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Compensation Type: Yearly Highgate Hotels: Highgate is a leading real estate investment and hospitality management company with over $15 billion of assets under management and a global portfolio of more than 400 hotels spanning North America, Europe, the Caribbean, and Latin America. With a 30-year track record as an innovator in the hospitality industry, this forward-thinking company provides expert guidance through all stages of the property cycle, from planning and development through recapitalization or disposition. Highgate continues to demonstrate success in developing a diverse portfolio of bespoke lifestyle hotel brands, legacy brands, and independent hotels and resorts, featuring contemporary programming and digital acumen. The company utilizes industry-leading revenue management tools that efficiently identify and predict evolving market dynamics to drive outperformance and maximize asset value. With an executive team of seasoned hospitality leaders and corporate offices worldwide, Highgate is a trusted partner for top ownership groups and major hotel brands. _ Location: Ace Hotel is a collection of individuals held together by an affinity for the soulful. We are not here to reinvent the hotel, but to readdress its conventions to keep them fresh, energized, human. We believe that hospitality is compassion, that it is not servility but genuine concern for others’ well-being. We like the stories that come with things and think that wherever you are, you should feel like you’re there. Work can be a beautiful thing when done beautifully, and it’s a lot more fun done together than apart. This, more than anything else, is why people want to sleep with us. Overview: The Chief Engineer is responsible for the day-to-day operations of the engineering division. In the absence of the Director, the assistant will assume the administrative, financial and operating aspects of the hotel as they relate to engineering. Responsibilities: • Assist in developing and implementing plans to maintain property, equipment, grounds and other assets in a safe and acceptable state of repair., • Ensure the hotel is in compliance with all local, state and federal laws., • Supervise and train all Engineering staff in Customer Service, Empowerment, Standard Operating Procedures and Loss Prevention., • Create and post all Engineering staffs schedules., • Create and adhere to annual budget for department., • Assist in developing financial forecasts and actively participate in monthly profit/loss review meetings., • Create and implement preventative maintenance program for all hotel equipment., • Ensure all emergency and life safety equipment and systems are inspected, tested and certified per Highgate Hotel standards., • Actively participate in energy conservation programs., • Review all guest and meeting planner comment cards to ensure problems are identified and corrected in a timely manner., • Ensure compliancewith the Americans with Disabilities Act (ADA)., • Assist with the administration of all vendor contracts controlled by the engineering department., • Ensure that room maintenance requests are handled in a prompt and courteous manner., • Follow up on all alarms immediately to determine the exact location and cause.Determine emergency status and report findings to Front Desk.Take immediate action as necessary., • Assist as necessary with special projects and renovations., • Support and participate in all Highgate Hotel programs., • Participate in Highgate Hotel Safety Committee. Qualifications:, • At least 3 years of progressive facilities management experience in a hotel or a related field; or a 2-year college degree and 1 year of related management experience., • High school diploma or equivalent required., • Stationary Engineer’s license if required by local code., • HVAC, electrical, plumbing, boiler operations and general maintenance skills required., • Long hours sometimes required., • Heavy work – Exerting up to 100 pounds of force occasionally, and /or 50 pounds of force frequently and/or up to 20 pounds of force constantly to lift, carry, push, pull or otherwise move objects., • Maintain a warm and friendly demeanor at all times., • Must be able to effectively communicate both verbally and written, with all level of employees and guests in an attentive, friendly, courteous and service oriented manner., • Must be effective at listening to, understanding, and clarifying concerns raised by employees and guests., • Must be able to multitask and prioritize departmental functions to meet deadlines., • Approach all encounters with guests and employees in an attentive, friendly, courteous and service-oriented manner., • Attend all hotel required meetings and trainings., • Participate in M.O.D. coverage as required., • Maintain regular attendance in compliance with Highgate Hotel Standards, as required by scheduling, which will vary according to the needs of the hotel., • Maintain high standards of personal appearance and grooming, which include wearing nametags., • Comply with Highgate Hotel Standards and regulations to encourage safe and efficient hotel operations., • Maximize efforts towards productivity, identify problem areas and assist in implementing solutions., • Must be effective in handling problems, including anticipating, preventing, identifying and solving problems as necessary., • Must be able to understand and evaluate complex information, data, etc. from various sources to meet appropriate objectives., • Must be able to maintain confidentiality of information., • Perform other duties as requested by management.

Overview: The Field Engineer will oversee and execute the project controls and management of a multiple disciplines. The main functions of the Field Engineer will include (but not limited to) responsibility for a specific area of the project such as direct support to a Craft Superintendent, quantity collection, scheduling, contract administration, project planning and scheduling, procurement, and project reporting. The Field Engineer role requires interfacing with all areas affected by the project including the client(s), engineering/design, subcontractors, distributors, vendors, and the ongoing strategic communication with project management regarding the status of the project. Location & Travel Details: You can be based in any city or state in the U.S.. This is a traveling, project based position, up to 100% of the time. You have the potential to be placed on a project site located in any state throughout the US. You’ll spend 8-18 months on average per project. We offer designated per diem in addition to an excellent base salary to support and help you cover living expenses. This position is eligible for mobilization support (may include mileage reimbursement), and includes one longer weekend every four weeks for additional time at home. COMPANY OVERVIEW: MasTec’s Clean Energy and Infrastructure Segment (CE&I) is a $4.2 billion annual revenue business unit that provides construction services for industrial: building products manufacturers, decarbonization, power generation facilities, manufacturing plants; infrastructure: general heavy civil, underground & utilities, structures, electrical, material production, roadways, bridges, specialty pavement overlays, environmental and general building; renewables: solar, wind, and battery storage. Sustainability is foundational to our culture and influences everything we do. As the leader within our industries, we focus on world-class safety, smart solutions, and market advancements. MasTec, a minority-owned Fortune 500 company, boasts a rich history of over 90 years in the construction industry. With more than 35,000 workers and over 400 offices nationwide, we offer our employees the flexibility to work in various locations. Within the CE&I segment, the MasTec Industrial group includes sister companies Casey Industrial and Phoenix Industrial. This collective industrial group provides a merit shop, multi-craft industrial contractor with the ability to self-perform all major craft trades that ensures greater safety, quality, flexibility, and economy in delivering the work required to complete each project. The collective experience and knowledge of this team provides comprehensive project development, pre-construction planning, and project management with the mastery to successfully manage projects that meet deliverable and budgetary requirements. With every project, we commit to providing the highest levels of quality, safety, and value. At MasTec Industrial, we are committed to attracting, developing and retaining the best talent. No matter your role, you will have the opportunity to contribute to our success as we deliver innovative solutions to our clients. Responsibilities: ESSENTIAL JOB FUNCTIONS: • Represent in a professional manner in all client interaction activities., • Provide the client with contract required reports (weekly, monthly, schedule.), • Understand and follow Corporate Safety Plan and site-specific safety plan., • Perform quantity calculations by taking measurements and determining percentage of completed/installed materials and work., • Develop a process for the creation and review of work plans and work packages., • Provide support to ensure the site quality plan is communicated and all inspections and quality documentation is being completed on time and assembled for final turn over., • Manage the compilation, processing, and customer approval of daily labor timesheets., • Compile and distribute weekly the Average Labor Rate to the front-line supervision., • Train craft and staff employees how to complete Job Safety Analysis (JSA’s), • Participate in or lead jobsite safety reviews, toolbox meetings, mass safety meetings, and safety training., • Order, schedule material deliveries and develop procurement status report., • Plan, schedule, and coordinate work groups on the jobsite., • Perform material takeoffs from drawings, specifications, and other contract documents., • Perform basic engineering calculations and technical drafting to support field operations., • Assist Engineers to gather and prepare data for submittal or transmittal to the customer, vendors, subcontractors, governmental agencies, and internal use., • Prepare field issued purchase orders and subcontracts, prepare material buyout take offs from issued for construction drawings., • Direct home office performed procurement and subcontract administration functions., • Provide field support and supervise subcontractor operations., • Manage all project recordkeeping and correspondence functions including daily reports, photographs, requests for information (RFIs), submittal, transmittal, memorandums, and other contract required correspondence., • Create and closely monitor project controls such as productivity tracking including Average labor rate, indirect scheduling, equipment schedule and log, risk, and opportunity log, etc., • Create and maintain master project schedule., • Generate change orders and as-built data to be reviewed by the Project Manager., • Drive the planning process through the master schedule, 6-week, 3-week, 1-week, and manpower curves., • Administering Accounting/Job Costs/Work in Progress (WIP) Updates: Learn and Assist the Project Manager with these activities., • Lead the budgeting process of taking the Estimate and converting it to the Standard Phase codes., • Alert Project Manager and Home Office of trends regarding labor, material, subcontractor and equipment costs., • Accurately manage the cost forecasting process for entire project (labor, materials, subcontractors, equipment.), • Establish the cashflow forecast and curve to ensure positive cashflow for the project., • Act as primary company representative in the absence of or as directed by Project Manager or Project Engineer., • Know the provisions, terms and scope of the Prime contract., • Develop and prepare Schedule of Values and all Invoices to customer. SUPERVISORY: • Support a crew of up to 50 people for short periods if needed., • Lead 1-2 Field Engineers., • Oversee and manage a portion of the field office staff, which could include engineers, office manager, document control, schedulers, procurement, warehouse, and other support personnel on the project. Qualifications: EDUCATION AND WORK EXPERIENCE REQUIREMENTS: • Bachelor’s degree in engineering, construction management, or related., • Three (3) to Five (5) years’ experience as a Field Engineer or similar role. INDUSTRIAL EXPERIENCE PREFERRED. KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: • Be knowledgeable of MIC Health and Safety programs and project specific regulations., • When on-site, actively participate in daily toolbox meetings with crews and subcontractors., • Set a personal example of safe behavior., • Ability to read, analyze and identify discrepancies on engineering plans, specifications, and contract documents., • Ability to freely access all points of a construction site in wide-ranging climates and environment., • Highly motivated, with a demonstrated passion for excellence and taking initiative., • Strong work ethic, willing to do what it takes to get the job done right the first time., • Demonstrated commitment to ethics and integrity., • Passion for safety, with the ability to help us ensure that nobody gets hurt., • Team player with the ability to work independently to meet deadlines, goals, and objectives., • Willing to travel extensively and relocate to the next project location for an extended period (typically 6-12 months.), • Other may duties may be assigned, • Maintain in-depth relations with all members of their team and your supervisor. PHYSICAL DEMANDS: • Work up to a 12-hour shift doing hard physical work in varying temperatures and outside conditions., • May need to maintain physical strength and stamina; Use arms, hands, and legs fully; Push, pull, and frequently lift and carry objects weighing up to 50 pounds; and stoop, kneel, balance, crouch, crawl, and climb to perform job tasks., • Stamina to perform this task repetitively and continuously for several hour intervals., • Uncontrolled environmental conditions: Constant change in weather and site conditions., • This work environment may involve moderate exposure to unusual elements, such as extreme temperatures, dirt, dust, fumes, smoke, unpleasant odors and/or loud noises., • Ability to wear personal protective equipment is required (including but not limited to- safety toed shoes, gloves, safety glasses, hearing protection, hardhat, vest, etc.)., • Move in and around confined, cluttered, and uneven areas., • May need to work at heights and must be able to abide by all safety and fall-protection requirements; must be able to wear and utilize all safety equipment required for work at heights., • Evaluate information based on measurable standards; and see details in objects or drawings and recognize slight differences in shapes and shadings., • Visualize objects in three dimensions from drawings., • Keep good balance and work at heights., • See well (either naturally or with correction)., • Hear well (either naturally or with correction.), • Coordinate the use of eyes, hands, and feet. HOURS: This position is a Full-Time position scheduled to work typically 50 hours per week. Schedule is subject to projects requirements. TRAVEL: Travel required up to 90%. Position requires presence directly on the Project Site location with intermittent travel to residence of record. What's in it for you: Financial Wellbeing • Competitive pay of $70,000 - $110,000 per year with ongoing performance review, project completion bonus opportunity and merit increases., • 401(k) with company match & Employee Stock Purchase Plan (ESPP), • Flexible spending account (Healthcare & Dependent care) Health & Wellness • Medical, Dental, and Vision insurance (plan choice) - coverage for spouse, domestic partner, and children, • Diabetes Management, Telehealth Coverage, Prescription Drug Plan, Pet Insurance Family & Lifestyle • Paid Time Off, Paid Holidays, Bereavement Leave, • Military Leave, including Differential Pay and Benefits Continuation, • Employee Assistance Program Planning for the Unexpected • Short and long-term disability, life insurance, and accidental death & dismemberment, • Voluntary life insurance, accident, critical illness, hospital indemnity coverage, • Emergency Travel Assistance Program, • Group legal plan Position may be subject to pre-employment screening, which may include background check and drug testing. Accessibility: If you need an accommodation as part of the employment process, contact ceicareers@mastec.com. Due to the high volume of applications received, we are unable to respond to individual requests regarding application status. Please log into your candidate profile for up-to-date information. MasTec, Inc. is an Equal Employment Opportunity Employer/Disability/Veteran. 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, disability, genetic information, military status, 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. It is also MasTec's policy to comply with all applicable state, federal and local laws respecting consideration of unemployment status in making hiring decisions. Disclaimer: MasTec and our Subsidiaries will never ask prospective employees for any form of payment or money transfer as part of job application or onboarding. We do not ask prospective employees for information about credit cards or personal passwords, and it does not require applicants to purchase equipment or software. Ensure that all recruiter email addresses end in @mastec.com or @talent.icims.com. If you suspect you are the target of a scam, we advise you to contact your local law enforcement agency and report fraud at _. MasTec Clean Energy & Infrastructure and our subsidiaries do not work with any third-party recruiters or agencies without a valid signed agreement and partnership with the Corporate Talent Acquisition Team. #LI-MH1 #LI-Onsite Appcast (For Export): #appred

Job DescriptionSalary: $100- $130K Title: Construction Superintendent Job Summary Infinity Contracting Services Corp is actively seeking a highly motivated Superintendent for a construction project(s) located in the five boroughs of New York City. We recognize our employees are the companys most asset. Inspiration, diligence, and encouragement towards each other coupled with purposeful work lead to a rewarding career and we are proud to provide a platform with which our employees can attain their goals. The Superintendents position will be responsible to run the day-to-day operations and control short-term schedules. Coordinate and supervise all field staff, subcontractors, materials, and activities necessary to successfully complete a project of varying complexity. You will work with the Project Manager, Assistant Project Manager, and Project Engineer as a team to produce a quality product on time, within budget, complying with safety standards, and exceeding customer expectations. Responsibilities and Duties Adhere and support the organizations safety, observing OSHA and all state-level agency regulations (MTA, SCA, etc.) Enforce orientation of job-specific training (scaffolding, aerial lift training, etc.) on-site Create and manage safety-related documents Facilitate external/internal inspections Host Toolbox talks and train new employees on safety standards Identify potential safety risks and protect workers against possible hazards Verify existing field conditions and report changes to affected parties Establish and enforce acceptable levels of workmanship and good practices Inspect materials for conformance against approved documents and specifications Identify subcontractors NCRs, communicate across project stakeholders and ensure compliance Identify and address punch-list items Plan and direct construction activities of the subcontractors, laborers, and other staff as assigned Monitor work progress to ensure adherence to construction schedule and budget Identify, order and manage resources required to finish company self-performed activities Assign daily tasks to field laborers Maintain relationships with customers, architects, union representatives, subcontractors, superiors, and project team Hire and layoff field labor Identify conflicts in construction progress and communicate them to the project team for resolution Initiate and communicate with project team RFIs, Submittals, and potential COs Arrange on-site rigging, equipment, and material deliveries Schedule subcontractors, consultants, and vendors in a critical path to ensure timely completion Attend meetings with Construction Manager/client Prepare daily reports Collect and submit payroll documentation Qualifications and Skills • 2+ year(s) superintendent and/or foreman experience 5 years of construction-related experience. Possession of SST62 Strong oral and written communication. Excellent time management skills.

Senior Distinguished Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : Master’s Degree in Computer Science or a Master’s Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at 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. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Lead dedicated pods of software, data and machine learning engineers in building AI/ML capabilities for Credit and Financial Risk Management products, serving as a technical mentor to the team on these core technologies Design, build, and deliver AI-powered products and components that solve real-world business problems, leveraging expertise in model experimentation, LLM inference, similarity search, and agentic AI within a collaborative Product and Data Science environment Collaborate with a cross-functional team of engineers, data scientists, and designers to develop and scale AI-powered products that enable optimized associate performance and deliver world-class customer value Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Leverage a broad stack of Open Source and SaaS AI technologies and use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor’s Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a similar field 6+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) Experience staying abreast of latest ML research with an intuitive ability to understand scientific publications and judiciously apply novel techniques in production Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at 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. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Job DescriptionDescription: Position Overview Hawks & Company is seeking a Commercial HVAC Sales Engineer to expand our project sales capabilities and deepen relationships with both existing and newly developed customers. This role blends technical expertise, solution design, and customer relationship management. You will serve as a trusted advisor—identifying opportunities, developing engineered solutions, and guiding customers through the full lifecycle of their mechanical system needs. Key Responsibilities · Develop, cultivate, and maintain strong relationships within Hawks’ existing customer base. · Build a new book of business through networking, referrals, site visits, and proactive outreach. · Serve as the single point of contact for assigned customers, ensuring clarity, responsiveness, and trust. · Identify opportunities for equipment replacements, design-build retrofits, energy savings, and system upgrades. Conduct detailed site surveys to evaluate equipment condition, system performance, and code compliance. · Develop engineered solutions including equipment selections, conceptual designs, and scope narratives. · Identify and quantify energy savings opportunities and lifecycle cost improvements. · Collaborate with vendors, reps, and internal technical teams to validate designs, pricing, and feasibility. · Prepare accurate, professional proposals including scope, pricing, options, and value justification. · Present solutions to customers in a clear, consultative manner that supports confident decision-making. · Offer good/better/best options to align with customer budgets and operational priorities. · Ensure proposals meet Hawks’ standards for reliability, maintainability, and long-term value. Requirements: · 3–7 years of experience in commercial HVAC, mechanical systems, or related technical sales. · Strong understanding of HVAC equipment, controls, and system design principles. · Ability to conduct site surveys and translate findings into engineered solutions. · Excellent communication and relationship-building skills. · Self-driven, organized, and comfortable managing multiple opportunities simultaneously. · Proficiency with CRM tools, estimating software, and Microsoft Office. · Engineering degree, technical degree, or equivalent field experience preferred. We offer a competitive benefits package including: • PTO, • 401(k) Matching, • 9 Paid Holidays, • Bonus Plan, • Company truck/fuel card, • Employee Referral program, • 8-hour Shift, overtime available, • EAP/Wellness Program, • Health/Dental/Vision Insurance, • Trainings If you are a self-motivated individual with a passion for providing exceptional HVAC services, we encourage you to apply for this position. Come join a winning team while working for a company with whom you can retire from! EEO

Job Description POSITION PURPOSE Reporting to the Unit Sales Manager, Balticare Inc., the Senior Sales Engineer is responsible for all activities related to achieving sales targets and implementing the marketing strategy with his or her assigned consulting engineering firms, owners and contractors for equipment sales. The Senior Sales Engineer influences consulting engineering firms, owners and contractors, and assists them in applying products represented by Balticare to best meet the end-user customers’ needs, resulting in revenue generation. In addition, the position provides input and participates in the marketing, market planning and technical development of products and services in the New York City marketplace. KNOWLEDGE & SKILLS • Fully competent and experienced in the areas of capital sales, marketing, and lead generation with consulting engineering firms, contractors, and owners in the HVAC marketplace., • Five (5) years minimum of direct sales experience selling to the HVAC engineering and contracting community in the New York City marketplace., • A Bachelor of Science in Mechanical Engineering or other engineering discipline is required., • Requires excellent technical, organizational, communication, and customer problem resolution skills., • Ability to interact with many different types of individuals, including executives, engineers, analysts, and other business professionals., • Must be a consummate professional and self-starter with the ability to work independently both and in a team environment., • Must have excellent communication skills both verbally and in written form with the ability to effectively communicate ideas at all levels of the organization NATURE & SCOPE The Senior Sales Engineer will report to the Unit Sales Manager, Balticare, Inc, and will provide leadership and oversight of all sales and marketing initiatives for assigned accounts. PRINCIPAL ACCOUNTABILITIES • Generates sales of equipment and controls for products represented by Balticare to assigned building owners and contractors to meet fiscal year sales and margin goals, • Generates basis-of-design and preference for product lines represented by Balticare to assigned consulting engineering firms, building owners and contractors, • Maintains existing relationships and develops new relationships with consulting engineering firms, building owners and contractors, • Establishes and maintains relationships with industry influencers and key strategic partners., • Designs and executes marketing and educational training modules to consulting engineering firms and contractors., • Oversees the preparation of proposals of projects from consulting engineering firms, owners and contractors., • Oversees the execution of Purchase Orders by ensuring the timely release of orders to vendors, approval of equipment submittals, communication of equipment shipment details and completion of start-up and owner training, • Manages large strategically significant projects in assigned region., • Tracks and reports local market conditions and competitive activities., • Identifies and fulfills tactical marketing requirements., • Promote BAC through customer and industry organization presentations such as actively participating in local ASHRAE chapters, • Identifies and communicates product needs based on feedback from Customers., • Assists in administration of warranty and commercial terms requirements., • Monitors competitor products, sales and marketing activities. ADDITIONAL RESPONSIBILITIES • Mentors and develops other sales staff as required, • Supports factory visits requests by engineering consulting firms, building owners and contractors WORKING CONDITIONS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to stand and walk up to 20% of the time. Working conditions include those of an office environment. This position requires occasional lifting of up to 30 lbs, and travel up to 60% of the time. Qualifications Education Required Bachelors or better in Engineering Experience Required 5 years: Direct sales experience selling to the HVAC engineering and contracting community in the New York City marketplace. BAC Hiring Compensation Range $118,080 - $202,680 Balticare offers a comprehensive benefits package to include medical, dental, vision, paid time off, 401k, employee stock ownership plan, and more. Please see additional details on the BAC website at www.Baltimoreaircoil.com. Balticare Employees are eligible to participate in an annual bonus incentive program.

Job Description Enterprise Sales Executive — BI, Analytics & Data Governance | NY Metro | $150K–$180K Base / $300K–$360K OTE - 27778678 We're partnering with a high-growth technology company to find a seasoned Enterprise Sales Executive for their New York Metro territory. This is a pure hunting role — new logos, C-level relationships, and enterprise-sized deals — backed by a BDR team, a dedicated Sales Engineer, and a product portfolio squarely in the middle of where enterprise technology spending is accelerating: Business Intelligence, Data Governance, AI-powered Analytics, and Data Connectivity. If you've spent your career selling data and analytics software into large enterprises and you're tired of waiting for accounts to be handed to you, this is worth a conversation. What You'll Be Doing • Owning the NY Metro territory end-to-end — hunting new logos across enterprise accounts with $1B+ in annual revenue, • Carrying a quota of $1.5M–$2M with the tools to hit it: BDR support, Sales Engineer partnership, and a compelling product story, • Calling at the C-suite level — CIOs, CDOs, CTOs, and the business leaders who own analytics and data strategy, • Selling into organizations that are actively investing in BI ecosystems, data management platforms, ETL/ELT modernization, and AI governance, • Building and leveraging your existing rolodex to accelerate pipeline from day one What We're Looking For • 5+ years of enterprise software sales experience — 8–10 years is strongly preferred, • Demonstrated track record as a hunter — you open new accounts, not just manage existing relationships, • Background selling into the data and analytics stack: database software, analytics platforms, Business Intelligence, ETL, or AI-powered data tools, • Experience with enterprise accounts at the $1B+ revenue level — you know how these organizations buy and how long it takes to earn their trust, • Currently based in NY Metro — New York City, New Jersey, Connecticut, or Long Island; must be able to get into the metro area a couple of days per week, • A portable book of relationships and the credibility to use it Backgrounds We Love to See Candidates with sales experience at companies like ThoughtSpot, Qlik, AtScale, Cloudera, Teradata, Alteryx, Tableau, Sisense, or Snowflake are a strong match. If you've been selling data management, analytics platforms, BI software, or AI governance tools into enterprise accounts, we want to hear from you. Compensation & Benefits Component Details Base Salary $150,000 – $180,000 On-Target Earnings $300,000 – $360,000 Equity RSUs 401(k) Company matching Draw $30,000 non-recoverable draw available Quota $1.5M – $2M Territory New York Metro Travel ~30% This Role Is Not For You If... • You're an account manager looking for a relationship-management seat — this is a new business hunting role, • Your entire background is in large, slow-moving enterprise organizations without a track record of opening new accounts, • You have a history of short tenures — stability and territory ownership matter here, • You're outside of NY Metro or require relocation This is an expansion role at a company with an established enterprise customer base, proven product-market fit in the data and analytics space, and a comp plan built to reward closers. The territory is yours to build. ???? Send your resume to cube21@cubemanagement.com This search is being conducted by Cube Management on behalf of our client. The company name will be shared with qualified candidates.

Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit www.h2o.ai. About This Opportunity We are looking for a Senior Sales Engineer - AI to join our team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey. This position is based in New York. What You Will Do • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals., • Execute high-impact proof of value that moves beyond technical feasibility to demonstrate ROI, such as cost per token or measurable accuracy gains in production using H2O AI Enterprise Platform: Predictive, Generative, and Agentic AI, • Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)., • Showcase hands-on expertise with LLMs: fine-tuning, evaluations, RAG, and Agentic pipelines., • Design and build sophisticated Agentic Workflows, beyond simple RAG to multi-agent systems that can reason, use tools, and execute complex business logic autonomously., • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem., • Architect integrated solutions that leverage the full H2O stack: using Driverless AI for predictive features, h2oGPTE for unstructured data synthesis, • Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure their applications are production-ready., • Work closely with Product Management to influence the product roadmap based on customer and field insights., • Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.What We Are Looking For, • 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms., • Hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms., • Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration., • Master the art of technical storytelling, the ability to whiteboard a complex Kubernetes deployment for an IT Director, then pivot to explaining the risk-mitigation benefits of 'Guardrails' to a Chief Risk Officer., • Excellent presentation and communication skills: confident in front of C-level executives and technical teams., • Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus., • Willingness to travel up to 50% to support strategic accounts.How to Stand Out, • Experience running POCs, pilots, and executive workshops that accelerate AI adoption., • Familiarity with enterprise security, compliance, and governance in AI deployments., • Demonstrated thought leadership (talks, blogs, open-source contributions)., • Vertical domain expertise (e.g., BFSI, telco, pubic sector, manufacturing, retail). Why H2O.ai? • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team, • Career growth H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit www.H2O.ai to learn more. #LI-Hybrid Powered by JazzHR e0ReZA0xCQ

Job Description As a Forward Deployed Accountant (FDA), you’ll play a pivotal role in driving adoption, expansion, and technical success for FloQast’s Transform product line. You’ll work directly with enterprise customers — and occasionally select corporate accounts — to deploy AI Agents, resolve complex technical challenges, and ensure customers realize measurable ROI through automation. This is a high-impact, customer-facing role designed for technical implementers who thrive at the intersection of technology, consulting, and customer success. As part of the founding FDA cohort, you’ll be instrumental in defining the blueprint for how FloQast scales Transform adoption across our enterprise customer base. *Visa sponsorship is NOT available at this time What You'll Do: • Build and deploy AI Agents that automate low to medium-complexity accounting workflows for corporate accounting teams, ensuring accurate configuration, testing, and documentation., • Enable corporate accounting teams to build and deploy AI Agents by delivering structured training, hands-on workshops, guided build sessions, and office hours, while supporting customers in identifying automation opportunities, assessing use case feasibility, and use case scoping., • Accelerate adoption across corporate accounting teams by leading enablement sessions and ongoing coaching that help users build confidence in designing, deploying, and maintaining their own AI Agents., • Perform basic troubleshooting by reviewing Agent configurations, validating inputs and outputs, and coordinating escalation with technical or integration resources as needed., • Support product improvement by sharing customer feedback and observations, participating in feature testing, and identifying usability gaps or enhancement opportunities., • Guide partner-led implementations by working closely with partner consultants, ensuring adherence to internal delivery guidelines, and delivering training to develop partner proficiency., • Travel as needed (up to 30%) to customer sites for hands-on deployment, training, and adoption workshops., • Lead internal enablement sessions by training team members on Transform’s Agent-building tools, sharing technical best practices, and equipping them to confidently support customers in building and deploying AI Agents.What You'll Bring:, • 4+ years of experience in accounting, audit, or accounting operations roles, with strong familiarity with core workflows such as reconciliations, journal entries, variance reviews, and month-end close activities., • Background in accounting required, CPA preferred. Experience in public accounting, audit, or corporate accounting is strongly preferred., • Familiarity with workflow automation, system optimization, or technology-enabled accounting processes., • Familiarity with data-flow, API, and integration concepts commonly used in accounting system., • Strong communication skills to lead training sessions, workshops, and guided build sessions with corporate accounting teams., • Ability to break down complex accounting processes and convert them into structured automation steps, • Strong organizational skills to manage training schedules, documentation, and customer enablement activities., • Willingness to travel for corporate customer training, workshops, and enablement engagements.Nice to Haves:, • CPA or degree in Accounting or Finance, • Experience in Professional Services, Finance Transformation, or Process Optimization, ideally serving accounting or audit functions., • Experience with ERP systems (e.g., NetSuite, Intacct, Microsoft Dynamics) and accounting close processes, • Familiarity with AI or automation platforms: LLM-based agents, RPA tools (e.g., UiPath), or AI workflow builders, • Previous roles similar to Forward Deployed Engineer, Resident Consultant, or Embedded Solutions Architect, • Experience designing or maintaining SQL-based reporting, and configuring API integrations between finance or operational systems, • Strong business acumen with the ability to translate accounting/operational requirements into scalable technical workflows, • Background in SaaS platforms focused on finance transformation, compliance, or accounting automation#LI-LB1#LI-hybrid#BI-hybrid The base pay range for this position is $89,600- $134,400. This position is eligible for a commission plan in addition to base pay. Compensation is not limited to base salary. FloQast values our Total Rewards, and offers a competitive and elaborate Benefits Package including, but not limited to, Medical, Dental, Vision, Family Forming benefits, Life & Disability Insurance, and Unlimited Vacation. FloQast reserves the right to amend, change, alter, and revise pay ranges and benefits offerings at any time. All applicants acknowledge that by applying to this position you understand that this specific pay range is contingent upon meeting the qualifications and requirements of the role, and for the successful completion of the interview selection and process. It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role. About FloQast:FloQast is the leading AI-powered Accounting Transformation Platform, uniquely built by former accountants for accountants. We automate complex, recurring accounting workflows—transforming preparers into strategic reviewers and relieving accountants from tedious manual work. Our cloud-based solution is trusted by over 3,500 world-class accounting teams, including Lululemon, Doordash, and the MLB, to drive collaboration and financial accuracy. Driven by a mission to continuously elevate the profession, FloQast is redefining both the practice and the perception of accounting on a global scale. Our values act as a guiding compass, shaping every decision we make, and are non-negotiable, particularly in our hiring process. Alongside our employees, partners, and customers, we embody these values every day:Unwaveringly Authentic Ambitious with IntegrityEmpowered to GrowCommitted to CollaborationCustomer Obsessed in All Ways FloQast is regularly rated as a Best Place to Work!- Inc. Magazine’s Best Workplaces in 2025, 2024, 2023, 2022, and 2021- Best Places to Work by LA Business Journal since 2017 (that’s 9 years!)- Built In’s Best Place to Work in Los Angeles 7 years in a row! Because we are Customer Obsessed in All Ways, check out what our customers have to say about FloQast on G2 Crowd. If this aligns closely with what you are looking for, hit “Apply” and come join our growing team! FloQast, Inc is committed to operating fair and unbiased recruitment procedures allowing all applicants an equal opportunity for employment, free from discrimination on the basis of religion, race, sex, age, sexual orientation, disability, color, ethnic or national origin, or any other classification as may be protected by applicable law. We aim to recruit the right people for the jobs we have to offer, and to assess applications on the basis of relevant skills, education, and experience. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and strive to provide a professional and welcoming workplace for all employees. Link to FloQast Recruiting AI Usage Policy 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 As a Senior Forward Deployed Accountant (FDA), you’ll play a pivotal role in driving adoption, expansion, and technical success for FloQast’s Transform product line. You’ll work directly with enterprise customers — and occasionally select corporate accounts — to deploy AI Agents, resolve complex technical challenges, and ensure customers realize measurable ROI through automation. This is a high-impact, customer-facing role designed for technical implementers who thrive at the intersection of technology, consulting, and customer success. As part of the founding FDA cohort, you’ll be instrumental in defining the blueprint for how FloQast scales Transform adoption across our enterprise customer base. *Visa sponsorship is NOT available at this time What You'll Do: • Architect, deploy, and operationalize AI Agents that automate complex accounting processes to streamline accounting operations, strengthen internal controls, and accelerate financial processes., • Lead high-impact transformation engagements with enterprise accounting teams to diagnose operational bottlenecks, evaluate financial processes, and identify opportunities to automate accounting workflows with AI Agents., • Drive enterprise adoption and expansion by engaging directly with CFOs, Controllers, and other stakeholders in the accounting organization, and guiding these teams through workflow redesign, change management, and the value realization required to scale adoption of AI Agents across their organization., • Perform deep technical troubleshooting, including reviewing and editing Python scripts, writing SQL queries for integrations, and diagnosing configuration issues across systems., • Serve as both the functional and technical escalation point for complex issues involving integrations, data flows, and automation logic. This includes reviewing and optimizing SQL-based validations, API-driven workflows, and integration configurations., • Collaborate closely with Customer Success and Account Management teams to identify low-adoption or at-risk enterprise accounts. Design structured recovery plans, re-engage stakeholders, and deliver targeted adoption programs centered around successful AI Agent deployment and improved business outcomes., • Influence the product direction by delivering actionable insights to Product, participating in early feature evaluation, and collaborating on strategic initiatives that advance Transform’s roadmap and long-term growth., • Provide leadership, oversight, and quality assurance for implementation partners to ensure consistency, accuracy, and compliance with Transform’s methodology across complex enterprise projects., • Travel as needed (up to 60%) to customer sites for hands-on deployment, training, and adoption workshops., • Serve as a trusted advisor and ambassador of the Transform product line. This includes educating customers and internal team members on the strategic value of AI-enabled accounting transformation, best practices in AI Agent buliding, and best practices for sustainable operational improvement.What You'll Bring:, • 8+ years of experience in accounting, auditing, controllership, or finance consulting, including experience in Accounting Manager or Controller roles, with a deep understanding of core accounting operations., • Background in accounting or finance required — CPA preferred, or equivalent experience in public accounting, audit, or accounting leadership within a corporate environment., • Proven ability to evaluate, design, and deploy workflow or process automation within accounting or finance environments (close, consolidation, or reporting)., • Strong technical foundation and working knowledge of SQL, APIs, and data flow concepts, • Ability to troubleshoot, debug, and optimize issues across integrations, data pipelines, and automation workflows, • Skilled in leading working sessions with Controllers, Accounting Managers, or RevOps teams, • Strong abilities to synthesize complex problems into actionable solutions for technical and non-technical audiences, • Highly collaborative with cross-functional teams, including Product, Engineering, Sales, and Customer Success, • Ability to travel to lead customer engagements, onsite configuration, and adoption workshops.Nice-to-haves:, • CPA or degree in Accounting or Finance, • Experience in Professional Services, Finance Transformation, or Process Optimization, ideally serving accounting or audit functions., • Experience with ERP systems (e.g., NetSuite, Intacct, Microsoft Dynamics) and accounting close processes, • Familiarity with AI or automation platforms: LLM-based agents, RPA tools (e.g., UiPath), or AI workflow builders, • Hands-on experience with basic scripting (e.g., Python or JavaScript), • Previous roles similar to Forward Deployed Engineer, Resident Consultant, or Embedded Solutions Architect, • Experience designing or maintaining SQL-based reporting, and configuring API integrations between finance or operational systems, • Strong business acumen with the ability to translate accounting/operational requirements into scalable technical workflows, • Background in SaaS platforms focused on finance transformation, compliance, or accounting automation#LI-LB1#LI-hybrid#BI-hybrid The base pay range for this position is $132,000- $198,000. This position is eligible for a commission plan in addition to base pay. Compensation is not limited to base salary. FloQast values our Total Rewards, and offers a competitive and elaborate Benefits Package including, but not limited to, Medical, Dental, Vision, Family Forming benefits, Life & Disability Insurance, and Unlimited Vacation. FloQast reserves the right to amend, change, alter, and revise pay ranges and benefits offerings at any time. All applicants acknowledge that by applying to this position you understand that this specific pay range is contingent upon meeting the qualifications and requirements of the role, and for the successful completion of the interview selection and process. It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role. About FloQast:FloQast is the leading AI-powered Accounting Transformation Platform, uniquely built by former accountants for accountants. We automate complex, recurring accounting workflows—transforming preparers into strategic reviewers and relieving accountants from tedious manual work. Our cloud-based solution is trusted by over 3,500 world-class accounting teams, including Lululemon, Doordash, and the MLB, to drive collaboration and financial accuracy. Driven by a mission to continuously elevate the profession, FloQast is redefining both the practice and the perception of accounting on a global scale. Our values act as a guiding compass, shaping every decision we make, and are non-negotiable, particularly in our hiring process. Alongside our employees, partners, and customers, we embody these values every day:Unwaveringly Authentic Ambitious with IntegrityEmpowered to GrowCommitted to CollaborationCustomer Obsessed in All Ways FloQast is regularly rated as a Best Place to Work!- Inc. Magazine’s Best Workplaces in 2025, 2024, 2023, 2022, and 2021- Best Places to Work by LA Business Journal since 2017 (that’s 9 years!)- Built In’s Best Place to Work in Los Angeles 7 years in a row! Because we are Customer Obsessed in All Ways, check out what our customers have to say about FloQast on G2 Crowd. If this aligns closely with what you are looking for, hit “Apply” and come join our growing team! FloQast, Inc is committed to operating fair and unbiased recruitment procedures allowing all applicants an equal opportunity for employment, free from discrimination on the basis of religion, race, sex, age, sexual orientation, disability, color, ethnic or national origin, or any other classification as may be protected by applicable law. We aim to recruit the right people for the jobs we have to offer, and to assess applications on the basis of relevant skills, education, and experience. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and strive to provide a professional and welcoming workplace for all employees. Link to FloQast Recruiting AI Usage Policy 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.

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

We are The Lighthouse within KPMGs Consulting practice. We tap into the power of emerging technologies and scientific breakthroughs to create solutions and products that address the largest and most complex issues faced by global companies. By blending technology with our industry expertise, were able to harness the potential of Cloud, AI, ML, IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of business problems. Work with confidence knowing your ideas are heard and backed by one of the worlds top professional services firms. Spark your curiosity and ignite your career at The Lighthouse. KPMG is currently seeking a Senior Associate, Data Engineer for our Consulting practice. Responsibilities: Assist with technical design and development activities and lead a small workstream for implementation of large-scale data solutions in Databricks to support multiple use cases (delta lake, reporting and analytics, AI/ML) Support design and development of technology and data architectures to support client solutions leveraging best practices for cloud data warehouse migrations Capture and translate business and technical requirements, perform hypothesis-driven consulting and lead project management and client relationship development Translate advanced business data, integration and analytics problems into technical approaches that yield actionable recommendations, across multiple, diverse domains; communicate results and educate others through design and build of insightful visualizations, reports and presentations Exhibit strong knowledge of the Databricks ecosystem and can clearly articulate the value proposition of cloud modernization/transformation to a wide range of stakeholders Qualifications: Minimum three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI / ML engineer; preferably Databricks certified Bachelor's degree in Engineering, Information Technology, Computer Science or a related field from an accredited college/university Experience in leading projects relating to cloud modernization, data migration, data warehousing experience with cloud-based data platforms (Databricks) and experience with (preferably driving) technical workshops with technical and business clients to derive value added services and implementations Hands-on working knowledge of topics such as data security, messaging patterns, ELT, Data wrangling and cloud computing and proficiency in data integration/EAI and DB technologies, sophisticated analytics tools, programming languages or visualization platforms; experience designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP; hands-on technical experience with SQL and Apache Spark Strong verbal/written communication skills with ability to effectively interact with individuals at most levels of responsibility and authority; preferably will be able to prioritize, delegate and foster the development of high-performance teams to lead/support an environment driven by customer service and teamwork Highly analytical and detail oriented; highly motivated with strong sense of urgency; quick learner and builds skills in technical areas which support the deployment and integration of Databricks-based solutions to drive customer projects Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future and travel as needed KPMG LLP and its affiliates and subsidiaries (KPMG) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: California Salary Range: $94430 - $202745 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking a Lead Engineer, Network Security Platform to join our Digital Nexus technology team. Responsibilities: Assist in the development of technology architecture product roadmaps andmaintainexisting roadmaps; evaluate the current network security architecture and develop action plans to make necessary improvements in line with industry best practices and standards, as well as provide inputon the overall technology plan for the organization, ensuring specific technologies (Zscaler, GCP, Palo Alto) integrate effectively with other aspects of the technical infrastructure and ecosystem Maintain deep technical and business knowledge of current industry directions and trends; work to deliver technology and products in the roadmap on schedule and with the highest quality Provide advice, guidance, and direction to carry out plans and procedures; ensure product development process adherence, performance and budget targets are met; offer last tier support for operations and support teams, including root cause analysis and preventative analysis; establish network environments by designing system configuration, and direct system installation by defining, documenting, and enforcing system standards Offer last-tier support for operations and support teams, including root cause analysis and preventative analysis; provide training and guidance to other members of the Network team Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: Minimum five years of recent experience with Web proxy products like ZScaler, Palo Alto Prisma and other competitive vendor products, cloud Environments like Azure, GCP; deep level of expertise with Palo Alto firewalls including physical (Strata) and virtual (VM-Series) form factors, Panorama management, and Prisma Access/SaaS security Bachelor's degree from an accredited college or university is preferred; minimum of a high school diploma or GED is required Hands-on experience in Google Cloud Platform (GCP) engineering, specifically focused on VPC design, Cloud Armor, and integrating security appliances within a cloud-native environment and proven experience in Zscaler platform engineering, including the design, implementation, and management of Zscaler Internet Access (ZIA) and Zscaler Private Access (ZPA) solutions Strong background in network automation and "Infrastructure as Code" (such as Terraform, Ansible) to streamline firewall and proxy deployments Excellent verbal/written communication, with ability to effectively interact with individuals at all levels of responsibility and authority; ability to prioritize, delegate and foster the development of high-performance teams to lead/support an environment driven by customer service and teamwork; strong trouble-shooting and organizational skills and ability to work on multiple projects simultaneously; ability to participate in resource planning processes based on defined organizational plans Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job Description About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role Physical AI is our fastest-growing segment. Over the past 12 months, we've grown Physical AI revenue 10x. The companies building the next generation of robotics, autonomous vehicles, and intelligent physical systems have a data problem — and Encord is the only full-stack solution built to solve it. We're now building the founding sales team that will take this to market. This is a full-cycle commercial closing role on the ground floor of one of the most consequential verticals in AI. You'll own pipeline generation through close, selling into the world's most advanced Physical AI teams — robotics companies, autonomous vehicle programs, and research-driven enterprises like Boston Dynamics and Dyna. By day 30, you will have identified target accounts and booked meetings; by day 90, you will have closed your first pilot with a robotics or AV firm. You'll report to the Head of Physical AI and work in close partnership with our founders and GTM leadership. Pipeline generation support is in place. Your job is to run deals with conviction and build the kind of customer relationships that compound over time. This is not a role for someone who wants a defined playbook handed to them. It's a role for someone who wants to help write it. What you’ll do Own the full sales cycle end-to-end, from outbound through close, with pipeline generation support Sell into Physical AI teams across robotics, autonomous vehicles, and research applications — from high-growth startups to large-scale enterprise programs Build deep relationships with technical and executive buyers: heads of autonomy, VP AI, ML engineering leaders, and data operations teams Develop a sharp point of view on the Physical AI landscape — understanding where customer pain is sharpest and how Encord's platform delivers measurable impact Partner closely with Product, Engineering, and Customer Success to bring customer insight back into the roadmap Help sharpen the ICP as we expand into new Physical AI use cases and geographies Forecast accurately, maintain pipeline discipline, and operate with the rigor of someone building something that will outlast them Who we’re looking for A consistent top or near-top performer in your current or most recent sales role Comfortable selling technically complex solutions to skeptical, STEM-trained buyers — you don't need to be an engineer, but you can hold the room with one Energized by ambiguity and early-stage environments where you have real ownership and real accountability A natural relationship builder who earns trust through preparation, follow-through, and genuine curiosity about customer problems Entrepreneurial by disposition — you see gaps as opportunities, not blockers Resilient, high-output, and genuinely motivated by the quality of your work Experience requirements 3 to 7 years in a B2B SaaS or enterprise technology sales role, with a track record of hitting or exceeding quota Experience selling to technical audiences — ML, data, or engineering teams — is a strong advantage Familiarity with data infrastructure, AI tooling, robotics, or autonomous systems is a plus, not a prerequisite; what matters is how fast you ramp and how deep you go Exceptional candidates from outside traditional SaaS sales will be considered: if you've performed at the top of a demanding, competitive field and can demonstrate it, we want to hear from you Why Encord Competitive salary, commission, and meaningful equity in a high-growth startup Clear, accelerated growth opportunities as the company scales rapidly Strong in-person culture: 4 days/week in our newly launched NYC office Flexible PTO to fully recharge 18 paid vacation days in the U.S. plus federal holidays Annual learning & development budget Comprehensive health, dental, and vision coverage Frequent travel opportunities across the U.S., London, and Europe Bi-annual company offsites, twice-weekly team lunches, and monthly socials

A technology company in San Francisco seeks a Forward Deployed Engineer to lead AI-driven enterprise solutions. Responsibilities include developing production-ready systems and collaborating with research teams to meet customer needs. Ideal candidates will have a strong software engineering background, experience with cloud deployments, and a passion for innovative AI solutions. Competitive salary, equity, and comprehensive benefits are offered.#J-18808-Ljbffr

NEW Forward Deployed Engineer Opportunity in NY! This Jobot Job is hosted by: Audrey Block Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $200,000 per year A bit about us: We are a legal tech company based in LA. We are hiring a few Forward Deployed Engineers to join the team. Please apply if you fit most of the criteria! Why join us? Competitive compensation Equity + benefits Gym membership Highly collaborative team Tons of opportunity for growth Job Details Job Details: Are you an innovative, dynamic, and results-driven engineer with a passion for technology and problem-solving? We are on the hunt for a full time, Forward Deployed Engineer to join our tech startup. Our ideal candidate will have a strong background in providing customer solutions, working with AI, and a deep love for all things tech. You will be at the forefront of our operations, working directly with our clients to deliver top-notch tech solutions that drive their business forward. Responsibilities: As a Forward Deployed Engineer, your main responsibilities will include: 1. Collaborating with our clients to understand their needs and develop tailored tech solutions that address their challenges and drive their success. 2. Leveraging your expertise in AI to develop innovative solutions that push the boundaries of what's possible. 3. Partnering with a team member who will provide the legal aspects of tech, ensuring our solutions are compliant with all relevant laws and regulations. 4. Providing exceptional customer service, working closely with our clients to ensure their needs are met and their expectations are exceeded. 5. Continually staying up-to-date with the latest tech trends, using your knowledge to keep us at the forefront of the industry. Qualifications: To be considered for the role of Forward Deployed Engineer, you must have: 1. A minimum of 3 years' experience in a similar role, with a proven track record of success. 2. Extensive experience in providing customer solutions, with a focus on delivering exceptional service. 3. Strong knowledge of AI and its applications in the tech industry. 4. A passion for technology, with a commitment to staying up-to-date with the latest trends and developments. 5. Excellent communication skills, with the ability to explain complex tech concepts in a way that's easy for our clients to understand. 6. Strong problem-solving skills, with the ability to think outside the box and develop innovative solutions to our clients' challenges. 7. A degree in Computer Science, Engineering, or a related field. Apply today to join our team as a Forward Deployed Engineer! Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Media DevOps Engineer Fox Corporation is looking for an Media DevOps Engineer to join our Direct To Customer Platforms & Engineering team. Our premiere platforms are the digital foundation of all Fox brands and their Web/Mobile/OTT properties. We love what we do and we're looking for passionate, talented people to help us lead, grow and achieve our goals. Joining Fox Corporation is a singular opportunity to be part of a highly successful, dynamic team that has transformed the way people get their information. As an Media DevOps Engineer, you will manage the scalable and resilient AWS cloud foundation for our media asset management and video delivery infrastructure. You will collaborate with Engineering teams on the architecture, automation, and operational performance of the digital media supply chain, supporting Fox's large-scale, public-facing digital infrastructure for major events such as the World Series, FIFA World Cup, and Super Bowl. A SNAPSHOT OF YOUR RESPONSIBILITIES Design, build, and maintain secure, highly available cloud infrastructure on AWS with a strong focus on EKS, supporting media ingest, storage, processing, and delivery workflows Develop and integrate automation tooling to improve CI/CD pipelines, capacity provisioning, cost efficiency, and performance across media workloads Implement and refine observability, alerting, and on-call escalation workflows to maximize uptime for time-sensitive live and VOD events Develop, maintain and execute Apache Jmeter performance test scripts to assess load and performance issues Partner with Media Services, Platform, and Product teams in an Agile environment to deliver infrastructure that supports the full media asset lifecycle WHAT YOU WILL NEED Hands-on experience building and managing large-scale production application infrastructure on AWS, leveraging services such as EKS, ECS, Opensearch, IAM, API Gateway, S3, DynamoDb, RDS, SQS, VPC, EC2, service mesh, and Lambda Proficient with Infrastructure as Code tools such as Terraform, CloudFormation, and Ansible Hands-on experience building and maintaining infrastructure automation pipelines using tools such as Github Actions and Jenkins Experience with serverless computing and with containerization technologies, including Docker, Fargate, ECS, and Kubernetes Hands-on experience with Google Cloud Platform, Grafana Cloud, ArgoCD, MongoDB Atlas, AWS Distributed Load Testing Experience working and developing on *nix environments Experience with scripting languages such as Bash, Python, Nodejs Strong understanding of DNS, HTTP, TCPDUMP, CDNs, SSL, WAFs, Git, and networking concepts (VPC, subnetting, ZeroTrust, NAT, etc). Experience with AI/ML technologies is a plus Strong interpersonal, communication skills and passion for learning Working conditions Hybrid position with regular working hours and rotating on-call responsibility We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law. Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $128,000.00-180,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.

Data & AI Engineer As a Data & AI Engineer, you'll build and deploy modern data pipelines and generative AI solutions on AWS from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready. What You'll Do: Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR Creating and maintaining data extraction, transformation, and loading processes Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB Implementing data lakes using S3 and related AWS services Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex Writing and testing SQL queries and stored procedures Documenting technical solutions and providing knowledge transfer to customers Supporting the implementation of data governance and security controls Troubleshooting and resolving issues with data pipelines and AI services Participating in code reviews and implementing feedback Assisting with proof-of-concept implementations for customer engagements Required Skills: 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development 2+ years of hands-on AWS experience with production deployments 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents) Proven track record delivering production AI applications from concept to deployment Strong understanding of software engineering best practices (version control, testing, code review, documentation) Experience working in agile/scrum environments with distributed teams Excellent problem-solving skills and ability to work independently with minimal supervision Strong written and verbal communication skills for client-facing interactions Preferred: Technical familiarity with AWS data and AI/ML services and modern data engineering practices Hands-on experience with ETL/ELT processes and data transformation Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks Ability to write and optimize SQL queries across various database platforms Knowledge of data modeling concepts and best practices Strong analytical and problem-solving skills Eagerness to learn new technologies and keep up with cloud and AI innovations Excellent communication skills with the ability to explain technical concepts clearly Attention to detail and commitment to solution quality Collaborative mindset with strong teamwork capabilities Experience or interest in automation and infrastructure as code $100,000 - $160,000 a year The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training.

Field Engineer Contract/ Contract to Hire Elmhurst, NY IT Infrastructure Support IMAC (Install, Move, Add, Change) Operations Hardware & Software Troubleshooting Customer Service & Technical Support Technical Documentation & Reporting Key Responsibilities: Provide operational support and IMAC (Install, Move, Add, and Change) services for IT infrastructure in office environments, reservation centers, and airport locations. Deliver exceptional customer service and technical support during field visits and dispatch assignments. Diagnose hardware, software, and network-related issues and implement appropriate solutions. Produce timely, accurate, and detailed service reports. Document processes, procedures, and technical resolutions. Collect and analyze performance data to provide technical assistance and continuous improvement recommendations. Coordinate workflow activities to meet established schedules and service levels. Accurately document solutions for complex technical issues. Develop workaround procedures when standard processes are unsuccessful and ensure timely issue resolution. Troubleshoot and resolve software configuration, installation, and setup-related issues for field engineers, technicians, and end users. Build and maintain positive customer relationships through professional communication and support. Safely use ladders and perform physical tasks required to support IT equipment installations and maintenance. Qualifications: Experience providing desktop, field, or technical support services. Strong troubleshooting and problem-solving skills. Excellent verbal and written communication abilities. Ability to work independently and manage multiple priorities. Experience documenting technical issues and resolutions. Ability to lift equipment and safely use ladders as required. 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

Sales Engineer We are seeking a Sales Engineer to join our team! This person will be required to have significant interaction and consultation with customers and must have a solid understanding of the sales cycle, as well as experience working with the Sales teams throughout the process. Sales Engineers and their Account Managers will be placed in situations to uncover and develop new areas of business and relationships. Responsibilities: The Sales Engineer must be able to work closely with the Account Manager(s) and Regional Director to develop business and technical strategies that can help ensure the best chance to win business. Investigate the prospect's needs and assist in developing a strategy to win business Assist the Sales Teams in making tactical decisions regarding the sale. Identify compelling events or specific business problems and offer attractive solutions to the client. Provide specialized technical support to the prospect/customer using best practices techniques along with other available resources provided to the Sales Engineering group. Account responsibility for all lead technical activities. This includes building relationships across customers' IT silos to document their infrastructure, understand their challenges, and seek out potential projects. The Sales Engineer will directly assist Sales teams in achieving financial targets via the sales process and help sales in accurately assessing and forecasting opportunities. Must be able to create and deliver PoCs, manage competitive Bakeoffs, prepare for and run initial and subsequent onsite presentations or host remote presentations using WebEx or Meeting Place, ability to perform canned or live product demonstrations of system capabilities and benefits for customer meeting, show ability to lead whiteboard discussions, etc., to best present solutions in the best possible light for customers, resellers, integrators, etc. The ideal candidate has an extensive background in both management and sales, excellent communication skills, and strong problem-solving skills. Responsibilities: Monitor the day-to-day activities of the sales team Provide guidance and help with difficult sales situations Participate in brainstorming sessions to generate new leads, sales initiatives, and sales opportunities Conduct performance reviews and disciplinary actions, as needed Interview, hire, and train new staff members Work closely with multiple departments and maintain strong relationships and lines of communication Qualifications: Extensive sales and management experience desired Strong communication and interpersonal skills The ability to multitask and shift priorities as needed Demonstrated ability to lead a team to success Experience using basic computer programs, such as the Microsoft Office suite Flexible work from home options available. Compensation: $140,000.00 - $175,000.00 per year

Applied AI Lab Job Opportunity We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first stepour hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us. About the Role As an Account Director, you will be responsible for sourcing, closing and activating enterprise customers, while providing critical product feedback to the Cognition team. You will be a crucial contributor to Cognition's revenue growth and Devin's development. You'll work closely with the whole Cognition team including engineering, product and go-to-market to accelerate the sales cycle and help build one of the fastest-growing AI startups. Successful candidates will have deep experience selling highly technical solutions to businesses, have experience with software engineering and exhibit the drive and grit required to win consistently in a fast-paced, high-intensity environment. In this role, you will: Drive revenue for Cognition, owning the entire sales cycle, from prospecting through close and activation for early stage through enterprise companies Navigate layered customer organizations including working directly with C-suite executives, Tech and AI leaders, procurement and legal stakeholders Develop strategies for sourcing, demoing the product, and closing opportunities with layered buying organizations Deeply understand the customer's technical pain points and priorities, and qualify the best use cases and teams to deploy Devin to large technology organizations Discover new use cases in our customers' Tech organizations and overshare customer feedback with our product and engineering teams Focus on results - generate pipeline, revenue, and help build the best technical sales organization to bring Devin to market Requirements for the role: Demonstrate a track record of success selling deeply technical products to enterprise customers You have technical experience - either as a software engineer, sales engineer or forward deployed engineer. If not, you have an exceptional ability to learn and understand the complex technical problems and requirements our customers are trying to solve using Devin Thrive in ambiguous and rapidly changing environments you're willing to move fast and quickly grow in scope and responsibility You have a demonstrated exceptional ability to learn You might excel if you previously founded a startup successfully sourced and closed large, complex enterprise software deals were a software engineer or sales engineer, or studied computer science, but moved into go-to market roles to be closer to the customer are a competitive, highly ambitious person who loves working in high-intensity environments Equal Opportunity Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.

Software Engineer - Full Stack New York, NY About the Company ResortPass is redefining what it means to be a hotel guest. We're building a new category in hospitality: day access to luxury hotel experiences from breathtaking pools and private beaches to deluxe spas and wellness recharges so people can escape without an overnight stay. Our marketplace now connects guests with 2,500+ partner hotels and resorts, including Ritz-Carlton, Four Seasons, Marriott Hilton, and more. We've helped millions of people enjoy premium hospitality close to home, making rest more mindful, togetherness more meaningful, and escape more accessible. The result: unforgettable experiences for guests and new revenue streams for partners. Backed by some of the best consumer and growth investors, including CRV, Declaration, Brian Kelly (The Points Guy), WME, FJ Labs, and more, ResortPass is scaling a product people love and creating an entirely new way to experience hospitality. Why ResortPass (Why Now) We've demonstrated product-market fit at scale, we're the category leader, growing fast, and on the brink of profitability. Yet the team is still small enough that an engineer can have outsized influence and broad exposure across the business. For context on scale: 5M+ customers served, 250K+ monthly users and growing, 800K app installs last year, and hundreds of millions of dollars generated for our hotel partners. About the Role We're hiring a Full Stack Engineer to help rebuild and level up our highest-traffic customer journeys: Search ? Details ? Booking ? Post-booking. You'll ship across frontend and backend, work closely with Product/Design, and help evolve the patterns we'll reuse across the marketplace for years. This is a rare chance to work on consumer growth problems with real scale, while still being early enough to own meaningful outcomes. You'll lead execution on scoped projects end-to-end, with strong support from senior and staff engineers on architecture and design decisions. This role will be in person at our energetic NYC headquarters. The base salary range is $160,000$180,000, plus equity, commensurate with experience. What You'll Do Own full-stack features across key marketplace flows (SRP, property details, booking, account), with measurable impact on conversion, performance, and reliability. Ship end-to-end: UI + API + data model changes + instrumentation/analytics + rollout + iteration based on results. Contribute to pragmatic patterns in a Next.js App Router codebase (routing, data fetching, caching, error handling, analytics). Partner with backend engineers on API contracts that make the UI fast and resilient (filtering, pagination, performance budgets, versioning/rollout patterns). Improve quality through testing and observability (Playwright, Datadog), and raise the bar through thoughtful code reviews. Partner with Product/Design to translate complex system states into clear, trustworthy UX. Strengthen operational readiness for critical workflows by improving dashboards, alerts, tracing, and lightweight runbooks. Tech Stack Frontend: Next.js, React, TypeScript, Tailwind, Shadcn Backend: Ruby on Rails, Node.js Data: Postgres, MongoDB Infra/Obs: AWS, Datadog Testing: RSpec, Playwright Who You Are We encourage candidates to apply even if they don't match every line below. 4+ years building production web / mobile applications (or equivalent impact). Comfortable across frontend + backend: you can navigate a Rails codebase and ship React / Flutter changes without hand-holding. Experience building APIs and working with databases (schema design, query performance basics). Product mindset: you care about UX details, performance, and measuring outcomes. Solid engineering habits: code quality, testing discipline, and attention to operational readiness. You're a good person. While building a startup is hard, being a good person is not. We are creating a culture of people with whom you would look forward to working. While we offer incredible experiences to our guests, it is just as important to us to foster an incredible culture for our employees. What Success Looks Like (612 Months) You've shipped multiple improvements to core journeys with measurable wins (conversion, speed, reliability). You're a go-to engineer for end-to-end execution across frontend + backend. You've helped establish reusable patterns (components, API shapes, caching/validation, analytics) that make the team faster. Benefits Health, Dental & Vision We're deeply invested in the health and well-being of our team and are proud to contribute to the monthly premiums of these insurance plans. Stock Option Plan We offer employees the opportunity to become part-owners in our mission. Let's redefine what it means to be a guest, together. 401(k) plan Save for your future with a 401(k) plan offering. Unlimited Paid Time Off (PTO) Enjoy life away from work to be inspired and fully recharge with unlimited paid time off. Paid parental leave Annual ResortPass credit Our mission is to bring delight and relaxation to people around the world; including our employees! Access private beaches, deluxe saunas, awesome pools, and much more with your annual credit.

Software Engineer (New Grad Program) Sigma unlocks the value of data by delivering cloud-scale analytics and business intelligence with the simplicity of a spreadsheet, complete with pivot tables and next generation dashboards. We empower business professionals, non-technical users, and data teams to quickly explore, analyze, visualize, and collaborate, leveraging all of their data across the organization. Our New Grad (Temp-to-Hire) Program at Sigma: Sigma's early career program is the launchpad for the next generation of engineers and innovators. As a Software Engineering New Grad at Sigma, you'll work on various production features and learn efficient engineering for large scalable systems. Our new grads work directly with our engineers, product leaders, and designers across the organization everyday. We're looking for recent graduates who bring curiosity, a spirit for collaboration, and a desire for shaping the future of business insights and data exploration. Note: Our New Grad Program is a temp-to-hire program. Participants will be hired in a 3 month temp role and converted to a FTE based on positive performance and evaluation. New Grad Program Qualifications: Authorization: You must be legally authorized to work in the US. Visa sponsorship is not available for our new grad positions. Location: Our new grad roles are in-person and located within San Francisco, CA or New York, NY. Relocation assistance will be provided for recent graduates who will need to relocate in the form of a relocation bonus. Applicants must be able to work in-person in our offices either in San Francisco or New York City for the duration of their 3 month internship. About the role: Sigma's Engineering organization is a dynamic, high performing team of Software Engineers who complement each other's skills. Our Engineers design, implement, and scale technical solutions that power our core product and enable our users to make data driven decisions in their businesses. As a Software Engineering New Grad, you will experiment, prototype, and implement features that help our global user base analyze and gather insights from their data. During your new grad program, you'll partner directly with your engineering mentor, as well as collaborate with other teams across the business. Our New Grad Program (Temp-to-Hire) is a direct pipeline into a full-time role and conversion will be available based on successful performance. From Product Designers, Product Managers, Sales, and, of course, actual users, you will collaborate across the company to determine the best solution for your technical challenge. New Grads will take their project from ideation through implementation, iterating and gathering feedback along the way. As a New Grad, you will deploy features and gather insights from customer metrics to aid you in making better development decisions and improve your business acumen. Note: Our New Grad Program is a temp-to-hire program. Participants will be hired in a 3 month temp role and converted to a FTE based on positive performance and evaluation. During your new grad program you will: Learn how to build production software and understand how large Single Page Applications are built and extended with the user experience top of mind Experience how backend scales to handle multiple customers and billions of data points while keeping user information secure Gain an understanding of how to own a development project from beginning to end Develop automated unit tests to get the relevant code coverage and work with product owners and techpubs to document your work Partner with other Engineers, Product Managers, and Designers Design and deliver innovative solutions to improve the Sigma user experience by implementing new features into our product Find new ways to optimize the performance of one or more components of the product What We're Looking For: Applicants must be a recent graduate (within the last 12 months) of a Bachelor's or a Master's degree program in Computer Science or a related field Able to begin a 3 month temp-to-hire role beginning in May 2025 or thereafter Have an intermediate to advanced grasp of Operating Systems, Data structures, algorithms and at least one modern programming language such as Java, Python, JavaScript, etc. Excited to learn and build complex user interfaces, data visualizations, or backend systems Solid project management and communication abilities. You love to find the right resources and can own tasks end to end with minimal supervision. Have a drive and desire to navigate unknowns, after all, that's what unlocks realizations Ability to collaborate and work in a team environment Able to commit 40 hrs a week for 12 weeks in-person in one of our office locations Additional Job Details New Grads at Sigma are compensated with an hourly rate and relocation bonus (where applicable). Our hourly rate for this role is $65.00 per hour. About Us: Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase. Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year. Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma's Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia). Sigma's Use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Senior Lead Software Engineer, Full Stack-IC Do you love building and pioneering in the 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 solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 6 years of experience in software engineering (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go 4+ years of experience with AWS, Google Cloud Platform, Microsoft Azure, or another cloud service 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in Agile practices Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $250,800 - $286,200 for Sr. Lead Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Software Development Engineer New York / Remote within 3 time zones of New York We are building AI-powered EMR (workflow management) software for the fastest-growing group of doctors in the USA. Our mission is to end burnout caused by legacy electronic medical records systems that inundate clinicians with extra documentation, time-consuming user experience, and poor interoperability. By dramatically cutting down the time required for documentation, we help clinicians engage more with patients, improve care, and maximize practice profitability. Our company is backed by prominent VCs in New York. We are expanding our team to build exciting new features to support our growing customer base, and we are looking for talented engineers who care about producing great products. Role We are an early-stage startup. As an early engineer, you will have a broad ownership and impact on the technology, the product, and our culture. We'd love you to take ownership of features, write performant, readable code, and make architectural decisions. You will bring ideas on projects, norms, and priorities to maximize the value we deliver to customers. About You Expertise in OOP and/or Functional languages Fluent in Domain Driven Modeling Strong written and verbal English communication skills Experience in building large software systems Strong commitment to software design and code quality A growth-oriented mindset What We Offer Remote-first work approach (with an open invite to our New York office) Equity plan Competitive salary Insurance plan for you and your family Generous PTO / sick leave Interview Process Step 1: 15 minute intro call Step 2: 30 minutes technical discussion about your experience and the systems you have built Step 3: 90 minutes technical interview Please email your resume directly to zubair@populate.com and mention the role you are applying for. Expect a smooth interview process, typically concluding within 10-15 days.

Our client is a leading independent measurement and analytics platform focused on CTV, social, podcasting, and digital media performance. Their platform helps brands, agencies, publishers, and platforms measure and optimize campaign effectiveness, creative impact, attribution, and brand lift across modern media channels. This is an excellent opportunity to join a growing, venture-backed technology company working at the intersection of AdTech, MarTech, analytics, AI, and media measurement. Responsibilities : Enhance the platform's reporting, analytics, and performance measurement capabilities across the full stack Design, develop, and maintain scalable backend services and APIs using Python and related technologies Build and optimize data processing and automation pipelines for large-scale media and analytics datasets Develop real-time analysis and tracking capabilities supporting campaign measurement infrastructure Collaborate with engineering, product, and analytics teams to architect and implement technical solutions Improve platform scalability, reliability, and operational efficiency across cloud-native environments Work with both SQL and NoSQL databases, including large-scale data storage and retrieval patterns Contribute to frontend development initiatives using modern JavaScript frameworks including Vue.js Participate in architectural discussions, code reviews, and continuous improvement initiatives Help evaluate and implement emerging AI and analytics capabilities leveraging OpenAI and Amazon Bedrock technologies Required Skills : 5+ years of experience as a Full Stack Engineer, Backend Engineer, or Software Engineer in modern web application environments Strong hands-on Python development experience Experience building scalable APIs and web applications Experience with frontend technologies including Vue.js, JavaScript, HTML, and REST APIs Strong experience with NoSQL and SQL databases including MongoDB and Snowflake or similar technologies Experience working with cloud platforms, preferably AWS services such as EC2, ECS, S3, Lambda, and EMR Strong understanding of data structures, algorithms, and scalable application design Experience working with data processing technologies including Pandas and/or PySpark Strong problem-solving and analytical skills Ability to translate business requirements into scalable technical solutions Strong communication and collaboration skills within cross-functional engineering teams Preferred Skills : Experience within AdTech, MarTech, Media Analytics, SaaS, or Digital Measurement platforms Experience with Tornado, TypeScript, Wordpress/PHP, and MarkDoc Experience building real-time analytics or tracking platforms Exposure to AI/LLM integrations including OpenAI and Amazon Bedrock Experience with large-scale reporting and analytics systems Prior experience in startup or growth-stage technology environments Tri-State Area location preferred for occasional in-person collaboration SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at . SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.

Forward Deployed Engineer - Data as a Service New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid) At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role - Multiple Levels This is an engineering delivery role where you'll translate ambiguous customer needs into production-grade data, evaluation, and ML-assisted workflows. This is a high-impact role focused on end-to-end ownership of the AI data pipeline lifecycle, including developing and deploying ML-based workflows and building the technical foundations that make our human-in-the-loop (HITL) data generation and review faster, more reliable, and more effective. You'll work at the critical intersection of data science, data engineering, AI engineering and operations, partnering closely with our DaaS Delivery Operations team and cross-functional stakeholders. You'll develop technical specifications, design evaluation workflows, implement quality standards, measurement frameworks, and ML-assisted applications which improve our data pipelines and unblock projects through technical innovation. This role is ideal for someone who is comfortable working throughout the delivery lifecycle, rolling up their sleeves to solve complex multi-faceted problems, thrives as a technical communicator and works well as a key member of a team. Main Responsibilities Project Execution & Delivery Build and deploy evaluators, design and implement quality measurement systems to validate project outputs and ensure deliverables meet client expectations Generate synthetic datasets by developing or adapting existing pipelines to accelerate client engagements and augment training data Package and deliver production-grade datasets with standardized formatting, comprehensive documentation, and quality assurance Configure and build custom applications and off-platform solutions for non-standard or specialized client requirements Production & Technical Partnership Define production specifications and workflows, securing technical alignment with client teams to enable seamless go-live transitions Provide ongoing technical support to Delivery Managers, addressing complex questions, resolving technical blockers, and supporting customer rebuttals Maintain specification consistency and alignment across customer and internal teams throughout the engagement lifecycle Identify and document workflow best practices and automation opportunities, collaborating with DaaS Engineering to continuously improve delivery capabilities Technical Leadership & Innovation Maintain solution leaderboards and execute custom model benchmarking on existing datasets to demonstrate technical capabilities Drive continuous improvement of technical assets, evaluation frameworks, and delivery processes to enhance speed, quality, and scalability What We're Looking For 3+ years of experience in data science, data engineering, ML engineering, solutions engineering, forward-deployed engineering, or other technical solution development roles. Strong practical experience with Python and SQL data tooling required. Familiarity with ML and LLM-based solutions, including applying ML techniques in production contexts and building validation, evaluation, or quality measurement workflows for ML/LLM-based systems. Experience translating ambiguous customer or stakeholder requirements into technical specifications, workflows, and delivered solutions. Experience integrating systems via APIs and building custom tooling or workflows for non-standard technical requirements. Why Join Snorkel AI? At Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to own technical data workflows and be a founding member of the technical DaaS team. The base salary range for this position is $150,000 $350,000. This range reflects multiple factors, including role level and work location. The final offer within this range will be determined based on job-related skills, experience, relevant education or training, interview performance, and other business considerations. All offers also include equity in the form of employee stock options, as well as benefits. Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of 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, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Senior Customer Success Manager This role is available in New York, New York; Raleigh, North Carolina. You will lead with innovative thinking, grow along with us, and join the smartest team in the industry. As a Senior Customer Success Manager, you will serve as a trusted advisor and customer advocate, personalizing the Everpure and Portworx experience for our clients. You'll build strong relationships, manage the end-to-end post-sales journey, and act as a subject matter expert by bridging communication between customers and our internal teams. Your mission will be to ensure successful deployment, drive adoption, and deliver value realization that contributes to renewals and growth. Own the overall post-sales service delivery relationship with key customers, managing everything from onboarding and adoption to escalations and renewals to ensure a seamless and positive experience. Develop a deep understanding of your customer's business priorities, technical environment, and challenges to act as a strategic advisor and align our technology with their business goals. Drive growth and satisfaction by delivering quarterly business reviews, and identifying opportunities to expand the customer's use of Everpure and Portworx. Act as a primary customer advocate and conduit into various cross-functional teams, including Sales, Support, Engineering, and Executive leadership, to ensure the customer's voice is heard and issues are resolved. Lead key operational and growth reviews to ensure smooth service delivery, manage risk, and plan for future capacity needs and expansions. 5 + years' experience in customer-facing, relationship management role. Prior experience in TAM, CSM, Professional Services, Support and Sales Engineer (or similar) roles. 1 + years experience working with container orchestration technology in an enterprise environment Proven experience in a customer-facing, relationship management role, demonstrating the ability to build trusted partnerships with premier enterprise clients. Working knowledge of container orchestration technologies, especially Kubernetes, and a broad understanding of the cloud-native landscape, including public cloud platforms like GCP, AWS, and Azure. Familiarity with application onboarding, performance measurement & Storage. Excellent written, verbal, and presentation skills with the ability to articulate technical issues to both technical and non-technical audiences and effectively present to executives. The ability to manage multiple projects and customers simultaneously, define project urgency, and execute detailed action plans in a fast-paced and ambiguous environment. We are primarily an in-office environment and therefore, you will be expected to work from the Raleigh or New York office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave. Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $134,000 - $252,000 USD We celebrate those who think critically, like a challenge, and aspire to be trailblazers. We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology, Fortune's Best Workplaces in the Bay Area, and certified as a Great Place to Work! We build each other up and set aside ego for the greater good. Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you're invited to an interview. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

Dynamics_Msft Ai Engineer/Sr Engineer Location New York (Hybrid 3 days onsite) We are looking for a senior Microsoft power platform engineer, who is familiar with AI builder and co-pilots as well as dynamics and power apps. The ideal candidate will have experience designing and deploying AI-powered solutions for business automation, customer interaction, and data-driven decision-making. They will be focused on LLM-based AI systems, conversational AI, and machine learning-driven automation, experienced in building scalable and production-ready solutions. They should have worked on data integration, connecting copilot studio to relevant data sources like SharePoint, Dynamics 365, and external APIs. Specifically, the person will be responsible for the following: Design, develop, and implement AI models and algorithms using Microsoft technologies. Collaborate with data scientists and business stakeholders to understand requirements and design effective AI solutions. Build and maintain scalable, high-performance AI infrastructure on the Microsoft Azure platform, AI builder and co-pilot with dynamics. Develop and deploy machine learning models using machine learning, cognitive services, bot framework, and other Azure AI tools. Optimize AI algorithms for performance and scalability. Conduct thorough testing and validation of AI models to ensure accuracy and reliability. Document and communicate AI solutions and recommendations to technical and non-technical stakeholders clearly and effectively. Evaluates AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc) when developing solutions. Specifies or implements AI platform improvements like fine-tuning or training custom ML models. Required skills: Experience with power apps, power automate, plugins, AI builder, copilot and related architecture and design practices Experience with Azure, Azure DevOps for CI/CD and C#.net. Proven experience in developing and deploying AI models and algorithms. Proficiency in programming languages such as Python, Java, or C#. Strong knowledge of AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Experience in the following technologies Microsoft Dynamic 365 Customer Engagement Experience of iterative / agile development practices Strong problem solving and troubleshooting skills with the ability to exercise mature judgment. Excellent communication skills

100% REMOTE This Jobot Job is hosted by: Katherine Krull Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $170,000 - $270,000 per year A bit about us: Come join a fast-growing, remote-first technology company building modern AI-driven infrastructure products for enterprise users! Job Title: Sr. AI Software Engineer Job Location: 100% REMOTE (*Must currently reside in the US) Pay Range: $170k–$270k Base Salary + Equity + Comprehensive Medical/Dental/Vision Benefits (100% paid for by the employer for employees and dependents) Must Have: 5–10 years of backend software engineering experience using C#/.Net 1+ year of experience working on AI-related features (LLM) Experience using Restful APIs for infrastructure Previous experience working for a startup company Preferred: DevOps experience MCP experience Snowflake, Databricks, or dbt Why join us? Founding-level opportunity within a newly formed AI engineering team Build enterprise-grade AI infrastructure and backend systems Highly visible role with direct access to leadership and product strategy Fast-moving, startup-style engineering culture with minimal bureaucracy Profitable, rapidly growing company with strong enterprise customer adoption Fully remote environment with competitive compensation and equity Job Details We are seeking a highly technical Backend Engineer to join a fast-growing, remote-first technology company building modern AI-driven infrastructure products for enterprise users. This is a high-impact opportunity to work directly with senior leadership and a small, elite engineering team focused on developing scalable AI capabilities inside a sophisticated data platform environment. Key Responsibilities Design and build scalable backend services using C#/.NET Develop AI-related platform functionality and infrastructure Build REST APIs and distributed/microservice-based systems Collaborate closely with product, architecture, and engineering leadership Support high-performance, enterprise-grade platform capabilities Contribute to technical design and system architecture discussions The ideal candidate will be mid-level backend .Net Software Engineer with recent experience within a small, fast-paced, API-focused AI infrastructure startup company with lean, highly collaborative engineering teams, where they have operated with significant ownership, autonomy, and a strong “go-getter” mentality. Must Have: 5–10 years of backend software engineering experience using C#/.Net 1+ year of experience working on AI-related features (LLM) Experience using Restful APIs for infrastructure Previous experience working for a startup company Preferred: DevOps experience MCP experience Snowflake, Databricks, or dbt Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

We are seeking an experienced Web Development Software Engineer (Level 4) with strong expertise Key Responsibilities 1. Product & Project Delivery • Develop and maintain scalable web applications using React. • Ensure deliverables meet customer requirements, specifications, and quality standards. • Perform rigorous testing, debugging, and troubleshooting. 2. Process Improvement • Identify opportunities to improve development processes and team efficiency. • Implement best practices in web development, UI design, and code quality. • Support Agile development cycles and CI/CD workflows. 3. Collaboration & Communication • Communicate regularly with leadership regarding project status, risks, and milestones. • Collaborate with cross-functional teams including backend developers, UX designers, and program stakeholders. • Provide proactive updates and technical recommendations. Required Qualifications (Must-Have) Education & Experience • Bachelor's degree (BA/BS) in Computer Science, Engineering, or related field. • Minimum 8 years of web development experience (Level 3 may be considered with less experience). Technical Skills • Strong expertise in React, JavaScript, HTML, and CSS. • Experience with Redux for state management. • Solid understanding of React fundamentals including: o Functional components o Hooks o Context API • Experience integrating frontend applications with REST APIs. • Experience with Git and CI/CD pipelines. • Experience working in an Agile environment. • Knowledge of UI/UX best practices and user interaction principles. Clearance Requirement • Active Secret Security Clearance (mandatory before start). Preferred / Nice-to-Have Skills • Backend development experience with Java. • Experience with SQL databases. • Exposure to UX design concepts or tools.

Senior Software Engineer Cobalt ID is building the business identity infrastructure for the financial internet. While others focus on consumers, we separate real companies from synthetic ones. With AI accelerating fraud rings and shell companies at global scale, distinguishing a legitimate business from a sophisticated fraudster is now one of the hardest problems in fintech. We're mapping 100M+ businesses and counting to expose hidden financial crime networks and ensure real businesses are never left out of the financial ecosystem. As a Senior Software Engineer, you'll be one of the early technical hires building the systems that power our platform. You'll work across the stack, writing production code that powers graph-based network analysis, scaling infrastructure to serve API requests in seconds, and shipping features that directly impact how leading financial institutions catch fraud. The problems are genuinely hard and mostly unsolved by the industry. Similar infrastructure powers leading social media platforms, search engines, and data fusion platforms, but hasn't yet been applied to this problem. This is a high-output role for someone who thrives on building: you'll write a lot of code, move fast, and see your work in production within days, not quarters. You'll work shoulder to shoulder with the founding team and have direct access to customers and their data. This is a full-time on-site role for a Staff Software Engineer located in New York, NY. What you'll do: Build and ship production features across the platform: backend services, APIs, graph query layers, and customer-facing tools Develop infrastructure that serves inference and network analysis results in real time with high accuracy and low latency Solve hard implementation problems: identity resolution at scale, real-time signal processing, explainable risk scoring for compliance Build integrations with customer systems. Financial institutions have high reliability and auditability standards, and you'll own meeting them Write clean, reliable code and move through a complex, evolving codebase quickly Collaborate directly with founders and customers to understand the problem deeply and ship what matters Base qualifications: 3+ years building production backend systems (we care more about skill and impact than years alone) Strong coding ability - you write production-quality code, reason clearly about system design, and can move through a complex codebase quickly Experience with data-intensive systems - you've worked with large datasets, built pipelines, or operated services at meaningful scale Comfort with ambiguity and fast iteration in an early-stage environment Preferred qualifications: Background in fintech, fraud detection, or identity systems Experience with graph databases, entity resolution, or network analysis Experience scaling infrastructure under real production load Experience with ML model serving or inference infrastructure in production You're a tinkerer - you have side projects, contribute to open source, and are actively building with AI tools The team: We're a small, tight-knit, and highly technical team. Our founders and early team members come from Waymo, Google, Meta, Brex, and Virtu Financial. We value technical depth and curiosity, low ego, and fast execution. We've partnered with investors who understand the plumbing of the global financial system. We recently raised a round led by Nyca Partners, with participation from operators who built the modern fintech stack at Ramp, Plaid, and Brex.

Cogent Security Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and scale. Cogent's "AI Taskforce" assesses petabytes of enterprise data to remediate these issues before critical breaches occur. To stay at the cutting edge, we blend frontier research with real-world execution. Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality. Since coming out of stealth, Cogent has experienced rapid growth. We partner with Fortune 500 companies to secure some of the most complex production environments in the world. We're backed by Greylock and we've built a team with the best minds in applied AI. Our team is comprised of people from: Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase World class cybersecurity experts from Wiz, Abnormal AI, Zscaler Preeminent research labs like Deepmind and SAIL About the Role As we work with our first design partners, Cogent is building a suite of backend services and integrations that will power our autonomous AI workers. We are looking for talented, ambitious Backend Senior and Staff Engineers who are excited to build in the Applied AI space. What You'll Do & Achieve Design and implement key backend, integration platform subsystems Understand business goals, product and technology strategies and customer requirements and implement supporting backend and integration platform subsystems to achieve them Adapt and evolve systems and plans to implement newly identified design partner and customer requirements Adapt and evolve systems to implement non-functional requirements (compliance, security, enterprise integration etc.) Laying down infrastructure foundations for growth and scalability Prepare Cogent for future headcount, customer, and data growth by working with a team to design and build an infrastructure that will scale and that achieves requirements in the areas of product capabilities, non-functional needs (reliability, security, disaster recovery, etc.). Help create a robust engineering culture at Cogent Onboard, support and uplevel future team members Participate in, provide feedback on, and iterate interview process as we scale the team up Actively contribute to Engineering Excellence, Operational Excellence and Recruiting initiatives What You'll Bring 5+ years of professional experience as a hands-on engineer and technical leader, overseeing and contributing to multiple backend systems and infrastructure projects Expertise in architecting, developing, and scaling backend systems, including both stateless and stateful architectures, to support high-performance, enterprise-level applications Proven experience with distributed systems, microservices, and serverless architectures, ensuring robustness, scalability, and fault tolerance Strong knowledge of backend programming languages such as Python, Go or similar, with a deep understanding of concurrency, memory management, and performance optimization Experience with API design and implementation (RESTful and/or gRPC), integrating with frontend systems, data platforms, and third-party services Solid experience with containerization, orchestration, and deployment technologies like Kubernetes, Docker, Terraform, and CI/CD pipelines in multi-cloud environments (AWS, GCP, Azure) For California Based Applicants The standard base salary range for this position is $100,000 - $300,000 annually. Compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are committed to building an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

Technical Support Engineer Grab your cape, become a SuperHyro! Hyro, the leader in Responsible AI Agents for Healthcare, enables health systems to safely automate workflows and conversations across their most valuable platforms, services, and channelsincluding call centers, websites, SMS, mobile apps, and more. Hyro's clients, which include Intermountain Health, Baptist Health, and Hackensack Meridian Health, benefit from AI agents that are fully HIPAA-compliant, fast to deploy, easy to maintain, and simple to scalegenerating better conversations, successful patient outcomes, and revenue-driving insights. What Are We Looking For? We are looking for a Technical Support Engineer to join our growing Delivery team in NYC. As a member of the Support Engineering group, you will be an integral part of a team of top professionals who own and maintain next-generation responsible AI agent solutions. You will act as a trusted advisor to our clients and be an essential part of the success of both our customers and Account Executives, maintaining and supporting customers post-launch. As a passionate technologist and customer advocate, you will connect the dots between technical solutions and business value for the customer. We are seeking a proactive problem-solver who is eager to immerse themselves in Conversational AI and Natural Language Understanding (NLU) technologies to become an expert in Hyro's solutions. You will play a crucial role in maintaining customer satisfaction, troubleshooting complex integrations, and serving as a technical SME. Responsibilities Resolve technical support requests across multiple channels while guiding clients on platform best practices. Serve as a technical SME, focusing on swift issue resolution and proactive performance monitoring. Partner with R&D, Product, and Delivery teams to escalate issues and drive meaningful platform improvements. Develop deep technical expertise and become a go-to authority as our product evolves. Build internal tools and documentation to help the team debug complex metrics and visibility gaps. Lead high-stakes technical calls and craft innovative solutions for critical customer challenges. Manage and prioritize support tickets to ensure quick resolution and clear client communication. Collect customer feedback to provide the product team with insights for continuous improvement. Requirements 2+ years of technical support experience, preferably within a SaaS environment. Strong background in technical troubleshooting and/or programming. Proficiency in web technologies, including JavaScript, HTML, and CSS. Familiarity with query languages or BI tools for data extraction. Experience using Jira, Notion, or similar workflow management software. A detail-oriented critical thinker with a client-centric approach. A fast learner capable of adapting to new technologies and evolving priorities. Clear communication skills for both technical and non-technical stakeholders. Proven ability to turn difficult customer challenges into opportunities. Bonus points: Computer Science or Engineering majors Software engineering experience Experience in healthcare technology and/or AI platforms. This is a hybrid role, with at least 3 days in the NYC office. Applicants must be currently authorized to work in the United States on a full-time basis. Offered rate of compensation (NY locations only) will be based on individual education, qualifications, experience, and work location. The salary range for this position is $80,000 - $130,000 annually exempt. The range provided is for NY-based hires only and will be commensurate with the candidate's experience. Pay ranges for candidates in other locations other than NY may differ based on the cost of labor in that location. Equal Opportunities Hyro is an equal opportunity employer. We do not discriminate against any employee or job applicant on the basis of race, color, gender, national origin, age, religion, creed, disability or sex.

We are seeking for an engineer that suits in this profile and experience: LOCATION: CHARLESTON, SC Duties/Responsibilities: Maintain accurate records on scheduled and unscheduled repairs. Perform general maintenance, preventative maintenance, inspections, and emergency repairs as assigned. Adhere to safety, security, and emergency procedures, react appropriately during emergency situations, and act promptly to correct hazards. Adhere to security procedures concerning the handling of guest room and master keys, security of boiler and electrical rooms and other engineering areas, proper storage of all chemicals, etc. Listen to and promptly act to resolve guest problems and complaints with a strong emphasis on customer service. Have intermediate experience troubleshooting and repairing electrical systems and plumbing systems, including drain line clearing. Have basic carpentry skills. Have strong mechanical skills for operation and repair of hotel equipment and possess the knowledge and ability to perform a variety of general maintenance repairs. Possess a strong drive to overcome roadblocks and complete all assigned and necessary tasks. Clean and organize engineering shop and spaces Keeps Chief Engineer or Assistant Director of Engineering promptly and fully informed of all problems or unusual matters of significance so that prompt corrective action can be taken. Required Skills/Abilities: Know how to operate hand and power tools (drills, saws, drain cleaners, pressure washing equipment and a wide variety of meters and testers) Read manufacturer instructions, blueprints, diagnostic trees and the ability to discern various colors of electrical wiring. Make effective judgments on the various aspects of general repairs and maintenance and effectively solve guest and operational problems. Operate work order program to include detailed notes and status of tickets Operate software programs that control HVAC and monitor central plant Communicate effectively with other departments such as housekeeping and stewarding to work towards a common goal Be flexible in scheduling Be teachable, have drive to better oneself Education and Experience: High school diploma or equivalent. Minimum 2 years maintenance experience Physical Requirements: The physical demands described here are representative of those that must be met by a colleague to successfully perform the essential functions of this job: Must be able to lift equipment, supplies, etc. of at least 75 pounds. Must be able to resolve problems, handle conflict, and make effective decisions under pressure. The role may require extended periods of time on your feet, especially during peak hotel hours or events. Clear vision is important for reading labels, instructions, blueprints, reports, analyzing data, and guest interactions. Good hearing is necessary for effective communication with team via radios, with colleagues, guests, and stakeholders. Frequently required to sit, climb or balance, stoop, kneel, crouch and crawl. Regularly required to climb ladders, stand, walk, talk and hear; frequently required to use hands t Work Location: In person Pay: 18.00 USD per hour

Data Engineer Stuut is transforming accounts receivable for B2B companiesmaking collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role To build the data foundation that powers Stuut's intelligence layer. You'll work closely with our product and engineering teams to transform raw financial data into actionable insights that help our customers get paid faster. This is a foundational role, you'll be our first data hire, which means you'll shape everything from our data architecture to how we think about analytics. This is a high-impact role for someone who can think strategically about data infrastructure while rolling up their sleeves to build pipelines, models, and systems from scratch. You'll translate messy data into clean, reliable datasets that drive product decisions, customer insights, and business growth. If you've ever wanted to own the entire data stack at a fast-growing company, this is it. What You'll Do Build and own our data infrastructure from the ground up design pipelines that ingest, transform, and model data from customer ERPs, payment processors, and internal systems Build the transformation and semantic layer that serves as the single source of metric truth across customer-facing analytics, internal reporting, and our AI/ML systems Design the canonical data model that normalizes information across heterogeneous source systems, with quality tests and observability built in from day one Build the event and signal pipelines that turn product interactions and outcomes into clean, labeled data the foundation for analytics, ML, and intelligent product features Partner with product, engineering, and applied ML to embed data quality, lineage, and observability into everything we ship Implement DataOps best practices so our data and the AI features built on top of it stays timely, accurate, and trusted Collaborate with leadership to define KPIs, build dashboards, and surface insights that drive strategic decisions Scale our data platform as we grow from dozens to hundreds of customers, anticipating needs before they become bottlenecks You Might Be a Fit If You Have 3+ years of hands-on experience building production data pipelines using Python Know your way around SQL and modern cloud data warehouses; experience with Snowflake or BigQuery is a plus Have deep experience implementing ETL/ELT workflows at scale using tools like dbt, Airflow, or similar and have opinions on what good looks like Have built or contributed to a semantic / metrics layer and care about metric consistency across surfaces Understand data modeling fundamentals and can design canonical schemas that normalize messy, heterogeneous source data into something usable Have worked with real-world data from SaaS APIs, ERPs, and third-party integrations and have battle scars to show for it Care deeply about data quality and observability freshness, lineage, automated testing, and anomaly detection as first-class concerns Have experience partnering with ML or applied AI teams on feature pipelines or supporting data infrastructure (bonus, not required) Thrive in ambiguity and get energized by building something new rather than inheriting someone else's stack Have experience (or strong interest) in fintech, B2B SaaS, or financial data understanding AR/AP workflows is a big plus Compensation Top-of-market salary and equity package Benefits (for U.S.-based full-time employees) Medical, dental & vision insurance coverage for you 401(k) & Match Equity Flexible PTO Parental Leave

Equipment Engineer, Equipment Commissioning & Qualification Operations The Equipment Engineer, Equipment Commissioning & Qualification Operations supports the successful operation of laboratory, clinical and commercial manufacturing operations at their home site through interaction with internal team members and internal customers as well as external service providers. With minimum supervision and given general instructions, this individual carries out routine tasks and functions, and uses basic analytical skills to recognize and solve common problems of limited scope. As a developing team player, the incumbent interacts with their immediate supervisor and personnel within their own work group to achieve team goals while building trust and collaborative relationships outside the immediate organization. The incumbent may be asked to lead small to medium sized projects in their area of responsibility and will be called upon to create and revise work processes or procedures that impact their immediate function or organizational unit. The incumbent will be involved with writing deviations, investigations and supporting the implementation of change controls. Required competencies include knowledge of cGMP, GXP, GAMP, SDLC regulations, including 21CFR part 11, computer systems validation requirements and good documentation practices. Advanced knowledge of pharmaceutical, manufacturing and laboratory systems and equipment is also required. Strong written and verbal communication skills, excellent interpersonal skills, strong multitasking ability, and highly proficient computer skills in Microsoft Office Suite are necessary. Working knowledge of scheduling software and systems, and inventory management systems, mainly Blue Mountain RAM, is also needed. Ability to interact effectively with laboratory, QA and Facilities groups is essential. Education and experience required include a BS in Engineering or Science related discipline preferred, minimum 2 years' experience in FDA-regulated industry, experience working directly with bench top manufacturing and laboratory equipment, knowledge of cGMP in the pharmaceutical industry, and strong problem-solving skills, strong verbal and written communication skills, and the ability to work independently. Must have strong interpersonal and communication skills, be a team player and be willing to work in an environment where individual initiative, accountability to the team, and professional maturity are required. 2 years of maintenance coordinating / planning experience, preferably in a laboratory environment is also required. Duties and responsibilities include executing equipment calibration, preventative maintenance, performance verification and repair activities in both laboratory and manufacturing areas, supervising vendors for calibration, preventative maintenance, performance verification and repair functions, reviewing and approving vendor executed calibration, maintenance, repair, and performance verification records for accuracy, completeness and compliance to Client standards, working closely with and entering data into the site CMMS system, ensuring all calibration, PM, and performance verification records are filed appropriately after approval, writing and supporting deviations and investigations that result from calibration or performance verification failures along with developing and supporting the implementation of corrective and preventative actions, supporting the development, revision and review of written procedures for calibration, preventive maintenance and performance verification of equipment, supporting the development, review and approval of calibration and maintenance plans in site CMMS system, supporting the execution of equipment performance verification and process improvement studies, adhering to all policies and procedures which govern the ECQ team and the equipment they manage in order to ensure compliance is held to the highest standard, regularly reviewing, prioritizing and promptly responding to customer equipment performance verification and support requests, providing technical support and guidance on calibration, equipment performance verification and validations issues, maintaining a positive relationship with all the members of the Equipment Commissioning & Qualification department and site customers while promoting a positive team environment, working with planning group to ensure system is updated as calibration, maintenance and performance verification activities are performed, maintaining all required Corporate, Facilities and EHS training as required, adhering to all safety procedures and hazard communication, and may be called upon to act as SME in both internal and regulatory audits.

Resolve AI Software maintenance and production troubleshooting have become a massive tax of engineering velocity. Resolve AI is solving this by building a transformative, truly autonomous AI Production Engineer that investigates and fixes complex system issues end-to-end. Our founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware. We've raised over $190M from top-tier investors including Lightspeed, Greylock, DST, Unusual Ventures, and individual backers such as Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn), and Fei-Fei Li (Professor, Stanford). Joining Resolve AI at this stage of our journey is a once-in-a-lifetime opportunity. You've already decided that you want to work at an AI-native company that's pushing the limits of how engineers work, and now you're looking for the right one. What You'll Do Partner with Account Executives to manage complex enterprise sales cycles from discovery through proof-of-concept to close, serving as the technical lead throughout the process. Lead product demos and technical evaluations, translating customer infrastructure and operational challenges into actionable solutions using Resolve AI's platform. Build trusted relationships with customers, acting as a consultative advisor and ensuring technical success during pilots and deployments. Collaborate cross-functionally with Product and Engineering to relay customer feedback, influence roadmap decisions, and improve technical messaging. Develop and maintain reusable demo environments, playbooks, and sales engineering tools to support a repeatable, scalable and high velocity GTM motion. What We're Looking For 5+ years in Sales Engineering, Solutions Engineering, or a similar customer-facing technical role, ideally in enterprise SaaS, DevOps, or AI. Proven success leading consultative sales cycles with enterprise customers and multiple stakeholders. Experienced with cloud platforms (especially AWS) and Kubernetes, with a strong understanding of DevOps practices in cloud-native environments. Skilled in infrastructure automation and applying security and compliance best practices in cloud-native environments. Strong communicator with the ability to clearly present technical concepts to both technical teams and executive leadership. Adaptable, self-starter mindset with a proven ability to thrive in fast-paced, early-stage environments. Why Join Resolve AI? Make a Real Impact: Join a mission-driven team tackling complex challenges that deliver meaningful outcomes for customers and revolutionize engineering operations. Shape Agentic AI's Future: Help build the next frontier in enterprise software and define its transformative impact. Own Your Work: Take end-to-end responsibility in your role in a collaborative, high-trust environment. Accelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights. Competitive Benefits: Competitive Pay Packages with full benefits including: Comprehensive Medical, Dental, and Vision Insurance Monthly Housing Stipend Flexible (Unlimited) Paid Time Off Visa Sponsorship & Immigration Support 401(k) Plan Parental Leave Discretionary Tech Benefit Stipend Daily in-office Lunches and Dinners We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law.

Forward Deployed Engineer Nue is the AI-powered revenue architecture platform that unifies CPQ, billing, and revenue lifecycle management into a single system. It enables companies to simplify complex pricing, automate monetization, and gain full control over how they generate and scale revenue. Working with customers such as OpenAI, Chilipiper, Glean, HootSuite, and Mews. Nue helps sales, operations, and finance teams gain revenue acceleration, operational efficiency and revenue controls at speed and scale. What You'll Do: We are looking for a senior, customer-facing Forward Deployed Engineer to work directly with our customers on-site to design, build, and deploy solutions that power their end-to-end quote-to-cash workflows. This role sits at the intersection of product, engineering, and customer success, and is critical to ensuring our platform delivers real, measurable outcomes in complex, real-world environments. Unlike traditional implementation roles, this position requires a high degree of ownership, technical depth, and business understanding. You will not only implement solutions, you will define them. Responsibilities: Partner directly with customers (often on-site) to understand their business processes, pain points, and requirements across the quote-to-cash lifecycle Design and build custom solutions on top of the Nue platform to address complex, ambiguous use cases Own the end-to-end delivery of customer solutions (from discovery and design through deployment and iteration) Translate business requirements into technical implementations, including integrations, workflows, and automation Work closely with Product and Engineering to surface gaps, influence roadmap, and help shape the evolution of the platform Collaborate with Product Engineers to transition custom solutions into scalable, reusable product capabilities Act as a trusted technical advisor to customers, guiding best practices and ensuring long-term success What You'll Bring: 510+ years of experience in a technical, customer-facing role (e.g., solutions engineering, forward deployed engineering, technical consulting) Strong understanding of quote-to-cash processes (CPQ, billing, revenue, ERP/CRM integrations) Proven ability to design and build solutions in ambiguous environments with minimal structure Hands-on technical experience (e.g., APIs, scripting, data modeling, integrations) Experience working directly with enterprise customers and senior stakeholders Ability and willingness to work on-site with customers as needed (with primary focus on San Francisco and New York) Strong communication skills with the ability to bridge technical and business audiences Why This Role: Not a traditional implementation role - you will define and solve problems that don't yet have standard solutions High ownership - you are responsible for the customer outcome, not just delivery tasks Deep product influence - your work directly informs what gets built into the core platform On the ground with customers - you will be embedded in real customer environments, solving real problems What We Offer: Competitive compensation and benefits that reward your talent and impact. Comprehensive health, vision, dental, and life insurance A front-row seat in the Silicon Valley tech ecosystem, where you'll work on cutting-edge challenges shaping the future of SaaS, finance, and payments. The opportunity to build truly groundbreaking products your work won't just support the business; it will influence how companies around the world monetize and grow. A high-energy, collaborative culture where smart, supportive teammates push each other to learn fast, think boldly, and do the best work of their careers. Room to grow, lead, and make your mark in a fast-scaling company that values creativity, ownership, and ambition. Nue.IO is an equal opportunity employer and welcome people of diverse backgrounds, perspectives, and skills. We will work with applicants to provide accommodations at any stage of the hiring process. If you require accommodations during the interview process, please email your Talent Partner, and we will work with you to meet your needs.

Software Guidance & Assistance, Inc., (SGA), is searching for a Middleware Messaging Engineer for a CONTRACT assignment with one of our premier Financial Services clients in Jersey City, NJ. Responsibilities : Provide 24/7 and (when necessary) weekend support for systems involved in the architecture. Function as IBM Websphere MQ administrator. Install MQ environments on Windows and Linux. Create and configure Queue Managers, channels, queues, and other MQ objects. Perform the backup and restore of Queue Managers and related objects. Recover damaged MQ installations and/or Queue Managers. Upgrade and patch MQ environments on Windows and Linux. Implement custom MQ security solutions using channel exists or SSL. Set up SSL communications between MQ servers and MQ clients to MQ servers. Install and configure MQ Clients on Windows and UNIX platforms Function as Solace Messaging Engineer. Installation, upgrade and patching of Solace Appliances. Administration of Solace Appliances. Configuring Redundancy and Fault tolerance of Solace Infrastructure. Experience in configuring Solace bridging between Remote Solace Appliances. Experience in configuring different protocols with Solace appliance - MQTT, REST, AMQP. Experience in using Solace CLI to configure different solace objects. In-depth knowledge of Solace Queue and Topics. Enabling SSL for Solace communications. Interface with Application teams in troubleshooting complex, cross-platform issues related to Solace communication. Identify operational and infrastructure risks within the environment and work with the application development teams and APS to make corrections and mitigate risks. Ensure optimal resilience of deployed systems and meet all disaster recovery and compliance requirements dictated by the business. Configuring monitoring for Solace Appliances. Developing Python and Ansible playbooks to automate the Messaging Infrastructure. Required Skills : Strong Knowledge and experience with IBM MQ and Solace Installation/Configuration and Setup. Working knowledge of setting up Redundancy and fault tolerance between Solace Appliances. Knowledge on setting up SSL for Solace and IBM MQ. Strong Knowledge and experience with MQ processes, triggers, channels and clustering. Exposure to monitoring tools such as Nastel Knowledge on Kafka Strong knowledge and experience with PowerShell scripting. Working knowledge of Microsoft O/S, SUN Solaris, and Linux. Working knowledge and experience with Python and Bash scripting. Will be required to comply fully with the bank's general policies on attendance, compliance and professional conduct. Willingness to adapt to the changes constantly introduced by the Bank's dynamic environment. Preferred Skills : Knowledge and experience with other flavors of web application servers (Apache Tomcat, JBOSS, Weblogic) Knowledge and experience with other flavors of web servers (Apache Web, IIS) Good understanding of Load Balancers (LTM) Good understanding of DNS and GTMs SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at . SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy. #LI-NI1

Technical Account Manager (TAM) Modern Treasury is hiring a Technical Account Manager (TAM) to own the end to end post-sale customer journey from onboarding and implementation through long-term operation and growth. This is a technical, customer-facing role at the intersection of engineering, product, and operations. You will work closely with developers, product managers, and payments teams to design, operate, and scale reliable money movement systems using Modern Treasury's APIs. You will act as both a technical advisor and account owner, responsible not just for integrations, but for helping customers run mission-critical financial infrastructure with accuracy, reliability, and scale. Modern Treasury leverages AI heavily. This role is best suited for someone who is already using AI tools and is eager to continue pushing the envelope on AI best practices. What You'll Do Serve as the primary technical advisor for a portfolio of customers, leading onboarding, implementation, and ongoing engagements while building trust with engineering, product, and payments stakeholders Partner with Product, Engineering, Sales, and Support to translate customer needs into product feedback and influence roadmap decisions Deliver business and technical reviews including QBRs and post-mortems, focused on long-term partnership and operational excellence Help customers design, optimize, and scale payment systems, guiding tradeoffs across performance, reliability, and complexity Identify opportunities to expand usage, reduce failure modes, and increase automation across customer workflows Improve internal processes and build scalable, repeatable workflows by leveraging AI tools to accelerate problem-solving and synthesize insights across your customer portfolio Who You Are 3+ years in client-facing technical roles such as TAM, Solutions Engineer, or Customer Success Strong experience with REST APIs and integration patterns Proven ability to troubleshoot issues in production environments Experience managing complex, cross-functional projects Excellent communication and stakeholder management skills Ability to balance reactive questions with proactive account strategy Experience using AI agents in a work environment Background in fintech, payments, or financial systems Familiarity with money movement, ledgering, and reconciliation workflows Experience with SQL and BI tools for debugging or data analysis Modern Treasury is committed to equal employment opportunity and does not discriminate in any employment opportunities or practices based on an individual's race, color, creed, gender (including gender identity and gender expression), religion (all aspects of religious beliefs, observance or practice, including religious dress or grooming practices), marital status, registered domestic partner status, age, national origin or ancestry (including language use restrictions and possession of a driver's license issued under California Vehicle Code section 12801.9), natural hair, physical or mental disability, political affiliation, medical condition (including cancer or a record or history of cancer, and genetic characteristics), sex (including pregnancy, childbirth, breastfeeding or related medical condition), genetic information, sexual orientation, military and veteran status or any other consideration made unlawful by federal, state, or local laws. It also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. Modern Treasury participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Lead Software Engineer (Front End) Capital One Travel is building a brand-new product area inside Emerging Verticals - a true greenfield bet within the fastest-growing credit card travel portal in the US. The product is live but still in its earliest days, which means you won't be optimizing an existing product, instead, you'll be designing and shipping high-impact systems from scratch and defining the technical foundation for a category we expect to scale into a multi-billion-dollar market operation. This is a rare pitch for true technical ownership. You'll join a small, entrepreneurial team that is pioneering AI-native development - using tools like Claude to spec, prototype, build, and QA across many surfaces at 10x speed - all backed by Capital One's massive distribution engine. If you love going zero-to-one, moving fast, and seeing your work reach millions of customers, this role is for you. What You'll Do Build new, customer-facing products and platform services from the ground up across the full stack - from data and APIs through to the experiences customers touch. Work AI-natively: use modern AI tooling to prototype, generate, test, and ship features across many different areas and surfaces at a pace traditional teams can't match. Partner directly with product, design, business, and external supply/partner contacts - translating real-world business needs into technical solutions and owning them end-to-end. Lead a portfolio of fast-moving projects and help set the engineering bar for a new team, mentoring others and raising the standard for AI-accelerated delivery. Make pragmatic architecture decisions for systems that need to scale quickly and reliably as the vertical grows. Utilize languages and tools like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, open source RDBMS and NoSQL databases, container orchestration including Docker and Kubernetes, and a range of AWS services. What We're Looking For Builders who have shipped their own projects end-to-end with AI - not just code-completion, but using AI across the whole build cycle. Engineers who move fast in ambiguous, zero-to-one environments and have launched new features at scale. People who are comfortable owning business and partner relationships, not just tickets. Basic Qualifications Bachelor's Degree At least 4 years of experience in software engineering (Internship experience does not apply) At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications Master's Degree 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go 3+ years of experience with AWS, Google Cloud Platform, Microsoft Azure, or another cloud service 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in Agile practices Hands-on experience building and shipping their own projects with AI end-to-end - using interactive AI tooling to spec, generate, test, and deliver, well beyond basic code completion Experience launching new, customer-facing features at rapid scale in a fast-moving consumer or marketplace environment At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $215,200 - $245,600 for Lead Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Engineer DevOps Location: Long Island City, NY, US, 11101 Orlando, FL, US, 32827 Washington, DC, US, 20005 Salt Lake City, UT, US, 84121 Position Summary: The Lead Engineer, DevOps plays an integral role in implementing and executing cloud practices for build management, product release and operation processes. The role is responsible for managing and automating the build and deployment process and regression testing, building tools and monitoring used in product implementations. The Lead Engineer, DevOps will help in defining, maintaining procedures and tools that are used to deliver releases in a repeatable and scalable manner. This role involves significant collaboration with stakeholders across IT and partners. Essential Responsibilities: Develop and lead operations processes, implement new software deployment strategies, and conduct professional software testing when needed Establish and run the processes for on-going maintenance while monitoring support and security patching of a platform Automate, support, and ensure Continuous Integration (CI)/Continuous Delivery (CD) in product development Collaborate and mentor junior engineers with regards to software release best practices Perform code reviews to ensure high quality and consistent coding practices Ensure that JetBlue IT and business standards and procedures are maintained in accordance with company policies and all audit, security, and regulatory requirements Work with internal and external Engineering/Security/Operations teams to ensure that the defined standards are met and used throughout all departments Be part of the on-call team to help resolve issues with the customer facing and support applications Minimum Experience and Qualifications: Bachelor's degree in a related discipline; OR demonstrated capability to perform job responsibilities with a combination of a High School Diploma/GED and at least four (4) years of previous relevant work experience Four (4) years of previous experience working with infrastructure and/or development teams to build enterprise-scale application integration solutions Four (4) years of experience with Continuous Integration and Continuous Delivery process Experience architecting and supporting highly available and highly scalable cloud infrastructure like Microsoft Azure and Google Cloud Platform or Amazon AWS Ability to grasp technical concepts quickly and apply that knowledge to DevOps efforts within the team Proficiency in scripting languages such as PowerShell, Bash, and Python Experience with Container orchestration like Kubernetes, Docker Vulnerabilities and Patch management Proficient in Cloud based software development/management tools (Ansible/Salt Stack, Ruby, Jenkins Pipelines, GitHub, Ubuntu/Centos/RHEL, Terraform, Artifactory or similar) Familiarity with monitoring tools like AppDynamics, Sumo Logic or similar Knowledge of Release Management Processes including Canary Deployments and Blue/Green Available for overnight travel (10%) Able to work flexible hours and be available for emergency response on short notice Must pass a pre-employment drug test Must be legally eligible to work in the country in which the position is located Authorization to work in the US is required. This position is not eligible for visa sponsorship Compensation: The base pay range for this position is between $105,600.00 and $150,400.00 per year. Base pay is one component of JetBlue's total compensation package, which may also include access to healthcare benefits, a 401(k) plan and company match, crewmember stock purchase plan, short-term and long-term disability coverage, basic life insurance, free space available travel on JetBlue, and more. JetBlue Airways is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or any other legally protected basis.

Supervising Museum Maintainer, HVAC (Evening) The American Museum of Natural History is one of the world's preeminent scientific and cultural institutions, and has as its mission to discover, interpret, and disseminate information about human cultures, the natural world, and the universe through a wide-ranging program of scientific research, education, and exhibition. The Museum's Facilities Operations department is seeking a full-time Supervising Museum Maintainer, HVAC to complete complex heating, ventilation, and air conditioning systems (HVAC) operations, maintenance, and repairs, at the direction of Facilities management. The Supervising Museum Maintainer trains Museum Maintainer/HVAC Technicians on and participates in regular preventative maintenance work. Additionally, they provide technical assistance to the Chief Engineer and assist with and supervise delivering required environmental conditions for the Museum's campus, maintaining a safe and effective working environment. The Supervising Museum Maintainer builds and maintains a culture of excellence within the team, based in an environment of mutual respect, professionalism, and integrity. This Supervising Museum Maintainer, HVAC is expected to work an evening shift from 4pm-12am. Job duties include, but are not limited to: Provide direction, training, work review, and evaluation to assigned HVAC staff. Organize and assign work to HVAC staff. Set priorities and follow up to ensure coordination and completion of assigned work. Ensure repairs and upgrades are properly planned and completed with minimal disruption to critical operations. Supervise and monitor outside contractors performing HVAC repairs and maintenance. Train staff in the proper use of HVAC equipment, systems, and supplies. Maintain equipment and supplies in good working order. Use, update, and monitor the Museum Facilities Asset Management System, which details, holds scheduling for, and tracks preventative maintenance and customer service tasks. Keep mechanical areas of the Museum campus clean, safe, and well-maintained. Interpret HVAC plans, diagrams, blueprints, sketches, and specifications. Work from verbal and written instructions and work orders to install and test HVAC systems and equipment. Perform skilled HVAC work, including the installation and repair of HVAC systems and related equipment and inspecting and performing tests on systems and equipment to identify defective parts and ensure proper operation (i.e., chiller plant, cooling tower, chilled/hot-water/steam air-handlers, humidification (steam), steam/radiant/electrical heating, local HVAC units, BMS and pneumatic controls, fire-protection interconnections). Inspect, disassemble, repair, maintain, and service various HVAC systems and equipment, including valves, fans, compressors, motors, gaskets, filters, fuses, tubing, temperature controls, and thermostats. Perform similar work on hot water forced air systems critical environments. Operate and maintain continuous operation of HVAC equipment and systems, including pumps, gauges, meters, and a variety of power tools. Alert appropriate supervisors and document building discrepancies and operational issues. Respond to emergency alarms and alarm conditions. This position requires weekend availability. Additionally, this position requires availability to work extended hours and for 24/7 emergency response as needed. The expected salary for the Supervising Museum Maintainer, HVAC is $125,000/annual. This position is overtime-eligible and the AMNH offers an extensive benefits package designed to meet the needs of our dedicated and diverse community. Pay will be determined based on several factors. The hiring range for the position at commencement is based on the type of work and the scope of responsibilities. The salary and placement offered is based on a number of individualized factors, including, but not limited to, skills, knowledge, training, education, credentials, areas of specialization, and depth and scope of experience. Minimum Qualifications - High School Diploma or equivalent. Valid NYC Fire Department Certificate of Qualification for Refrigerating System Operating Engineer (Q-01) or Q-99. The following additional NYC Fire Department Certificates of Fitness must be held, but can be obtained within 6 months of start of employment and must be maintained throughout employment: F-60 Fire Guard for Torch Operations & Construction site G-60 Torch use of Flammable Gases A-35 Operate and Maintain Air Compressors S-12 City wide sprinkler Systems S-13 City wide Standpipe Systems Three years experience in relevant maintenance work. Three years experience with centrifugal chillers and associated mechanical equipment. Experience managing union staff or tradespeople. Working knowledge of HVAC controls. Excellent interpersonal, coaching, and training skills, including the ability to maintain excellent working relationships with coworkers, supervisory staff, management, and other Museum partners, leading with a cooperative and collaborative attitude. Excellent technical and problem-solving skills. Proficient oral/written communication skills. Proficiency in Microsoft Word and Excel, competent computer skills, familiarity with CMMS (Computerized Maintenance Management System) operations, and experience using building management systems. Strong recordkeeping and organizational skills including: budget and schedule development, tracking, and reporting; contracting and vendor negotiation competency and planning; and tracking personnel skills and required training. Ability to read and interpret architectural and Mechanical, Electrical, and Plumbing (MEP) drawings. Preferred Qualifications - Technical, trade, or vocational education. Certifications for the maintenance and operation of HVAC systems. Physical Demands - Must be able to remain in a stationary position (sitting or standing) for prolonged periods. Must be able to occasionally lift up to 20 pounds. Must be able to move about the Museum campus. Positioning/change of positioning: Must be able to frequently position oneself/body to accomplish job duties. Balancing: Maintaining body equilibrium to prevent falling. Climbing: Ascending or descending physical structures. Exerting up to 50 pounds of force occasionally and up to 20 pounds of force frequently. May include any of the following: Pushing: Using upper extremities to press against something with steady force to thrust forward, downward, or outward. Pulling: Using upper extremities to exert force in order to drag, haul, or tug objects in a sustained motion. Lifting: Raising objects from a lower to a higher position or moving objects horizontally from position-to-position. Category - Full-Time Total Number of Scheduled Hours Per Pay Period - 80 Union Status - Union FLSA - Non-Exempt Expected Salary Minimum - $125,000/annual Expected Salary Maximum - $125,000/annual EEO Statement - The American Museum of Natural History is an Equal Opportunity Employer. The Museum does not discriminate with respect to employment, or admission or access to Museum facilities, programs or activities on the basis of race, creed, color, religion, age, disability, marital status, partnership status, gender (including sexual harassment), sex, sexual orientation, gender identity, gender expression, genetic information, pregnancy and lactation accommodations, alienage or citizenship status, current or former participation in the uniformed services, status as a veteran, caregiver, pre-employment marijuana testing, sexual and reproductive health decisions, salary history, national or ethnic origin, height, weight, or on account of any other basis prohibited by applicable City, State, or Federal law. Additional protections are afforded in employment based on arrest or conviction record, status as a victim of domestic violence, stalking and sex offenses, unemployment status, and credit history, in each case to the extent provided by law.

Senior Azure Engineer New York, New York, United States Doctors Without Borders/Mdecins Sans Frontires (MSF) is an independent international organization that provides medical care to the people who need it most. The organization cares for people affected by conflict, disease outbreaks, disasters, and social exclusion in more than 70 countries. MSF offers medical humanitarian assistance solely based on need, regardless of race, ethnicity, religion, or politics. Our international project teams include medical, logistical, and administrative staff, most of them hired locally and working with their own communities. Our actions are guided by medical ethics and the principles of independence, impartiality, and neutrality. We also bear witness and speak out about the experiences of our colleagues and patients. MSF USA is one of 24 sections supporting the global movement, primarily through staff recruitment, fundraising, advocacy, and communications. We welcome candidates who bring a wide variety of backgrounds and experiences to join us in working toward MSF's social mission. Role Overview The Senior Azure Engineer will report to the Director of Infrastructure, ensuring that the overall work within the Systems team flows smoothly and drives operational efficiency and effectiveness and strategic alignment. The experienced Senior Azure Engineer should have a strong background in programming and will join our team on-site. In this role, you will be responsible for designing, implementing, and maintaining Azure-based solutions while leveraging your programming expertise to optimize cloud infrastructure and application performance. You will collaborate with cross-functional teams in a dynamic, in-person environment to deliver scalable, secure, and efficient cloud solutions that align with business objectives. Ideally, you will combine your technical skills and have project management experience to drive the key strategic technology initiatives in the Systems department for our Strategic Plan. Department Accountabilities Infrastructure and Network Development and Maintenance Develop and maintain the (on-premises and Azure) infrastructure and network including network planning, operational tasks, data management, incident logging, reporting, systems monitoring, systems testing and disaster recovery. Support Users and Business Units Provide support, advice, training and assistance to users to resolve queries and ensure the applications/website capabilities are well understood by MSF-USA. Product Development & Innovation Develop existing and new applications by analyzing and identifying areas for modification to improve the "As Is" and meet MSF needs. Information Security Develop specifications for, advise on and implement information and security solutions and tools to protect and monitor security incidents and prevent unauthorized access or damage. Support MSF Movement Support technology operations on behalf of the movement in the US home society. Share expertise with the rest of the movement by participating in Communities of Practice, and other collaborating initiatives. Application Management Implement applications, including data migration, to support MSF Strategy. Provide governance designed to ensure applications run at peak performance and as efficiently as possible, from the end-user experience to integrations. Implement and support new features as needed. Ensure access administration and support end-users. Roles Specific Outcomes Infrastructure/Network Development, Maintenance and Modernization Participate in the development of architecture blueprints for related systems. Design and select storage, data center, network, and client/server environments to design solutions in line with industry best practice and provide a third-line point of escalation for appropriate global infrastructure solutions. Technical Developments Recommendations Discuss and recommend technical developments to improve quality of the website/portal/applications software and supporting infrastructure to better meet users' needs. Software Development Develop existing applications and contribute to development of new applications by analyzing and identifying areas for modification and improvement. Develop new applications to meet customer requirements Business Requirements Identification Collect organizational requirements using a variety of methods such as interviews, document analysis, workshops, and workflow analysis to express the requirements in terms of target user roles and goals. Information Security Implement and provide input on the design of required security measures such as firewalls or message encryption, monitoring performance to notify security experts of any problems. Information and Business Advice Provide specialist advice on the interpretation and application of policies and procedures, resolving queries and issues and referring to very complex or contentious issues to others. Stakeholder Management Plan and deliver stakeholder engagement activities to develop effective project working relationships and to ensure that stakeholder needs and concerns are identified and met. Reporting and Review Specify and lead the delivery of the review process to ensure that stakeholders can evaluate progress and agree on change at appropriate points. Procedural Improvement Lead on procedural development and improvement, informed by policy and operating frameworks, to improve the quality, effectiveness, and efficiency of services. Support MSF Movement Lead assigned projects and coordinate any necessary dependencies with MSF-Shared IT Services (Prague). Complexity and Problem-Solving Skills Works effectively in situations where requirements are incomplete or evolving, clarifying objectives, making informed assumptions, and driving progress without waiting for perfect information. Structured approach to complex problems: Breaks down large, interconnected technical and organizational challenges into manageable components, identifies root causes, and develops solutions that balance short?term needs with long?term sustainability. Identifies and evaluates risks, issues, dependencies, and constraints associated with the project, escalating where appropriate. Where necessary, develop, agree on, and implement solutions to overcome these. Behavioral Competencies THOUGHT: How MSF USA staff understand the organization, manage complexity, and contribute by creating the new and different. People Focus Builds strong relationships and delivers solutions geared to aiding others. Solicits feedback and data; conveys a clear understanding of the level of service the team is providing; takes action when standards are not met by team; aligns processes with organizational needs. Manages Complexity Makes sense of complex, high quantity, and sometimes contradictory information to effectively solve problems. Consistently looks at complex issues from many angles; obtains a rich and deep understanding; swiftly cuts to the core issue; skillfully separates root causes from symptoms. Global Perspective Takes a broad view when approaching issues, using a global lens. Shows global thinking at work; adjusts organizational practices to meet the unique needs of different regions or countries. Uses a broad perspective when addressing issues and challenges. Cultivates Innovation Creates new and better ways for the organization to be successful. Approaches professional work in unique or innovative ways. Offers original ideas. Appreciates others' creative ideas and solutions and provides helpful input to enhance them. Strategic Mindset Sees ahead to future possibilities and translates them into breakthrough strategies. RESULTS: MSF USA staff achieve results by cultivating a forward-thinking environment that produces solutions for changing stakeholder needs. Drives Results Consistently achieves results, even under tough circumstances. Regularly pushes self to achieve outstanding outcomes; consistently establishes bold goals for own performance; is passionate about excellent results and significant contributions. Shows great tenacity to complete goals/initiatives in a timely way. Ensures Accountability Holds self and others accountable to meet commitments. PEOPLE: MSF USA staff understand their impact on others through collaboration and inclusion of different perspectives to achieve common goals. Collaborates Builds partnerships and works collaboratively with others to meet shared objectives. Readily involves others to accomplish goals; stays in touch and shares information; discourages "us versus them" thinking; shows appreciation for others' ideas and input. Communicates Effectively Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences. Listens attentively and takes an interest. Keeps others well informed; conveys information clearly, concisely, and professionally when speaking or writing. Values Differences Recognizes the value that different perspectives and cultures bring to an organization. Confronts stereotyping and offensive comments promptly. Consistently behaves with great sensitivity toward differences in cultural norms, expectations

Lead Solution Engineer Taktile is transforming how financial institutions leverage AI for critical decisions. We're growing rapidly with enterprise customers across financial services, and we're looking for a Lead Solution Engineer to join our pre-sales team and help demonstrate the power of AI-driven decision-making to the world's leading financial institutions. As a Lead Solutions Engineer focused on enterprise pre-sales, you are the technical bridge between our enterprise prospects and our AI-powered decisioning platform. You will partner with the Sales Team to architect AI-driven solutions for the world's most innovative financial institutions. Your mission is to secure the technical win by demonstrating how Taktile leverages Generative AI and advanced ML to solve complex credit, risk, and fraud challenges. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about cutting-edge technology, stay up to date on the latest AI developments, and have a few years of hands-on experience with Python, APIs, and modern AI models in customer-facing environments - all while thriving in a an awesome team that empowers you to grow, then we think you'll love this job! About You You excel at navigating complex Enterprise organizations with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You have 3+ years of hands-on experience writing production Python code You are curious and customer-centric. You enjoy learning about our customers' and prospects' businesses and helping them solve challenges. You are able to plan and manage the technical scope of Proof of Concepts (POCs) and technical evaluations. You excel at managing multiple high-stakes prospects simultaneously while partnering with Sales to drive deals to close You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You have a proven track record of supporting high-contract-value enterprise deals. You understand that winning an enterprise deal requires more than just good codeit requires strategic positioning, deep discovery, and the ability to handle complex technical objections. You are open to a hybrid work model and can work from our NYC office at least three days per week. What You'll Do You help scale the impact of the Solutions function by creating reusable collateral, establishing solution patterns, and mentoring others on customer engagement and technical strategy. You discover and translate customer's strategic priorities and problem statements into high impact Agentic AI use cases leveraging Taktile during the sales process and throughout the Enterprise sales cycle, focusing on uncovering high-value AI use cases that justify significant investment and strategic partnership. You lead the design and execution of proof-of-value projects that combine customer data, ML/AI models, and Taktile's platform to demonstrate strategic ROI. You build technical prototypes and demos leveraging the Taktile platform that simulate production-grade integrations and workflows. You collaborate with partners and customers to design and build solutions in Taktile's Agentic Decisioning Platform. You lead proof-of-value projects and can communicate the value opportunity of a full implementation and the corresponding strategic roadmap to senior stakeholders up to C-level executives. You work with product management to share competitive intelligence and prospect insights gathered during the sales process, helping shape Taktile's AI product roadmap and positioning strategy. You lead the discovery for new use cases and implement them on the platform to assess product-solution fit. You provide feedback to our product team and share results of your discovery with go to market functions. Ideal, But Not Required You have experience operating in a technical leadership rolewhether by owning strategic accounts, mentoring junior team members, or shaping solution strategy at scale in a high-growth environment. Live for Customer Value: You have at least 5-7 years of experience working within Enterprise Solution/ Sales Engineering in B2B SaaS, or in a senior technical consulting role Technical expertise: You have deep expertise with enterprise-level infrastructure and architecture, including a extensive understanding of APIs. You have experience building, tuning, or deploying ML models (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow) in production settings Experience with AI use cases in financial services (e.g. fraud detection, credit scoring, underwriting) is a strong plus. You are comfortable explaining how a model works to both a technical stakeholder such as a CTO and domain experts such as Credit Risk Managers You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc). Our Offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears About Us Taktile helps financial institutions make smarter, safer decisions with the power of AI. Our software gives teams the tools to automate complex decisions like who to onboard, how to underwrite, or when to flag suspicious activity with full visibility and control. By combining AI with a rich ecosystem of financial data, Taktile enables companies to adapt their decision-making in real time as markets, customer behavior, and risks evolve. Our mission is to build the world's leading platform for automated decision-making in financial services setting the standard for how AI is applied responsibly and effectively in this industry. We were founded by machine learning and data science experts with deep experience in financial services. Today, our team works across Berlin, London, and New York, bringing together engineers, entrepreneurs, and researchers from companies like Google, Amazon, and Meta, as well as fast-growing startups and enterprise leaders. Backed by top investors including Y Combinator, Index Ventures, Balderton Capital, and Tiger Global, along with the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath - we're building a world-class organization across all functions and levels to power the next generation of AI-driven decision-making in financial services.