Senior Enterprise AI Product Leader (Hands-On & Strategy)

EPAM Systems Inc; Chile; À distance; CLP 40 000 000 - 70 000 000; Plein temps

Avantages offerts par ce poste

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling and certification courses

Global career opportunities

Résumé du poste

EPAM Systems Inc. is seeking a Senior Product Manager to own the Enterprise AI portfolio end-to-end, leading prioritization, timelines, and outcomes across global teams.

You will oversee hands-on design of AI agents and workflows using Claude, GPT, Gemini, Glean, and AWS Bedrock, and drive portfolio planning, reporting, and executive updates.

The role emphasizes stakeholder alignment, cost and risk assessment, and delivering measurable business value in a fast-evolving AI landscape.

Qualifications

• 5+ years delivering technology programs or portfolios across multiple teams.
• Hands-on leadership with experience building generative AI solutions.
• Strong communication with C-level audiences and dashboards in Jira.

Responsabilités

• Own Enterprise AI portfolio scope, priority, timelines and ownership.
• Lead hands-on design of AI agents and workflows with leading platforms.
• Evaluate model choices, platforms, and risk, balancing cost and feasibility.
• Organize portfolio planning, QBRs, and executive updates.

Connaissances

Portfolio management

Leadership

Stakeholder management

Executive storytelling

Delivery tracking

Formation

Bachelor's or Master's degree in Computer Science/Engineering/IT

Outils

Jira

AWS Bedrock

OpenAI / Claude

Glean

Gemini

Vertex AI

Copilot/Codex

Description du poste

EPAM Systems Inc. is seeking a Senior Product Manager to own the Enterprise AI portfolio end-to-end, leading prioritization, timelines, and outcomes across global teams.

You will oversee hands-on design of AI agents and workflows using Claude, GPT, Gemini, Glean, and AWS Bedrock, and drive portfolio planning, reporting, and executive updates.

The role emphasizes stakeholder alignment, cost and risk assessment, and delivering measurable business value in a fast-evolving AI landscape.