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

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

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

Senior Manager, Machine Learning Engineer\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • \n The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: \n • \n Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams \n • \n Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale \n • \n Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI \n • \n Use programming languages like Python, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) \n • \n At least 6 years of experience programming with Python, Java, Golang, or C++ \n • \n At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) \n • \n At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data \n • \n At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems \n\n \n Preferred Qualifications: \n\n • \n Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field \n • \n 5+ years of experience optimizing ML algorithms, configurations, and infrastructure \n • \n 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n • \n 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans \n • \n 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) \n • \n 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models \n • \n ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents \n • \n Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Sr. Manager, AI Engineer (IFX)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One \n • \n Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One \n • \n Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI \n • \n Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts \n • \n Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems \n • \n Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 1 year of people leadership experience \n\n \n Preferred Qualifications: \n\n • \n 3 years of experience managing and leading an engineering team \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery \n • \n Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance \n • \n Track record mentoring engineers/scientists to productize prototypes and meet production SLOs \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

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

Job Description Solar Foreman / Project Manager – Lead Utility-Scale & Commercial PV Installations with PSG Energy Services Job Overview: • Company: PSG Energy Services, • Salary/Pay Rate: $95,000 to $105,000 per year, • Location: Nationwide Travel, • Job/Employment Type: Full Time, • Project Scope: Commercial and Utility-Scale Solar PV Projects, • Mandatory Licenses & Certifications: Valid Driver's License The Opportunity: You will serve as the primary on-site leader managing commercial and utility-scale solar PV installations nationwide. This hands-on role gives you complete site ownership to direct subcontractors, solve complex engineering challenges, and ensure high-quality execution from mobilization through commissioning. How You Will Make an Impact: • Field & Project Management, • Serve as the primary on-site representative for solar construction projects., • Manage daily construction activities from mobilization through substantial completion and closeout., • Direct and coordinate subcontractors, electricians, equipment operators, testing contractors, and other trades., • Develop and manage daily and weekly work plans to maintain the project schedule., • Track manpower, production, equipment, deliveries, and overall construction progress., • Identify schedule risks and field issues early and develop corrective action plans., • Coordinate site activities with the Project Manager, engineering team, customer, utility, AHJ, and other stakeholders as required., • Lead daily subcontractor coordination and planning meetings., • Maintain accurate daily reports, progress photographs, manpower counts, and construction documentation., • Review subcontractor work against contract scope and identify out-of-scope work or potential change-order conditions., • Assist with project turnover, punch lists, commissioning, inspections, and final closeout., • Solar Construction, • Supervise installation of commercial rooftop, carport, and ground-mount PV systems., • Understand and oversee:, • PV module installation, • Ballasted and mechanically attached rooftop racking, • Ground-mount racking and foundations, • DC string wiring and wire management, • Combiner boxes and DC equipment, • Inverters and power conversion equipment, • AC collection systems, • Disconnects and switchgear, • Transformers, • Underground conduit and trenching, • Grounding and bonding, • Equipment pads and foundations, • Communications and monitoring systems, • Rapid shutdown systems, • Verify equipment installation meets manufacturer requirements, approved drawings, specifications, and applicable codes., • Understand equipment clearances, mounting requirements, environmental requirements, conduit entry requirements, sealing, drainage, and equipment protection., • Perform or oversee basic electrical and mechanical troubleshooting., • Coordinate startup, commissioning, testing, and utility/PTO activities., • Safety Responsibilities, • Maintain a strong safety culture and enforce all company and site-specific safety requirements., • Conduct daily pre-task planning and Job Hazard Analysis/JSA meetings., • Verify subcontractors are following approved safety plans and procedures., • Identify unsafe conditions and immediately stop work when necessary., • Understand electrical hazards associated with energized PV systems., • Maintain appropriate OSHA documentation and site safety records., • Coordinate LOTO procedures when required., • Understand fall protection, excavation safety, equipment operation, electrical safety, and PPE requirements., • Immediately document and report incidents, near misses, property damage, and safety concerns., • Quality Control, • Inspect work continuously rather than waiting until project completion to identify deficiencies., • Verify construction against:, • IFC drawings, • Electrical one-lines, • Equipment layouts, • Structural drawings, • Manufacturer installation manuals, • Project specifications, • NEC requirements, • Approved submittals, • Maintain project punch lists and ensure deficiencies are corrected promptly., • Verify proper equipment mounting, torque requirements, grounding, wire management, labeling, conduit installation, weatherproofing, and sealing., • Document concealed work before it is covered., • Maintain photographs and records sufficient to document construction quality., • Coordinate required testing and commissioning documentation. Required Qualifications & Experience: • 5+ years of commercial or utility-scale solar construction experience preferred., • Previous experience as a Solar Foreman, Superintendent, Assistant Superintendent, Construction Manager, or Solar Project Manager strongly preferred., • Strong understanding of commercial PV electrical and mechanical installation., • Ability to read and interpret:, • Construction drawings, • Electrical one-lines, • Three-line diagrams, • Site plans, • Equipment layouts, • Structural details, • Manufacturer installation manuals, • Project specifications, • Working knowledge of the National Electrical Code (NEC) as it applies to solar PV installations., • Understanding of AC and DC electrical systems., • Knowledge of commercial solar inverters, disconnects, switchgear, transformers, racking systems, and monitoring equipment., • Ability to identify improper installation methods and quality issues., • Strong construction sequencing and scheduling skills., • Experience managing subcontractors and field crews., • Ability to manage multiple trades and work activities simultaneously., • Strong troubleshooting and problem-solving abilities., • Ability to make sound field decisions while recognizing when engineering or management approval is required., • Strong written and verbal communication skills., • Ability to communicate professionally with customers, subcontractors, inspectors, engineers, utilities, and internal management., • Comfortable using computers, tablets, email, Microsoft Office, PDF drawings, and construction/project-management software., • Ability to maintain organized project documentation. Preferred Qualifications & Experience: • OSHA 30 certification., • NFPA 70E training., • First Aid/CPR certification., • NABCEP certification or solar-specific training., • Electrical background or electrical license., • Experience with commercial rooftop and ground-mount solar., • Experience with SolarEdge, CPS, APS, or similar commercial inverter platforms., • Experience with IronRidge, EcoFoot, Unirac or similar racking systems., • Experience coordinating utility interconnections and commissioning., • Experience operating or supervising operation of forklifts, telehandlers, skid steers, lifts, and other construction equipment. Leadership Expectations The Solar Foreman / Project Manager is expected to take ownership of the job site. The successful candidate must be able to: • Lead crews and subcontractors firmly and professionally., • Hold subcontractors accountable for schedule, quality, safety, and workmanship., • Anticipate problems instead of simply reporting them after they occur., • Develop solutions to field problems and communicate them quickly., • Keep management informed of project status, risks, delays, and major decisions., • Protect completed work and owner property., • Maintain an organized and professional job site., • Understand when field changes require engineering approval., • Represent the company professionally with customers and project stakeholders., • Remain productive and organized while working independently with limited day-to-day supervision. Travel Requirements Extensive nationwide travel is required for this position. • Candidate should expect to travel approximately 50-75% of the time, depending on project workload., • Projects may require being away from home for multiple consecutive weeks., • Overnight stays and extended project assignments are expected., • Some weekend travel may be necessary based on project schedules., • Must have a valid driver's license and acceptable driving record., • Must be comfortable traveling by vehicle and commercial airline., • Must be flexible regarding project location and changing construction schedules. Physical Requirements • Ability to work outdoors in varying weather conditions, including heat and cold., • Ability to walk active construction sites and uneven terrain for extended periods., • Ability to climb ladders and access commercial rooftops when required., • Ability to safely lift and carry construction materials and equipment as necessary., • Ability to work around heavy equipment and active electrical construction., • Ability to perform work at heights while using required fall-protection equipment. Compensation & Benefits: • Competitive pay package tailored to field experience., • Performance-based and project completion bonuses., • Per diem and travel expense coverage for nationwide project assignments., • 401(k) retirement savings program with employer matching., • Comprehensive medical, dental, and vision insurance coverage., • Health Savings Account (HSA) and life insurance options., • Paid time off including paid holidays, vacation, and sick leave., • Provided safety equipment along with ongoing OSHA and technical certifications. About Us: PSG Energy Services specializes in commercial, industrial, and utility electrical and renewable energy solutions. We pride ourselves on being creative and adaptable problem-solvers who focus on driving measurable success for our clients. Learn more about our team and projects at https://www.psg-energy-services.com/ PSG Energy Services is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, gender expression, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or any other status protected by law or regulations. It is our intention that all qualified applicants be given equal opportunity and that selection decisions be based on job-related factors.

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

Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One \n • \n Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One \n • \n Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI \n • \n Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts \n • \n Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems \n • \n Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 1 year of people leadership experience \n\n \n Preferred Qualifications: \n\n • \n 3 years of experience managing and leading an engineering team \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery \n • \n Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance \n • \n Track record mentoring engineers/scientists to productize prototypes and meet production SLOs \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 (Manager, IC)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Chicago, IL: $179,400 - $204,700 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

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

Position: Senior Product Manager Location: New York, NY (Hybrid – 4 days onsite per week) Duration: DIRECT HIRE – FULL TIME Summary: We are seeking a Senior Product Manager to lead AI-powered products used by clinicians to review patient context, make informed decisions, and complete documentation. You will deliver solutions within major health systems while partnering with engineering, AI/ML, clinical, design, and client-facing teams. Skills/Experience Needed: • Healthcare or health-tech product management experience., • Experience building clinician-facing tools, products, or features., • Experience with clinical workflows and EMR/EHR integrations; Epic experience is highly preferred, although other EMR/EHR platforms may be considered., • Experience launching clinician-facing products on EMR or EHR platforms., • 4+ years of product management experience delivering consumer-facing or B2B2C software., • Experience owning at least one product end-to-end, from an ambiguous problem through launch., • Experience working with AI/ML-powered products, including an understanding of non-deterministic behavior, model evaluation, and AI behavior as part of the product experience., • Strong analytical skills, including independently analyzing data and defining product metrics., • Experience operating in regulated, high-stakes environments., • Client-facing experience presenting to and working with clinical, operational, and executive stakeholders. Responsibilities: • Own clinician-facing products, including intake summaries, AI-generated patient context, review and override workflows, and documentation-support tools., • Manage the end-to-end encounter workflow, from AI-gathered context through clinical decision-making and documentation., • Define how AI-generated information, reasoning, and confidence are presented to clinicians., • Design workflows that allow clinicians to review, correct, or override AI-generated outputs., • Reduce clinical workload by saving time, removing unnecessary clicks, and decreasing documentation burden., • Work directly with practicing physicians to ensure product workflows reflect real clinical behavior., • Partner with clinical leadership on safety reviews and escalation protocols., • Translate clinical trust and safety requirements into measurable, implementable product behavior with engineering and AI/ML teams. Preferred: (Nice to have) • Clinical experience or significant experience working directly with clinicians., • Hands-on experience with LLM evaluation, prompt design, or model-behavior testing.

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

At Percy, we're building new ways to connect talented professionals with meaningful career opportunities at leading companies in the multifamily industry. We're currently seeking an Affordable Housing Compliance Expert to join a product and affordable compliance team based in New York, NY. This is not a compliance seat at an operator. Part of the job is looking at a tenant income certification the software-generated and marking what it got wrong, line by line. Part is sitting with compliance teams at large affordable operators to hear what they need. Part is telling product and engineering what to build next. If you've spent your career doing the paperwork, this is the chance to fix it instead. What you'll do • Review system-generated tenant income certifications and eligibility determinations, find the errors, and explain why they're wrong in terms an engineer can act on, • Translate LIHTC, HUD, and USDA RD requirements into clear product guidance, • Work directly with customers to gather programmatic needs and edge cases, • As the product scales, guide the team doing manual review What we're looking for • You have personally completed tenant income certifications, recertifications, and eligibility file reviews from source documents, and you're willing to keep doing that work near-term, • Real depth in LIHTC plus at least one HUD program (PBRA, HCV, PBV, 202/811). USDA RD is a plus, • Roughly 4–6 years in affordable compliance, flexible in either direction. Your title today might be Compliance Specialist, Compliance Manager, Property Manager, Occupancy Specialist, or Housing Specialist at a PHA, contract administrator, or compliance vendor, • Clear communicator with technical teams. No coding required, • COS, TCS, HCCP, SHCM, MORS, or CPO preferred. If you're strong without one, they'll pay for it, • Bachelor's Degree required What you'll get • $125,000–$200,000 base depending on depth. No bonus structure; equity is part of every offer, • Medical and dental, • Midtown office with all meals covered, $50/month fitness stipend, $500/quarter for movers, tax prep, and life admin, • Relocation support provided

We're looking for a project manager with scrum master experience to support delivery across our change portfolio. This role owns ceremonies, keeps issue/risk/decision logs current, and communicates milestones and dependencies to stakeholders across the business. Candidates must have experience within a buy-side firm, either as an employee or as a consultant working with buy-side clients, ideally embedded on-site. This is a delivery seat, not a learning seat, so you should be comfortable working independently in a lean team with limited hand-holding. Nice to have: exposure to Private Credit, Syndicated Loans, CLOs, Real Estate/Infrastructure (debt and/or equity), HY & IG Bonds, or Insurance Asset Management. Familiarity with our core systems (Aladdin, eFront, iLevel, FactSet, LevPro) is a plus, as is experience with translatable systems such as Sentry, WSO, Allvue/Black Mountain, Geneva, VPM, SkyRoad, PAM, or Oxane. We'd also value experience implementing vendor systems, building data and AI platforms (Snowflake, Databricks, MS SQL, etc.), or a software engineering background. They'll need someone who's fully authorized to work in the US without any sponsorship / visa (cannot support H1B). C2C must be through your own LLC (CANNOT be through an employer) and if need be we can do W2 at a reduced rate. This is a hybrid (NYC) 12 month contract. The role requires 4 days per week onsite and 1 day remote, and candidates need to be able to commit to that schedule from day one.

Sr Plumbing Project Manager – Commercial Construction Location: Location: Brooklyn, NY / NYC Metro Project Sites Project Location: This position will initially be assigned to a major construction project in Brooklyn, NY. Upon completion of the project, the Project Manager will transition to other major project sites throughout the New York City metropolitan area based on project needs. They have an office right next to the site. This is a full-time, on-site construction management position and requires the ability to work at active project sites throughout the NYC Metro area. Compensation: $190,000–$225,000+ base salary, depending on experience plus choice of Company vehicle or car allowance and bridge and toll allowance. Employment Type: Full-Time About the Opportunity A leading NYC-area specialty mechanical contractor is seeking an experienced Plumbing Project Manager to manage major commercial and institutional plumbing projects throughout the New York City metropolitan area. This position is ideal for a Project Manager who has spent their career working for a mechanical or plumbing contractor and has personally managed the plumbing scope of large, complex construction projects from preconstruction and procurement through field execution, commissioning, and closeout. The company performs large-scale mechanical construction throughout the public and private sectors, including complex commercial, institutional, infrastructure, and high-profile NYC projects. Responsibilities The Plumbing Project Manager will be responsible for the overall execution and financial performance of assigned plumbing projects, including: • Manage commercial plumbing projects from start through completion, including planning, budgeting, procurement, scheduling, field coordination, change management, and closeout., • Take ownership of projects generally ranging from $4 million to $40+ million in plumbing scope., • Review and interpret plumbing drawings, specifications, contracts, schedules, and scopes of work., • Coordinate installation of domestic water, sanitary, storm, gas, drainage, piping, fixtures, equipment, and related plumbing systems., • Work closely with field supervision and union trades to establish manpower requirements, sequencing, schedules, and installation priorities., • Coordinate plumbing work with HVAC, fire protection, electrical, structural, architectural, and other MEP trades., • Manage material and equipment procurement, vendor relationships, subcontractors, and delivery schedules., • Prepare and manage RFIs, submittals, change orders, cost reports, project documentation, and project schedules., • Track project costs, labor productivity, material expenditures, committed costs, and overall project profitability., • Identify scope gaps, constructability issues, design conflicts, and potential cost or schedule impacts., • Review site conditions with field teams and resolve issues affecting installation or delivery of materials and equipment., • Participate in BIM/MEP coordination and review coordinated drawings to identify clashes and installation conflicts., • Interface directly with owners, construction managers, general contractors, architects, engineers, inspectors, subcontractors, vendors, and public agencies., • Maintain regular communication with project stakeholders and adjust manpower, procurement, and schedules as project conditions change., • Ensure work is performed in accordance with approved drawings, specifications, applicable NYC codes, safety requirements, and quality standards., • Drive projects toward successful completion on schedule and within budget. Qualifications • 10+ years of construction/project management experience, preferably with a mechanical or plumbing contractor., • Strong background managing commercial plumbing construction projects., • Proven experience personally managing significant plumbing scopes, ideally in the $4 million–$40+ million range., • Experience with large, complex NYC or NYC Metro construction projects strongly preferred., • Strong understanding of commercial plumbing systems, piping, equipment, fixtures, installation methods, and construction sequencing., • Ability to read and interpret plumbing drawings, specifications, contracts, schedules, and other construction documents., • Strong understanding of project budgeting, cost control, procurement, scheduling, change-order management, and labor/manpower planning., • Experience coordinating plumbing installations with other mechanical and building trades., • Strong leadership, organizational, communication, and problem-solving skills., • Ability to manage multiple priorities in a fast-paced construction environment., • Working knowledge of Microsoft Excel, Word, Outlook, Bluebeam/Adobe, and project management software., • Experience with Navisworks, AutoCAD, Revit, BIM coordination, or similar construction technology is a plus., • Associate's or Bachelor's degree in Construction Management, Mechanical Engineering, Civil Engineering, or a related field preferred; equivalent extensive plumbing construction experience will be considered. Ideal Background We are particularly interested in candidates who have worked directly for a large mechanical or plumbing contractor and can demonstrate ownership of substantial plumbing projects. The successful candidate should be able to clearly discuss projects where they personally managed the plumbing scope, budget, schedule, manpower, procurement, field execution, change orders, and client/GC relationships. This is not primarily a general construction management position. We are seeking someone with hands-on plumbing construction knowledge who understands how major plumbing projects are actually bought, coordinated, installed, managed, and delivered in the field. Compensation $190,000–$225,000+ base salary, depending on experience and the size and complexity of projects previously managed plus company vehicle or car allowance (Your choice) and bridge and toll allowance Applicants must be authorized to work in the United States without current or future employer-sponsored visa assistance. Equal Opportunity Employer

Capstone Recruitment is representing a rapidly expanding Cost Consultancy headquartered in New York, with additional offices across the Mid-West and West Coast. The business has undergone significant growth over the last few years and recently entered into a strategic partnership with a leading global consultancy, creating new opportunities for collaboration and international exposure. The company has successfully delivered independent cost and project delivery services to a wide range of Fortune 500 companies across multiple sectors, including technology, data centers, and manufacturing. The Role – Cost Manager This is an excellent opportunity for a skilled Cost Manager to join a fast-growing consultancy with clear progression pathways. You’ll take ownership of cost management responsibilities across a variety of high-profile projects, providing expert advice and ensuring successful delivery from inception to close out. Key Responsibilities: • Prepare Order of Cost Estimates, Cost Plans, Tender Documents, and Contract Documents., • Lead cost reporting and financial management across projects, ensuring robust tracking of budgets, forecasts, and cashflow., • Administer and chair cost meetings, ensuring accuracy and timely distribution of documentation., • Manage contractor cost submissions, variations, and change orders., • Utilize the company’s cost management platform to monitor and report project financials., • Partner with Project Managers during construction to review schedules, provisional sums, and CDP packages., • Oversee monthly assessments, valuations, and preparation of final accounts., • Produce detailed monthly reports and ensure accurate financial tracking of all projects., • Mentor and support junior team members where appropriate. Minimum Qualifications: • Bachelor’s degree in Construction, Quantity Surveying, or a related field., • 4–8 years’ experience in construction cost management or quantity surveying., • Proven experience across both pre- and post-contract phases., • Strong knowledge of construction, engineering, and architecture principles., • U.S. citizenship, existing/transferable right to work in the U.S., or eligibility for an E2 or E3 visa., • Proficiency in Microsoft Office applications and cost management software. Why Join? • Be part of a consultancy with a start-up mentality but the backing of a global partner., • Work with innovative, high-profile clients across a diverse range of sectors., • Join a supportive, collaborative team culture that values career progression., • Benefit from excellent long-term growth opportunities in a company still at the forefront of its expansion journey.

Company Overview: GagaMuller is a Project Management Consultancy with specific divisions focused on providing Project Management, Cost Management, and Digital services to owner organization within the construction industry. With a proven track record working alongside global technology leaders and data center developers, we combine local expertise with global standards to ensure projects are delivered on time, on budget, and to the highest quality. At GagaMuller, we empower people and organizations to build with data. Role Description: We are looking for a Cost Manager to join GagaMuller. You will collaborate with experienced, diverse, and passionate teams, fostering a strong social dynamic and collective sense of achievement. This role offers you extensive industry exposure, helping you broaden your skills, open doors to new opportunities, and expand your perspective. We are committed to empowering you, providing real responsibility, and supporting your career growth through mentorship from industry leaders and the tools you need to succeed. You will also contribute to shaping our business strategy as we continue to grow. At GagaMuller, building lasting, trusted relationships with our teams and clients is at the core of what we do. With a market-leading client base and the opportunity to take the lead on strategic commissions and high-profile projects, this is an exciting time to join the business unit and grow a career with GagaMuller. The Opportunity GagaMuller is supporting the delivery of major hyperscale data center developments across the United States. As a Cost Manager, you will support the commercial management of major construction packages on behalf of the client, ensuring robust cost planning, procurement, cost reporting, forecasting, change management, and financial governance throughout the project lifecycle. Working closely with Project Managers, Construction Teams, Design Teams, Project Controls, Procurement, contractors, and client stakeholders, you will provide commercial leadership across planning, procurement, construction, commissioning, and handover phases. This role offers the opportunity to contribute to some of North America's largest mission critical developments while developing expertise within a fast-paced international construction environment. Responsibilities • Scope & Delivery Management, • Manage the commercial delivery of construction packages throughout the project lifecycle., • Prepare and maintain project budgets, forecasts, and cost plans., • Review contractor applications for payment, valuations, and commercial submissions., • Monitor project costs against approved budgets and identify cost risks and opportunities., • Support procurement activities including tender preparation, tender evaluation, and contract award recommendations., • Manage change control processes, variations, and commercial assessments., • Support final account negotiations and project close-out activities. 1. Stakeholder Coordination • Work closely with Project Managers, Design Teams, Construction Teams, Procurement, Project Controls, and contractors., • Attend commercial meetings, project reviews, and client progress meetings., • Coordinate commercial inputs across multidisciplinary project teams., • Provide commercial advice and cost reporting to client stakeholders., • Develop strong working relationships with contractors, consultants, and supply chain partners. 1. Risk & Compliance Management • Identify and manage commercial risks throughout the project lifecycle., • Review and assess variations, change events, and contractual implications., • Support contract administration in accordance with project requirements., • Monitor contractor commercial performance and contractual compliance., • Ensure commercial activities comply with project governance procedures and client reporting requirements. 1. Reporting & Documentation • Prepare monthly cost reports, forecasts, and executive commercial dashboards., • Maintain cost plans, change registers, risk registers, and procurement trackers., • Produce earned value analysis, cash flow forecasts, and financial reporting., • Support preparation of executive reporting and client presentations., • Maintain accurate commercial documentation throughout the project lifecycle. 1. Collaboration & Integration • Work collaboratively with Project Controls, Construction, Procurement, BIM, Design, Quality, Safety, and Commissioning teams., • Support integration between commercial reporting, project schedules, procurement, construction, and commissioning activities., • Promote commercial best practice across the project., • Contribute to continuous improvement initiatives within the Cost Management function., • Promote a proactive, collaborative, and solutions-focused approach to project delivery. Qualifications • Degree qualification in Quantity Surveying, Construction Economics, Engineering, Construction Management, or a related discipline., • Strong understanding of cost management, commercial management, and contract administration principles., • Experience using CostX, Cubit, Excel, Power BI, or equivalent commercial software., • Excellent communication, organizational, and stakeholder management skills., • Strong analytical capability with the ability to interpret commercial and financial project data. What Experience We Are Looking For • 5+ years' experience within Cost Management, Quantity Surveying, or Commercial Management on major construction projects., • Experience working in consultancy, client-side, or main contractor environments., • Experience delivering hyperscale Data Centres, Mission Critical, Industrial, Semiconductor, Pharmaceutical, Energy, or major Infrastructure projects., • Demonstrated experience managing procurement, cost reporting, forecasting, valuations, change management, and final accounts., • Strong understanding of construction contracts and commercial administration., • Experience reviewing contractor commercial submissions and supporting project financial governance., • Familiarity with NEC, FIDIC, EPC, or other major construction contracts is advantageous., • Strong communication, commercial awareness, negotiation, and stakeholder management skills., • Ability to work effectively within multidisciplinary project teams and fast-paced construction environments. Benefits: • Comprehensive healthcare coverage., • Generous company pension contribution., • Competitive annual leave allowance and work-life balance benefits., • State-of-the-art technology and hardware., • Social and fitness initiatives for employee well-being., • Collaborative office environment that values teamwork and open communication., • Mentoring and professional development opportunities. Join GagaMuller and be part of a dynamic team that values your growth, well-being, and professional development. Apply now and contribute to our exciting projects that drive digital innovation and transformation.

A highly respected engineering consulting firm specializing in energy efficiency, sustainability, and high-performance building systems is seeking an experienced Energy & Retro-Commissioning Project Manager to join its growing New Jersey team. This is an opportunity to lead impactful projects that help clients improve building performance, reduce energy consumption, optimize HVAC operations, and achieve sustainability goals across complex commercial, institutional, healthcare, and laboratory facilities. What You'll Do • Lead energy audits, facility assessments, and retro-commissioning projects for existing buildings., • Perform field investigations and evaluate mechanical, HVAC, and control systems., • Conduct energy modeling and calculate energy savings using industry-standard tools and software., • Develop practical energy conservation measures and operational improvement strategies., • Manage project scope, schedule, budget, and client expectations on medium- and large-scale engagements., • Coordinate with owners, contractors, architects, and multidisciplinary engineering teams., • Prepare technical reports, presentations, and recommendations for clients and stakeholders., • Support ENERGY STAR®, LEED®, and Green Globes® assessment and certification efforts., • Participate in proposal development, client relationship management, and business development initiatives., • Mentor junior engineers and contribute to a collaborative, high-performing team culture. Required Qualifications • Bachelor's degree in Mechanical Engineering or Architectural Engineering from an ABET-accredited institution., • 10+ years of experience in building energy analysis, energy modeling, energy audits, and/or retro-commissioning., • Strong expertise in HVAC systems, mechanical equipment, and building controls., • Experience evaluating and improving performance within technically sophisticated buildings., • Proven project management experience with responsibility for client communication, project execution, and technical delivery., • Excellent written and verbal communication skills., • Ability to manage multiple priorities and deadlines simultaneously., • Authorization to work in the United States without sponsorship. Preferred Qualifications • Professional Engineer (PE) license., • LEED Accredited Professional (LEED AP)., • Experience with healthcare, life sciences, laboratory, or institutional facilities., • Certified Energy Manager (CEM), Certified Commissioning Professional (CCP), Building Energy Assessment Professional (BEAP), CPMP, or similar certification., • Active engagement in professional organizations such as ASHRAE, AEE, USGBC, IBPSA, or related industry groups. Why Join? • Work on meaningful projects that directly improve building performance, occupant comfort, and energy efficiency., • Lead complex studies and assessments for sophisticated facilities throughout the New York and New Jersey region., • Collaborate with respected engineers, sustainability professionals, and building performance experts., • Gain visibility with clients and play a key role in shaping project strategy and delivery., • Enjoy opportunities for professional growth, technical leadership, mentorship, and business development., • Become part of an employee-focused culture that values innovation, continuous improvement, and technical excellence.

Business Development Manager – Quintrix (A Mindlance Company) – Union NJ About Quintrix Quintrix is an innovative talent solutions company helping organizations build the next generation of technology talent through our Recruit-Train-Deploy (RTD) model. We partner with Fortune 1000 organizations to deliver custom-trained, U.S.-based talent in Software Engineering, Data & AI, Cloud, Quality Engineering, Mainframe, and other high-demand technical disciplines. As a wholly owned subsidiary of Mindlance, Quintrix combines the agility of a growth-stage business with the resources, reputation, and stability of one of the nation's leading workforce solutions companies. We are seeking entrepreneurial sales professionals who want to build something meaningful while leveraging the scale and credibility of an established market leader. Position Summary Reporting to the Managing Director, the Senior Account Executive will be responsible for identifying, developing, and expanding client relationships across enterprise accounts. This individual will drive new business leads for Quintrix's Recruit-Train-Deploy (RTD) and workforce transformation solutions while collaborating closely with the RTD practice leader, Mindlance account teams and delivery leaders. The ideal candidate is disciplined and consistent with outreach via calls, emails and linkedin. This candidate is a consultative seller who enjoys engaging with Engineering Leaders, Talent Acquisition Leaders, Workforce Planning Teams, HR Executives, and Business Leaders to solve talent challenges. Key Responsibilities • Own and drive consistent client prospecting resulting in discovery calls, • Identify client hiring challenges, workforce gaps, and talent transformation opportunities., • Position Quintrix's Recruit-Train-Deploy model as a strategic solution for early-career, emerging, and niche technology talent., • Generate and manage a healthy pipeline of opportunities through cold outreach, networking, referrals, and strategic account development., • Conduct discovery meetings and solution presentations with prospective clients., • Collaborate with delivery, training, and account management teams to develop customized client solutions., • Expand relationships within existing Mindlance accounts and identify opportunities to introduce Quintrix., • Achieve and exceed quarterly and annual sales goals., • Maintain accurate pipeline and forecasting information within CRM systems., • Travel as needed to support client meetings and business development activities. Qualifications Required • Bachelor’s or associate’s degree in business administration, Marketing, Management OR similar majors. Military experience can be a substitute., • 3-7+ years of successful B2B experience selling workforce solutions, staffing, managed services, RPO, talent development, learning services, or HR technology solutions., • Demonstrated success in prospecting, relationship building, and closing business., • Strong communication, presentation, and consultative selling skills., • A sense of urgency combined with a high standard of professionalism/integrity are a must, • Self-starter with a high degree of ownership, accountability, and resilience., • Ability to engage senior-level decision-makers and navigate complex organizations. Compensation & Benefits • Competitive Base Salary, • Commission Plan, • Comprehensive Benefits Package, • Career Growth Opportunities, • Hybrid Work Environment (4 days in Union NJ) Why Join Quintrix? • Sell a differentiated solution that addresses one of the biggest challenges facing enterprise organizations: building sustainable technical talent pipelines., • Leverage the reputation, client relationships, and scale of Mindlance while operating within a high-growth business., • Work alongside experienced workforce solutions professionals., • Make a measurable impact on client workforce transformation initiatives. About Mindlance Founded in 1999, Mindlance is a certified Minority Business Enterprise (MBE) and one of the nation's leading workforce solutions firms. • 25+ years in business, • $425M+ annual revenue, • National delivery footprint, • Multiple SIA recognitions as one of the fastest-growing staffing firms, • End-to-end workforce solutions including Staffing, MSP, RPO, EOR/AOR, Managed Services, and Early Career Talent Solutions through Quintrix, • Trusted partner to many Fortune 1000 organizations For more information, visit and online. Mindlance and Quintrix are Equal Opportunity Employers and are committed to creating an inclusive workplace for all employees.

Company Description The Group is a New York-based hospitality company renowned for transforming landmark locations into iconic restaurant destinations. With concepts such as the award-winning Omakase Room, Boucherie, and OLIO E PIÙ, The Group combines French, Italian, and Japanese culture with the vibrancy of urban American life. As the company expands nationally to cities like Chicago, Washington, D.C., and Miami, it draws inspiration from local culinary scenes and fosters deep connections within each community. Role Description The Construction Project Manager will oversee the planning, execution, and completion of construction projects for The Group Hospitality. This is a full-time, on-site role based in New York, NY, with up to 25% travel. Key responsibilities include coordinating construction processes, managing project timelines, budgets, and resources, liaising with contractors and vendors, ensuring adherence to quality and safety standards, and resolving any project-related challenges to ensure successful delivery. Qualifications • Experience in Project Coordination and Construction Project Management, • Strong skills in Budgeting and managing financial aspects of construction projects, • Expertise in Construction Management and Project Management methodologies, • Ability to analyze project risks and implement risk mitigation strategies, • Excellent communication, organizational, and leadership skills, • Proficiency with project management software and tools, • Knowledge of building codes, safety regulations, and permitting processes, • Bachelor’s degree in Construction Management, Engineering, Architecture, or a related field preferred, • Relevant certifications, such as PMP or equivalent, are a plus, • Restaurant construction experience required Compensation $120-$140k/yr, plus benefits

Contractor - Senior IT Project Manager Market & Credit Risk Delivery Contract | NYC | $750-950/day | C2C or 1099 (no W2) Position Overview: Our client is seeking an experienced Senior IT Project Manager to lead the delivery of technology initiatives supporting Market Risk, Credit Risk, and trading-related platforms. The role is responsible for driving multiple concurrent workstreams from requirements and solution planning through build, testing, production deployment, and transition to ongoing support. This position requires a delivery-focused project manager who can operate effectively across Risk, Technology, Engineering, QA, Change, and governance teams. The successful candidate will combine strong financial-services domain knowledge with practical SDLC fluency, regulatory delivery experience, and hands-on use of modern AI and automation tools to improve project execution. Key Responsibilities: Technology Delivery & Execution • Lead end-to-end execution of approximately 3–5 concurrent technology projects or workstreams, covering requirements, development, testing, implementation, and transition to BAU support., • Partner with engineering leads to manage sprint and release planning, backlog refinement, delivery velocity, dependencies, and impediment resolution., • Maintain detailed project plans, milestone schedules, RAID logs, dependency maps, and delivery forecasts, proactively identifying issues before they affect critical dates., • Work closely with Engineering and QA to reinforce disciplined SDLC practices, including code-review checkpoints, test coverage, release readiness, and production implementation controls., • Convert regulatory and risk-management requirements, including FRTB, BCBS 239, SA-CCR, or comparable frameworks, into executable technology plans and track delivery through completion., • Manage project financials and delivery capacity, including budget/run-rate tracking, resource planning, and vendor statement-of-work execution., • Use approved AI and automation tools, such as GitHub Copilot, Claude, Jira automation, or comparable platforms, to streamline requirements, test-case development, release documentation, meeting outputs, status reporting, and other SDLC activities., • Develop reusable AI-enabled delivery practices and templates that can be adopted across the broader project and engineering organization. Business, Change & Stakeholder Management • Serve as a primary technology delivery contact for Risk Management, business stakeholders, and partner teams, ensuring clear expectations, requirements, priorities, and scope., • Produce concise project reporting, dashboards, executive updates, and steering-committee materials that clearly communicate progress, risks, decisions, and required actions., • Manage scope changes and impact assessments through review, approval, and implementation., • Coordinate UAT, business readiness, deployment communications, and go-live activities in partnership with Change and business teams., • Provide accurate status, dependency, and risk information into broader program governance while retaining direct ownership of assigned projects and workstreams. Required Qualifications • 8+ years of technology project or program delivery experience within financial services, with direct exposure to Market Risk, Credit Risk, trading technology, or closely related platforms., • Demonstrated delivery of regulatory technology initiatives involving FRTB, BCBS 239, SA-CCR, or comparable risk and regulatory frameworks through production implementation., • Strong understanding of software delivery practices and the ability to work credibly with Engineering and QA teams on development, testing, release, and production-readiness activities., • Advanced hands-on experience with Jira and Confluence, including workflows, dashboards, project tracking, and management reporting., • Strong stakeholder-management and executive-communication skills, including risk escalation, status reporting, decision framing, and presentation of delivery options., • Working knowledge of quantitative risk concepts such as Value at Risk (VaR), Credit Valuation Adjustment (CVA), and P&L explain., • Strong discipline around RAID management, cross-team dependencies, milestone tracking, and delivery governance., • Working knowledge of project budget, resource, and vendor-management processes. AI & Automation Capability • Advanced practical user of AI-assisted productivity and software-delivery tools, with experience creating repeatable workflows for project documentation, meeting minutes, RAID management, test cases, reporting, and related delivery artifacts., • Ability to identify SDLC activities that can be safely automated or accelerated through AI while maintaining appropriate human review and quality controls., • Understanding of data-governance, confidentiality, security, and regulatory considerations associated with the use of AI tools in a regulated financial-services environment., • Willingness to share effective AI-enabled delivery patterns and help increase adoption across project and engineering teams. Success Profile Execution-oriented: Takes accountability for delivery outcomes rather than limiting the role to project tracking and reporting. Proactive problem solver: Works directly with teams to remove blockers, resolve dependencies, and drive decisions before escalating. SDLC fluent: Understands how software is designed, built, tested, released, and supported and can engage effectively with technical teams. Credible with Engineering & QA: Can challenge and validate test coverage, delivery risks, release readiness, and implementation plans. AI-enabled delivery mindset: Uses approved AI and automation tools routinely to improve speed, consistency, and quality and develops approaches that others can reuse.

Senior Product Manager – Enterprise Technology & AI-Enabled Delivery Please note: LinkedIn does not offer a contract-to-hire employment type. This role is posted as full-time, but the initial engagement will be approximately six months contract-to-hire, with the intention of converting to a permanent employee, subject to business needs and approvals. Direct applicants only – no third-party agencies. Interested in helping major enterprise organizations modernize how they manage and deliver technology products? We're partnering with a nationally recognized technology and business consulting firm seeking an experienced Senior Product Manager to support large-scale enterprise technology modernization and Agile transformation initiatives. This is a highly visible, hands-on consulting opportunity supporting a major New York-based utilities organization. You'll work directly with technology leaders, engineers, and cross-functional teams to improve product delivery, modernize processes, and drive measurable results across software, cybersecurity, infrastructure, and data initiatives. The ideal candidate combines strong product management fundamentals, SAFe, Azure DevOps, and exceptional client-facing communication skills, with an interest in leveraging AI and automation to improve how technology teams operate. Key Details • Level: Senior Product Manager (L3); select Principal-level (L4) candidates considered, • Structure: Approximately 6-month contract-to-hire with intended full-time conversion, • Location: Downtown Manhattan, New York City, • Hybrid: 3 days per week onsite with the client, • Travel: 0–10% anticipated outside local onsite attendance, • Contract Rate: Competitive, based on experience, • Potential FTE Base Salary Upon Conversion: $127,000–$150,000 (L3 / Senior Consultant); select candidates at the lower end of L4 / Principal Consultant may be considered, with base compensation starting around $170,000. What You'll Do • Lead hands-on product management and delivery, from discovery and requirements through backlog management, execution, and adoption., • Apply SAFe and Agile practices to improve planning, prioritization, and execution across enterprise technology teams., • Leverage Azure DevOps for user stories, backlogs, sprint planning, dependencies, and delivery tracking., • Partner with software engineering, cybersecurity, infrastructure, data/analytics, and business stakeholders to drive modernization initiatives., • Facilitate client workshops, manage scope and risks, and help teams navigate organizational change and adopt new ways of working., • Introduce automation, AI-assisted workflows, and measurable delivery improvements to increase productivity and execution efficiency. What We're Looking For • 5+ years of experience in Product Management, Product Ownership, technology consulting, or enterprise technology delivery., • Strong hands-on product delivery experience—not solely product strategy or high-level advisory work., • Practical experience with SAFe (Scaled Agile Framework) and the flexibility to adapt methodologies to client needs., • Experience using Azure DevOps for Agile planning, backlog management, and delivery execution., • Strong stakeholder management, communication, and client-facing capabilities, with the ability to operate independently in complex environments., • Experience driving process improvements, automation, Agile transformation, or organizational change., • Comfortable navigating ambiguity, managing multiple priorities, and delivering measurable outcomes. Especially Valuable: Consulting experience; utility/energy industry exposure; cybersecurity, infrastructure, or data/analytics product delivery; Scrum Master/RTE experience; and practical use of AI tools such as ChatGPT, Copilot, or Claude to improve product management workflows. Consulting experience is preferred but not required. Strong industry candidates with the right delivery experience, adaptability, and executive-facing communication skills are encouraged to apply. Why This Opportunity? Join a respected consulting organization supporting major enterprise transformation initiatives, with the opportunity to take meaningful ownership of delivery, collaborate with experienced technology leaders, and expand your expertise across Agile modernization, automation, and AI-enabled product management. This opportunity is designed with long-term potential in mind, offering the possibility of transitioning into a permanent consulting role and supporting a broader portfolio of enterprise technology initiatives.

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

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

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

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

Official Title: Senior Product Manager, Enterprise AI Platform Location: Hybrid, Midtown Manhattan, New York City Office expectation: Two to three days per week The Opportunity: Zaddy Solutions is leading the search for a Senior Product Manager on behalf of an established B2B software company with a AI software product line. The platform helps organizations manage how AI agents connect to business systems, tools, and data. It addresses areas such as authentication, permissions, system visibility, policy enforcement, auditability, and sensitive-data protection. This is a hands-on senior individual-contributor position with meaningful ownership over how the product develops and reaches the market. You will work closely with AI leadership, engineering, product design, customers, and go-to-market teams to turn technical capabilities and customer needs into a clear roadmap and shipped product improvements. The product and category are still developing. You will not inherit a mature playbook, extensive documentation, or a large product organization. You will help create the structure, priorities, customer-feedback loops, and operating rhythm needed to move the product forward. Previous ownership of a commercial Model Context Protocol product is not required. We are interested in candidates with relevant technical foundations who have built with modern AI systems and can quickly develop deeper expertise. Experience building, configuring, or experimenting with Model Context Protocol servers is strongly preferred, including professional projects, prototypes, open-source work, or credible independent development. What You Will Own: • Own and maintain the product roadmap, backlog, and prioritization process, • Translate customer problems and business objectives into clear requirements and acceptance criteria, • Partner closely with engineering and design from discovery through launch and iteration, • Interview customers, prospects, partners, and internal stakeholders to understand workflows and unmet needs, • Use product data, customer feedback, and market signals to guide decisions, • Define success metrics related to adoption, usage, reliability, customer value, and commercial performance, • Evaluate tradeoffs involving speed, complexity, usability, security, and business impact, • Support product launches in partnership with Sales, Marketing, and Customer Success, • Help connect the product to the company’s broader technology and data-governance strategy, • Establish lightweight, repeatable product-management practices without creating unnecessary process, • Participate in selected customer, partner, and industry conversations as a product expert What Success Looks Like in Your First Year: • Develop a strong understanding of the product’s architecture, capabilities, users, market position, and commercial potential, • Build effective working relationships across engineering, design, go-to-market, and company leadership, • Own a clear, evidence-based roadmap informed by customer feedback, usage data, technical priorities, and business goals, • Establish repeatable practices for discovery, prioritization, delivery, release management, and performance measurement, • Ship meaningful product improvements that strengthen usability, reliability, adoption, and customer value, • Position the product effectively within the company’s broader portfolio and go-to-market strategy, • Become a trusted internal authority who gives product, engineering, design, and commercial teams the clarity needed to execute What You Bring: • Approximately five or more years of product-management experience, • Meaningful ownership of an externally sold B2B SaaS product, • Experience taking products or major features from discovery through launch and iteration, • Experience working closely with engineering and design teams in a startup, growth-stage company, or similarly fast-moving environment, • Hands-on exposure to AI or LLM-powered products, including agents, tool calling, workflow automation, integrations, or retrieval, • Working knowledge of APIs, authentication, permissions, data flows, system integrations, and technical failure modes, • The ability to understand technical architecture and make informed product tradeoffs with engineers, • Experience collecting customer feedback and converting it into product priorities, • Strong quantitative reasoning and the ability to use data to evaluate product performance, • Clear writing, thoughtful communication, and sound decision-making, • The ability to move from an unclear problem to a practical recommendation without excessive process, • Comfort operating as a senior individual contributor without a large support structure, • Eligibility to work in the United States Particularly Relevant Experience in One or More of the Following Areas Would Be Especially Valuable: • Model Context Protocol, • AI agents and agent orchestration, • Developer platforms or developer tools, • API management and enterprise integrations, • Identity, authentication, or access management, • Data infrastructure, observability, or governance, • Enterprise security or privacy technology, • Workflow automation, • Zero-to-one product development Education: • A bachelor’s degree or equivalent practical experience is required., • A degree in computer science, engineering, information systems, human-computer interaction, design, business, or another analytical field may be helpful, but a specific degree or advanced degree is not required., • Demonstrated product judgment, technical fluency, and shipped work will carry more weight than academic pedigree. This Role May Not Be the Right Fit If: • Your experience is primarily limited to internal tools rather than commercially sold software, • You have advised on AI strategy but have not helped ship AI-enabled products, • You are primarily interested in managing people rather than personally owning product execution, • You require mature processes, extensive documentation, or a large product organization, • You are uncomfortable working directly with engineers on APIs, integrations, authentication, and system behavior, • You cannot work from the company’s Midtown Manhattan office two to three days per week Benefits include: • Employer-supported 401(k) plan, • 100% employee health-insurance coverage, • Paid vacation, • Hybrid workplace, • Professional-development opportunities, • Team events and company gatherings, • Flexible working practices, • Additional employee benefits and office amenities Why Consider This Opportunity? • Take meaningful ownership of a new product in an emerging enterprise technology category, • Work directly with the people responsible for the product’s original vision and development, • Help define how organizations securely connect AI agents to business systems, • Influence product strategy, customer adoption, and commercial direction, • Operate with early-stage ownership while benefiting from the resources of an established global company, • Join a collaborative team working across AI, security, privacy, and responsible data use If you are excited about the opportunity but do not meet every preferred qualification, we still encourage you to apply. We are looking for evidence of product ownership, technical curiosity, learning agility, and the ability to build effectively in an emerging market. Zaddy Solutions will conduct the initial evaluation and screening process. Additional information about the company and product will be shared with qualified candidates as they progress.

Sciame Construction, LLC is a New York City–based construction management firm, recognized throughout the Tri-State Area as the builder of choice for highly designed and technically sophisticated projects. Founded in 1975 and headquartered at 14 Wall Street, Sciame brings over fifty years of history and a proven track record of completing a wide range of buildings and interior spaces on time, within budget, and to the highest standards of workmanship. "Where Building is an Art" has become a trademark of the firm. Our work spans corporate interiors, commercial office, cultural institutions, educational facilities, hospitality, residential, retail, medical and research facilities, historic restoration and landmark work, and publicly funded projects. Across every sector, our diverse and dedicated staff demonstrate a commitment to finding creative construction techniques that preserve design intent and deliver exceptional quality. What sets Sciame apart is a hands-on team environment and an organizational structure built around it. Our people are our real assets, and we hire based on ability, desire, and fit. As we expand our corporate interiors practice, we are looking for people who want to help shape a growing group inside an established firm. The Role Sciame Construction is hiring an Estimator for our Manhattan office, focused on corporate interiors. You will produce takeoffs, pricing and trade packages on interior fit-out and renovation projects across New York City, working alongside our estimating and purchasing team. Our interiors work spans corporate office fit-outs, tenant improvements, and lobby and public space renovations in occupied and Class A buildings throughout the five boroughs and the surrounding metro area. This is a hands-on estimating seat with real ownership of your trades. Sciame's Estimating and Purchasing Department works closely with the project management team from the earliest stages and stays engaged through the life of the project — we don't hand the job off at buyout. That continuity is deliberate. It keeps accountability with the person who priced the work, cuts down on design and budget issues surfacing late, and lets us maintain the speed and agility of a smaller company while building some of the most visible projects in the city. For an estimator, it means you see what your numbers were actually worth, and you carry that forward into the next bid. It also means this seat comes with room to grow. Our corporate interiors group is expanding now, and the person in this role will have a direct hand in shaping how it estimates, who it bids with, and where it takes its work. Responsibilities Estimating and takeoff • Analyze drawings, specifications and project documents and prepare quantity takeoffs for your assigned trades, • Apply unit pricing for material, labor and equipment to establish a value for the work, • When required for a project, develop conceptual, SD, DD and CD budgets as design progresses, inclusive of architectural, structural and MEP/FP trades, • Reconcile each estimate against the previous issue and be able to explain the movement, • Draft the qualifications, assumptions and exclusions that define the basis of your numbers Subcontractor management and buyout • Run subcontractor solicitation — issue bid packages, chase returns and drive coverage on your trades, • Prepare bid leveling and scope comparison sheets; flag gaps and overlaps between trade packages before they become change orders, • Complete subcontractor bid review and descope, confirming conformance to specifications, code, material quality, schedule, site logistics and insurance, • Draft trade scopes of work and support buyout through to subcontract award, • With the operations team, assist in reviewing subcontractor change order claims against the scope awarded and the drawings — establish whether it is genuinely a change or something already bought, and test rates for reasonableness before anything is passed on Through construction and close-out • Track allowance expenditure against what was carried and reconcile unused allowance back to the client, • Manage project kickoff and closeout meetings to hand off information cleanly between estimating, accounting and operations Team and process • Understand the full scope of the project through document review and by asking the right questions of the design team and owner, • Contribute value engineering options and flag risk and long-lead exposure to the project team, • Attend client meetings, resolve pricing and estimate questions, and secure client approval and signoff, • Communicate clearly with estimators, project managers, subcontractors and the design team, • Contribute to the growth of the corporate interiors group as it builds out Qualifications • 3+ years of estimating, purchasing or preconstruction experience with a general contractor, construction manager or specialty subcontractor, • New York City construction experience, ideally on corporate interiors or tenant fit-out work, • Confident quantity takeoff ability across multiple trades, • Strong takeoff and estimating software skills, e.g.: On-Screen Takeoff, Bluebeam, Excel, Procore, Destini, • Bachelor's degree in construction management, engineering, architecture or a related field — or equivalent industry experience, • Clear written and verbal communication, and the organization to keep a bid package on track Not required but an advantage to have • Familiarity with both union and open-shop labor markets in New York, • Exposure to open-book pricing and conversion to a stipulated sum, • Field or trade background Compensation Salary range: $100,000 - $165,000 per year, plus an annual discretionary bonus based on both company and individual performance. Actual compensation within the range is determined by experience and qualifications. Benefits • Medical insurance, • Dental insurance, • 401(k) retirement plan with employer match, including a Roth option and 401(k) loans, • Life insurance How to Apply Email resume and any pertinent information to careers@sciame.com Employment Opportunity Sciame Construction, LLC is an equal opportunity employer.

Client Overview Our client is a leading global apparel company focused on delivering innovative fashion solutions. The company operates across multiple brands and channels, emphasizing digital transformation and customer engagement. They are known for their commitment to sustainability and dynamic workplace culture and are currently looking to add a Digital Project Manager (Optimization/Personalization) to their team. Salary/Hourly Rate $65/hr - $70/hr Position Overview The Digital Project Manager (Optimization/Personalization) will work on a hybrid schedule (4 days onsite, 1 day remote) on a 9-month contract basis. This individual will lead the planning, execution, and optimization of digital experiences across e-commerce platforms. The role bridges business stakeholders, Creative teams, Merchandising, Technology, Analytics, and agency partners to deliver impactful digital content and personalization strategies. The position supports digital growth by managing content lifecycles, experimentation initiatives, and continuous improvement efforts. Responsibilities Of The Digital Project Manager (Optimization/Personalization) • Lead planning, prioritization, and execution of website content updates, promotional campaigns, and seasonal experiences., • Manage project timelines, dependencies, and stakeholder communications for digital content initiatives., • Partner with Creative, Merchandising, Marketing, Product, and Technology teams to deliver seamless customer experiences., • Ensure digital experiences align with brand standards, business objectives, and customer journey best practices., • Identify opportunities to improve operational efficiency within the content publishing process., • Own the roadmap for A/B and multivariate testing initiatives across the e-commerce experience., • Partner with Business teams to identify optimization opportunities and translate hypotheses into test plans., • Coordinate implementation with Development teams and testing platforms., • Monitor test execution to ensure quality and accurate measurement., • Analyze experiment results and communicate actionable recommendations to stakeholders., • Build a culture of experimentation and data-driven decision-making., • Manage website personalization initiatives delivering relevant experiences to targeted customer segments., • Partner with CRM, Marketing, Analytics, and Product teams to define audience strategies and personalization use cases., • Coordinate implementation of personalized content across digital touchpoints., • Measure personalization performance and recommend ongoing enhancements., • Serve as the primary Project Manager for digital optimization initiatives., • Develop project plans, manage priorities, and ensure timely delivery across multiple concurrent workstreams., • Facilitate cross-functional meetings and maintain clear communication with business and technical partners., • Manage risks, dependencies, and issue resolution throughout project lifecycles., • Monitor key digital KPIs including conversion rate, engagement, customer journey performance, and revenue impact., • Partner with Analytics teams to evaluate experiment results and identify optimization opportunities., • Develop dashboards and executive summaries highlighting program performance and business impact., • Use customer insights to inform future content and optimization strategies., • Utilize tools such as Adobe Analytics and Contentsquare to evaluate user behavior and site performance., • Monitor KPIs and ensure accuracy of tracking and reporting post-launch., • Provide clear reporting on project outcomes, test performance, and optimization impact., • Use data to inform prioritization and continuous improvement efforts., • Operate within agile workflows using Jira; manage backlogs, sprints, and prioritization., • Partner with UX and Design teams (Figma) to align on experience improvements., • Coordinate with Engineering teams to ensure successful implementation of digital initiatives., • Foster a test-and-learn mindset across teams, promoting experimentation and data-driven decisions., • Manage multiple initiatives in a fast-paced environment with shifting priorities. Required Experience/Skills For The Digital Project Manager (Optimization/Personalization) • 5+ years of experience in digital project management, eCommerce, or web/digital environments., • Strong project management skills with proven ability to manage timelines, priorities, and cross-functional teams., • Experience delivering digital and eCommerce initiatives, including site updates and optimization programs., • Proficiency with Jira and agile methodologies., • Experience running and analyzing A/B tests using platforms such as Adobe Target or Optimizely., • Familiarity with Adobe Analytics, Contentsquare, or similar tools., • Understanding of experimentation methodologies and conversion optimization., • Familiarity with CMS platforms and eCommerce systems (e.g., Salesforce Commerce Cloud)., • Understanding of digital marketing and web experience fundamentals., • Strong communication and stakeholder management skills., • Strategic thinker with the ability to connect digital execution to business outcomes., • Detail-oriented with strong QA and execution discipline., • Solutions-oriented and adaptable in a fast-paced environment. Preferred Experience/Skills For The Digital Project Manager (Optimization/Personalization) • Experience with advanced personalization strategies and tools., • Knowledge of additional testing platforms and analytics software., • Background in UX/UI collaboration and design thinking., • Familiarity with CRM and marketing automation platforms., • Experience working in a global retail or fashion environment. Education Requirements • Bachelor’s degree in Digital Marketing, Business, Communications, or a related field is preferred., • Relevant certifications in project management or digital analytics are a plus. Benefits • Atrium Care Package available, upon eligibility (including healthcare plans, discount programs, and paid time off).

A leading global multi-strategy hedge fund is seeking a C++ Quantitative Developer to join a newly formed systematic equities investment team based in New York. This is a front-office role focused on the design, development and optimisation of high-performance trading infrastructure, supporting real-time signal generation and the implementation of systematic equity strategies. This position offers direct exposure to the Portfolio Manager and quantitative researchers, alongside the opportunity to shape the team's technology stack from day one. The successful candidate will play a key role in translating research into production-ready systems, building core signal infrastructure and improving performance within a fast-paced environment where technical rigour and close collaboration are highly valued. Key Responsibilities • Design and build a core C++ signal engine supporting real-time feature computation, alpha signal generation, position tracking and risk monitoring., • Develop efficient data integration between production C++ systems and Python-based research workflows., • Implement and optimise the publication of real-time alpha signals into shared execution infrastructure., • Integrate trading systems with central market data feeds and execution platforms., • Develop real-time risk checks, position monitoring, logging and alerting infrastructure., • Optimise system latency and throughput through performance profiling, memory management, concurrent programming and network tuning., • Work closely with quantitative researchers to translate Python prototypes into robust, production-grade C++ code., • Build and maintain backtesting and exchange simulation infrastructure to support strategy validation., • Apply AI-assisted development tools to improve development efficiency while maintaining code quality., • Contribute to the architecture, reliability and ongoing enhancement of the team's trading technology. Requirements • At least 3 years of hands-on experience developing high-performance C++ server-side applications within a Linux environment., • Strong understanding of real-time and event-driven architectures with demanding latency requirements., • Proficiency in Python and working knowledge of Polars, Pandas, NumPy and the wider Python data ecosystem., • Strong familiarity with Apache Arrow and columnar data formats for efficient cross-language interoperability., • Strong understanding of network programming, Linux internals and systems optimisation., • Experience consuming real-time market data feeds and integrating with execution platforms., • Solid knowledge of data structures, algorithms and concurrent or multithreaded programming., • Proficiency with Git, CI/CD, unit testing and software engineering best practices., • Experience with AI-assisted coding tools and willingness to incorporate them into daily development workflows., • Experience building trading systems within systematic equities or quantitative trading is advantageous., • Experience in Finance minimum 1 year., • Familiarity with equity market microstructure, low-latency optimisation, Rust, kdb+/q, analytical databases or cloud infrastructure is beneficial., • Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering or a related quantitative discipline. To discuss this role in further detail please get in touch and send your resume to: graham@pointonetalent.com www.pointonetalent.com

TECHNICAL PRODUCT MANAGER — AI AGENTS / BUILDER New York City | 5 Days Onsite $175,000–$275,000 Base + Highly Competitive Equity WHAT IF YOUR JOB WAS TO BUILD THE COMPANY OF THE FUTURE? Most product teams build software for customers. This team is asking a bigger question: What happens when AI fundamentally changes how an entire company works? We're partnering with one of the fastest-growing AI-native software companies in New York to add a Technical Product Manager to a tiny, highly autonomous team with an unusually broad mandate: Make every person in the company dramatically more effective through AI. This isn't a traditional Product Management role. It isn't an "internal tools" job. And it isn't a role where Product writes requirements and waits for Engineering to build them. This is a role for a software engineer who thinks deeply about product — someone who wants ownership not only of HOW something gets built, but WHAT should exist in the first place. THE MISSION The next generation of great companies won't simply use AI. They'll operate differently because of it. This team exists to figure out what that actually looks like. They're already building AI teammates capable of doing real work end-to-end — from engineering and software-development workflows to onboarding, company knowledge, operational processes and entirely new ways of working. The mandate is intentionally broad. Find the highest-leverage problem in the company. Understand it deeply. Decide what should exist. Build it. Put it into people's hands. Measure whether it actually works. Then improve it, automate more of it, or kill it and move on. If you're looking for a perfectly defined roadmap, this probably isn't your job. If you're energized by a blank page and the opportunity to invent how an AI-native company should operate, keep reading. THIS ROLE HAS A REAL ENGINEERING BAR Let's be explicit: We're looking for someone who has built and shipped production software. Not simply a Product Manager who works closely with engineers. Not simply someone who can prototype. And not someone whose technical background began when AI coding tools arrived. You should have genuine software engineering fundamentals and be comfortable getting directly into a production codebase. Claude Code, Codex, Cursor and similar tools should make you a dramatically faster engineer — not turn you into one. The strongest candidates may have started as Software Engineers and moved toward Product, been Founding Engineers or technical founders, or simply become the engineer on the team who kept asking: "Are we actually building the right thing?" WHAT YOU'LL DO You'll join a small, highly autonomous team operating almost like a startup inside an already fast-growing AI company. You'll move constantly between product thinking and engineering execution. You might: • Find a complicated workflow and determine how agents could own it end-to-end, • Prototype and build AI products yourself, • Work directly in the codebase alongside other exceptional engineers, • Explore how parts of the software-development lifecycle can become increasingly autonomous, • Design systems, APIs, integrations and agent workflows, • Turn messy operational problems into production software, • Use AI coding agents aggressively to increase your own engineering velocity, • Make product and technical tradeoffs without waiting for layers of approval, • Ship quickly, measure what happens, iterate and sometimes throw the whole thing away, • Decide which problems are worth solving rather than execute against an inherited backlog You'll have unusual freedom to move across the company, find leverage and build. WHO WE'RE REALLY LOOKING FOR There isn't one perfect career path. Some profiles we're especially interested in: • Software Engineer → Product Manager / Technical PM, • Staff or Senior Software Engineer with exceptional product instincts, • Founding Engineer → Product, • Technical Founder who personally built the product, • Early Engineer who became increasingly responsible for product direction, • Very early PM with substantial prior professional software engineering experience, • Product Engineer or Forward Deployed Engineer who owns both customer problems and implementation The title matters much less than the evidence. THE SIGNALS THAT MATTER You have built real software. You can read and navigate a production codebase. You're comfortable reasoning about architecture, APIs, data models, debugging, testing, deployment and technical tradeoffs. You've shipped—not just demoed. You have strong product instincts and naturally ask why something should exist before worrying about how to build it. You've operated with significant ownership, ideally somewhere fast-moving where there wasn't much of a playbook. You use AI coding tools constantly and have strong opinions about where agents work, where they fail and how they're changing software development. And you still want to build. YOUR BACKGROUND MAY INCLUDE • Roughly 5–15 years across software engineering, technical product, or founding roles, • Meaningful professional software engineering experience, • Production experience with modern software systems, • 0→1 product development, • Highly technical B2B SaaS, AI, developer tools, infrastructure, data platforms or agentic systems, • High-ownership experience at an exceptional engineering organization or fast-growing technology startup, • Founder, founding engineer or very early product experience, • Hands-on use of Claude Code, Codex, Cursor, Devin or similar AI development tools, • Deep familiarity with the software development lifecycle, • Strong communication across engineering, product and business teams THE PROFILES WE GET EXCITED ABOUT Former founders. Future founders. Founding engineers. Software engineers who became obsessed with Product. Product-minded Staff Engineers. Engineers from exceptional technical organizations who were given unusually high ownership. People who have built something from nothing. People already pushing AI coding agents far beyond autocomplete. People who hear: "What would it take to automate the software-development lifecycle?" …and immediately start thinking about how they'd build it. WHAT PROBABLY WON'T WORK This probably isn't the right fit if your recent experience has primarily been: • Roadmap and backlog management, • Coordinating engineering teams without personally engineering the product, • People management rather than hands-on IC building, • Growth optimization on mature products, • Big-company Product with narrow, highly defined ownership, • AI strategy without hands-on development, • No-code/low-code automation, • AI-assisted prototyping without deeper software engineering experience This team isn't looking for someone to manage the people building the future. They want another person who can build it. WHY THIS ONE IS DIFFERENT You could join another AI company and build another AI feature. Or you could spend the next several years answering a much bigger question: What does a company look like when AI agents aren't bolted onto the organization — but become part of how the organization itself operates? This company is already well funded, growing rapidly and building an AI-native platform in a massive legacy market. But this particular team gets something unusual: A tiny team. Exceptional autonomy. Serious resources. Hard engineering problems. Almost no limits on what it can explore. And permission to rethink how work gets done from first principles. If you're an engineer who may eventually start a company yourself — or you've already done it once — this is the kind of environment that's hard to find. Come help build the operating model everyone else may be copying five years from now. COMPENSATION $175,000–$275,000 base salary Highly competitive equity LOCATION New York City 5 days/week onsite

About the Company We are seeking a highly skilled Desktop Engineer to join our global End User Computing team. This individual will be responsible for engineering, deploying, automating, and supporting the modern Windows desktop environment across the enterprise. The role requires deep technical expertise, strong problem-solving abilities, and the ability to operate effectively within a fast-paced, global environment. Responsibilities Windows Engineering & Endpoint Platform • Engineer, maintain, and optimize a global Windows 11 desktop environment, ensuring stability, performance, and security., • Own OS image engineering, lifecycle management, configuration baselines, and feature update strategies., • Lead complex troubleshooting efforts using logs, diagnostics, and telemetry. Modern Device Management • Design, implement, and manage Microsoft Intune for configuration, policy enforcement, compliance, application packaging, and advanced device management., • Lead Windows Autopilot deployments, provisioning workflows, and zero-touch onboarding processes., • Integrate Intune with Azure AD, security baselines, conditional access, and compliance frameworks. MECM (Microsoft Endpoint Configuration Manager) • Drive all aspects of MECM administration and engineering, including:, • Task sequence creation and optimization (OSD, refresh, break/fix workflows), • Patch management and compliance reporting, • Infrastructure health and performance tuning, • Implement and automate MECM-related processes to reduce operational overhead. Automation & PowerShell Development • Design and maintain advanced PowerShell automation for:, • Automation, • Configuration enforcement, • Remediation scripts, • User provisioning, • Data transformation and reporting, • Develop reusable automation modules that support engineering and operational workflows. Monitoring & Digital Experience (Nexthink – Nice to Have) • Use Nexthink (or similar DEX tools) to monitor endpoint performance, identify trends, and proactively improve user experience., • Develop custom remote actions, dashboards, and investigations (if Nexthink is available). Operational Excellence • Provide 3rd-line engineering support for escalated desktop issues, including collaboration with security, networking, server engineering, and service desk teams., • Participate in an on-call rotation and support planned weekend engineering activity for global deployments., • Maintain detailed documentation, runbooks, and architecture diagrams., • Contribute to strategic projects such as hardware refresh, OS migrations, security initiatives, and global transformation programmes. Qualifications • Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience., • 5+ years of experience in desktop engineering or endpoint platform engineering within an enterprise environment., • Prior experience in a global or highly regulated industry is a strong plus. Required Skills • Extensive hands-on experience with Windows 11 OS, including registry, file systems, event logs, troubleshooting techniques, and performance tuning., • Deep knowledge of Intune, Autopilot, and Azure AD device management., • Strong engineering-level experience with MECM, including deployments, task sequences, and compliance., • Advanced PowerShell developer, capable of writing clean, modular, production-ready automation., • Experience with enterprise patching, software distribution, and GPO/modern policy management. Preferred Skills • Experience with Nexthink (dashboards, investigations, RA scripting)., • Knowledge of Active Directory, Group Policy, conditional access, and security baselines., • Understanding of end-user hardware (laptops, workstations, peripherals) and driver/firmware lifecycle management., • Familiarity with virtualization (VDI), remote access technologies, and ITIL processes., • Seniority Level, • Mid-Senior level, • Employment Type

About Us CollectWise is a fast growing and well funded Y Combinator-backed startup. We’re using generative AI to automate debt collection, a $35B market in the US alone. Our AI agents are already outperforming human collectors by 2X, and we’re doing so at a fraction of the cost. With a small team, we scaled to a $3M annualized revenue run rate in just over a year, and we’re now hiring a Founding Technical Customer Success Manager to help us reach $10M+ over the next year. The Role We’re looking for a Founding Technical Customer Success Manager to own customer relationships after launch and ensure customers are successful with CollectWise. You’ll work at the intersection of customer success, engineering, and operations, managing customer communication, resolving technical issues, optimizing AI agents, supporting implementations, and identifying opportunities to expand accounts. This is a highly hands-on role. You should be comfortable working directly with customers, troubleshooting technical problems, working with code when needed, and collaborating with engineering on more complex issues. Your success will be measured by customer satisfaction, retention, product usage, account expansion, and customer performance. Responsibilities • Own day-to-day customer relationships after customers have gone live, • Troubleshoot and resolve technical customer issues by adjusting configurations, shipping code when appropriate, and escalating to engineering when necessary, • Monitor customer usage, performance, and trends to identify opportunities to improve results and increase adoption, • Continuously optimize customer AI agents and workflows through prompt engineering, • Upsell customers on additional products, use cases, and increased usage to expand revenue, • Proactively engage customers when usage declines to reduce churn, • Support new implementations and product rollouts for existing customers Desired Qualifications • 3+ years of experience in technical customer success, solutions engineering, sales engineering, technical operations, product management, technical support, software engineering, or a similar role, • Excellent written communication skills with a high level of responsiveness, • Strong technical background with experience writing and debugging code and working with APIs, integrations, and data flows, • Strong verbal communication and relationship-building skills, • Strong attention to detail and ability to manage multiple customer issues and priorities simultaneously, • Highly proactive with a strong sense of ownership, • Commercial mindset with the ability to identify upsell and account expansion opportunities Compensation • $150,000 to $200,000 OTE, including a $130,000 to $160,000 base salary plus variable compensation tied to customer expansion and retention, • Equity: 0.03% to 0.10%

Senior Finance AI & Transformation Analyst New York City Are you the type of professional who can spot a broken finance process, identify where AI can create value, and actually build the solution? We're partnering with a high-growth global organization seeking a Senior Finance AI & Transformation Analyst to help modernize Finance operations through AI, automation, and process transformation. What You'll Do • Identify inefficiencies across Finance and design scalable solutions using AI and automation., • Build and prototype AI-enabled workflows, automations, and agentic solutions., • Lead transformation initiatives from problem definition through implementation, adoption, and measurable business impact., • Partner with Finance, Data, Engineering, and Leadership teams to deliver process improvements and operational excellence., • Develop business cases, executive presentations, and change management strategies to drive adoption. What We're Looking For • 5-8 years of experience in Finance Transformation, Business Transformation, Process Improvement, Digital Transformation, or Consulting., • Hands-on experience implementing AI, automation, low-code, or workflow solutions in a business environment., • Strong project and stakeholder management skills with a track record of delivering cross-functional initiatives., • Ability to translate business problems into scalable technology-enabled solutions., • Strong communication skills with experience presenting to senior leadership. Ideal Backgrounds • Finance Transformation Consultant, • Big 4 Advisory (Finance Transformation / CFO Advisory), • Finance Systems Analyst or Manager, • Digital Transformation Consultant, • Business Process Improvement Lead, • ERP or Finance Systems Implementation Consultant Preferred Experience • Accounting, FP&A, Treasury, or broader Finance Operations exposure., • Finance systems and ERP platforms such as NetSuite, Oracle, SAP, or similar., • Experience within fintech, financial services, regulated industries, or other complex environments. What This Role Is Not This is not a traditional Accounting or FP&A role, and it's not a software engineering position. The ideal candidate sits at the intersection of Finance, Technology, AI, and Transformation, with a passion for improving how work gets done. If you're excited about applying AI to real business problems and driving the future of Finance operations, we'd love to connect.

Overview A global market making firm is building a new US equities and ETF business in New York and hiring the founding engineering team. The architecture does not exist yet. Whoever joins in the next few months decides the threading model, the memory layout, the wire protocol handling and how the whole thing is tested, and lives with those decisions for the next decade. You do not need to know anything about markets. The hiring manager would rather teach an exceptional systems engineer how exchanges work than teach a trading systems person how to write software properly. Several of the strongest engineers on the desk arrived from chip companies, database internals and kernel work. What people take this for is the feedback loop. You change something and the same day you can see what it did to the money. Nobody writes a design document for six weeks, and the team is small enough that your name is on the parts you built. The firm trades on more than a hundred exchanges globally and has been profitable across market conditions. This desk is its push to lead US equities the way it already leads elsewhere, and it is funded accordingly. Responsibilities • Build market data, order management and execution from scratch in modern C++ on Linux, with the core design decisions still open., • Work on the tail rather than the mean. The end-to-end path is measured in microseconds and the hard part is what happens at the ninety-ninth percentile., • Spend real time in profilers, thinking about cache lines, allocation, contention and what the NIC is doing., • Own the software side of the boundary with the FPGA team rather than handing work over it., • Sit with the traders and researchers you build for, and turn their ideas into systems that hold up in production. Qualifications • Three to eight years writing production C++ where performance was the point rather than an afterthought., • Experience building the internals of something serious: an operating system or kernel, a compiler or runtime, a database or storage engine, a filesystem, a network stack, an embedded or real-time system, or accelerator kernels., • Comfort close to the machine, whether that is kernel bypass and RDMA, driver or firmware work, GPU kernels, or low-level optimisation in another demanding domain., • No trading or finance background required., • Someone other engineers want in the room when a decision is being made. New York, on site. Relocation is routine and not a barrier.

Founding Product Manager Early-Stage Tech Startup | 0-to-1 Product Development | High-Impact Leadership Location: New York, NY Employment Type: Full-Time Compensation: Competitive Base Salary + Meaningful Equity About the Opportunity We are partnering with an ambitious, early-stage technology startup looking for an exceptional Founding Product Manager to help build and scale its product from the ground up. This is a rare opportunity to join a founding team and play a pivotal role in shaping the company's product vision, strategy, and execution. We're looking for a highly entrepreneurial product leader who thrives in ambiguity, moves quickly, and gets excited about turning complex problems into intuitive, scalable solutions. You'll work directly with the founders and engineering team, owning the product lifecycle from initial discovery through launch and iteration. This isn't a role for someone who wants to inherit an established roadmap. We're looking for someone who wants to build the roadmap. What You'll Do • Own the Product Vision: Partner directly with the founders to define product strategy, priorities, and long-term direction., • Build From Zero to One: Lead product development from ideation and customer discovery through MVP, launch, and continuous iteration., • Drive Product Execution: Translate business objectives and user needs into actionable product requirements, roadmaps, and deliverables., • Work Closely With Engineering: Collaborate with technical teams to make thoughtful tradeoffs, remove roadblocks, and ship high-quality products quickly., • Develop Customer Insights: Conduct user interviews, analyze feedback, and identify opportunities to improve product-market fit., • Leverage Data: Establish KPIs and use quantitative and qualitative insights to guide product decisions., • Champion the User Experience: Partner with design and engineering to create intuitive, impactful customer experiences., • Operate Like a Founder: Take ownership beyond traditional product management responsibilities and contribute wherever the business needs you most., • Build for Scale: Help establish the product processes, tools, and frameworks needed to support company growth. What We're Looking For • 5+ years of product management experience, ideally within high-growth startups or technology companies., • Demonstrated experience launching products from 0 to 1, rather than solely optimizing existing products., • Proven ability to work closely with founders, engineers, and designers in fast-moving environments., • Strong technical fluency and the ability to communicate effectively with software engineering teams., • Experience owning end-to-end product development, from discovery through delivery., • Exceptional analytical thinking, prioritization, and problem-solving skills., • A customer-obsessed mindset with experience translating user feedback into product improvements., • Strong communication skills and the confidence to influence stakeholders at every level., • Comfort operating with limited structure, evolving priorities, and significant autonomy., • An execution-oriented mentality with a demonstrated ability to ship products. What Will Set You Apart • Previous experience as a founding or first product hire., • Experience at a Seed or Series A startup., • Background working on AI-powered products, developer tools, SaaS, or technically complex platforms., • Previous entrepreneurial experience or experience founding your own company., • Strong understanding of product-led growth and go-to-market strategy., • Experience establishing product-market fit and scaling products through early growth stages., • Ability to prototype, experiment, and leverage modern AI tools to accelerate product development. Why This Opportunity? True Ownership: You'll have a direct influence on what gets built, how it's built, and where the product goes. Founder-Level Exposure: Work alongside ambitious founders and contribute to some of the company's most important strategic decisions. Build Something From Scratch: Shape an early-stage product without the bureaucracy or limitations of a mature organization. Meaningful Equity: Participate in the upside of helping build a successful business. High-Impact Environment: Join a small, talented team where your contributions will be visible and consequential. Who Will Succeed Here? The ideal candidate is equal parts strategist, builder, and operator. You're someone who enjoys solving messy problems, asking difficult questions, and moving rapidly from concept to execution. You don't need a large organization or a perfectly defined roadmap to be effective. You thrive when given ownership, you care deeply about the customer, and you have the technical curiosity to challenge assumptions and push ideas forward.

POSITION PURPOSE: The Purchasing Manager is responsible for the daily management and coordination of procurement activities. This role ensures timely sourcing of goods and services, maintains vendor relationships, and supports operational departments in meeting quality and cost-control standards. This is an operational leadership role focused on execution, financial discipline, and maintaining established purchasing procedures. This role partners closely with Finance and operational department leaders to support Banquet, and F&B operations while maintaining quality standards and budget discipline. ESSENTIAL FUNCTIONS AND DUTIES: • Support the implementation of purchasing strategies in alignment with company guidelines and budget parameters., • Partner with department heads to support operational purchasing needs and priorities., • Identify, evaluate, and negotiate with suppliers to secure favorable terms, pricing, and contractual agreements., • Build, sustain, and strengthen vendor relationships to ensure reliable access to high-quality products and timely delivery., • Monitor and report on purchasing budgets and variances, identifying cost-saving opportunities and operational improvements., • Monitor pricing trends and identify cost-efficiency opportunities within approved purchasing parameters., • Ensure adherence to established procurement policies and internal controls., • Manage inventory levels with precision, ensuring optimal stock turnover and implementing controls that reduce waste and carrying costs., • Collaborate with cross-functional departments to ensure procurement activities support operational needs and organizational goals., • Facilitate clear communication between the purchasing department and all operational teams to streamline workflows., • Ensure all procurement processes uphold our brand and service standards through rigorous quality assurance measures., • Utilize purchasing systems and reporting tools to maintain accuracy, transparency, and operational efficiency. KNOWLEDGE, EXPERIENCE AND SKILLS • Education: Bachelor’s degree in hospitality management, business administration, supply chain, or related field preferred., • Experience: 3-5 years of progressive purchasing and/or procurement within the hospitality industry, preferably in a luxury hotel, private club, or high-volume F&B environment., • Languages: Proficiency in English required; fluency in Spanish preferred, • Proficiency with procurement and supply chain software., • Strong command of Excel and data analytics tools to support decision making., • Exceptional ability to prioritize, manage multiple tasks, and maintain accuracy and attention to detail., • Strong analytical and decision-making skills; ability to resolve issues under pressure., • Demonstrated ability to support and guide team members, foster accountability, and collaborate effectively with operational departments including Rooms, F&B, Engineering, and Housekeeping., • Demonstrated integrity, confidentiality, and professional conduct aligned with our standards., • Familiarity with inventory management and procurement workflows., • Excellent verbal and written communication skills., • Ability to work overnight, weekends, and holidays as necessary to support operational needs., • Ability to stand or walk for extended periods., • Ability to lift, push, or pull up to 40 pounds. INTENT AND FUNCTION OF JOB DESCRIPTIONS All descriptions have been reviewed to ensure that only essential functions and basic duties have been included. Peripheral tasks, only incidentally related to each position, have been excluded. Requirements, skills, and abilities included have been determined to be the minimal standards required to successfully perform the positions. In no instance, however, should the duties, responsibilities, and requirements delineated be interpreted as all-inclusive. Additional functions and requirements may be assigned by supervisors as deemed appropriate. Job descriptions are not intended as and do not create employment contracts. The organization maintains its status as an at-will employer. Cipriani is an equal opportunity employer.

New York, NY | In-Office | Full-Time About Cassidy At Cassidy, we're building software that helps teams move faster by automating complex, high-leverage workflows with AI. Our platform lets companies deploy AI agents and automations inside business-critical processes. Not just to eliminate busywork, but to run real operational work across the tools they already use. We're a Series A company based in New York, backed by leading investors and growing quickly with customers across insurance, financial services, and beyond. About the Role We're looking for a Recruiter to own full-cycle hiring at Cassidy. This is a rare opportunity to own a recruiting function end to end at an early-stage company. You'll run every search from intake to offer accept, build the process and infrastructure behind it, and have a direct hand in shaping the team as we scale. You'll partner closely with our founders and functional leaders on hiring across go-to-market, engineering, technical solutions, and marketing. What You'll Do • Manage full-cycle recruiting end to end — intake, sourcing, screening, and interview coordination, • Build and run proactive sourcing strategies to generate strong pipeline for every open role, • Partner with hiring managers to define role requirements, calibrate on candidate profiles, and keep searches moving, • Design and improve interview processes — scorecards, structured loops, and debriefs that keep our bar high and consistent, • Deliver an excellent candidate experience that's transparent, thoughtful, and fast, • Own our ATS and recruiting data, and report on pipeline health and hiring progress to leadership, • Strengthen our employer brand through job posts, outreach, and how we show up to candidates What You'll Bring • 2-6 years of full-cycle recruiting experience, in-house or agency, ideally at a startup or high-growth tech company, • Experience filling both technical and go-to-market roles, • Strong sourcing skills — you know how to build a list, write outreach people reply to, and follow up with discipline, • Excellent judgment on people, and the confidence to push back on a hiring manager when you disagree, • A high-ownership, low-ego approach — you're comfortable building process from scratch and doing the details yourself, • Clear, direct communication and strong organizational habits across multiple open searches Nice to Have • Experience recruiting for AI or technical enterprise SaaS companies, • Experience as the first or only recruiter at a company, • Familiarity with modern recruiting and sourcing tools (Ashby, Greenhouse, Gem, LinkedIn Recruiter)

Title: Product Marketing Manager Location: Palo Alto, CA 94306 or New York, NY 10001 (Hybrid preferred; US Remote considered) Employment Type: Full Time, Direct Hire No C2C or Sponsorship Available Position Overview Talent Groups is seeking a Product Marketing Manager for a leading publicly traded AI and enterprise SaaS company serving investment management, private capital, and professional services firms. The organization provides AI powered platforms that help investment firms manage deal flow, strengthen client relationships, improve operational efficiency, and manage risk. Its solutions support more than 1,000 private capital and investment banking firms, combining established deal and relationship management technology with emerging AI capabilities. This role will own product marketing strategy for a portfolio of AI driven solutions, translating complex enterprise technology into compelling business value for senior buyers. The ideal candidate brings strong strategic thinking, analytical capabilities, exceptional communication skills, and a demonstrated ability to develop effective product positioning and go to market strategies. Required Qualifications • 5+ years of experience in B2B Product Marketing, Strategic Marketing, Solutions Marketing, or a related role within enterprise software or SaaS., • Proven experience developing product positioning, messaging, and go to market strategies., • Strong strategic thinking, analytical reasoning, and problem solving skills., • Ability to translate complex technology and business concepts into compelling value propositions., • Exceptional written and verbal communication skills, including executive presentations and storytelling., • Commercial acumen and understanding of how product positioning influences revenue, adoption, and business performance., • Experience collaborating cross functionally with Product, Sales, Marketing, and senior leadership., • Ability to understand technical product capabilities and communicate their business value without an engineering background., • Strong research skills and the ability to turn market intelligence into actionable recommendations., • Demonstrated track record of improving product positioning, marketing effectiveness, or commercial outcomes., • Bachelor's degree required. Preferred Qualifications • Experience marketing enterprise SaaS, AI software, CRM, workflow automation, or business development platforms., • Exposure to financial services, private equity, private capital, investment banking, or Real Assets., • Experience in complex or highly regulated industries., • Familiarity with AI driven enterprise applications and emerging technology commercialization., • Experience within a mid sized or large software organization., • MBA or advanced degree preferred. Only qualified candidates will be contacted. Talent Groups is an Equal Opportunity Employer.

Senior Product Manager, Payer Solutions Remote Salary- $180,000-200,000 Position Summary We are seeking a Senior Product Manager to lead the strategy, implementation, and ongoing evolution of our payer-focused digital products. This role combines product management, client delivery, and solution leadership, serving as a key bridge between clients, engineering teams, and internal stakeholders. The ideal candidate will bring healthcare payer experience and a strong understanding of member-facing digital experiences. This individual will be responsible for translating client needs into scalable product capabilities, managing implementations, supporting sales efforts, and driving the continued growth of our payer product portfolio. Key Responsibilities Product Management • Own and drive the roadmap for payer-focused digital products., • Define, prioritize, and manage product requirements based on client feedback, market opportunities, and business objectives., • Partner closely with engineering and design teams to deliver high-quality, scalable solutions., • Use implementation and client insights to inform product enhancements and future development. Client Delivery & Implementation • Lead discovery sessions and requirements gathering with payer clients., • Serve as a trusted partner throughout implementation and rollout activities., • Manage client-specific needs while maintaining alignment with core product strategy., • Ensure successful delivery of solutions from concept through launch. Cross-Functional Leadership • Act as the primary liaison between clients, product, engineering, and business stakeholders., • Drive alignment across teams and facilitate clear communication throughout the product lifecycle., • Take ownership of day-to-day payer product initiatives and execution. Sales & Solution Support • Support prospect meetings, solution workshops, and product demonstrations., • Partner with Sales and Customer Success teams during business development efforts., • Help articulate product value and capabilities to prospective payer organizations. Product Areas This role will support and enhance a suite of payer-facing digital products and experiences, including member/broker/employer portal, provider search solutions, and digital ID card experiences. Qualifications Required • 5+ years of experience in Product Management, Client Delivery, Implementation, or a related healthcare technology role., • Experience working with health plans, healthcare payers, or payer technology solutions., • Experience delivering consumer-facing digital products., • Strong requirements gathering, stakeholder management, and product delivery skills., • Proven ability to manage complex client relationships and implementations., • Ability to balance strategic thinking with hands-on execution. Preferred • Experience with member, broker, employer, or provider-facing digital platforms., • Experience working for a healthcare technology vendor, consulting organization, or systems integrator., • Experience supporting pre-sales activities, product demonstrations, and solution design discussions., • Experience managing both client implementations and scalable product development initiatives. Technical Background • Technical aptitude and comfort working closely with engineering teams is strongly preferred., • Prior experience in software development, solution architecture, engineering, or another technical discipline is a plus., • Ability to understand technical requirements, dependencies, and tradeoffs.

Company Description Cross Management Corporation (CMC) provides superior construction management services across New York and beyond, delivering projects that meet high standards of quality and craftsmanship. The team brings decades of experience to complex commercial and institutional builds, focusing on precision, safety, and timely delivery. Since 2003, CMC has been known for its hands-on approach and strong client relationships. Now partnered with Shimizu Corporation, CMC combines deep local expertise with global resources and best practices while maintaining personal attention on every project. Job details $125,000 - $200,000 a year 401(k), Health insurance, 401(k) matching, Paid time off, Vision insurance, Dental insurance, Life insurance Full-time New York, NY 10016 Full job description Overview Join our dynamic team as a Construction Project Manager and lead the planning, execution, and successful delivery of complex infrastructure projects. This role offers an exciting opportunity to oversee all phases of construction, from initial design coordination to project completion, ensuring that projects are completed on time, within budget, and in compliance with all safety and regulatory standards. You will be at the forefront of managing diverse teams, coordinating schedules, and maintaining high-quality standards across multiple projects. If you thrive in a fast-paced environment and are passionate about driving construction excellence, this position is your next career move! Duties • Lead and manage construction projects from inception through completion, ensuring adherence to project scope, schedule, and budget., • Develop detailed project schedules using Microsoft Project or similar project management software to coordinate all phases of construction activities., • Coordinate with architects, engineers, subcontractors, and clients to review construction plans and ensure clarity on project specifications., • Monitor construction site activities daily to ensure compliance with safety regulations, building codes, and environmental standards., • Utilize construction management software such as ProCore, Bluebeam, and Microsoft Office tools for documentation, reporting, and communication., • Manage project budgets meticulously by tracking costs using cost management tools; adjust plans proactively to prevent overruns., • Lead project meetings to facilitate effective communication among stakeholders and resolve any issues promptly., • Ensure all construction activities comply with local regulations and industry standards while maintaining quality control throughout the project lifecycle., • Read blueprints accurately to verify that construction aligns with design specifications and contractual obligations., • Supervise teams on-site by managing labor resources efficiently and providing clear direction for task execution., • Prepare comprehensive progress reports for executive review and client updates to maintain transparency on project status. Experience • Proven experience managing large-scale infrastructure or commercial construction projects with a strong track record of delivering within scope, schedule, and budget parameters., • Demonstrated ability to manage teams effectively in a fast-paced construction environment while maintaining safety standards., • Deep familiarity with construction regulations, building codes, safety protocols, and environmental compliance requirements., • Skilled in reading blueprints and technical drawings accurately to guide on-site activities., • Excellent organizational skills with a focus on time management to prioritize tasks efficiently across multiple projects., • Prior experience managing interior buildout, complex infrastructure or retail projects is highly desirable. Pay: $125,000.00 - $200,000.00 per year Benefits: • 401(k), • 401(k) matching, • Dental insurance, • Health insurance, • Life insurance, • Paid time off, • Vision insurance Work Location: In person Qualifications • Strong project coordination skills, including organizing timelines, resources, and communications across multiple stakeholders., • Demonstrated experience in construction project management and construction management on commercial or institutional projects., • Proficiency in project management practices, including risk management, scheduling, and progress tracking., • Solid budgeting and cost control skills, with experience managing estimates, change orders, and financial reporting., • Knowledge of building codes, safety standards, and construction best practices., • Ability to read and interpret architectural and engineering drawings and specifications., • Effective written and verbal communication skills, with the ability to lead meetings and coordinate diverse teams., • Experience with project management and construction management software tools (e.g., MS Project, Procore, or similar)., • Bachelor’s degree in Construction Management, Engineering, Architecture, or a related field; equivalent experience may be considered., • Previous experience managing projects in the New York City area or similar urban environments is highly beneficial.

Senior AI Product Manager Remote Salary- $180,000-220,000 About The Role We are seeking a highly motivated Senior AI Product Manager to lead the strategy, development, and commercialization of AI-powered capabilities across our platform and healthcare payer solutions. This role will be at the forefront of applying Large Language Models (LLMs), generative AI, and intelligent agents to transform how customers build applications, automate workflows, and engage with members. As our AI Product Manager, you will bridge product strategy, customer needs, user experience, engineering execution, and AI innovation. You will work closely with engineering, platform, and business stakeholders to bring AI-powered products from concept to production. What You'll Do Lead AI Platform Innovation • Define and execute the roadmap for an AI-powered platform assistant that enables users to build applications using natural language prompts., • Create intuitive experiences that allow users to generate portals, dashboards, workflows, and other platform components through conversational interfaces., • Partner with engineering teams to leverage LLMs and generative AI technologies to accelerate application development. Manage AI Product Delivery • Own the product lifecycle from concept through production release., • Validate, prioritize, and refine AI-driven capabilities and platform commands., • Establish testing, evaluation, and release processes to ensure high-quality AI experiences., • Define success metrics and monitor performance of AI-powered features and products. Drive AI Solutions for Healthcare Payers • Lead product strategy for AI-enabled payer solutions, including member engagement and customer experience products., • Identify opportunities to improve efficiency, member satisfaction, and operational outcomes through AI. Define the Future of AI Agents • Develop product strategies that enable customers to create, deploy, and manage their own AI agents., • Define requirements, governance models, workflows, and user experiences for agent creation and management., • Evaluate emerging AI technologies and translate technical capabilities into scalable product offerings. Qualifications Required • 5+ years of Product Management experience, preferably in enterprise SaaS platforms., • Experience developing or managing AI, machine learning, generative AI, or LLM-based products., • Strong understanding of product strategy, roadmapping, and agile development methodologies., • Ability to work effectively with software engineers, architects, and technical stakeholders., • Experience defining product requirements and driving products from ideation through launch. Preferred • Experience with generative AI platforms, copilots, assistants, or conversational interfaces., • Familiarity with prompt engineering, AI evaluation frameworks, and model-driven product design., • Healthcare, health plan, payer, or customer experience domain expertise., • Experience building AI-powered workflow automation or intelligent agent solutions., • Technical background in software development, computer science, data science, or related fields.

Please apply here - https://findautumn.com/careers/founding-customer-success-operations-lead About Autumn Autumn is building the AI operating system for independent hotels. Hotels are still run on an extraordinary patchwork of legacy software, agencies, spreadsheets, and manual workflows. Pricing lives in one system. Marketing in another. Guest data somewhere else. Critical decisions are still made manually across teams and vendors that rarely speak to one another. We are building one AI native platform that brings this work together and increasingly does it for the hotel. We are starting with the workflows closest to revenue, including digital marketing, and expanding from there into the broader hotel operating stack. The opportunity is enormous. Independent hotels represent a massive, underserved market, and the software they rely on is decades behind what modern businesses expect. Autumn recently raised the largest seed round in hotel tech history, led by Bessemer. We are building a small, exceptional team in person from our waterfront office in Williamsburg. We are solving a real hair on fire problem, closing 85% of the calls we schedule with cold outbound emails! We are now hiring our Founding Customer Success & Operations Lead to build the function that owns every customer from the moment they sign. For the right person, this can grow into leadership of Customer Success and Customer Operations at Autumn. The Role You will own everything that happens after a hotel says yes. That starts with getting the property live quickly and correctly. It continues with making sure the customer sees value, understands performance, stays with Autumn, and expands over time. Today, that means being both an operator and a builder. You will personally onboard hotels. You will get into the tracking stack when something does not look right. You will speak directly with hotel owners and general managers. You will spot an account at risk before they tell us. And you will turn everything you learn into systems that allow Autumn to serve hundreds and eventually thousands of hotels exceptionally well. There are three major parts to the role. 1. Implementation: Own the journey from signed contract to live customer., 2. Customer Success: Own the relationship once the hotel is live. Help owners and GMs understand what Autumn is doing, what is working, where opportunities exist, and what needs to change. Own retention, expansion, and customer trust., 3. Build the machine: Today, many of these workflows still depend on judgment, founder context, and manual intervention. Your job is to turn them into a scalable operating system. This is a true player builder role. For a while, you will do the work yourself. Depending on your trajectory you will hire the team, train them on the systems you built, and increasingly lead the function. What You'll Own • Own every customer from AE handoff through onboarding, launch, retention, and expansion, • Get new hotels live quickly, with accurate conversion tracking and attribution, • Troubleshoot tracking and implementation problems across booking engines, analytics tools, PMSs, and other hotel systems, • Develop a repeatable path from signature to first attributed booking, • Build trusted relationships with hotel owners and general managers, • Run performance conversations that are clear, credible, and commercially sharp, • Own retention and understand exactly why customers stay, expand, become at risk, or churn, • Identify at risk accounts before the customer raises their hand, • Build onboarding standards, implementation runbooks, account health scoring, communication cadences, and escalation processes, • Decide what deserves human attention and what should be automated, • Use AI aggressively to automate reporting, monitoring, follow up, customer analysis, and your own operational work, • Turn recurring customer feedback into structured Product and Engineering input, • Build the customer operations dashboard and metrics we use to run the business, • Hire and eventually lead the Customer Success and Implementation team Who Will Be Exceptional Here • You've owned a high-volume SMB book. You've managed many customers at once and owned outcomes (retention, activation, expansion, revenue). You know how to build leverage instead of treating every account the same., • You're technically curious. You don't need to code, but you're comfortable in tools like Google Tag Manager and analytics — verifying events, reconciling numbers, and debugging issues before escalating., • You're a systems operator. You spot repeat problems and turn them into documented, measurable, teachable processes. You like adding structure where little exists., • Customers trust you. You build real relationships with owner-operators while staying commercially sharp. You can deliver hard messages clearly and leave the relationship stronger., • You use AI as leverage. AI is already part of your workflow — analysis, automation, drafts, investigations, and follow-ups. You're excited to build a modern CS/ops function where humans + AI split the work intentionally., • You have exceptional judgment. You know what merits a call, what should be automated, and what needs no action., • You take extreme ownership. You proactively surface risk, follow through to outcomes, and operate with high reliability, detail, and autonomy. This Role Is Probably Not For You If • You want to inherit a mature Customer Success organization with established playbooks, • You primarily want to manage people rather than personally do the work, • You prefer a small portfolio of large enterprise accounts, • You think technical implementation should always be handed to Engineering, • You measure success by meetings held or tickets closed rather than customer outcomes, • You want a strategy role removed from the day to day details, • You are uncomfortable with the pace and ambiguity of an early stage company Especially Relevant Backgrounds There is no single perfect background for this role. We would be particularly excited by people who have worked in: • High volume SMB Customer Success or Account Management, • Performance marketing agencies where you owned both the client relationship and tracking or implementation, • Hospitality technology, • Hotel revenue management, distribution, ecommerce, or direct booking, • Booking engines, PMSs, channel managers, or other hotel software, • Early stage startups where you helped build a function from zero to one, • Customer facing roles serving small business owners or owner operators Hands on experience with analytics, Google Tag Manager, conversion tracking, attribution, or similar tooling is a major plus. Hospitality experience is a major plus, particularly with independent hotels. Spanish fluency is also a strong plus. Why This Role Is Unusual Most Customer Success jobs ask you to operate someone else's system. This role asks you to invent ours. You will join early enough to decide how Autumn onboards customers, how we measure customer health, how our humans and AI divide the work, how we identify churn risk, what gets automated, what reaches Product, and eventually what the entire Customer organization looks like. If you are exceptional, the scope should expand quickly. The goal is not for you to remain the person manually onboarding every hotel. The goal is for you to build a function that can serve an enormous customer base, then lead the team that runs it. What We Offer • Competitive cash compensation plus meaningful equity, • Significant ownership from day one, • The opportunity to build a major function from the ground up, • A path to lead Customer Success and Customer Operations as Autumn scales, • A front row seat building an AI native vertical software company in a massive industry, • Top tier medical, dental, and vision insurance, • Lunch and fitness stipend, • A beautiful private office on the Williamsburg waterfront, • A small team where exceptional people have unusually large scope and influence Compensation & Benefits • $130K to $180K, • Equity, • Top tier medical, dental, and vision coverage, • Lunch and fitness stipend, • Beautiful private waterfront office in Williamsburg, • Five days a week in person with a small, highly ambitious team If you are the person who fixes the problem instead of forwarding it, who turns recurring chaos into a system, and who wants to build the customer organization rather than inherit one, we would love to meet you. Location This role is five days a week in person in Williamsburg, New York City. We believe the earliest stages of building a company are better done together.

Description: • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems, • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development, • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems, • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture, • Contributes to software engineering communities of practice and events that explore new and emerging technologies, • Adds to team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills: • Formal training or certification on software engineering concepts and 5+ years’ applied experience, • Hands-on practical experience in system design, application development, testing, and operational stability, • Proficient in coding in Java, • Experience with front end technology including React, • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages, • Overall knowledge of the Software Development Life Cycle, • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, and Skills: • Familiarity with modern front-end technologies, • Exposure to cloud technologies including AWS, • Experience with Banking domain Tech Stack: Java Ecosystem • Java 17/21 (LTS), • Spring Boot 3.x, • Spring Cloud, • Spring Security, • Spring Data JPA / Reactive, • Hibernate 6.x, • Maven / Gradle, • JUnit 5, • Mockito, • Lombok AWS Cloud Services • Amazon ECS / EKS, • AWS Lambda, • Amazon API Gateway, • AWS CloudFormation / CDK, • Amazon S3, • Amazon CloudWatch, • AWS IAM, • AWS Secrets Manager, • Amazon SNS / SQS, • AWS Step Functions, • Amazon ElastiCache (Redis), • AWS CodePipeline / CodeBuild, • Amazon ECR Apache Kafka & Event Streaming • Apache Kafka 3.x, • Kafka Streams, • Kafka Connect, • Confluent Schema Registry (Avro/Protobuf), • Spring Kafka, • Kafka Consumer / Producer APIs, • Dead Letter Queue (DLQ) Pattern, • Exactly-Once Semantics (EOS), • AKHQ / Kafka UI Database Technologies • PostgreSQL 15+ / Amazon Aurora PostgreSQL, • Amazon DynamoDB, • Amazon RDS, • Redis, • Flyway / Liquibase, • Hibernate ORM, • Spring Data JPA / R2DBC (Reactive), • MongoDB, • Amazon Redshift DevOps & Observability • Docker, • Kubernetes (EKS), • Terraform, • Jenkins, • GitHub Actions, • SonarQube, • Splunk, • ELK Stack, • Grafana, • Prometheus, • Git / GitHub Enterprise