Director, Product Management Applied AI

EPAM Systems; Brasil; Remote; BRL 450,000 - 900,000; Full time

Job summary

EPAM Systems, Inc. is seeking a Director of Product Management to lead a portfolio of AI-powered products, owning strategy, P&L and governance across the portfolio.

You will build and coach a high-performing PM team, set AI-driven product direction and sequence the roadmap against advancing AI capabilities. You will drive build/buy/partner decisions, own AI business cases and ROI, and ensure responsible-AI standards across functions, while collaborating with product, engineering, data, design

Qualifications

• 7+ years in Product Management with leadership of PM/PO teams and multiple product lines.
• Launched 3+ products to market, including AI-powered capabilities.
• Own vision, roadmap and P&L for a multi-product portfolio and align with strategic goals.
• Experience prioritizing ROI and forming AI business cases with build/buy/partner decisions.
• Strong stakeholder management and ability to challenge technical proposals credibly.
• Deep understanding of AI concepts and governance including responsible-AI practices.

Responsibilities

• Lead and develop a team of Product Managers across a multi-product portfolio.
• Set AI-informed product strategy, roadmap sequencing and investment decisions.
• Own AI feature economics and lifecycle, including cost, latency and pricing.
• Define standards, governance and review gates for AI features and responsible use.
• Collaborate across product, engineering, data, design and AI/ML teams with clear accountability.
• Represent the organization on AI product strategy with senior clients and manage expectations.

Skills

Product leadership

AI product strategy

P&L ownership

Team leadership

Portfolio management

ROI analysis

Build/Buy/Partner decisions

Governance of AI

Job description

We are looking for a product leader to run a portfolio that includes AI-powered products and to own how our Product Management team applies AI — the strategy, standards, investment decisions, governance and team capability. You will lead and develop a team of Product Managers, own product strategy and P&L across the portfolio, and raise the organization's product-AI capability.What \"Applied AI\" means at Director level. The emphasis shifts from doing the hands-on AI work to judging it, funding the right AI bets and setting the guardrails. This is a product-leadership role — not an engineering, data-science or AI-research role. You set direction and standards for the specialists who build.ResponsibilitiesLead and develop a team of Product Managers running a portfolio that includes AI-powered products; own product strategy, vision and P&L across that portfolioSet an AI-informed product strategy — where AI creates durable advantage, where it is commoditizing, and how to sequence the roadmap against advancing AI capabilityMake build / buy / partner and investment decisions for AI capabilities; own AI business cases and ROI; fund the right experiments and know when to stop themOwn AI-feature economics and lifecycle across the portfolio — cost, latency, unit economics, pricing, and model-lifecycle decisions (drift, versioning, vendor change)Set the standards, operating model and review gates for how the team builds AI features and uses AI in its own work, so quality and responsibility are consistentOwn responsible-AI governance — privacy, bias, security, transparency, human oversight, audit trails, incident response, and applicable regulation (e.g., EU AI Act) and sector rulesRaise the team's AI capability through coaching, playbooks, shared prompt/agent libraries and an AI component in the hiring bar; advise business units or clients on adoptionDirect effective collaboration across product, engineering, data, design and AI/ML teams, keeping product intent, constraints and accountability clearRepresent the organization credibly on its AI product strategy with senior clients — setting realistic expectations rather than over-promisingRequirements7+ years in Product Management, having managed products, product lines/families and/or groups, with experience leading PM/PO teams; developed and/or launched 3+ products to market, including AI-powered products or capabilitiesOwnership of product vision, roadmap and P&L, and of strategic roadmap alignment across a portfolioPortfolio analysis and strategy formulation; prioritizing spend by ROI and supporting financial models — including AI business cases and build/buy/partner decisionsTrack record aligning product strategy with new technologies, assessing and adopting emerging AI capabilities responsiblySME across multiple (3+) business domains; deep grasp of consumer trends, technological disruption and competitive factors — including how AI is reshaping the domainAI literacy sufficient to lead — understands AI concepts, capabilities and limitations well enough to make sound portfolio and investment decisions and to challenge technical proposals credibly; ML-engineering / data-science depth is not requiredAble to shape company product strategy, convey difficult messages to senior stakeholders and own key initiatives and business KPIsLeads, develops and champions a team of Product Managers across a multi-product portfolio; identifies and plans for performance improvementSets the operating model for how the team applies AI, and raises its proficiency through enablement, coaching and a clear hiring barAI-informed product/portfolio strategy — advantage vs commoditization, build/buy/partner, AI business cases and ROI, roadmap sequencing against AI capabilityResponsible-AI governance across the portfolio — privacy, bias, security, transparency, human oversight, audit trails/incident response and relevant regulationOwnership of AI-feature economics and lifecycle — cost, latency, unit economics, pricing, drift/versioning/vendor decisionsSetting AI standards and review gates for how the team builds AI features and uses AIRaising team AI capability — enablement, coaching, playbooks, shared tooling, hiring barAbility to evaluate AI outputs, prototypes and technical proposals and fund the right betsWorking AI literacy — concepts, capabilities and limitations sufficient to lead and challengeContinued practical use of AI in own work and adaptability as AI evolvesAbility to direct effective collaboration across engineering, data, design and AI/ML teamsNice to haveDeep hands-on AI prototyping or feature-building (valued, but expected to plateau here — it is the Senior PM / IC strength; the Director's job is to judge and fund, not build)External thought leadership on AI product management (talks, publications, community)Direct experience standing up an AI governance or enablement program at organization scaleEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.