release management, • Develop and promote standards, conventions, design patterns, DevOps/SDLC best practices, and operational procedures for pipelines and warehouse maintenance, • Mentor junior engineers in data warehousing, data engineering skills, and operational support, • Design, build, and maintain data management processes, including loading flat files (csv, tsv, pipe-delimited, JSON), • Lead design sessions, code walkthroughs, peer reviews, and produce technical documentation, • Tune database objects, stored procedures, and pipelines to optimize performance and minimize compute and storage costs, • Monitor database and pipeline operations; lead troubleshooting and remediation of failures; provide occasional after-hours on-call support, • Collaborate with DBAs and system administrators on backups, performance tuning, statistics/index maintenance, and patching, • Provide high-quality customer service to researchers, clinicians, and internal partners; maintain a science‑driven, customer-focused approach, • Ensure patient privacy and data security in compliance with IRB & cybersecurity policies, HIPAA, 42 CFR Part 2, NYS Article 27-F, and other regulations, • Stay current with emerging technologies to improve capabilities, efficiency, quality, or cost, • Identify improvements in procedures, technology, compliance, and data privacy/security, • Periodically assist DBAs with user provisioning, backups, restorations, capacity planning, and performance monitoring, • Perform related duties as assigned Qualifications: • Bachelor’s degree in a technical field; Master’s preferred, • 12–15 years of related experience, including 7+ years designing, developing, and maintaining relational databases, data pipelines, and dimensional/OLAP warehouses. Preferred: • Expert knowledge of data warehousing: 3NF & dimensional modeling (fact table types, SCDs), change data capture, incremental loads, data lineage, source-to-target mappings, pattern-based & parameter-driven development, • Expert-level experience with data engineering technologies: SQL, indexing, stored procedures, UDFs, sequences, dynamic SQL, data transformation tools, job orchestration tools for data processing, • Experience with DevOps/SDLC best practices; Agile (Scrum, Kanban) with JIRA and Confluence;, • Strong communication and customer service skills for working with researchers, clinicians, administrators, and IT staff., • Excellent critical thinking, problem-solving, multitasking, and collaboration skills; ability to work independently in a fast-paced environment, • Preferred experience with healthcare data (EHR, billing/claims, cost accounting), Epic Clarity/Caboodle, data models (OMOP, i2b2, PCORnet., • Experience with database administration: configuration, performance tuning, partitioning, materialized views, permissions, backups & restorations. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every indivi dual.At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. Compensation: The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

About Hey Nouri Hey Nouri is a virtual pediatric weight care clinic helping kids and families build healthier habits and improve their health. We combine clinical care with a digital product that helps kids make small changes every day around food, movement, sleep, and other healthy habits. We’re looking for a Product Manager to own a big part of that experience, with a particular focus on gamification, engagement, and habit formation. The Role We want to make healthy habits fun for kids. You’ll figure out how we use things like points, streaks, missions, challenges, rewards, levels and other game mechanics to get kids engaged and, more importantly, keep them engaged over time. We’re looking for someone who has built consumer products people use frequently and understands what makes a great engagement loop. Experience in gaming, kids’ apps, education, fitness, or other habit forming products is a big plus. You’ll work closely with design and engineering and have a lot of ownership. This is not a role where you write specs and hand them over. We want someone who has strong opinions about the product, talks to users, looks at the data, gets into the details with design and engineering, ships quickly, and keeps improving what we build. What You’ll Do • Own key parts of the Nouri app, particularly our kids experience, • Build and improve our gamification system including points, streaks, missions, rewards, challenges, progression and more, • Figure out what actually gets kids to come back and build habits over time, • Work closely with design and engineering from idea through launch, • Talk to kids and parents and use their feedback to shape the product, • Look at engagement, retention and behavioral data to understand what’s working, • Run experiments and iterate quickly, • Work with our clinical team to turn health goals into experiences that are simple and engaging for kids, • Help us build a great product culture as the team grows What We’re Looking For • 5+ years of product management experience, • Strong consumer product experience, ideally mobile, • Experience with gaming, gamification, kids’ products, or habit forming products, • A track record of building products that improved engagement or retention, • Strong product and UX instincts. You care about the details and know when something doesn’t feel right, • Comfortable working closely with engineers and getting into technical discussions, • Comfortable with data and experimentation, • Fast, practical and happy working in an early stage environment, • Someone who likes shipping rather than spending weeks debating what to ship Experience at a gaming company or a product like Duolingo, Roblox, ClassDojo, Khan Academy Kids, Greenlight, Finch, or another highly engaging consumer app would be particularly relevant. Why Hey Nouri You’ll join at an early stage and have a lot of influence over what we build and how we build it. The problem we’re trying to solve is hard: how do you get a kid to genuinely want to build healthier habits every day? If you’ve spent your career thinking about engagement, games, kids, or why people keep coming back to products they love, we’d like to talk to you.

Zurich is currently looking to hire an experienced Underwriter to join our Wholesale Financial Lines team! This position is dedicated to the wholesale broker channel and presents a great opportunity to join our Financial Institution team in one of the following office locations: New York, or Chicago! In this role, you will underwrite and perform financial analysis across financial institution risks. The position will have technical, transactional and market facing responsibilities; and it will also make contributions in the areas of product/proposition development, marketing, fulfillment, and portfolio management. Responsibilities include: • Generating, underwriting, and analyzing financial institution new and renewal policies., • Market facing and production with wholesale brokers., • Administering and monitoring underwriting rules and guidelines, insurance laws and regulations and rating manual rules., • Working within broad limits and authorities on highly complex assignments., • Managing a portfolio of accounts and developing a pipeline of business., • Collaborating and cross selling with other stakeholders and lines of business within Zurich. This role will be filled at either an Underwriting Specialist OR Executive Underwriter level. The hiring manager will determine the appropriate level based upon the selected applicant’s experience and skillset relative to the qualifications listed for this position. Underwriting Specialist Basic Qualifications: • High School Diploma or Equivalent and 3 or more years of experience in the Underwriting or Market Facing area. OR • High School Diploma or Equivalent and 6 or more years of experience in the Claims or Underwriting Support area OR • Zurich Certified Insurance Apprentice including an Associate Degree and 1 or more years of experience in the Underwriting or Market Facing area OR • Zurich Certified Insurance Apprentice including an Associate Degree and 4 or more years of experience in the Claims or Underwriting Support area AND • Knowledge of line/s of business and the legal and regulatory guidelines, • Knowledge of time restraints for quotes on new and renewal business, • Experience with Microsoft Office OR Executive Underwriter Basic Qualifications: • High School Diploma or Equivalent and 5 or more years of experience in the Underwriting or Market Facing area OR • High School Diploma or Equivalent and 10 or more years of experience in the Claims or Underwriting Support area OR • Zurich Certified Insurance Apprentice including an Associate Degree and 3 or more years of experience in the Underwriting or Market Facing area OR • Zurich Certified Insurance Apprentice including an Associate Degree and 8 or more years of experience in the Claims or Underwriting Support area Preferred Qualifications: • Bachelor’s degree, • Underwriting experience with E&O and Cyber products, • Established wholesale broker relationships in targeted region, • Service oriented and responsive, • Strong negotiation skills, • Strong verbal and written communication skills, • Microsoft Office skills Your pay at Zurich is based on your role, location, skills, and experience. We follow local laws to ensure fair compensation. You may also be eligible for bonuses and merit increases. If your expectations are above the listed range, we still encourage you to apply—your unique background matters to us. The pay range shown is a national average and may vary by location. The combined salary range for this position is $75,000.00 - $165,000.00. The proposed salary range for the Underwriting Specialist is $75,000.00 - $125,000.00, with short-term incentive bonus eligibility set at 10%. The proposed salary range for the Executive Underwriter is $100,000.00 - $165,000.00, with Global Specialty Incentive Plan bonus eligibility set at 30%. We offer competitive pay and comprehensive benefits for employees and their families. [Learn more about Total Rewards _.] Why Zurich? At Zurich, we value your ideas and experience. We offer growth, inclusion, and a supportive environment—so you can help shape the future of insurance. Zurich North America is a leader in risk management, with over 150 years of expertise and coverage across 25+ industries, including 90% of the Fortune 500®. Join us for a brighter future—for yourself and our customers. Zurich in North America does not discriminate based on race, ethnicity, color, religion, national origin, sex, gender expression, gender identity, genetic information, age, disability, protected veteran status, marital status, sexual orientation, pregnancy or other characteristics protected by applicable law. Equal Opportunity Employer disability/vets. Zurich complies with 18 U.S. Code § 1033. Please note: Zurich does not accept unsolicited CVs from agencies. Preferred vendors should use our Recruiting Agency Portal. Location(s): AM - New York, AM - Chicago Remote Working: Hybrid Schedule: Full Time Employment Sponsorship Offered: No Linkedin Recruiter Tag: #LI-KJ1 #LI-ASSOCIATE #LI-HYBRID

Engineering Manager | Building Technology / Property Technology I’m recruiting for a leading commercial real estate technology company looking for a hands-on Engineering Manager to lead a team building the technology behind the modern workplace and building experience. This is not an Engineering Manager role where you step away from the technology. You’ll lead and develop a strong engineering team while staying closely involved in architecture, system design, technical strategy, code reviews and complex engineering decisions. The product sits at the intersection of software and the physical world, powering how people interact with buildings — from access and operations to workplace experiences, integrations and tenant-facing technology. What you’ll be doing: • Lead, mentor and grow a team of talented software engineers, • Own delivery of high-impact, customer-facing product initiatives, • Stay deeply involved in architecture, system design and technical problem-solving, • Help shape the technical direction of a sophisticated building technology platform, • Partner closely with Product and Design on new product capabilities, • Solve complex integration challenges across software and physical building systems, • Build and promote AI-enabled development workflows that improve engineering speed, quality and productivity, • Help the team adopt modern AI tooling across coding, testing, debugging, documentation and development workflows, • Evaluate where AI can genuinely improve the engineering process — and where traditional approaches are still better What they’re looking for: • 2+ years of Engineering Management experience, • A strong software engineering background and desire to remain technically engaged, • Experience building scalable web applications and backend services, • Strong understanding of distributed systems and cloud infrastructure, • Experience leading complex technical projects from idea through production, • A track record of mentoring and developing engineers, • Strong product instincts and comfort operating in a highly collaborative environment, • Hands-on experience using modern AI development tools such as Claude Code, Codex, Cursor or similar, • A practical understanding of how to integrate AI into real software engineering workflows rather than simply experimenting with it The technology environment includes Go, React, TypeScript, PostgreSQL, Temporal and AWS. This is a great fit for an Engineering Manager who wants to lead people, influence architecture, stay close to the code and help define how modern AI changes the way software gets built. New York City | 4 days onsite $180K–$210K base + equity If you’re an Engineering Manager who still considers yourself an engineer at heart — and you’re already using AI to become a better one — please apply.

Product Compliance Manager Position: Product Compliance Manager Location: New York, NY Reports to: Operations / Leadership Overview A New York-based wholesale and design company is seeking a highly detail-oriented Product Compliance Manager to oversee all product compliance, certification, and testing requirements across multiple consumer product categories. This role will ensure all products meet global regulatory standards and are fully approved for distribution across key markets. The ideal candidate has deep knowledge of international compliance requirements, experience working with testing labs and overseas vendors, and the ability to manage documentation and approvals across a high volume of SKUs. Key Responsibilities Compliance & Certification Management • Oversee compliance requirements across multiple product categories including electronics, kitchen, cleaning, and beauty, • Ensure adherence to global regulations including FCC, CE, UKCA, RCM, RoHS, FDA, and other applicable standards, • Manage required certifications such as Bluetooth SIG and other category-specific approvals, • Prepare and maintain Declarations of Conformity (DoC) for all products Testing Oversight • Identify required testing protocols based on product category and market, • Oversee testing processes including:, • EMC/EMI and electrical safety testing, • RF and wireless testing, • Battery testing (UN38.3, thermal, overcharge, short circuit), • Food contact and material safety testing, • Chemical and ingredient compliance, • Stability, microbiological, and shelf-life testing, • Ensure all testing is completed accurately and on time prior to shipment Test Report & Documentation Management • Review and interpret test reports end-to-end for accuracy and completeness, • Maintain organized records of all certifications, reports, and compliance documents, • Prepare documentation for internal teams, customers, and retail partners as needed, • Ensure all compliance documentation is up to date and readily accessible Lab & Vendor Coordination • Communicate directly with third-party testing labs to define requirements and timelines, • Identify and partner with reliable and cost-effective labs, including overseas providers, • Coordinate with suppliers and factories to ensure proper testing protocols are followed, • Manage vendor compliance and ensure adherence to regulatory standards Packaging & Labeling Compliance • Ensure all product packaging includes required regulatory markings (e.g., FCC, CE, UKCA, recycling symbols), • Verify accuracy of product labels, warnings, and usage instructions, • Confirm correct format, placement, and content of all compliance-related labeling Quality Control & Inspection • Oversee or coordinate quality control inspections to ensure compliance standards are met, • Confirm test reports align with production output and final products, • Ensure compliance is maintained across all production runs and shipments Qualifications • 3–5+ years of experience in product compliance, quality assurance, or regulatory affairs, • Strong understanding of global compliance standards across consumer goods categories, • Experience working with testing labs and overseas suppliers (China preferred), • Ability to interpret technical test reports and regulatory documentation, • Exceptional attention to detail and organizational skills, • Strong communication skills with the ability to manage internal and external stakeholders, • Proficiency in Excel and documentation management systems, • Ability to manage multiple projects and deadlines in a fast-paced environment

Responsible for trading, managing, building and expanding the Americas EM & Credit SFT businesses for BSI and BBVA SA Responsibilities: -Trade the existing SFT Americas EM & Credit activity which includes: • Collateral: US Credit, Latam Sovereign, Latam Credit, • Currencies: USD, EUR, COP, CLP, MXN, etc., • Payoffs: fixed, floating, open, • Settlement: bilateral or triparty, • SFT Products - Repo, Securities Lending, TRS, Bond Forward, XCCY, Secured Loans -Grow SFT Americas EM & Credit businesses by expanding existing product capabilities and by adding new products and clients -Manage SFT positions and hedge risks including: liquidity, balance sheet, interest rates, and FX exposures -Enhance SFT desk position and risk management tools and processes -Work closely with the SFT trading and sales teams in the different geographies -Collaborate closely with middle and back office on settlement and operational issues -Work with Engineering, Legal, Business Processes, Risk, Middle and Back Office on designing and building SFT infrastructure in BSI or BBVA SA -Support UST Repo Trading team where possible Requirements • In depth SFT product knowledge of Latam Sovereign, EM Credit, and US Credit, • Knowledgeable regarding interest rate swaps, cross-currency swaps, FX spots, FX swaps, NDFs as hedge instruments, • Experience quoting all types of repos, bond forwards, total return swaps using multiple currencies, • Proven risk manager, prudent hedging and trading strategies, • Experience working with Latam Sales and Clients to manage and expand SFT activities, • Minimum 11+ years of work experience in Fixed Income markets, with at least 2 years of experience in SFT / Repo markets, • Strong communication skills and strong leadership skills, • Series 7 and 63, • Technical and analytical, • Strong communication skills, • Fluent in English, Spanish desirable, • Programming experience a plus, • Experience using Bloomberg, Brokertec, GLMX and other trading platforms., • Experience with Murex a plus All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. With respect to this position in our New York Office, the expected base salary ranges from $270,000 to $315,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus. *Employment eligibility to work with BBVA in the U.S. is required as the company will not pursue visa sponsorship for these position

Manager of Software Engineering - FDE Forward Deployed Engineer Location: New York City, Dallas, Toronto (Hybrid) The Client: Manager of Software Engineering – Forward Deployed Engineering (AI) I’m partnering with a global technology leader making a major investment in the next generation of professional AI. This is an opportunity to lead within one of its flagship AI engineering teams, building agentic systems that are transforming how some of the world’s leading legal organizations work. As Manager of Forward Deployed Engineering, you’ll lead a team working directly with customers to take complex problems from discovery and prototype through production using LLMs, RAG, agents, and multi-step agentic workflows. This is a hands-on leadership role where you’ll remain close to the technology while owning team development, technical direction, and delivery. What you'll be working on: • Lead and support multiple Forward Deployed Engineering teams delivering complex AI solutions for enterprise customers., • Architect and guide scalable, secure AI and software solutions across the full development lifecycle., • Provide technical leadership across LLM-powered agents, RAG, system architecture, integrations, and production AI systems., • Work directly with customers to understand complex requirements and translate them into technical solutions, POCs, and production deployments., • Drive best practices across LLMOps, AI evaluation, monitoring, testing, security, and observability., • Turn successful customer-specific solutions into reusable engineering patterns and scalable product capabilities., • Hire, coach, mentor, and develop engineers while building a high-performing technical team., • Partner across Product, Engineering, Sales, and Customer Success to ensure customer feedback helps shape the broader AI product roadmap. What they're looking for: • 10+ years of software or solutions engineering experience, including 2+ years in engineering management or technical leadership., • Experience leading and growing teams of Forward Deployed, Solutions, Field, or customer-facing Software Engineers., • A strong technical foundation with the ability to remain hands-on rather than operating as a purely administrative manager., • Significant customer-facing experience, including technical discovery, architecture discussions, POCs, and enterprise deployments., • Strong Python development and backend engineering experience., • Hands-on experience building and deploying LLM-powered agents and AI applications into production., • Experience with RAG, agentic systems, AI evaluation, guardrails, observability, and production AI infrastructure., • Strong AWS experience alongside CI/CD, Docker, and modern cloud deployment practices., • Experience operating at the intersection of Product, Engineering, Sales, and Customer Success., • Legal technology or legal industry experience is a plus, but not required. This is a unique opportunity for a technical engineering leader who wants to combine people leadership with hands-on AI engineering — leading a customer-facing team while helping shape how production AI is built, deployed, and scaled across a global organization.

About the Role Abacus Business Computer (abcPOS) is a New York City-based POS systems company providing end-to-end solutions, including POS systems, merchant services, and growth marketing. With over 30 years in the industry, abcPOS serves more than 6,000 customers and supports 40,000 installed devices across restaurants, retail, e-commerce, and franchise businesses. We are looking for a Product Manager with strong UX/UI design capabilities who can own the full product lifecycle while also contributing hands-on to user experience and interface design. This role requires someone who thrives in a fast-paced environment and can bridge product strategy with execution across both hardware and software platforms. Must be fluent in both Mandarin (Chinese) and English. Responsibilties: Product Ownership & Strategy • Own the end-to-end product lifecycle, including market research, planning, positioning, roadmap development, requirements definition, and product launch., • Define and evolve product strategy based on customer insights, industry trends, and business goals, • Translate product vision into detailed technical requirements for engineering teams., • Create product documentation including business cases, use cases, technical specifications, and ROI analysis. UX/UI Design & Experience • Lead the UX/UI process from research to final design across POS terminals (handheld, stationary, kiosks), mobile apps, dashboards, and customer-facing interfaces, • Design intuitive, user-centered experiences across web, mobile, and hardware platforms, • Produce wireframes, prototypes, high-fidelity mockups, and interaction specifications, • Simplify complex workflows into clean and efficient user experiences, • Contribute to and evolve the company’s design system Cross-Functional Collaboration • Work closely with engineering teams (US/China), marketing, and business teams to drive product development, • Collaborate across teams to align product goals, user needs, and technical feasibility, • Coordinate with QA, tech support, and sales to ensure successful product releases, • Lead design reviews and facilitate cross-functional discussions Market & Customer Focus • Conduct market and customer research to identify product opportunities, • Define product positioning and messaging to differentiate abcPOS, • Support go-to-market strategies, including customer engagement and sales enablement Qualifications • Bachelor’s degree in product design, engineering, or a related field, • Proven experience managing the full product development lifecycle, • Prior UX/UI design experience., • Proficiency in design tools such as Figma, Sketch, Adobe XD, or similar, • Excellent cross-functional communication and project management skills, • Ability to thrive in a fast-paced, dynamic environment, • Fluent in both Mandarin (Chinese) and English Preferred Qualifications • Experience in the POS industry, especially within hospitality, • Background in software or web development, • Experience working in startup environments, • Strong understanding of UX principles and design methodologies

lemlem is a women's resortwear, ready-to-wear and swimwear brand made responsibly in Africa, with a core mission of preserving the local art of weaving in Ethiopia and inspiring economic growth on the continent. As a B Corp company, lemlem is committed to building a strong, fair and sustainable fashion industry in Africa, taking a holistic approach to production that values and upholds artisans, craftsmanship, the environment and communities. We are looking for an NYC-based 1 day a week Fractional Technical Designer to join our team. In this role, you will be responsible for managing technical design projects both independently and collaboratively with our Design Team, Sales Team, and Production Manager. You will report directly to the Senior Design Director, meeting in person weekly to align on objectives, fit evaluations, and production timelines. This position offers a unique opportunity to work with a growing sustainable brand focused on women’s swimwear, ready-to-wear, and resort wear. Candidates should bring an open-minded approach, an interest in understanding the African factory landscape and artisan production partners, and a commitment to maintaining technical specifications and garment quality across all product categories. The Fractional Technical Designer will provide strategic guidance to the design team regarding their Design development workflows. Responsibilities include recommending methodologies to optimize operations across all development phases, encompassing tech pack initialization, fit sample assessments, and the articulation of technical feedback to international vendors, thereby maintaining rigorous garment quality, precise fit standards, and punctual delivery for all collections. Responsibilities • Assist with seasonal collection spec creation, incorporating innovative technical workflows to optimize existing processes and support scalability. Support where necessary on technical packages for fit sample development in all categories with a focus on newness complicated constructed styles, • Evaluate fit samples, pre-production and TOP samples for specs, quality and workmanship, • Participate in maintaining consistency of product fit, technical specifications and development processes., • Advise on fittings with designers and internal teams on live models and body forms., • Communicate fit revisions and comments into tech packs, • Write technical fit from fittings, providing clear technical comments and assisting illustrations/photos., • Maintain a pattern library for future reference., • Plan appropriate fit schedules with, designers and model booking agents, • Update and maintain department fit logs. Expertise in POM’s for wovens both in developing new styles & maintaining legacy styles. Qualifications • Bachelor's degree required, • At least 6+ years of Technical Design experience preferably contemporary and premium fashion brands, • Extensive experience leading fittings, evaluating garment construction/fit, setting points of measure (POMs), and determining grade rules, • Proficiency in Excel, • Proactive self-starter driven by deadlines and high urgency in a fluid, fast-paced, multi-channel environment, • Strong organizational, time management, analytical, and problem-solving skills, • Collaborative team player with excellent written, verbal, and interpersonal communication skills The salary range for this role is $35-$65 an hour depending on experience. lemlem is committed to building an equitable and inclusive work environment. We believe that diversity in all its forms – race, gender, age, nationality, culture, religious beliefs, disability, and sexual orientation – is a source of creativity that enriches our business. We are dedicated to promoting a culture of belonging for our team, our partners, and our customers.

Becoming You Labs Full-Time · New York City (In-Office) · Reports to CPO · $150,000 - $170,000 base About Becoming You Labs Becoming You Labs is a life-discovery and career-planning platform built on a rigorous methodology that helps people find purpose at the intersection of their values, aptitudes, and economically viable interests. Founded in 2022 by Dr. Suzy Welch, bestselling author, NYU Stern professor, and host of the Becoming You podcast, the method is grounded in validated psychometrics and has reached nearly a million people through assessments like The Values Bridge, certified coaching, enterprise programs, and a growing product ecosystem. We’re a team of about 30 across behavioral science, psychometrics, product design, and economics, building products that reach people at the moments that matter most. The Product Builder Role A year ago, Becoming You Labs had one major product. Today we have two full platforms and a variety of new products, with more customers and more coaches arriving every month. We’re growing rapidly as we look to bring our methodology to the world. Over that same period, the Product Manager role has meaningfully evolved. AI is collapsing the talent stack by expanding what Product Managers can do autonomously and what they enable their teams to do. It is also making code cheap, so deciding what to build has never been more important. For this reason, we’ve joined AI-native teams in redefining the PM role to match the way we work. So long, Product Manager. Hello, Product Builder. A Product Builder is a new hybrid role that combines the core skills of a product manager, the sensibility of a product designer, and the foundational, AI-assisted technical skills of a software engineer to design, build, and ship functional software. Product Builders define the right problem to solve, then protoship it: build a prototype with AI assistance that’s meant to reach production, not just a review, and use it to accelerate their team and themselves toward meaningful outcomes. You’ll be the second product person here, working alongside the CPO across everything we build: the platform, the coaching and enterprise business, and our assessment products. You’ll help shape core strategy, ground what we build in real research, own a roadmap that holds up under pressure, sequence work in step with engineering, and keep stakeholders, founder included, clear on what’s coming and why. We’re hiring this role to make sure the right things get built, in the right order, at a quality bar we’re proud of, by someone the team trusts to know the state of everything. What You'll Do Make the team faster • Own the product cycle end to end: scoping, sequencing, specs, launch readiness, and the post-launch follow-through most teams skip, • Write requirements the team actually builds from: clear enough that engineering and design don't have to guess, short enough that people read them, • Lead with context, not control. Give the team the strategic picture and the stakeholder alignment they need to make fast decisions without you in the room, • Anticipate blockers before they create delays (go-to-market, legal, privacy, data handling, enterprise commitments) and bring the hard questions to the table early, • Coordinate launches across the whole company, not just engineering: community, courses, enterprise, and the help content and messaging that have to land at the same time Make yourself faster • Use AI to compress the product development cycle. Build your own prototypes, narratives, and live experiments to surface and test assumptions before committing design or engineering time, • Do a first pass on technical complexity yourself with coding agents, so conversations with engineering start from a real estimate rather than a guess, • Ship directly what isn't worth a designer's or engineer's time: copy changes, configuration, small fixes, internal tools. The test is reversibility. The more contained and reversible a change, the more you should just do it. Anything with a large blast radius (assessment scoring, data retention, what we tell someone about themselves) brings in the right expertise, every time, • Automate the recurring work that slows product teams, so your time goes to judgment, discovery, and the decisions that matter Find the direction • Protoship! Prototypes that ship. Explore product directions with prototypes you build with AI assistance with the intent of shipping them to production, • Define the problems worth solving. A small share of what we could build drives most of the impact. Your job is to find it, make the desired outcome measurable, and reduce the problem to the smallest meaningful intervention, • Bring business context to every prioritization discussion: the problem, how big it is, what it costs to build, and what we expect back, • Pressure-test the roadmap, not just execute it. Bring a point of view on what we build, in what order, and what we don't Manage stakeholders, including the founder • Be the connective tissue between the founder, the CPO, engineering, design, data science, and go-to-market, • Translate a founder's methodology and instincts into scoped, buildable work, and push back with reasoning when something doesn't reconcile, • Absorb and navigate ambiguity rather than withholding information or shielding the team from it Stay close to customers and hold the quality bar • Deeply understand our customers including all segments across B2B, B2C, and B2B2C and build compelling strategic directions to best serve them, • Partner with Design to drive our research practice: write the research plans, recruit and interview users, run usability sessions, and turn what you hear into prioritized work, • Pitch in on the support queue while we're small, not as the owner of it, but because being near the complaints is the fastest way to learn where we can improve. We plan to hire dedicated support; until then, everyone helps, • Keep a current, evidence-based picture of where customers are getting stuck, so prioritization arguments rest on something real What This Role Is Not • It is not telling people exactly what to build. Our designers and engineers are hired for their product sense. Your job is to maximize their impact, • It is not executing someone else's roadmap. You'll help set it, • It is not project management alone. Keeping the roadmap on track is part of the job, but it's the floor, not the ceiling, • It is not leading with control. Lead with context Anti-patterns we watch for: • Performative work that doesn't change outcomes: the beautiful deck, the exhaustive doc nobody needed, • Structure for its own sake that slows things down, • Spread focus that produces limited progress in many directions What We're Looking For You might be a fit if you: • Are based in New York City or willing to relocate. This is a full-time, in-office role, • Have 5–7 years of product management experience, ideally at a consumer app or SaaS company, with at least a couple of years owning delivery for a real product area, • Are exceptional at the operating half of the job: sequencing, dependencies, realistic timelines, and keeping a lean team unblocked without becoming a bottleneck yourself, • Have basic technical chops to understand the nuances of how software ships to production, • Have built things yourself, not just managed a backlog. You can make respectable prototypes quickly, run experiments, push a small change to production, and AI tools are a core part of how you work rather than an occasional assist, • Manage stakeholders well under pressure. You can hold a line with a founder, disagree productively, and leave people more aligned than you found them, • Have run your own research and changed a roadmap because of what you heard, • Can build a credible business case and pull your own numbers rather than waiting for someone to run them for you, • Define success before the work starts, test ideas cheaply before committing a team to them, and are willing to call your own idea a miss when it is one, • Write unusually clearly. Specs, updates, research readouts, decision docs. Most of the job is writing, • Prefer simple over clever, and are comfortable making the call with incomplete information rather than waiting for certainty, • Bring low ego and a positive attitude. This is a small team where that compounds, and nothing is beneath anyone Bonus If You Have • Experience in personal development, coaching, wellness, education, or behavioral science contexts, • Worked on assessment-based or data-backed products where the underlying model matters as much as the interface, • Experience in a founder-led company, • Exposure to B2B or enterprise delivery alongside consumer work What You Won't Find Here • A product org to coordinate with. You'll be one of two product people, which means real ownership and real accountability, • Layers of approval between you and a decision, • A finished strategy handed to you with a request to write the tickets What You Will Find • A product with a differentiated point of view rooted in real psychological research, • A founder and a CPO who will engage seriously with your thinking, and expect you to engage seriously with theirs, • Work that reaches people at consequential moments in their lives, • Meaningful ownership, • A small, talented team that trusts each other and moves with intention

Manager of Jewelry Production & Development Location: New York, NY (On-site) Reports to: Founder & Creative Director The Manager of Jewelry Production & Development will oversee all aspects of jewelry design development, sourcing, and production. This role requires a highly organized, detail-oriented leader who can bridge creative vision with operational execution. You’ll work closely with the Founder & Creative Director, manufacturers, artisans, casters, and production partners to ensure that every piece meets the Susan Alexandra quality and craftsmanship standards. This is a hands-on role for someone who thrives in a fast-paced, growing fashion brand and brings expertise in jewelry design, production management, and vendor relations. As a senior team member, you will play a key role in shaping the future of the company. Key Responsibilities Production Management ● Lead and oversee the full jewelry production process—from sampling and sourcing to quality control and delivery. ● Maintain and strengthen relationships with existing vendors and artisans. ● Identify new manufacturing partners and cost-effective solutions to improve efficiency. ● Manage production schedules to ensure on-time delivery of collections, reorders, and special projects. ● Communicate proactively with internal teams and external partners, providing frequent updates on project status. Design & Development Support ● Translate creative ideas, sketches, and concepts into viable, high-quality samples. ● Advise on materials, feasibility, and cost efficiencies throughout the design process. ● Uphold consistency in quality and craftsmanship across all jewelry categories. ● Create and maintain a comprehensive “Jewelry Bible” documenting all materials, components, and production instructions. Team Leadership ● Manage, mentor and inspire the jewelry team. ● Foster collaboration across departments including design, operations, marketing and sales. ● Implement and refine systems, workflows and best practices to support growth. Budgeting & Operations ● Track production costs, pricing and margins to align with company goals. ● Oversee materials sourcing and inventory planning. ● Help create and maintain budgets and ensure cost transparency across projects. Qualifications ● 5–7+ years of experience in jewelry production or product development. ● Deep technical knowledge of jewelry materials, manufacturing methods, and finishing techniques. ● Established relationships with vendors, manufacturers, and suppliers (domestic and international). ● Exceptional organizational, communication, and project management skills. ● Proven leadership experience with the ability to mentor and grow a team. ● Strong problem-solving skills and adaptability in a fast-changing environment. ● A passion for craftsmanship, creativity, and the Susan Alexandra aesthetic. What We’re Looking For ● A proactive, solutions-driven leader who can anticipate challenges and keep production running smoothly. ● Someone who balances creative intuition with operational discipline. ● A collaborative team player who thrives in a dynamic, small-but-mighty brand environment.

Covington's Applied AI function exists to leverage advanced technology to positively impact the organization, the business, and client service delivery. The Applied AI team is responsible for designing, building, and deploying AI-enabled workflows, automation, and matter-support tools across the firm's legal practice areas. The Director of Applied AI will report to the Senior Director of AI to lead day-to-day delivery of the firm's applied AI roadmap, supervising practice-aligned Applied AI Managers across Corporate, Litigation, Regulatory, and White Collar. The Director will partner closely with the Director of Knowledge Management (KM) and Practice Technology to ensure that AI workflows and the underlying knowledge content advance in lockstep and will work directly with practice group leadership to identify, prioritize, and scale high-impact use cases that strengthen matter execution, attorney leverage, and client service delivery. ESSENTIAL DUTIES AND RESPONSIBILITIES: Primary duties and responsibilities necessary for successful job performance include: • Lead and develop the Applied AI Manager team across Corporate, Litigation, Regulatory, and White-Collar practice areas, establishing clear delivery expectations and a high-performance, learning-oriented culture., • Define and maintain firm-wide applied AI delivery standards, including reusable workflow patterns, prompt and agent design conventions, evaluation methods, and quality controls that ensure consistent, defensible AI-enabled work product across practices., • Partner with practice group leadership to identify, prioritize, and sequence AI use cases that improve matter execution, attorney leverage, and client service delivery, ensuring the highest-impact opportunities receive concentrated team focus., • Oversee the design, build, and deployment of AI-enabled tools spanning document review, drafting, diligence, discovery, regulatory monitoring, investigations support, and related legal workflows, scaling proven solutions from one practice area to others wherever feasible., • Drive firm-wide adoption of applied AI through training, demos, office hours, internal communications, and sustained enablement, partnering with practice group leadership, Learning & Development, and Communications to bring lawyers and business professionals along the learning curve., • Establish and report on adoption, performance, and value metrics for the firm's applied AI portfolio, surfacing actionable insights to the Senior Director of AI, CIO, and firm leadership., • Partner with the Director of KM and Practice Technology to ensure AI workflows are grounded in high-quality, AI-ready knowledge content, taxonomies, and practice-area data sources., • Coordinate with Information Security, Risk, and the Office of General Counsel on the responsible deployment of AI tools, including data handling, privilege protection, vendor due diligence, and AI governance., • Evaluate and manage external AI vendors and platforms, advising on build-versus-buy decisions and ensuring tools selected meet the firm's quality, security, and integration requirements., • Stay actively informed of developments in legal AI, large language models, agentic systems, and adjacent technologies, and proactively bring forward new opportunities, pilots, and pattern improvements., • Serve as a credible point of contact for partners, practice group leaders, and clients on the firm's applied AI capabilities, communicating in terms that resonate with legal and business audiences. KNOWLEDGE, SKILLS AND ABILITIES REQUIRED: • Minimum of 8 years of transferable professional experience, with a meaningful portion in applied AI, machine learning, or legal technology delivery within a law firm, professional services organization, or comparable environment, including demonstrated experience leading teams and interfacing with senior leadership., • Track record of shipping AI-enabled tools or workflows into production with measurable adoption and impact; experience with LLM-based applications, retrieval-augmented generation, evaluation methods, and modern AI tooling strongly preferred., • Working understanding of legal workflows across transactional, litigation, regulatory, and investigations matters sufficient to converse credibly with practice group leadership and translate legal requirements into technical solutions., • Demonstrated initiative and bias for action, with the willingness to own outcomes through to delivery and the judgment to know when to ship, when to iterate, and when to escalate., • Genuine intellectual curiosity, with a habit of staying ahead of developments in AI and a track record of bringing fresh ideas and approaches forward to leadership., • Solution- and objective-oriented mindset, with the discipline to anchor every project to a clear business or client-service outcome and the persistence to drive it through to delivery., • Strong listener: genuinely curious about how attorneys work and what clients need, with the ability to surface root problems before proposing solutions and the patience to push past the first ask to understand the underlying objective., • Comfortable as a teacher: able to demonstrate, train, and bring along attorneys and business professionals at all levels of technical fluency, with patience for the realities of change management in a partnership., • Demonstrated ability to build trusted relationships across practices and functions – with attorneys, business professionals, technology partners, and operations teams – and to operate as a credible cross-practice and cross-functional connector., • Ability to navigate and influence at all levels of the organization, with the confidence to advocate for AI-enabled approaches and the credibility to earn partner trust., • Strong organizational skills with the ability to manage multiple concurrent priorities, drive projects through to completion, and lead effectively and with professionalism in a fast-paced environment., • Strong written and verbal communication skills; able to communicate complex AI concepts in terms that resonate with legal and business audiences and to demonstrate a grasp of the strategic intent of a subject matter., • Bachelor's degree required; advanced degree in a relevant technical, legal, or business discipline preferred. Position requires access to equipment, software, or technology that is subject to U.S. export controls. To be granted access pursuant to US Export Control laws, candidate must be either (a) a United States citizen or national; (b) a person lawfully admitted for permanent residence of the United States (i.e., “Green Card” holder); or (c) an INS-approved refugee or asylum holder who has applied for naturalization within six months of the date the individual first became eligible; and if not yet naturalized, is still actively pursuing naturalization if 2 years have passed since the date of application to be granted access pursuant to US Export Control laws. Candidates will be required to submit appropriate documentation to determine whether access can be granted before proceeding further through the application process. Status: Exempt Reports To: Senior Director of AI Workplace Type: Hybrid Salary range of $309,000- $438,000 dependent on experience. Covington & Burling LLP is an equal opportunity employer and does not discriminate in any aspect of employment, including hiring, salary, promotion, discipline, termination, and benefits, on the basis of race, color, ethnicity, religion, national origin, gender, gender identity or expression, age, marital status, sexual orientation, family responsibility, disability (including physical handicap), or any other improper criterion.

We are seeking a Senior Technical Project Manager to drive technology-enabled initiatives across its Private Equity platform, with a focus on Credit and Insurance strategies. The ideal candidate combines private equity or finance knowledge with a strong technical and product mindset, operating as a hands-on leader in a fast-paced, high-performance environment. Responsibilities: • Lead end-to-end delivery of technology and data projects that support investment, portfolio monitoring, and risk management for Credit and Insurance businesses., • Translate strategic objectives from deal teams, underwriting, portfolio management, and operations into detailed project plans, requirements, and execution roadmaps., • Coordinate cross-functional teams (engineering, data, operations, finance, and third-party vendors) to deliver high-impact solutions on time and within scope, leveraging tools such as JIRA, Sigma, and Excel for planning, tracking, and analysis., • Design and refine workflows, dashboards, and reporting that provide actionable insights into fund performance, credit risk, insurance metrics, and operational KPIs., • Serve as a trusted partner to senior investment professionals, helping them frame problems, prioritize use cases, and evaluate technology trade-offs with clear, practical judgment., • Define and track project success metrics, ensuring stakeholder alignment, user adoption, and continuous improvement based on data and feedback., • Proactively identify process gaps and automation opportunities across investment operations, pipeline management, policy administration, and portfolio analytics, and drive pragmatic solutions from concept through implementation., • Produce clear documentation (business requirements, process flows, runbooks, SOPs) and support training and change management for users across the client., • Manage project risks, dependencies, and issues with a bias toward action, escalation when appropriate, and common-sense decision-making. Candidate Profile: • 5–10 years of experience in fintech (Private Credit a plus) in roles such as technical project manager, program manager, product manager, or senior business analyst., • Strong understanding of financial concepts relevant to private credit and insurance, and how they translate into data, systems, and processes., • Proven track record delivering complex, cross-functional projects in a high-expectation environment, ideally at a top-tier financial institution, PE firm, or leading technology organization., • Demonstrated ability to operate at both strategic and detailed levels, moving seamlessly from executive discussions to hands-on project execution., • Self-starter and go-getter who thrives in ambiguity, takes ownership, and drives outcomes without heavy supervision., • Excellent written and verbal communication skills, with the ability to present clearly to senior stakeholders and translate technical details into business language. Skills and Tools: • Proficiency with JIRA (or similar tools) for backlog management, sprint planning, project tracking, and status reporting., • Advanced Excel skills for financial analysis, portfolio modeling, and KPI tracking., • Solid understanding of data architectures, APIs, and integration patterns, and comfort collaborating closely with engineering and data teams on solution design., • Working knowledge of common development languages and frameworks, such as Python, SQL, Java, JavaScript, and .NET, with the ability to engage effectively with engineering teams on design, delivery, and implementation trade-offs., • Strong understanding of modern system architectures, including cloud-native platforms, microservices, service-oriented architecture, data pipelines, event-driven integrations, and enterprise application ecosystems., • Experience partnering with technology teams on API design, system integrations, data model reviews, technical requirements, solution architecture discussions, and end-to-end delivery across upstream and downstream platforms., • Familiarity with software delivery practices, including Agile delivery, SDLC governance, DevOps concepts, release planning, testing coordination, environment management, and production implementation readiness. Preferred Qualifications: • Experience with Sigma, Power BI, or similar business intelligence platforms to design and manage dashboards and self-service analytics for investment and insurance stakeholders., • Familiarity with credit products, including private credit or structured credit, and/or insurance business models, such as life, property and casualty, or specialty lines, as well as related underwriting, pricing, and portfolio management metrics., • Experience with platforms commonly used in private equity and financial services, including CRM systems, portfolio monitoring tools, data warehouses, or low-code platforms. Personal Attributes: • Hands-on, resourceful, and detail-oriented, with a strong sense of ownership over delivering outcomes rather than just managing processes., • Curious, analytical, and intellectually rigorous, while remaining grounded in practical, business-oriented trade-offs., • Comfortable engaging with senior leaders, managing up, and navigating competing priorities with maturity and discretion.

Are you an experienced commercial underwriter who enjoys the technical side of the business but ready to step away from constant broker meetings, production goals, and account-by-account responsibilities? King’s Insurance Staffing is partnering with a well-established national P&C insurance carrier seeking a senior underwriting professional for a highly visible corporate role. This position will use broad commercial underwriting expertise to help strengthen underwriting quality, governance, and risk discipline across multiple business divisions. This is an excellent opportunity for someone who has built a career in production underwriting and wants to influence underwriting strategy at the enterprise level. It could also be a natural fit for a home-office underwriting professional with experience involving underwriting authorities, guidelines, quality reviews, audit, product oversight, or governance. Candidates currently working at the Senior Manager, Director, AVP, Underwriting Officer, or senior individual-contributor level are encouraged to apply. Professional designations such as CPCU, AU, or ARM are beneficial but not mandatory. What you’ll influence: • Corporate underwriting quality and review standards, • Underwriting guidelines, authorities, referrals, and exceptions, • Consistency of underwriting practices across multiple divisions, • Portfolio-level risk trends and areas of emerging exposure, • Underwriting reporting, controls, and operational efficiencies, • Collaboration between underwriting leadership, business executives, and enterprise risk teams What we’re looking for: • Approximately 10+ years of commercial P&C underwriting experience, • Strong technical knowledge of commercial underwriting principles and risk selection, • Experience in production, home-office, corporate, product, or portfolio underwriting, • Exposure to underwriting audit, quality assurance, governance, or authority management is highly attractive but not required, • Ability to evaluate underwriting decisions and communicate credibly with senior leaders, • Interest in transitioning from an individual underwriting assignment into a broader corporate role, • Commercial P&C experience is required; Accident & Health backgrounds will not align Salary/Benefits Information: • Compensation: Competitive base salary between $175k - $200k, with potential flexibility for an exceptionally qualified candidate, plus annual bonus and comprehensive benefits, • Flexible schedule with remote work capability, • Extremely competitive Medical, Dental, Vision, and Life insurance plans, • Employer-matching 401(k), • Generous PTO plan, • Performance-based annual incentive opportunity #CommercialInsurance #Underwriting #CorporateUnderwriting #InsuranceCareers #EnterpriseRisk #UnderwritingLeadership #PropertyCasualty #NewJerseyJobs

Job Title: Sales & Client Development Manager – New York Flagship Boutique Location: New York Terms: FT Permanent – Onsite at the Mikimoto New York Flagship Boutique SUMMARY: The Sales & Client Development Manager leads the Sales Ambassadors to meet and exceed all sales goals and KPI’s. He / she is responsible for promoting brand engagement to customers, in order to guarantee the quantitative and qualitative goals assigned. He / she assists the Boutique Director in merchandise management and visual merchandising display. He/she represents the Company and acts as representative of the Boutique Director and thus fulfils all the tasks given by Corporate and the Boutique Director. ESSENTIAL DUTIES AND RESPONSIBILITIES I. A BUSINESS DEVELOPER Assist the Boutique Director in overseeing floor coverage, driving sales, visual merchandising, display, customer service, and operational functions within the Boutique • Analyze results; verifying daily, weekly, monthly activities and setting up monthly, quarterly and annual assessments, • Develop the HJ category by cultivating High Potential (HiPo) and determine a personalized strategy for each, • Increase online-to-retail conversion while promoting an elevated and seamless client journey, • Develop on-site client activations and events, aligned with the boutique retail plan and overall Corporate strategy, • Support the Boutique Director in reporting all the relevant information to Corporate partners and ensure to share the information with the staff, • Ensure the correct rotation of merchandise, • Know and monitor the business environment including local competition and communicate relevant information to the Staff, • Provide high quality feedback and requested reports to the Boutique Director Support the Boutique Director and lead the Sales Ambassadors in achieving targeted quantitative and qualitative goals • Ensure the recruitment, development, and retainment of customers (from high qualitative data collection to “one to one” relationships), • Assure the utilization of the Mikimoto Clienteling App by all Sales Ambassadors to consistently create new clients and develop relationships, through targeted and personalized outreach, • Implement action plans defined with the SVP, Retail and the Boutique Director, and guarantee follow up at boutique level, • Update the Sales Ambassadors on the KPIs and give them support to reach them II. A TALENT LEADER AND DEVELOPER Attract, develop and retain talents • Support the Boutique Director in creating a cohesive team, whose activities are always motivated and competent, • Achieve and authorize planning, organize and plan the activities providing available resources to manage the expected workload, • Motivate and challenge the team on a daily basis, • Assist the Boutique Director with the training and development of the sales team on the operational side of the business by following up on clear goals and providing timely feed back, • Be able to manage the Sales Ambassadors and support them in their activities, • Ensure professional growth and training of the staff with a coaching approach and share the development plans with the Boutique Director and Operations Manager Create and maintain a positive work environment • Partner with the Boutique Director on how to handle all employee issues, • Support the Boutique Director in setting up morning briefings, one-to-one meetings, monthly touch base, etc., • Reflect the corporate image in terms of standing and ensure that the staff is also aligned III. A BRAND PROMOTER (CLIENTS) Build a network of people who have an impact on local and international luxury business in order to promote customer loyalty, especially with Top Clients and VIPs • Guarantee excellent customer experience including welcome and service standards, • Supervise sales to ensure customer satisfaction, engagement and that the qualitative standards required by our brand are maintained, • Assure the measurement of ‘in-boutique’ actions on all channels (phone, mail, etc.), • Manage all delicate situations regarding customer complaints and the overall sales process are dealt with accordingly Promote the culture of the brand internally and externally • Oversee the clienteling approach following the guidelines provided by Corporate, • Demonstrate a social and networking presence and proactivity for prospecting purposes Ensure boutique atmosphere upholds brand image IV. A PROCESS MANAGER Ensure that all the processes are in compliance with legal, safety, internal requirements, sustainability, HR and stock organization • Ensure the correct development of the standards in the boutique stock / inventory, etc., • Ensure that the image of the boutique is in line with Corporate standards and that the staff is aware of this standard., • Support the Boutique Director in managing inventory activities, • Supervise stock and report to the Boutique Director any discrepancies, • Take all the necessary measures in order to guarantee the safety of the merchandise and valuable materials in the store, • Challenge current processes to ensure efficiency and effectiveness QUALIFICATIONS The ideal candidate is an outgoing problem-solver with strong systems, technical and communication abilities. He or she possesses excellent organizational skills, is detail-oriented, and displays a commitment to providing excellent customer service. • At least 3 years of experience in a managerial position in luxury retail or hospitality, • Significant experience in the sale of luxury goods or retail, • Proven track record in sales generation, managing the sales achievements of sales goals, • Strong leadership skills and successful managerial experience of a team (the ability to set goals, delegate work and follow up results), • Creativity in developing new ways to motivate and develop a team, • Commitment to take part in an innovative project, • Strong understanding of client services and experience needs and priorities (internal and external). High sensitivity to customers experience and loyalty, • Exceptional customer service and interpersonal skills, • Entrepreneurial spirit to develop their own business and build long lasting client relationships., • Excellent analytical, organizational, and interpersonal communication skills, • Adaptability, openness, listening abilities, curiosity, • High availability, responsiveness, • Product and Luxury Jewelry/Fashion sensitivity, • Outstanding computer skills (MS Office) with ability to learn new software applications quickly, • Team player with initiative, ability to prioritize, multi-task and attention to detail., • Must be available to work retail hours (including weekends, evenings, Holidays), client events etc., as needed., • Must have authorization to work in the United States BENEFITS • Competitive Compensation Package including Salary, Company-paid Medical, Dental, Vision Benefits, Life Insurance, Short-term and Long-term Disability Insurance, • Offers 401(K) Savings Plan with Employer Match, • Paid Time Off, Paid Holidays, • Partial Annual Gym Reimbursement, • Mikimoto Employee Discount, • Eligibility may vary based on level and tenure, subject to change

Job Title: Production Manager, Apparel Location: Onsite (New York, NY) FLSA: Exempt Status: Full-Time Reports To: Sr. Director of Production and Sourcing Pay Range: $95,000–$120,000 Company Overview Majesty Brands is a global leader in the socks, sleepwear, and intimates’ categories. With distribution in over 70 countries and a dynamic, seasoned staff, Majesty is a go-to resource for retailers and brands alike. Majesty has dedicated teams strategically positioned to support each area of retail. Our approach is simple: we want to serve each customer’s unique needs. Sometimes it is about value, and sometimes it is about fashion. In all cases, we are here to ensure the end user is completely satisfied with their purchase. Position Overview Majesty Brands is seeking a Production Manager, Apparel to lead the execution of apparel production following the completion of product development. This position owns the production process from the Product Development handoff and purchase order placement through final shipment and delivery. The Production Manager is responsible for production planning, factory and vendor communication, production WIP and time-and-action management, material readiness, pre-production approvals, testing, inspections, quality execution, shipment tracking, and delivery performance. This role ensures that all orders are produced according to approved specifications, costs, quality standards, customer requirements, and delivery commitments. The Production Manager will manage and develop the Production Associate, Apparel, and work closely with Product Development, Design, Sales, Quality Assurance, Compliance, Sourcing, and Logistics. This is a production-execution role. It does not own product concepts, assortment strategy, creative development, or the Product Development process. Instead, it ensures that approved products transition successfully into bulk production and are delivered accurately, on time, and according to customer requirements. Key Responsibilities • Ensure a smooth Product Development-to-Production handoff, confirming that all costing, specifications, samples, approvals, packaging, labeling, testing, and customer requirements are complete and production-ready before bulk production begins., • Own production from purchase order placement through final shipment and delivery, ensuring all orders meet required timing, quality, cost, and customer requirements., • Manage, train, and oversee the day-to-day responsibilities of the Production Associate, Apparel, establishing clear priorities and ensuring accurate and timely execution., • Work directly with overseas factories and vendors on production schedules, material readiness, capacity, pre-production approvals, testing, inspections, quality requirements, corrective actions, and shipment status., • Maintain and manage Production WIP reports and time-and-action calendars with the team, closely tracking critical milestones and proactively identifying delays and risks., • Confirm that fabrics, trims, components, packaging, and other production materials are ordered, approved, and available according to the required production timeline., • Manage pre-production and top-of-production approvals, including production samples, packaging, labeling, testing, and other customer-specific requirements., • Proactively identify production, quality, testing, or delivery issues and drive factories and vendors to provide immediate corrective-action plans., • Maintain clear and proactive communication with Design and Sales throughout the production cycle, providing timely updates on status, changes, risks, and issues that may affect customer commitments., • Partner closely with Product Development, Quality Assurance, Compliance, Sourcing, and Logistics to ensure approvals, priorities, shipment plans, and delivery requirements are aligned., • Partner with Technical Design and Quality Assurance to resolve production-related fit, construction, measurement, workmanship, and specification issues., • Review production tech packs and approved product specifications to ensure factories are working from complete, accurate, and current information., • Confirm that purchase order details, costs, quantities, size breakdowns, delivery dates, shipping requirements, and production records are accurate and aligned across internal systems and factory documentation., • Monitor bulk production quality and ensure all required product testing, inspections, and approvals are completed according to company and customer standards., • Coordinate with Quality Assurance and factories on failed tests, inspection findings, quality concerns, and corrective-action requirements., • Resolve production, quality, testing, packaging, shipment, and delivery issues with factories and internal business partners., • Monitor factory performance against production, quality, compliance, communication, and delivery expectations., • Provide clear and accurate production status and exception reporting, escalating critical issues before they affect delivery or customer commitments., • Lead weekly production WIP meetings and provide leadership with accurate updates regarding production status, outstanding approvals, delivery risks, and corrective actions., • Support factory allocation and placement decisions based on capability, capacity, quality performance, cost, lead time, and delivery requirements., • Maintain accurate production records and ensure all key information is organized, current, and easily accessible to the team., • Ensure factories comply with approved product specifications, packaging instructions, testing protocols, shipping requirements, and customer standards., • Continuously improve production processes to create better visibility, stronger accountability, more effective communication, and more efficient execution. Experience & Skills • Five to seven years of apparel production experience, preferably including intimates, sleepwear, loungewear, or related apparel categories., • Demonstrated experience managing bulk apparel production from purchase order placement through final shipment and delivery., • Strong experience working directly with overseas factories, vendors, testing laboratories, and inspection providers., • Experience managing production WIP reports, time-and-action calendars, production schedules, approvals, testing, inspections, and shipment tracking., • Strong understanding of garment construction, materials, packaging, production processes, quality standards, and apparel manufacturing., • Working knowledge of apparel costing and the ability to identify production-related cost risks, discrepancies, and opportunities., • Experience managing and developing at least one direct report., • Ability to evaluate production readiness and identify missing approvals, specifications, materials, testing, packaging, or customer requirements before bulk production begins., • Proven ability to identify production risks, resolve issues, obtain corrective-action plans, and escalate critical concerns appropriately., • Strong ability to manage multiple production calendars, priorities, factories, and customer delivery requirements simultaneously., • Exceptional organization, attention to detail, communication, problem-solving, and follow-through., • Ability to communicate production status and risks clearly to internal leadership and cross-functional business partners., • Proficiency in Microsoft Excel and Google Workspace., • Familiarity with Adobe Illustrator for reviewing or completing production-related tech pack revisions is preferred., • Intimates, sleepwear, or loungewear production experience is strongly preferred. Requirements • 5+ years of experience in apparel production., • Ability to commute to the New York City office., • Ability to work in a fully onsite setting., • Must be authorized to work in the United States without current or future sponsorship requirements. Salary Disclosure Majesty Brands is committed to offering a compensation package that reflects the qualifications and experience of the individual. The salary for this position is competitive and commensurate with experience. While the posted salary range is $95,000–$120,000, we recognize the value of exceptional talent and are open to negotiation for the right candidate. Featured Benefits Medical, Dental & Vision Insurance 401(k) Flexible Spending Accounts (FSA) Employee Assistance Program (EAP) Commuter Benefits Employee Discount Programs Additional Voluntary Benefits, Wellness Programs, and Employee Perks Available Equal Opportunity Employer Majesty Brands is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

One of our direct Financial Services client is hiring for the below role in International Regulatory Reporting or compliance implementations, below are the details: Title: Business Analyst / Project Manager Location: New York, NY Duration: 12 months YOUR ROLE: Coordinate the end-to-end implementation of regulatory reporting mandates and lead the transition into sustainable post-production support. This role will manage country rollout planning, stakeholder alignment, readiness governance, issue intake, triage, escalation, and root-cause resolution to ensure compliant, timely implementations and stable production operations across, vendor, product, technology, tax, compliance, legal, and country teams. YOUR CORE RESPONSIBILITIES: • Coordinate implementation planning for new mandates, including scope, milestones, dependencies, readiness gates, and required stakeholder engagement, • Facilitate discovery workshops and regulatory applicability assessments with country teams, tax, compliance, legal, vendor partners, and product and technology teams, • Manage assigned workstreams through intake, discovery, requirements, design, build coordination, testing support, go-live readiness, hyper care, and transition to run, • Drive cross-functional decision-making on compliance needs, process impacts, operational changes, data requirements, technology dependencies, and vendor or platform implications, • Maintain project-level RAID logs, open-item trackers, decision logs, dependency trackers, action registers, and auditable implementation documentation, • Establish and run the post-production support process, including issue intake, severity classification, ownership routing, escalation paths, and response expectations, • Assess reported production issues, determine business and regulatory impact, identify accountable owners, and coordinate timely resolution across, vendors, product, and technology partners, • Capture lessons learned, recurring issues, root causes, control gaps, and documentation updates to improve future rollouts, production stability, and support readiness Required qualifications • 5+ years in program/project management delivering complex, multi-workstream regulatory, tax or enterprise technology change programs., • Demonstrated experience managing fixed date international regulatory reporting or compliance implementations (e.g., transaction level reporting, statutory/cross border reporting, VAT/GST digital compliance, SOX/financial controls programs) across multiple countries or business units simultaneously., • Hands on experience with formal program governance tooling: RAID/decision logs, readiness/entry exit criteria, Gantt/critical path tracking (e.g., MS Project, Smartsheet, Jira/Confluence) and executive status reporting., • Experience managing delivery through third-party advisory/systems integration partners (e.g., Deloitte, other Big 4 or SI firms) and software vendors., • Working knowledge of finance/tax systems landscapes to test whether reported technical or business status is credible., • Bachelor's degree in Business, Finance, Information Systems or a related field, or equivalent professional experience., • PMP, PgMP or equivalent formal program management certification. Preferred qualifications • Experience standing up controls/compliance operating models from an early or immature state., • Agile/Scrum delivery certification in addition to traditional program management credentials., • Experience presenting and managing escalations with senior stakeholders EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

Overview Grain Group accelerates growth for ambitious consumer brands by aligning business insights with ROI-driven marketing. The team comprises strategic thinkers with backgrounds in business, media, technology, and finance. Position Summary Grain Group is seeking a Sr BI Analyst for hands-on, technical analytics and measurement work across our client portfolio. The role requires strong SQL skills, dashboard and database management, expertise in conversion tracking and measurement implementation, comfort building scripts and automations in Google Sheets and Apps Script, and experience using AI coding tools to build working analyses and internal tools. You will connect paid media, retail, CRM, e-commerce, and sales data for CPG and product brands, build the measurement infrastructure required to accurately track performance, and turn that data into insights, performance forecasts, and recommendations that drive business outcomes. Key Responsibilities • Write and maintain SQL in BigQuery that joins media platform, retail, e-commerce, and client-side sales data into clean, reusable tables, • Own data integrity across accounts: QA tracking, tagging, conversion events, and data feeds, and fix breaks before they reach client reporting, • Build and maintain Looker Studio dashboards aligned to client KPIs and business objectives, • Build and update monthly Impact Estimates using historical performance, benchmarks, and current results; compare against actuals and adjust the method when estimates drift, • Prepare data for and interpret marketing mix models (MMM), incrementality tests, and attribution analysis, • Analyze sales and sell-through data alongside media spend for CPG clients across Amazon, Walmart, Instacart, and DTC, • Write Google Apps Script and Sheets automations for pacing, QA, data pulls, and report prep, • Vibe code internal tools and scripts with AI coding assistants (Claude, Codex, Cursor, or similar), then test and ship them, • Manage and implement conversion tracking across platforms, including Google Tag Manager, platform pixels/tags, and ad account conversion action settings, • Implement and troubleshoot server-side and advanced measurement solutions, including Conversion API and similar platform integrations, • Build offline and CRM-based conversion pipelines that send lead stage and downstream outcome data back to advertising platforms for reporting, attribution, and bid optimization, • Design funnel-based measurement frameworks that connect upper-funnel actions to qualified leads, opportunities, purchases, revenue, or other meaningful business outcomes, • Standardize recurring analytics workflows so they run the same way on every account Strategic & Cross-Functional Responsibilities • Serve as a subject matter expert for data, measurement, conversion tracking, and analytics tooling, • Partner with Strategy team on planning inputs and with Performance team on interpreting results and improving execution, • Turn analysis into clear, decision-ready recommendations for strategists and clients, • Develop measurement plans that define KPIs, conversion hierarchies, funnel stages, data sources, and optimization signals, • Advise teams on conversion architecture, including primary vs. secondary conversion actions, attribution considerations, offline conversion imports, enhanced/server-side measurement, and platform optimization signals, • Participate in client calls and presentations to walk through analysis and findings, • Contribute to new business efforts including performance projections, measurement plans, and MMM scoping, • Mentor junior analysts on SQL, data QA, and automation best practices Requirements • 5+ years hands-on experience in media analytics, BI, or marketing analytics at a CPG brand, product company, or agency serving them, • Proven experience analyzing sales and marketing data together: spend, impressions, and conversions alongside retail sales, sell-through, or e-commerce revenue, • Advanced SQL, including CTEs, window functions, and multi-source joins, • Strong Google Sheets and Apps Script skills: custom functions, triggers, API pulls, and automations, • Hands-on experience vibe coding with AI tools, including testing and debugging the output, • Working knowledge of paid media platforms (Google, Meta, Amazon Ads, programmatic) and metrics such as ROAS, CPA, NTB, and incrementality, • Experience building dashboards in Looker Studio, Tableau, Power BI, or similar, • Hands-on experience implementing and troubleshooting digital conversion tracking using tools such as Google Tag Manager, configuring ad platform (Meta/Google/etc) conversion actions, event mappings, optimization events, and attribution settings, • Experience with advanced or server-side measurement such as Meta Conversion API, Google Enhanced Conversions, server-side GTM, or similar solutions, • Understanding of conversion architecture, including event deduplication, identifiers, attribution, conversion hierarchies, and primary vs. secondary optimization events, • Clear communicator who can explain findings to non-technical partners and clients, • Self-starter thriving in fast-paced, entrepreneurial environments, • Experience with MMM platforms such as Meridian, Robyn, PyMC-Marketing, Recast, or Measured (strong plus), • Familiarity with retail media data (Amazon Marketing Cloud, Walmart Connect, Instacart, Skai), Python or R, or ETL tools such as dbt, Fivetran, or Supermetrics (bonus) Education: Bachelor's degree (required) Experience: • SQL: 3 years (required), • Marketing or media analytics: 3 years (required), • GTM conversion tracking / measurement implementation: 3 years (required), • Excel + Google Sheets / Apps Script: 3 years (required), • Marketing mix modeling: 1 year (preferred) Language: English (required) Location: Hybrid. Must commute to New York, NY 10018 (in person) currently 3-days a week. Benefits • 401(k), • Dental insurance, • Flexible spending account, • Health insurance, • Health savings account, • Paid time off, • Parental leave, • Vision insurance Job Type: Full-time Pay: $90,000.00 - $120,000.00 per year Ability to Commute: • New York, NY 10018 (Required)

Who You Are: The Global Merchandise Manager, Women's Accessories, plays a pivotal role in shaping the product vision, assortment strategy, and commercial success of the category. This individual combines a strong product instinct with analytical rigor to identify market opportunities, drive assortment decisions, and deliver consumer-relevant collections that support brand and financial objectives. Working cross-functionally across Merchandising, Design, Product Development, Production, Sales, Planning, and Global Retail teams. The Merchandise Manager will drive lifecycle from seasonal concept and line planning through market execution. The ideal candidate is a strategic thinker, passionate about product and fashion trends, highly collaborative, and skilled at translating insights into actionable product strategies that drive growth and profitability. What You’ll Do: Product Strategy & Line Planning • Manage seasonal accessories line plans, ensuring product assortment aligns with brand vision, consumer needs, and business objectives., • Evaluate regional line plans and partner with global teams to identify assortment opportunities and market-specific needs., • Identify assortment gaps, white-space opportunities, and key growth drivers to optimize productivity across the footwear portfolio., • Maintain and evolve assortment architecture, ensuring appropriate breadth, depth, and pricing segmentation across the collection. Team & Cross-Functional Relationships • Manage Assistant Merchant; overseeing and providing training, feedback, and professional development., • Serve as a liaison between Merchandising, Design, Product Development, Technical Design, Production, Sales, Retail, and Planning teams throughout the product lifecycle., • Foster collaboration across teams to ensure product, financial, and operational objectives are achieved., • Communicate seasonal product strategies, line changes, key milestones, and assortment updates to internal and global stakeholders. Product Development & Execution • Manage data input from start to finish within Centric PLM, ensuring accuracy and timely updates throughout the development process., • Attributing, Pricing, Style Creation, etc., • Serve as point of contact within Centric PLM for the Mainline Accessories team., • Partner closely with Design and Product Development to refine assortments, capture changes, and ensure product integrity. Financial & Pricing Management • Partner with Product Development and Production teams to review costing and profitability opportunities throughout the development process., • Maintain pricing within assortment & Centric PLM and ensure accuracy across all tools. You’ll Need to Have: • Bachelor’s Degree, • Experience working in a fashion brand, • Minimum of 5+ years’ experience, • Strong communication, organization, and analytical skills, • The ability to thrive in a fast-paced environment, • A strong sense of the women’s accessories market across luxury and accessible tiers, • The ability to translate analysis into actionable business opportunities, • The ability to interact with all levels of management and influence others, • Solid understanding of Retail Math, Merchandising/Buying metrics, • Proficiency in Microsoft Office programs – Specifically Excel & Power Point, • Proficiency in VLOOKUP & Pivot Tables required, • Strong presentation skills, especially visual presentation (Showroom set up) MK Perks: • Generous Paid Time Off & Holiday Calendar, • Summer Fridays, • Internal Mobility Across Brands, • Cross-brand Discount, • Exclusive Employee Sales, • Fav 5 Cards (MK Discount for friends and family), • 401k Match, • Paid Parental Leave, • Thrive Wellness Program, • Commuter Benefits, • Gym Discounts The Company is an equal employment opportunity employer. The Company’s policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at CapriTalentAcquisition@CapriHoldings.com. In compliance with certain Pay Transparency laws, employers are required to disclose a salary range. The salary for this position will vary based on role requirements, skill set and years of experience.

Location: New York, NY, 1515 Broadway Onsite Requirement: Fully onsite, Monday through Friday Hours: 9:00 AM to 6:00 PM Eastern Time Job Description Team: Search & AI Discovery (SAID) The Marketing Acquisition & Campaign Services (MACS) team is a performance-driven digital marketing team that provides in-house strategy, activation, operations, and analytics support to brands across Paramount Skydance. This includes overseeing the implementation of technology and capabilities across the company’s streaming portfolio. As Manager, International SEO, Streaming for the MACS team, you will be reporting directly to the Streaming SEO & AI Discovery (SAID) team. This role will own and drive international SEO initiatives across ParamountPlus.com and Pluto.TV, working across technical SEO, content SEO, analytics, localization, and product workflows to improve organic visibility across global markets. This role will partner closely with international stakeholders, Product, Engineering, Localization, Marketing, Content Operations, Analytics, and the broader SEO team to prioritize opportunities, support regional growth, and ensure SEO and AI Search best practices scale across markets. The ideal candidate wants to work for Paramount Skydance’s portfolio of strong brands, has a passion for international SEO, enjoys working in a fast-paced team environment, and thrives in quick-changing media outlets. This person should be a strong communicator and facilitator who can manage multiple regional stakeholders, translate SEO opportunities into business impact, and drive alignment across teams, markets, and time zones. Responsibilities • Own and drive international SEO strategy, performance, and roadmap development for ParamountPlus.com and Pluto.TV across supported global markets, • Serve as the primary SEO liaison for international stakeholders, aligning regional needs, performance communication, and prioritization with global SEO strategy, • Partner with Product, Engineering, Localization, Content Operations, Marketing, and regional teams to improve localized search and AI Discovery experiences, feature parity, content availability, and region-specific visibility, • Coordinate with Technical SEO, Content SEO, and SEO Analytics leads while independently driving cross-functional international SEO initiatives, • Investigate international SEO issues, ranking behavior, country or language mismatches, and regional content availability differences, • Build business cases, forecasts, and prioritization frameworks to help international SEO initiatives secure Product, Engineering, content, and localization resources, • Conduct multi-market keyword, topic, competitive, and SERP research to inform roadmaps, localized content, title launches, sports events, and optimization priorities, • Monitor and communicate international SEO performance, • Support localization and copy optimization across landing pages, metadata, structured data, internal linking, editorial content, and in-product copy, • Define scalable templates, documentation, and best practices for international SEO across markets, languages, page types, and recurring launch workflows, • Create stakeholder-facing presentations communicating international SEO performance, roadmap priorities, business cases, forecasts, risks, opportunities, and recommended actions, • Develop and maintain international SEO documentation, SLAs, escalation paths, workflows, and best practices to support scalable execution across markets, teams, and recurring launch processes Requirements • Strong understanding of international SEO, including hreflang, localization, regional URL structures, country and language targeting, multi-market site architecture, and global site management, • Experience managing SEO initiatives for international, multi-language, or multi-region websites, • Working knowledge of technical SEO, including crawlability, indexation, rendering, canonicals, redirects, structured data, XML sitemaps, internal linking, site performance, and JavaScript SEO considerations, • Experience conducting international keyword research, competitive analysis, SERP analysis, and market-level opportunity assessments, • Ability to analyze international SEO performance, identify trends or anomalies, and translate findings into clear recommendations, business cases, and prioritization frameworks, • Hands-on experience with Google Search Console and familiarity with SEO platforms such as Adobe Analytics, Semrush, Botify, Screaming Frog, rank tracking platforms, or similar AI Search tools, • Experience working with Product and Engineering teams to define requirements, support implementation, validate releases, and troubleshoot international SEO issues, • Experience working with localization, content operations, merchandising, editorial, marketing, and regional teams to optimize copy, metadata, landing pages, and localized content, • Understanding of how content availability, regional licensing, market-specific catalogs, and localization constraints can impact SEO performance, • Familiarity with AI Discovery concepts, including AI search visibility, LLM citations, answer engine optimization, and how international content may appear across emerging discovery surfaces, • Proficient in Excel or Google Sheets, including data analysis, formulas, pivot tables, VLOOKUP/XLOOKUP, and working with keyword or performance datasets, • Strong communication, facilitation, and project management skills, with the ability to manage stakeholders across regions, functions, and time zones, • Comfortable taking occasional early or late meetings to support collaboration with international teams in different time zones, • A second language is a plus, but not required Qualifications • 5+ years of experience in SEO, including at least 1 year of international SEO experience, • Strong analytical, organizational, stakeholder management, and problem-solving skills, • Ability to balance strategic international SEO planning with hands-on execution across technical, content, and reporting workstreams, • Strong communication skills with the ability to present international SEO performance, opportunities, tradeoffs, and business impact to technical and non-technical stakeholders, • Strong facilitation skills with the ability to drive alignment across Product, Engineering, Localization, Marketing, Analytics, Content Operations, and regional teams, • Experience working on large-scale websites, streaming, entertainment, media, or publishing is a plus, • Passion and curiosity for SEO, international search behavior, localization, streaming, AI Discovery, and the evolving search landscape Compensation • Pay Range: $61.89 - $66.88/hr. Requisition ID: PMOUNTJP00001563

Job Title: Product Development Manager, Apparel Location: New York City (Onsite) Job Type: Full-Time FLSA Status: Exempt Reports To: Senior Director of Production & Global Sourcing Dotted-Line Reporting: Director of Product Development Salary Range: $120,000 - $140,000 annually Company Overview Majesty Brands is a global leader in the socks, sleepwear, intimates, footwear, and accessories categories. With distribution in over 70 countries and a dynamic, seasoned staff, Majesty is a “go to” resource for retailers and brands alike. Majesty has dedicated teams strategically placed to maintain business in each area of retail. Our approach is simple. We want to service each customer’s needs. Sometimes it’s about value and sometimes it’s about fashion; in all cases, we’re here to ensure the end user is completely satisfied with their purchase. Position Overview Majesty Brands is seeking an experienced Product Development Manager with a strong apparel product background to manage fast-paced development from initial concept through production-ready handoff. This is a highly hands-on, product-focused role requiring a strong understanding of fabric, garment construction, sourcing, costing, and product execution. The ideal candidate will have a foundation in apparel design before transitioning into Product Development, or equally strong technical product expertise with deep knowledge of fabric and apparel costing. Working closely with Product Development, Production, Global Sourcing, Design, Sales, and overseas factories, this role will turn customer requests, reference samples, CADs, and market opportunities into commercially viable, cost-competitive products. Direct experience developing apparel for the off-price retail channel is required. Key Responsibilities • Manage apparel development from initial customer request, reference sample, CAD, or concept through production-ready handoff., • Translate product concepts and customer requests into clear factory development instructions and commercially viable products., • Evaluate product feasibility based on fabric, construction, quality, target cost, MOQ, factory capability, and delivery., • Own development costing and understand the impact of fabric, consumption, construction, trims, labor/CM, embellishments, packaging, duty, and tariffs., • Source and evaluate fabrics, trims, constructions, and manufacturing solutions based on product intent, quality, cost, MOQ, and lead time., • Identify cost-engineering opportunities and alternative fabrications, constructions, trims, or factories to achieve target cost and timing., • Work directly with overseas factories and vendors on sourcing, costing, sample development, materials, quality, and timelines., • Review development samples for fabric, hand feel, construction, measurements, workmanship, color, print, trims, functionality, and overall product execution., • Manage aggressive development calendars and drive rapid sample turnaround while minimizing unnecessary development rounds., • Partner with Sales to understand customer requirements, target prices, quantities, delivery expectations, and changing priorities., • Partner with Design to maintain product intent while achieving required cost and manufacturability., • Partner with Production, Global Sourcing, and Product Development to ensure a complete and accurate production-ready handoff., • Manage a high volume of simultaneous developments and reprioritize quickly based on customer urgency and business opportunity., • Clearly communicate when a product, price, MOQ, or timeline is not achievable and proactively provide commercially viable alternatives., • Maintain accurate development trackers, costing history, vendor quotations, and product documentation. Experience & Skills • Strong apparel product knowledge and ability to evaluate product from both a creative and commercial perspective., • Deep understanding of fabric, garment construction, trims, manufacturing processes, and apparel costing., • Strong fabric knowledge, including composition, weight, construction, hand feel, performance, consumption, sourcing, and cost implications., • Strong costing and cost-engineering skills with the ability to identify the specific components driving garment cost., • Excellent product judgment with the ability to quickly assess quality, construction, cost, factory capability, and commercial viability., • Strong understanding of the off-price business model, including quick-turn development, aggressive target costing, flexible sourcing, and rapidly changing priorities., • Strong vendor negotiation, sourcing, analytical, organizational, and problem-solving skills., • Ability to manage a high volume of developments and perform effectively under pressure in a fast-paced, high-visibility role., • Advanced Microsoft Excel skills; experience with PLM, ERP, Airtable, or similar product management systems preferred. Requirements • 5+ years of professional apparel Product Development experience required., • Direct experience developing apparel for the off-price retail channel required., • Experience working with major U.S. off-price retailers strongly preferred., • Strong apparel costing and fabric knowledge required., • Experience developing apparel from concept, CAD, reference sample, or customer request through production-ready handoff., • Experience working directly with overseas factories and vendors required., • Background in apparel design prior to Product Development strongly preferred., • Experience with licensed brands and private-label programs preferred., • Experience in intimates, underwear, sleepwear, loungewear, activewear, or related apparel categories preferred., • Must be legally authorized to work in the United States without current or future employer sponsorship. Majesty Brands does not provide employment visa sponsorship for this position. Salary Disclosure Majesty Brands is committed to offering a compensation package that reflects the qualifications and experience of each individual candidate. The anticipated salary range for this position is $120,000 - $140,000 annually, with final compensation determined based on experience, skills, and overall fit for the role. Featured Benefits • Medical, Dental & Vision Insurance, • 401(k), • Flexible Spending Accounts (FSA), • Employee Assistance Program (EAP), • Commuter Benefits, • Employee Discount Programs, • Two work-from-home days per month, • Additional Voluntary Benefits, Wellness Programs, and Employee Perks Available, • Monthly “Majestic” employee engagement and learning experiences Equal Opportunity Employer Majesty Brands is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are looking for a Design Manager to join our footwear team who has a passion for footwear. This is a great opportunity for those looking to be a part of an energetic, creative, and collaborative group. Our designers have been shaping our department for the better season after season. Role and Responsibilities: • Design ownership over brands, assigned based on aesthetic and creative strengths, responsible for creating digital CADs for full seasonal collections., • Create and then present tech packages with information necessary in order to communicate design specific detail necessary to hand off to the design team and factories, • Manage and mentor designers, providing clear direction, feedback, and support to ensure high-quality creative output and professional development., • Own and maintain the design team’s calendar, coordinating projects, deadlines, reviews, and priorities across teams to ensure resources are appropriately allocated and work is delivered on schedule., • Balance team capacity and business priorities, proactively identifying scheduling conflicts, resource gaps, and competing deadlines., • Partner with cross-functional stakeholders to prioritize design requests and establish realistic timelines and expectations., • Manage and oversee PLM system, • Provide design direction as well as design alongside a team of designers, prepare sample requests, review, critique, test, and approve submitted samples while adhering to product, color, and material standards, • Strong eye for trend, conducting valuable market research, bringing ideas to weekly meeting and inspiring other members of design team, • Works closely with design director with creative freedom throughout process, • Communicate effectively with overseas team to resolve any technical or timing issues, • Work cross-functionally and professionally with product development team, communicating clearly to ensure the design is produced how you envisioned, • Primarily design in Illustrator with minimal retouching in Photoshop, • Bring new ideas and concepts to table regularly, • Adjust product styling or functionality as needed after receiving feedback from inhouse product testing, • Assist in creating pitches for current and new licenses, • Help to create pitches for new licenses, • Present and participate in meetings with licensors and buyers, • Perform comp shopping and store shopping activities to monitor the competitive landscape and identify opportunities for product differentiation and innovation., • Use all available resources to stay updated on forward trends (WGSN, RVCF, etc.), • Maintain seasonal development calendar Qualifications: • 5+ years’ experience in footwear., • Managing staff of designers, • Experience in working for a wholesale company managing multiple licenses a plus, • Creative edge, bringing new ideas and trends to the table, • Excellent time management skills, • Excellent project management skills, • Positive team player, • Ability to work in a fast-paced and deadline-driven environment, • Proficient Illustrator & working knowledge of Photoshop, • Excellent written and verbal communication skills, • Strong knowledge of customers and buyers’ expectations, • Perform other related duties as assigned by management to support the department’s business needs, • Understand and follow Gina’s employee policies and procedures Benefits and Perks: • Hybrid work schedule & early Fridays, • Generous PTO and paid holidays, • 401K & Profit sharing, • Pre-tax commuter benefits, • Professional development, • Team building and Company events NY Pay Transparency: The pay range for this position is ($95-105k) annually based on skills and experience. Equal Opportunity Employer: Gina Group is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business need. Recruitment Agencies: Gina Group does not accept unsolicited agency resumes and will not be held responsible for any fees related to unsolicited resumes.

Do you love bringing innovative tech products to life, developing new products from concept through mass production, and working closely with international factories? Velvet Caviar is looking for a Senior Product Developer – Tech & Electronics to lead the development of new tech accessories, device platforms, and consumer electronics. From developing new protective case molds for the latest iPhone, Samsung Galaxy, iPad, Kindle, AirPods and other devices, to launching MagSafe accessories, charging products and other consumer electronics, you’ll be responsible for turning new product opportunities into production-ready products. You’ll work hands-on with overseas factories, industrial designers, engineers, and our internal Product team to develop new constructions, tooling, materials, components and functionality. You’ll own projects from initial concept and CAD through prototyping, testing, tooling approval and production handoff. As a fast-growing tech and fashion accessories brand with millions of customers worldwide, Velvet Caviar offers the opportunity to develop products that quickly reach a large consumer audience. ABOUT US: Velvet Caviar is a leading phone accessories brand with over 1+ Million social media followers and millions of customers; established in New York since 2015. We’re mostly known for pioneering the tech accessories market with our stylish phone cases and matching accessories. Our products can be found in national retailers and on thousands of celebrities and influencers worldwide! With a smaller team environment, Velvet Caviar is a great place for collaboration, personal development, and making an impact. Learn more about our brand by visiting our Instagram at @velvetcaviar and our website, velvetcaviar.com RESPONSIBILITIES: • Lead development of new tech accessories and consumer electronics from concept through mass production, • Develop new products across MagSafe, charging, power, travel electronics, and other emerging tech categories, • Own development of new device case molds and tooling for iPhone, Samsung, iPad, Kindle, AirPods, and other devices, • Work with factories and engineers to review CAD files, 3D designs, materials, construction, and technical specifications, • Manage prototypes and T0/T1/T2 tooling samples, ensuring proper fit, function, quality, and durability, • Source and negotiate with factories, component suppliers, and tooling vendors, • Manage multiple development timelines and communicate daily with overseas factories, • Establish product testing and QC standards, including applicable FCC, CE, RoHS, and safety requirements, • Prepare approved products for production and partner with the Production Manager through initial manufacturing REQUIREMENTS: • 5+ years of product development experience in consumer electronics, mobile accessories, device cases, or related hardware, • Experience developing injection-molded products and tooling from CAD through mass production, • Strong understanding of CAD, 3D models, molds, materials, tolerances, and manufacturing processes, • Experience with smartphone, tablet, wearable, charging, or other consumer tech products, • Proven experience working directly with factories and engineers in China/Asia, • Understanding of product testing, QC, and consumer electronics safety certifications, • Highly organized and capable of managing multiple products and development timelines simultaneously, • Strong technical problem-solving, costing, and vendor negotiation skills, • Able to work in the Brooklyn office two days a week (Tuesday & Thursday), • Bachelor's degree in Product Design, Engineering, or a similar field PERKS: • Strong Salary + Performance Bonuses, • Hybrid schedule, in-office Tue/Thur, • PTO days and paid Holidays off, • 401k and Health Insurance coverage, • Nice office at the Brooklyn Navy Yard, • Be a key player in a growing brand!, • Drinks, snacks, and team events Velvet Caviar is an equal-opportunity employer committed to a diverse workplace environment.

Dr. Martens is more than a brand - it's a global icon with over 60 years of attitude, heritage, and cultural impact. We're a thriving, values-driven business powered by diverse thinkers, bold doers, and people who bring their whole selves to work. If you're ready to make your mark, you're in the right place. At DM, our values guide everything we do: Be Yourself, Act Courageously, Show You Care. They're not just words - they're how we turn passion into progress. WHERE YOU CONTRIBUTE The Distributor Sales Manager, Americas is accountable for driving profitable sales growth and premium brand execution across distributor-managed markets in the Americas, with immediate focus across LATAM and Canada. Reporting to the Head of Partner Management, this role translates the global partner-market strategy into clear commercial plans, joint business plans and seasonal execution with distributor partners. The role acts as the day-to-day commercial owner for assigned partners, balancing sales delivery, margin protection, brand elevation and operational excellence across wholesale, retail, e-commerce and marketplace opportunities. The role is expected to partner closely with Sales Operations, Supply & Demand, Merchandising, Marketing, Finance, Legal and Americas market stakeholders to ensure distributor plans are commercially robust, operationally deliverable and aligned to global guardrails. It will support the development of a scalable, capital-light partner model that expands Dr. Martens' footprint while protecting consumer experience and brand standards. CORE ACCOUNTABILITIES • Sales Strategy & Planning - Develop and execute distributor sales plans for assigned Americas markets, aligned to global commercial frameworks, seasonal priorities and local market opportunity., • Revenue & Margin Delivery - Own assigned distributor revenue, gross margin and profitability KPIs, identifying risks and opportunities through regular trading reviews., • Partner Account Management - Build strong day-to-day relationships with distributor partners and ensure clear joint business plans, targets, calendars and follow-up actions are in place., • Joint Business Planning & Quarterly Reviews - Lead structured planning with partners, including seasonal buys, account priorities, market activations, sell-through reviews and corrective actions., • Wholesale, Retail & E-commerce Growth - Support partner execution across premium wholesale accounts, mono-brand retail, partner-operated e-commerce and selective marketplace opportunities in line with brand standards., • Forecasting & Demand Planning - Partner with Supply & Demand and Sales Operations to develop accurate forecasts, support order placement and improve inventory flow, availability and turn., • Assortment & Merchandising Input - Provide market feedback into merchandising teams, including product opportunities, local consumer needs, retail/e-commerce performance and future assortment recommendations., • Operational Excellence - Support orderbook management, PO follow-up, shipment visibility and issue resolution, escalating systemic service or process blockers where required., • Cross-Functional Collaboration - Work closely with Marketing, Product Merchandising, Finance, Legal, Operations and US/Canada stakeholders to deliver joined-up go-to-market execution., • Performance Management & Reporting - Monitor sales, sell-through, inventory, account penetration and partner execution KPIs, providing clear updates, recommendations and action plans., • Customer & Consumer Experience - Ensure distributor partners deliver a premium brand and consumer experience across channels, consistent with Dr. Martens standards and partner-market expectations. KEY SKILLS & CAPABILITIES • Commercial Acumen - Strong understanding of distributor, wholesale, retail and e-commerce dynamics, including pricing, margin management and market growth levers., • Partner Relationship Management - Ability to build trusted relationships with distributors and internal stakeholders while holding partners accountable for execution and performance., • Strategic Thinking & Execution - Able to translate global strategy into practical local plans, with clear priorities, sequencing and measurable outcomes., • Analytical & Data-Driven Decision Making - Confident interpreting sales, sell-through, inventory and forecast data to identify risks, opportunities and recommended actions., • Operational Discipline - Good knowledge of order-to-cash processes, orderbook management, seasonal calendars, inventory flow and cross-functional issue resolution., • Influencing & Stakeholder Management - Able to align stakeholders across regions and functions, especially where distributor decisions interface with Americas market teams., • Brand & Consumer Focus - Understands the importance of premium distribution, brand-right execution and consistent consumer experience across partner channels., • Communication & Presentation - Clear, concise communicator able to present partner plans, trading updates and recommendations to senior stakeholders., • Cultural Agility - Comfortable working across multiple markets and partner organisations, adapting approach to local ways of working while maintaining global standards., • Language Skills - Fluent English required; Spanish and/or Portuguese would be advantageous for LATAM partner engagement. Workplace & Role Requirements • Ability to work at a standard computer workstation 40+ hours per week, with or without accommodation, • Travel Requirement – 5% We live and breathe Rebellious Self Expression at Dr. Martens, and there are 3 core values at the heart of it. They never stand alone, but work together as a balancing act of rights and responsibilities to support how we work together at DMs. BE YOURSELF. ACT COURAGEOUSLY. SHOW YOU CARE. At DM your technical capability will go hand in hand with the below: • Great relationship management that delivers results through effective teamwork, • You’ll be a proud custodian to our DM’s culture, embodying what we stand for and encouraging others to do the same, • You’ll help build a highly engaged team – ensuring a collaborative culture and providing guidance & support to other team members, • You will take ownership for your own development, proactively seeking out feedback to build self-awareness, • You will bring the outside-in; you’ll share best practice across the team/business and encourage ideas sharing as well as collaborative problem solving, • You’ll lead the way and role model on all things DE&I & wellbeing WHAT'S IN IT FOR YOU? • Welcome to the brand pair of Docs, • Employee discount of 65% off footwear and 50% on accessories, • Early Friday finish in the summertime, • Affordable & comprehensive Medical, Dental & Vision packages, • Our Employee Assistance Program – for when times might get tough, • 401(k) Pre-Tax and Roth Retirement savings plans, • DM Foundation, supporting and empowering our communities around the world, • Paid volunteer hours PAY DETAILS • $95,000 - $105,000 per year., • Exact compensation may vary based on skills, experience, and location. READY TO FILL YOUR BOOTS? If you're excited to own your impact, shape the future of an iconic brand, and grow your career in a place that champions individuality - we'd love to hear from you. For roles where a background check is required, employment is contingent upon successful completion of the screening process in accordance with applicable laws. Background checks are only initiated after a conditional offer of employment has been extended and accepted. We strive to create an accessible and inclusive application and selection process. We are committed to working with and providing reasonable accommodation to job applicants who may require provisions to participate in the recruitment, selection and/or assessment processes. Should you require an accommodation, please contact our Talent Acquisition team, by email at jobs@drmartens.com and we will work with you to meet your accessibility needs. At Dr. Martens, we are committed to creating an environment in which we can all be our best and bring our authentic selves to work. We encourage applications, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, or disability. Diverse and inclusive teams have a positive impact on our brand; helping us to authentically speak to our consumers. We strive to develop a business where our people can thrive and feel empowered to express themselves. Because we believe everyone should feel supported and included, whatever their role in the Dr. Martens community.