ai/ml product manager

Visa

<div>
 
 Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
 
 
 
 
 At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters &mdash; to you, to your community, and to the world.
 
 
 
 
 Progress starts with you.
 
 
 
 
 
 
 Job Description
 
 
 
 
 The Generative AI Platform Product team is building a scalable, next-generation platform that enables teams across the organization to develop, deploy, and govern generative AI-powered products. The team partners across engineering, product, data science, and all the business functions to deliver secure, reliable, and reusable generative AI capabilities that accelerate innovation and drive business value.
 
 
 
 
 Visa is seeking a Product Analyst to help define, build, and scale our next-generation generative AI capabilities across the organization. This role sits at the intersection of product, data, and engineering and is ideal for someone with strong analytical skills, product instincts, and a passion for generative AI. You will focus on requirements definition, analysis, execution support, and platform adoption, while gaining hands‑on exposure to how large‑scale generative AI platforms are built, governed, and scaled across a global organization.
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Define the product roadmap and execution for generative AI platform and AI-powered experiences.
 </li>
 <li>
 Translate customer and stakeholder problems into clear product requirements, epics, and acceptance criteria for generative AI features and workflows.
 </li>
 <li>
 Analyze user behavior, product metrics, and LLM model performance to provide actionable insights, inform prioritization, and measure feature impact.
 </li>
 <li>
 Support prioritization of the product backlog using data, customer feedback, and business impact, ensuring a balance between quick wins and strategic bets.
 </li>
 <li>
 Conduct market and competitive research on generative AI tools, LLMs, and vendors to inform build vs. buy decisions and identify new opportunities.
 </li>
 <li>
 Collaborate closely with engineering and business partners to scope experiments, define MVPs, and guide features from ideation through launch.
 </li>
 <li>
 Help baseline product performance, define OKRs/KPIs for generative AI features, and track progress over time.
 </li>
 <li>
 Contribute to documentation (requirements, release notes, FAQs, run-books) to support stakeholders and enable smooth adoption of the generative AI platform.
 </li>
 <li>
 Partner with risk, security, and legal teams to ensure responsible AI, governance, and compliance requirements are embedded into product design.
 </li>
 <li>
 Support enablement efforts by helping create demos, training materials, and best-practice guides that drive AI literacy and adoption across the organization.
 </li>
 </ul>
 
 
 
 
 
 This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 Basic Qualifications:
 
 
 
 
 <ul>
 <li>
 2 or more years of relevant work experience with a Bachelor&rsquo;s Degree or at least 1 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD)
 </li>
 </ul>
 
 
 Preferred Qualifications:
 
 
 
 
 <ul>
 <li>
 3 or more years of work experience and a Bachelors Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) 2+ years of experience in business or technical product management with strong generative AI or AI/ML, Data Science background Hands-on experience with prototyping, developing, and delivering generative AI solutions using APIs and simple code (e.g., Python), with the ability to build proofs of concept and demo technical platform capabilities.
 </li>
 <li>
 Strong technical acumen and experience in AI platforms, AI/ML, Large Language Models (LLMs), evals and agentic systems.
 </li>
 <li>
 Strong experience experimenting with generative AI tools and APIs (e.g., OpenAI, Anthropic, etc.) for prototypes, analyses, or side projects.
 </li>
 <li>
 Experience in product management, with demonstrated ability to launch and manage new product releases being part of a matrixed organization in a highly technical Strong technical acumen on AI platforms, AI/ML, models, public cloud deployments with the ability to build Proof of concepts and demo technical platform capabilities.
 </li>
 <li>
 Understand of technical concept of data processing at scale on prem and cloud.
 </li>
 <li>
 Experience in and/or significant exposure to the payments industry specifically within new applications for Artificial Intelligence and Machine Learning.
 </li>
 <li>
 Proficiency with software development methodologies such as Agile and experience working with Scrum teams and matrixed organizations.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 
 
 Work Hours:
 
 
 Varies upon the needs of the department.
 
 
 
 
 
 
 Travel Requirements:
 
 
 This position requires travel 5-10% of the time.
 
 
 
 
 
 
 Mental/Physical Requirements:
 
 
 This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
 
 
 
 
 Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
 
 
 
 
 Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
 
 
 
 
 
 U.S. APPLICANTS ONLY: The estimated salary range for this position is 110,700.00 to 171,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
 
 
 
 
</div>

Product Analyst - Generative AI Platform

Arab Solutions

<div>
 
 Job Title:
 
 Cognitive AI Product Manager
 
 
 
 Job Description
 
 
 
 The Cognitive AI Product Manager owns the vision, roadmap, and delivery outcomes for TASMU 2.0 Cognitive AI capabilities, ensuring they are delivered as scalable, secure, multi-tenant platform services consumed by ministries and gov entities. The role defines product strategy and success metrics, prioritizes features across vendor-delivered workstreams, and drives alignment across architecture, security, data governance, operations, and commercial stakeholders. The Product Manager shapes the service catalog experience, packaging (sandbox, managed, self-hosted), and lifecycle (launch, adoption, continuous improvement), ensuring the platform meets performance, compliance, and cost targets while improving developer and operator experience.
 
 
 
 Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Define Cognitive AI product vision, value proposition, and multi-year roadmap aligned with TASMU 2.0 objectives.
 </li>
 <li>
 Translate stakeholder needs into epics/features/user stories with clear acceptance criteria and measurable outcomes.
 </li>
 <li>
 Own prioritization across core components: model inferencing service, RAG/KB, fine-tuning, MCP/agentic enablement, observability, analytics, multitenancy, and multicloud.
 </li>
 <li>
 Manage vendor delivery as product workstreams: scope control, dependencies, milestones, and evidence-based acceptance (KPIs/SLOs).
 </li>
 <li>
 Define service catalog offerings (SKUs/tiers), onboarding flows, pricing/chargeback inputs, and operational SLAs/OLAs.
 </li>
 <li>
 Drive governance with architects and security/privacy leads (policies, model approvals, data boundaries, exception handling).
 </li>
 <li>
 Establish product analytics and adoption tracking (PostHog): funnels, retention, developer productivity metrics, and customer satisfaction signals.
 </li>
 <li>
 Coordinate go-to-market/internal enablement: documentation, training materials, release notes, demos, and stakeholder communications.
 </li>
 <li>
 Lead launch readiness and continuous improvement: incident learnings, feedback loops, backlog grooming, and quarterly roadmap reviews.
 </li>
 <li>
 Ensure compliance with contract schedules: performance, security, support/maintenance obligations, and audit evidence requirements.
 
 
 </li>
 </ul>
 
 Skills &amp; Abilities
 
 
 
 <ul>
 <li>
 Strong product management capability for complex platform products (service catalog, APIs, multi-tenant services).
 </li>
 <li>
 Good understanding of AI platforms (inference, RAG, fine-tuning, guardrails, governance) and cloud-native delivery.
 </li>
 <li>
 Ability to define measurable KPIs/SLOs and manage delivery through acceptance criteria and outcomes.
 </li>
 <li>
 Excellent stakeholder management across technical, commercial, legal, security, and operations teams.
 </li>
 <li>
 Strong prioritization and decision-making under constraints; ability to manage dependencies across vendors.
 </li>
 <li>
 Clear communication and narrative-building for executive and technical audiences.
 
 
 </li>
 </ul>
 
 Potential Background
 
 
 
 <ul>
 <li>
 8+ years in product management for platform, cloud, data, or AI/ML products in enterprise/government/telco contexts.
 </li>
 <li>
 Experience delivering API-based products and developer platforms (documentation, SDKs, self-service onboarding).
 </li>
 <li>
 Exposure to multi-vendor delivery models (SIs, managed services) and contract-based acceptance/KPI management.
 </li>
 <li>
 Experience working with security, privacy, and data governance requirements in regulated environments.
 </li>
 <li>
 Familiarity with cloud-native architectures and Kubernetes-based platforms; multicloud exposure preferred.
 </li>
 <li>
 Prior experience launching AI-enabled products (assistants, RAG, analytics, governance) is a strong plus.
 
 
 </li>
 </ul>
 Skills: rag/kb,scope control,multicloud,governance,ai/ml,sis,sdks,cloud,documentation,stakeholder,data,slas/olas,analytics
</div>

Cognitive AI Product Manager

Netflix

<div>
 At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what&rsquo;s next.
 
 
 
 The Role
 
 
 
 In this role, you will own a critical set of capabilities and products that are a part of Netflix&rsquo;s content journey from pitch to post. Collaborating closely with research, engineering, studio, creatives, and other key partners across the entertainment industry, you will build a deep understanding of evolving production needs and opportunities. You will drive our research and product strategy forward, defining the AI/ML technologies creators can choose from to realize their vision with unparalleled quality and control. Ultimately, you will transform novel model capabilities into intuitive workflows and partner with other PMs to craft products that amplify artist creativity and efficiency across our slate.
 
 
 This role requires a unique combination of strong product management expertise, technical understanding of AI/ML/CV, experience in creative production processes, and exceptional stakeholder management skills. You will address the complex needs of creatives (e.g., directors, editors, colorists, VFX artists), and production teams, pushing the envelope of creative outcomes and defining the future of filmmaking through transformative technologies. Success in this position relies on building consensus and driving execution across diverse groups, including creative teams, R&amp;D, external partners, and executive leadership.
 
 
 This is an onsite role based in Los Angeles. Regular monthly travel to Los Gatos is expected to support in-person collaboration.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Own the vision, strategy, and execution of product-led research and the deployment of AI/ML powered video capabilities within the content production and studio domain.
 </li>
 <li>
 Lead deep discovery to uncover the bottlenecks of creatives and production teams that can be solved with novel AI/ML solutions. Balance immediate partner requests with long-term investments, prioritizing durable impact and synthesizing signals into strategic roadmaps.
 </li>
 <li>
 Act as the voice of creative stakeholders within the R&amp;D organization. Translate user needs into precise technical requirements and product specifications, ensuring novel AI capabilities become impactful, scalable cinematic tools.
 </li>
 <li>
 Collaborate with research and engineering teams to influence the development of AI models, from the initial training data strategy through training and production deployment.
 </li>
 <li>
 Partner with ML infrastructure teams to forecast, allocate, and manage compute budgets. Make critical prioritization decisions on training and inference runs.
 </li>
 <li>
 Create clarity and champion alignment in a highly cross-functional environment, ensuring our AI strategy remains grounded within a rapidly evolving technological landscape.
 </li>
 <li>
 Communicate at the right altitude, seamlessly transitioning from detailed technical product reviews to executive narratives and creative demos.
 </li>
 <li>
 Partner with Studio Ops, Production Technology, and Content leaders to align requirements, milestones, and slate needs, effectively influencing cross-team roadmaps.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 6+ years of Product Management experience, including a track record of working closely with R&amp;D teams to turn novel research into scaled products.
 </li>
 <li>
 Deep empathy and/or demonstrated experience working directly with creatives (e.g., digital artists, technical directors, editors) in the production process.
 </li>
 <li>
 Strong technical fluency; comfortable discussing the details of AI models, architecture, data requirements, training, finetuning, inference, and performance considerations. This work emphasizes improving adherence, controllability, quality of image and video models.
 </li>
 <li>
 Previous experience with creative tool ecosystems and a strong understanding of how professionals leverage these tools.
 </li>
 <li>
 Proven ability to define product strategy and lead multi-quarter initiatives in highly technical, cross-functional environments.
 </li>
 <li>
 Exceptional stakeholder management skills, with a track record of aligning diverse teams around shared infrastructure and goals.
 </li>
 <li>
 A self-directed leader who thrives in ambiguity and is motivated by building durable, foundational systems that empower others to move faster.
 
 
 </li>
 </ul>
 Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $310,000.00 - $545,000.00.
 
 
 Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
 
 
 Netflix is a unique culture and environment. Learn more here.
 
 
 Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
 
 
 We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
</div>

Product Manager - AI Video

PROZ TECHNOLOGIES

JOB DESCRIPTIONThe Cognitive AI Product Manager owns the vision, roadmap, and delivery outcomes for TASMU 2.0 Cognitive AI capabilities, ensuring they are delivered as scalable, secure, multi-tenant platform services consumed by ministries and gov entities. The role defines product strategy and success metrics, prioritizes features across vendor-delivered workstreams, and drives alignment across architecture, security, data governance, operations, and commercial stakeholders. The Product Manager shapes the service catalog experience, packaging (sandbox, managed, self-hosted), and lifecycle (launch, adoption, continuous improvement), ensuring the platform meets performance, compliance, and cost targets while improving developer and operator experience.DUTIES &amp; RESPONSIBILITIES<ul><li>Define Cognitive AI product vision, value proposition, and multi-year roadmap aligned with TASMU 2.0 objectives.</li><li>Translate stakeholder needs into epics/features/user stories with clear acceptance criteria and measurable outcomes.</li><li>Own prioritization across core components: model inferencing service, RAG/KB, fine-tuning, MCP/agentic enablement, observability, analytics, multitenancy, and multicloud.</li><li>Manage vendor delivery as product workstreams: scope control, dependencies, milestones, and evidence-based acceptance (KPIs/SLOs).</li><li>Define service catalog offerings (SKUs/tiers), onboarding flows, pricing/chargeback inputs, and operational SLAs/OLAs.</li><li>Drive governance with architects and security/privacy leads (policies, model approvals, data boundaries, exception handling).</li><li>Establish product analytics and adoption tracking (PostHog): funnels, retention, developer productivity metrics, and customer satisfaction signals.</li><li>Coordinate go-to-market/internal enablement: documentation, training materials, release notes, demos, and stakeholder communications.</li><li>Lead launch readiness and continuous improvement: incident learnings, feedback loops, backlog grooming, and quarterly roadmap reviews.</li><li>Ensure compliance with contract schedules: performance, security, support/maintenance obligations, and audit evidence requirements.</li></ul>SKILLS &amp; ABILITIES<ul><li>Strong product management capability for complex platform products (service catalog, APIs, multi-tenant services).</li><li>Good understanding of AI platforms (inference, RAG, fine-tuning, guardrails, governance) and cloud-native delivery.</li><li>Ability to define measurable KPIs/SLOs and manage delivery through acceptance criteria and outcomes.</li><li>Excellent stakeholder management across technical, commercial, legal, security, and operations teams.</li><li>Strong prioritization and decision-making under constraints; ability to manage dependencies across vendors.</li><li>Clear communication and narrative-building for executive and technical audiences</li></ul>POTENTIAL BACKGROUND<ul><li>8+ years in product management for platform, cloud, data, or AI/ML products in enterprise/government/telco contexts.</li><li>Experience delivering API-based products and developer platforms (documentation, SDKs, self-service onboarding).</li><li>Exposure to multi-vendor delivery models (SIs, managed services) and contract-based acceptance/KPI management.</li><li>Experience working with security, privacy, and data governance requirements in regulated environments.</li><li>Familiarity with cloud-native architectures and Kubernetes-based platforms; multicloud exposure preferred.</li><li>Prior experience launching AI-enabled products (assistants, RAG, analytics, governance) is a strong plus</li></ul>PREFERRED TOOLS / SOFT SKILLS<ul><li>Product delivery: Azure DevOps Boards, roadmapping tools (Aha!/Jira Product Discovery)</li><li>Analytics: PostHog, KPI dashboards (Power BI)</li><li>API/product artifacts: OpenAPI/Swagger, Postman, documentation portals (Backstage/ReadMe-style)</li><li>Collaboration: Miro, Figma, MS Teams</li></ul>Soft skills<ul><li>Strong facilitation and workshop leadership (requirements, prioritization, discovery)</li><li>Structured thinking and ability to simplify complex technical domains into clear product increments</li><li>Commercial awareness: scope control, value-based prioritization, and vendor management</li><li>Customer-centric mindset with bias toward measurable adoption and developer productivity</li><li>High ownership and accountability; ability to unblock delivery across teams</li><li>Confident communication with executives, architects, and vendors; crisp written documentation</li></ul>Job Type: PermanentPay: Up to QAR23,000.00 per monthWork Location: In person

Information Technology Senior Management Forum

<div><div>Posted Date
4/13/2026
</div><div>Description
<div>Senior Director, Product Management-Payments Intelligence
Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.
About the Team
We are seeking a technical product leader to serve as the Sr. Director, Payments Intelligence. In this role, you will be responsible for the strategic direction and leadership of a product team focused on developing AI/ML-powered data enrichment and consumer insight products. These products are tightly integrated with Capital One&rsquo;s application and platform ecosystem and are vital for creating innovative customer experiences and protecting the financial well-being of our customers across all segments.
Key Responsibilities and Focus<ul><li>
Platform Strategy and Vision: Define and prioritize the platform's strategy, grounded in deep technical knowledge and a strong understanding of user experience.</li><li>
Stakeholder Alignment and Partnership: Build strong, trust-based partnerships with product and technical leaders across the organization. Effectively navigate a matrixed environment to align and prioritize high-leverage initiatives that benefit the broader community.</li><li>
User Empathy and Impact: Empathize with both internal (first-line) and end-users. Steer the platform's development to achieve the greatest impact on outcomes for both internal users (developers, AI engineers, data scientists, analysts, and PMs) and end customers.</li><li>
Cross-Functional Collaboration: Collaborate closely with technology, data science, strategy, risk, and business teams to deliver immediate value while strategically advancing long-term goals.</li><li>
Passion for AI and Emerging Tech: Advocate for the transformative power of AI. Maintain a genuine interest in how Generative AI and intelligent automation can remove friction, automate repetitive tasks, and scale the impact of the team.</li></ul>
Ideal Candidate Profile<ul><li>
Technical Visionary: A leader who successfully blends deep technical knowledge with strong user empathy to create high-performing, intuitive solutions.</li><li>
Internal Product Expert: Demonstrated track record of building products for a diverse internal audience (developers, AI engineers, data scientists).</li><li>
Proven Leader: Significant experience as a technical Product Manager and a leader of high-performing product management teams.</li><li>
AI/ML Fluent: Working familiarity with enterprise-level AI/ML infrastructure and tooling.</li></ul>
Capital One Product Framework
In this role, you&rsquo;ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management:<ul><li>
Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions</li><li>
Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence</li><li>
Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value</li><li>
Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks</li><li>
Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment</li></ul>
Basic Qualifications:<ul><li>
At least 9 years of experience working in Product Management</li><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration</li></ul></li></ul>
Preferred Qualifications:<ul><li>
7+ years of experience in people leadership.</li><li>
5+ years of experience in innovative technology environments (Public Cloud, Open Source).</li><li>
5+ years of experience building scaled, real-time, AI/ML-powered data products.</li><li>
Experience with AI/ML technologies such as Kubernetes, Observability, Security, Experiment Management, or Model Monitoring.</li><li>
Experience translating business strategy into enterprise solutions and consumer-facing digital products</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $269,600 - $307,700 for Sr. Dir, Product Management 

New York, NY: $294,100 - $335,700 for Sr. Dir, Product Management 
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&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Director, Product Management-Payments Intelligence
Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.
About the Team
We are seeking a technical product leader to serve as the Sr. Director, Payments Intelligence. In this role, you will be responsible for the strategic direction and leadership of a product team focused on developing AI/ML-powered data enrichment and consumer insight products. These products are tightly integrated with Capital One&rsquo;s application and platform ecosystem and are vital for creating innovative customer experiences and protecting the financial well-being of our customers across all segments.
Key Responsibilities and Focus<ul><li>
Platform Strategy and Vision: Define and prioritize the platform's strategy, grounded in deep technical knowledge and a strong understanding of user experience.</li><li>
Stakeholder Alignment and Partnership: Build strong, trust-based partnerships with product and technical leaders across the organization. Effectively navigate a matrixed environment to align and prioritize high-leverage initiatives that benefit the broader community.</li><li>
User Empathy and Impact: Empathize with both internal (first-line) and end-users. Steer the platform's development to achieve the greatest impact on outcomes for both internal users (developers, AI engineers, data scientists, analysts, and PMs) and end customers.</li><li>
Cross-Functional Collaboration: Collaborate closely with technology, data science, strategy, risk, and business teams to deliver immediate value while strategically advancing long-term goals.</li><li>
Passion for AI and Emerging Tech: Advocate for the transformative power of AI. Maintain a genuine interest in how Generative AI and intelligent automation can remove friction, automate repetitive tasks, and scale the impact of the team.</li></ul>
Ideal Candidate Profile<ul><li>
Technical Visionary: A leader who successfully blends deep technical knowledge with strong user empathy to create high-performing, intuitive solutions.</li><li>
Internal Product Expert: Demonstrated track record of building products for a diverse internal audience (developers, AI engineers, data scientists).</li><li>
Proven Leader: Significant experience as a technical Product Manager and a leader of high-performing product management teams.</li><li>
AI/ML Fluent: Working familiarity with enterprise-level AI/ML infrastructure and tooling.</li></ul>
Capital One Product Framework
In this role, you&rsquo;ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management:<ul><li>
Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions</li><li>
Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence</li><li>
Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value</li><li>
Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks</li><li>
Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment</li></ul>
Basic Qualifications:<ul><li>
At least 9 years of experience working in Product Management</li><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration</li></ul></li></ul>
Preferred Qualifications:<ul><li>
7+ years of experience in people leadership.</li><li>
5+ years of experience in innovative technology environments (Public Cloud, Open Source).</li><li>
5+ years of experience building scaled, real-time, AI/ML-powered data products.</li><li>
Experience with AI/ML technologies such as Kubernetes, Observability, Security, Experiment Management, or Model Monitoring.</li><li>
Experience translating business strategy into enterprise solutions and consumer-facing digital products</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $269,600 - $307,700 for Sr. Dir, Product Management 

New York, NY: $294,100 - $335,700 for Sr. Dir, Product Management 
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&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
269,600.00 - 307,700.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Senior Director, Product Management-Payments Intelligence

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Do you want to help define the future of Go to Market (GTM) at AWS for generative AI (GenAI)? You will be part of the core worldwide GenAI Foundation Models GTM team focused on GenAI infrastructure for model training. You will be responsible for defining, building, and deploying targeted strategies to accelerate adoption of our services and solutions with lighthouse Frontier AI model builders across segments and industry verticals. You will be working directly with the most important customers in the GenAI model training and inference space helping them adopt and scale large-scale workloads (e.g., foundation models) on AWS, developing GTM plans, external/internal evangelism, and developing demos and proof-of-concepts. 
 
Key job responsibilities 
In this role, you will work closely with customers to understand the AI infrastructure requirements, complexities involved in scaling GenAI model training across modalities and use-cases that take advantage of the power of AWS&rsquo; storage, compute, networking, and GenAI technologies.
 
 
You will have the opportunity to define GTM strategies and lead cross-functional initiatives to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities. This involves activities such as market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts, creating content to train the field teams, driving industry thought-leadership, working with product teams to define new features, and identifying partners and potential acquisitions. 
 
As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with startups and large enterprises. You have domain expertise in key GenAI use cases, understand the challenges involved in training and deploying GenAI models, orchestrating workloads using containers/HPC services, and are able to work backwards from customer requirements to suggest scalable solutions and architectures. You have the technical depth to articulate the benefits of ML Frameworks and AWS services to data scientists, data engineers, and C-Level executives. In addition, you have a good understanding of the GenAI market trends, ecosystem, opportunities, and are passionate about market development. You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, and professional services) and externally with customers, partners, and importantly, the developer community of ML Frameworks and key open-source offerings.
 
 
You will be responsible for creating compelling content, and building scalable programs and mechanisms to increase awareness and adoption of ML Frameworks and AWS solutions. Additionally, you will work with Amazon SageMaker and Amazon EC2 product teams to shape product vision and prioritize features for GenAI infra. A keen sense of ownership, drive, and being scrappy is a must. 
 
 
 
About the team 
Diverse Experiences 
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
Inclusive Team Culture 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>Experience in business development, direct technology services sales, partnership management, or sourcing new business</li><li>5+ years of customer-facing product development and product management, including defining, launching, and optimizing product and services experience</li><li>5+ years of Go-To-Market, Business Development, Sales, or Consulting experience</li><li>5+ years of working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with SLURM, Kubernetes, GenAI infra platforms such as Fireworks</li><li>Experience in GPU architecture, AI models, distributed training and inference</li><li>Experience in end to end model development lifecycle</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;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 &amp; AD&amp;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 https://amazon.jobs/en/benefits. 
USA, CA, San Francisco - 179,000.00 - 242,200.00 USD annually 
USA, CA, Santa Clara - 179,000.00 - 242,200.00 USD annually 
USA, NY, New York - 179,000.00 - 242,200.00 USD annually 
USA, TX, Dallas - 162,700.00 - 220,200.00 USD annually 
USA, WA, Seattle - 162,700.00 - 220,200.00 USD annually</div>

Sr. Worldwide Specialist - GenAI, Foundation Models, Data & AI GTM

Experts Group International

<div>
 
 
 Position Title: AI Product Manager
 
 
 
 
 Contract: 2-year renewable contract
 
 
 
 
 Location: Ras Al Khaimah
 
 
 
 
 
 
 
 Job Purpose
 
 
 
 The organization is seeking an experienced AI Product Manager to lead the implementation and delivery of Generative AI and Agentic AI solutions across customer and operational journeys.
 
 
 This role focuses on translating business needs into scalable, AI-powered products, ensuring seamless integration with CRM, ERP, and internal systems. The AI Product Manager will drive execution from use case definition through rollout and adoption, ensuring measurable business impact and user value.
 
 
 The role also involves leading AI Engineers responsible for building and maintaining AI solutions, ensuring alignment between product vision and technical execution.
 
 
 
 
 
 
 Core Responsibilities
 
 
 
 
 AI Product Delivery &amp; Execution
 
 
 <ul>
 <li>
 Manage the lifecycle of Generative AI and Agentic AI solutions, from use case definition and user stories to deployment and continuous improvement.
 </li>
 <li>
 Lead backlog prioritization, sprint planning, and delivery tracking for:
 </li>
 <li>
 Conversational agents
 </li>
 <li>
 AI copilots
 </li>
 <li>
 Self-service journeys
 </li>
 <li>
 Lead AI Engineers and collaborate with platform and engineering teams to ensure timely, high-quality delivery.
 </li>
 </ul>
 
 
 Product Implementation &amp; Integration
 
 
 <ul>
 <li>
 Translate business requirements into configurable AI workflows and product features.
 </li>
 <li>
 Ensure seamless integration of AI solutions with CRM, ERP, and internal systems.
 </li>
 <li>
 Work closely with vendors and internal teams to ensure successful deployment and rollout of AI capabilities.
 </li>
 <li>
 Monitor product performance and drive continuous improvements and enhancements.
 </li>
 </ul>
 
 
 Roadmap Delivery &amp; Business Alignment
 
 
 <ul>
 <li>
 Translate AI roadmap initiatives into clear product plans with defined outcomes and KPIs.
 </li>
 <li>
 Align stakeholders on:
 </li>
 <li>
 Business objectives
 </li>
 <li>
 Success metrics
 </li>
 <li>
 Value realization
 </li>
 <li>
 Ensure UAT completion, documentation, and business readiness for each release.
 </li>
 </ul>
 
 
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Collaborate with:
 </li>
 <li>
 Data Scientists and ML Engineers
 </li>
 <li>
 Data Engineering teams
 </li>
 <li>
 CRM / ERP teams
 </li>
 <li>
 Business stakeholders
 </li>
 <li>
 Act as the central coordination point for AI product initiatives.
 </li>
 <li>
 Facilitate agile ceremonies including sprint reviews, demos, and UAT cycles.
 </li>
 </ul>
 
 
 User Experience &amp; Adoption
 
 
 <ul>
 <li>
 Ensure AI-powered features are:
 </li>
 <li>
 Intuitive
 </li>
 <li>
 Context-aware
 </li>
 <li>
 Adopted by end users
 </li>
 <li>
 Gather feedback, usage signals, and pain points to refine product fit.
 </li>
 <li>
 Drive adoption through demos, training, and stakeholder engagement.
 </li>
 </ul>
 
 
 Performance Tracking &amp; Optimization
 
 
 <ul>
 <li>
 Define and track key product metrics such as:
 </li>
 <li>
 Adoption rate
 </li>
 <li>
 Response quality
 </li>
 <li>
 Business impact (e.g., conversion, efficiency gains)
 </li>
 <li>
 Work with teams to continuously improve AI solutions based on data and feedback.
 </li>
 </ul>
 
 
 Training &amp; Support
 
 
 <ul>
 <li>
 Develop training materials and quick-reference guides for business users.
 </li>
 <li>
 Support ongoing enhancements and ad hoc AI product requirements.
 </li>
 <li>
 Ensure continuous improvement through user feedback loops.
 </li>
 </ul>
 
 
 
 
 
 Communication &amp; Working Relationships
 
 
 
 
 Internal
 
 
 <ul>
 <li>
 Data Engineering Team
 </li>
 <li>
 CRM and ERP Teams
 </li>
 <li>
 Business Users
 </li>
 </ul>
 
 
 Purpose of Interaction:
 
 
 <ul>
 <li>
 Collaborate on AI initiatives
 </li>
 <li>
 Ensure accurate data sourcing and integration
 </li>
 <li>
 Deliver business-aligned AI solutions
 </li>
 </ul>
 
 
 External
 
 
 <ul>
 <li>
 Implementation partners
 </li>
 <li>
 AI platform vendors
 </li>
 </ul>
 
 
 Purpose of Interaction:
 
 
 <ul>
 <li>
 Support implementation and governance
 </li>
 <li>
 Ensure timely and accurate vendor delivery
 </li>
 </ul>
 
 
 
 
 
 Qualifications, Experience &amp; Skills
 
 
 
 
 Educational and Professional Qualifications
 
 
 <ul>
 <li>
 Degree in Computer Science, Engineering, Data Science, or equivalent practical experience
 </li>
 <li>
 Specialization or hands-on experience in Generative AI, LLMs, or conversational AI frameworks
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 5+ years of experience in product management, AI/ML solutions, or digital product delivery
 </li>
 <li>
 Proven experience delivering:
 </li>
 <li>
 AI/ML-driven products
 </li>
 <li>
 Enterprise system integrations
 </li>
 <li>
 Cross-functional AI initiative
 </li>
 </ul>
</div>

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