Director, Product Management Applied AI

EPAM Systems, Inc.; México; Híbrido; MXN 300.000 - 550.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Career growth

LinkedIn Learning access

Flexible work schedule

Multicultural environment

Employee stock purchase plan

English language training

Descripción de la vacante

EPAM Systems, Inc. is seeking a Director of Product Management to lead a portfolio of AI-powered products. You will own the strategy, P&L and roadmap across the portfolio, partnering with AI/ML, data, design and engineering to elevate product outcomes.

You will set governance, guardrails and standards for AI feature development, coach PMs, and champion responsible-AI practices while aligning with senior clients on realistic expectations and ROI.

Formación

• 7+ years in Product Management with managed products or groups.
• Led 3+ products to market, including AI-powered capabilities.
• Own vision, roadmap and P&L across a multi-product portfolio.

Responsabilidades

• Lead and develop a team of Product Managers across AI-powered products.
• Define AI-informed product strategy, sequencing roadmap with advancing AI capability.
• Make build/buy/partner and investment decisions for AI capabilities with ROI focus.

Conocimientos

Portfolio management

P&L ownership

Team leadership

AI strategy

Product management

Stakeholder management

ROI analysis

Governance

AI literacy

Descripción del empleo

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 scaleWe offerCareer plan and real growth opportunitiesUnlimited access to LinkedIn learning solutionsConstant training, mentoring, online corporate courses, eLearning and moreEnglish classes with a certified teacherSupport for employee’s initiatives (Algorithms club, toastmasters, agile club and more)Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)Flexible work schedule and dress codeCollaborate in a multicultural environment and share best practices from around the globeHired directly by EPAM & 100% under payrollLaw benefits (IMSS, INFONAVIT, 25% vacation bonus)Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)13 % employee savings fund, capped to the law limitGrocery coupons30 days December bonusEmployee Stock Purchase Plan12 vacations daysOfficial Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)Monthly non-taxable amount for the electricity and internet billsEPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, 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.By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.EPAM 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.