Senior Product Manager

EPAM Systems Inc; United States; À distance; USD 170 000 - 220 000; Plein temps

Résumé du poste

EPAM Systems Inc. is seeking a Senior Product Manager to take full ownership of the Enterprise AI portfolio. You will lead from the front, delivering transparent timelines, outcomes, and a clear plan while actively building AI solutions.

You will coordinate with global developers, business stakeholders, leadership, Enterprise Architecture, Security, and Data teams. The role requires hands-on design of AI agents and workflows, evaluation of models and platforms, and regular executive-facing

Qualifications

• Bachelor's or Master's in Computer Science, Engineering, IT, or related discipline.
• 5+ years delivering technology across portfolio or program management spanning multiple teams.
• Minimum 2 years in Senior, Lead, Manager, or Owner-level positions.
• Direct hands-on background building generative AI solutions using frontier models (Claude, GPT, Gemini).
• Experience with AI cloud platforms (AWS Bedrock, Azure Foundry, Vertex AI).
• Exposure to agent frameworks/protocols (Claude Agent SDK, OpenAI Agents SDK, LangGraph, MCP, A2A).
• Strong understanding of prompt engineering, RAG, vector databases, and multi-agent orchestration.
• Experience with AI coding tools (Claude Code, Cursor, Codex, Copilot).
• Capacity planning and balancing demand across internal teams and contractors.
• Portfolio tracking/reporting in Jira with leadership dashboards.

Responsabilités

• Take ownership of the Enterprise AI portfolio, defining scope, priority, status, and timelines.
• Hands-on design and construction of AI agents and workflows using leading platforms.
• Apply AI coding tools to support direct development work.
• Evaluate technical strategy, platform choices, and agent design for feasibility and cost.
• Investigate new models/frameworks and recommend adoption.
• Lead portfolio planning and capacity mapping across internal and contractor resources.
• Develop and maintain the Enterprise AI roadmap, managing dependencies and risks.
• Establish and report portfolio-level metrics and business value realization.
• Organize QBRs and deliver executive-level summaries to IT and leadership.
• Create reusable frameworks, standards, and best practices for AI initiatives.

Connaissances

Leadership

Communication

English (C1+)

Executive influence

Portfolio tracking

Formation

Bachelor's or Master's degree in Computer Science, Engineering, IT, or related discipline

Outils

Jira

Anthropic Claude

OpenAI

AWS Bedrock

Azure AI Foundry

Google Vertex AI

Glean

LangGraph

OpenAI Codex

Claude Code

GitHub Copilot

Description du poste

We're looking to add a Senior Product Manager to our team. Take full ownership of the Enterprise AI portfolio and play a hands-on role in building what's within it: offer leadership a transparent, dependable picture of deliverables, timing, and outcomes, while diving deep into the underlying technology — grasping what each request demands, shaping the right approach, and constructing AI solutions yourself. You'll coordinate with developers, business stakeholders, leadership, Enterprise Architecture, Security, and Data teams spread across global locations.

Responsibilities

• Take complete ownership of the Enterprise AI portfolio, acting as the definitive source for scope, priority, status, timelines, dependencies, risks, and ownership assignments
• Hands-on design and construction of AI agents, assistants, and automated workflows using platforms like Anthropic Claude, OpenAI, Google Gemini, Glean, and AWS Bedrock, driving them from early prototype to live production
• Apply AI-powered coding tools such as Claude Code, OpenAI Codex, Cursor, and GitHub Copilot to support direct development work
• Evaluate the technical strategy behind each incoming request, covering model choice, platform selection, and agent design, while weighing feasibility, cost, effort, and associated risk
• Investigate emerging models, agent frameworks, and AI tooling, putting forward recommendations on what should be adopted
• Facilitate portfolio planning and prioritization discussions with leadership, while mapping out capacity across both internal development staff and contractor resources
• Construct and sustain the Enterprise AI roadmap, overseeing dependencies and risks that span multiple teams
• Establish and report portfolio-level metrics, such as throughput, cycle time, on-time delivery, and capacity utilization, while assessing business value once solutions go live
• Organize and run QBRs, present executive-level summaries to IT and company leadership, and keep executive sponsors informed through regular status updates
• Create reusable frameworks, standards, and best practices covering how AI work gets planned, built, and delivered

Requirements

• A Bachelor's or Master's degree in Computer Science, Engineering, IT, or a related discipline
• At least 5 years of applicable experience in technology delivery, encompassing both hands-on development and leadership of portfolio or program management spanning multiple teams
• A minimum of 2 years spent in Senior, Lead, Manager, or Owner-level positions
• Demonstrated history managing engagements for teams of 5 or more full-time staff
• Direct, hands-on background building generative and agentic AI solutions using frontier models such as Claude, GPT, Glean, and Gemini
• Working experience with AI cloud platforms, including AWS Bedrock, Azure AI Foundry, and Google Vertex AI
• Exposure to agent frameworks and protocols such as Claude Agent SDK, OpenAI Agents SDK, LangGraph, MCP, and A2A
• Solid understanding of prompt and context engineering, RAG, vector databases, tool use, and orchestration across multiple agents
• Background in AI evaluation, observability, and guardrail implementation, including monitoring model quality, cost, and token consumption
• Regular, day-to-day application of AI coding tools including Claude Code, Cursor, Codex, and Copilot
• Experience handling capacity planning and balancing demand against capacity across internal teams and contractors
• Strong command of portfolio tracking and reporting tools, particularly Jira, including creating dashboards leadership genuinely relies on, plus metrics tied to delivery and business value
• Demonstrated capacity to sway senior leadership, having run QBRs and executive readouts with compelling storytelling suited for C-level audiences
• Fluent English communication skills at a C1 level or higher

Nice to have

• Working knowledge of AI governance frameworks to support compliant, responsible AI practices
• Background applying AWS Bedrock to construct and scale generative AI solutions
• Experience with agentic SDKs that support agent development and coordination
• Direct experience working with Anthropic Claude for AI solution development
• Background using Atlassian Jira for managing and tracking portfolio-level work
• Familiarity with Azure AI Foundry tools for constructing and deploying AI capabilities
• Knowledge of context engineering approaches that strengthen AI model relevance and output
• Experience applying Cursor as part of an AI-supported coding workflow
• Background in evaluating and testing GenAI agents to confirm quality and dependability
• Experience leveraging GitHub Copilot to support AI-enhanced software development
• Knowledge of Glean for supporting enterprise search and knowledge discovery
• Background using Google Vertex AI for developing and deploying ML and AI solutions
• Familiarity with LangGraph for coordinating workflows across multiple AI agents
• Experience with the OpenAI Agents SDK in Python for constructing agent-based solutions
• Knowledge of OpenAI Codex to support AI-driven code generation
• Knowledge of Glean for supporting enterprise search and knowledge discovery
• Background using Google Vertex AI for developing and deploying ML and AI solutions
• Familiarity with LangGraph for coordinating workflows across multiple AI agents
• Experience with the OpenAI Agents SDK in Python for constructing agent-based solutions
• Knowledge of Glean for supporting enterprise search and knowledge discovery