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 Git

Hub 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

RequirementsA 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 teamsA 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 AIExposure to agent frameworks and protocols such as Claude Agent SDK, OpenAI Agents SDK, Lang

Graph, MCP, and A2ASolid 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 Git

Hub 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 Lang

Graph 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

Strong foundation in prompt engineering for crafting and refining effective AI interactions

Solid capability in stakeholder management across both technical and business groups

Background working with vector databases to enable retrieval-based AI functionality

We offer

International projects with top brands

Work with global teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the Linked

In Learning library and 22,000+ courses

General career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and Linked

In #J-18808-Ljbffr

📌 Senior Product Manager (Argentina)
🏢 EPAM Systems
📍 Argentina