Senior Product Manager | Applied AI

We are growing a product-management team that runs AI-powered products and applies AI across the whole product lifecycle. As a Senior Product Manager | Applied AI , you will own the vision, strategy, roadmap and delivery of one or more products — at least one of them AI-powered — while using AI day to day to work faster and make sharper decisions and mentoring other Product Managers as you do. What "Applied AI" means here. This is a product role, not an engineering role. We expect confident, practical command of AI as a product manager — using it across the lifecycle and shaping AI-powered features — not the ability to build, train or tune machine-learning models as an ML engineer or data scientist would. Req.#1100334046 Responsibilities Own the vision, strategy, roadmap and end-to-end delivery of one or more products, including at least one that is AI-powered Define requirements and use cases for AI features, treating them as probabilistic products — scoping data and use-case fit, and setting evaluation criteria, quality bars, guardrails and human-in-the-loop review as acceptance criteria Identify where AI can improve the product, the customer experience, internal processes or business outcomes — and build and size the case for it Use AI tools productively and with discipline across discovery, research synthesis, analysis, documentation, user stories, prototyping and planning — verifying outputs before relying on them Prioritise features, own the backlog and manage release cycles, using AI-assisted analysis to support (not replace) your decisions Manage the full product lifecycle, including the added considerations of AI features — model/version changes, quality drift and human oversight Work closely with engineering, data, design and AI/ML teams, translating product intent into requirements they can act on and their constraints into product decisions Set realistic expectations with clients and stakeholders about what AI can and cannot do, and communicate benefits, limitations and risks in plain language Mentor Product Managers and raise the team's practical AI capability by example Requirements 5+ years in Product Management, having managed one or more products end to end, including post-launch maintenance and support Launched more than one product (or key capability) to market, with at least one experience delivering or materially improving an AI-powered product or feature (e.g. GenAI, ML, recommendations, search or automation) Solid ownership of product strategy, vision and roadmap; market analysis and product visioning — including identifying and justifying where AI adds value Experience owning backlogs, cross-product dependencies and release cycles, and managing product lifecycle and support models Familiarity with product profitability, competitive positioning and pricing — including the cost, latency and quality trade-offs that shape AI-feature economics Expertise across multiple (3+) business domains, able to act as a business-domain SME Working AI literacy — what current AI (including GenAI/LLMs) can and cannot do reliably, common patterns and typical failure modes — enough to make sound product decisions and hold credible conversations with technical teams. Deep model-building knowledge is not required Able to influence stakeholders up to and including VP level, and to lead all critical aspects of a product launch Able to lead a team of Product Owners and/or Product Managers across a product line or family, guiding them through the full lifecycle Raises the team's practical AI proficiency — sharing verified ways of working and coaching on requirements and evaluation criteria for AI features Practical, daily use of AI across research, discovery, analysis, documentation, user stories, prototyping and planning — with verification of outputs Ability to identify and justify AI opportunities in products, processes, CX and business outcomes Working AI literacy — concepts, terminology, capabilities and limitations at PM depth Experience defining requirements and use cases for AI features, including evaluation criteria, quality bars, guardrails and human oversight Ability to evaluate AI outputs for quality, accuracy, risk, limitations and user impact Responsible-AI awareness — privacy, bias, security, transparency and human oversight Ability to work effectively with engineering, data, design and AI/ML teams Adaptability and continuous learning as AI tools and capabilities evolve Nice to have Hands-on prototyping with AI builder tools to near-production fidelity Building PM agents / multi-step automations across research, backlog, analytics and comms Understanding of AI-feature economics (cost, latency, unit economics) and model lifecycle (drift, versioning, vendor change) Familiarity with AI regulation (e.g. EU AI Act) and relevant sector rules Prior experience taking an AI-powered product to production at scale We offer Medical, Dental and Vision Insurance (Subsidized) Health Savings Account Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Short-Term and Long-Term Disability (Company Provided) Life and AD&D Insurance (Company Provided) Employee Assistance Program Unlimited access to LinkedIn learning solutions Matched 401(k) Retirement Savings Plan Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time) Paid Holidays - nine (9) total per year Legal Plan and Identity Theft Protection Accident Insurance Employee Discounts Pet Insurance Employee Stock Purchase Program If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program For remote work in New York City only. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. Engineer the Future with a Career at EPAM This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training, the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $150,000-$220,000 USD. This position is also eligible for variable compensation incentives. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position. Applications will be accepted on a rolling basis. EPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #J-18808-Ljbffr EPAM Systems