Product Manager

EPAM Systems Inc; México; Remote; MXN 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling / reskilling courses

Global career opportunities

Job summary

EPAM Systems Inc. is seeking an experienced Product Manager to own the Enterprise AI portfolio end-to-end and provide a clear, trusted view of delivery, scope, and impact.

You will collaborate with developers, business stakeholders, leadership, Enterprise Architecture, Security, and Data teams across global teams to design and implement AI agents and workflows using Claude, GPT, Glean, Gemini, and Bedrock. You will lead portfolio planning, define reusable patterns, establish best practices, and

Qualifications

• 8+ years delivering technology programs across multiple teams
• Experience building generative AI solutions with frontier models
• Strong leadership, stakeholder management, and executive communication

Responsibilities

• Own the Enterprise AI portfolio end-to-end, serving as the single source of truth for scope, priority, status, dates, dependencies, risks, and owners
• Design and build AI agents, assistants, and automated workflows hands-on using leading AI tools
• Lead portfolio planning and prioritization with leadership and plan capacity across internal and contractor teams
• Prepare and lead QBRs, deliver executive readouts to IT and company leadership, and provide regular status updates to sponsors

Skills

Leadership

Strategic planning

Cross-team collaboration

Stakeholder communication

Education

Bachelor's or Master's in CS/Engineering/IT

Tools

Jira

Job description

We are looking for a Product Manager to join our team. Own the Enterprise AI portfolio and help build what is in it: give leadership a clear, trusted view of what is being delivered, when, and with what result, and go deep on the technology by understanding what each request needs, designing the approach, and building AI solutions hands-on. Work with developers, business stakeholders, leadership, Enterprise Architecture, Security, and Data teams across global teams.ResponsibilitiesOwn the Enterprise AI portfolio end to end, serving as the single source of truth for scope, priority, status, dates, dependencies, risks, and ownersDesign and build AI agents, assistants, and automated workflows hands-on using tools such as Anthropic Claude, OpenAI, Google Gemini, Glean, and AWS Bedrock, carrying solutions from prototype through to productionUse AI coding tools such as Claude Code, OpenAI Codex, Cursor, and GitHub Copilot to support hands-on development workAssess the AI approach behind each request, including model selection, platform choice, and agent pattern, while evaluating feasibility, cost, effort, and riskEvaluate new models, agent frameworks, and AI tools, and make recommendations on adoptionLead portfolio planning and prioritization sessions with leadership, and plan capacity across internal developers and contractor teamsBuild and maintain the Enterprise AI roadmap, managing cross-team dependencies and risks along the wayDefine and report on portfolio metrics such as throughput, cycle time, on-time delivery, and capacity utilization, while measuring business value after launchPrepare and lead QBRs, deliver executive readouts to IT and company leadership, and provide regular status updates to executive sponsorsEstablish reusable patterns, standards, and best practices for planning, building, and shipping AI workRequirementsA Bachelor's or Master's degree in Computer Science, Engineering, IT, or an equivalent fieldA minimum of 8 years of relevant experience in technology delivery, including hands-on building and leading portfolio or program management across multiple teamsAt least 3 years in Senior, Lead, Manager, or Owner-level rolesProven track record managing engagements for teams of 20 or more full-time employeesHands-on experience building generative and agentic AI solutions with frontier models such as Claude, GPT, Glean, and GeminiPractical experience with AI cloud platforms, including AWS Bedrock, Azure AI Foundry, and Google Vertex AIFamiliarity with agent frameworks and protocols, including Claude Agent SDK, OpenAI Agents SDK, LangGraph, MCP, and A2AWorking knowledge of prompt and context engineering, RAG, vector databases, tool use, and multi-agent orchestrationExperience with AI evaluation, observability, and guardrails, including tracking model quality, cost, and token usageDaily, hands-on use of AI coding tools such as Claude Code, Cursor, Codex, and CopilotExperience with capacity planning and managing demand/capacity trade-offs across internal and contractor teamsStrong skills in portfolio tooling and reporting, particularly Jira, including building dashboards that leaders actively use, along with delivery and business-value metricsProven ability to influence senior leaders, with experience leading QBRs and executive readouts backed by strong storytelling for C-level audiencesFluent English communication skills at a C1 level or higherNice to haveFamiliarity with AI governance principles to support responsible and compliant AI adoptionExperience with AWS Bedrock for building and scaling generative AI solutionsBackground working with agentic SDKs to support agent development and orchestrationHands-on experience with Anthropic Claude for AI-driven solution developmentExperience using Atlassian Jira for tracking work and managing project portfoliosFamiliarity with Azure AI Foundry tools for building and deploying AI solutionsKnowledge of context engineering techniques to improve AI model performance and relevanceExperience using Cursor as an AI-assisted coding toolBackground in GenAI agent evaluation and testing to ensure quality and reliabilityExperience using GitHub Copilot to support AI-assisted software developmentFamiliarity with Glean for enterprise search and knowledge discoveryExperience with Google Vertex AI for building and deploying machine learning and AI solutionsWorking knowledge of LangGraph for orchestrating multi-agent AI workflowsExperience with the OpenAI Agents SDK in Python for building agentic solutionsFamiliarity with OpenAI Codex for AI-assisted code generationStrong grounding in prompt engineering to design and refine effective AI interactionsSolid stakeholder management skills across technical and business audiencesExperience working with vector databases to support retrieval-based AI solutionsWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM 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.