AI Product Manager: Build & Scale AI Solutions

EPAM Systems Inc; México; Remote; MXN 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling and certification courses

Global career opportunities

Employee discounts

Job summary

EPAM Systems Inc is seeking an AI Product Manager to drive the strategy and execution of AI-enabled products across sales, marketing, and operations. You will partner with Worldwide Field Operations and Product teams to identify opportunities, define problems, and set success metrics.

You will own the AI backlog, triage requests, and build solutions from prototype to production, including AI agents and low-code workflows. Strong governance, security, and enterprise data usage are essential.

Qualifications

• Bachelor's or Master's degree in a relevant field or equivalent.
• At least 5 years of software/product management or RevOps experience.
• Experience building and shipping AI agents and automations.
• Strong knowledge of B2B sales, renewals, and channel dynamics.

Responsibilities

• Partner with Sales, Marketing, and Product to identify AI opportunities and define success metrics.
• Own AI backlog for go-to-market initiatives and triage requests.
• Build and ship AI agents and automated workflows from prototype to production.
• Evaluate AI solutions for accuracy, governance, and privacy.

Skills

Product management

AI capability

B2B sales knowledge

Communication

Team leadership

Education

Bachelor's degree or higher

Tools

Salesforce

Gong

Clari

PSA platforms

Claude Code

Job description

EPAM Systems Inc is seeking an AI Product Manager to drive the strategy and execution of AI-enabled products across sales, marketing, and operations. You will partner with Worldwide Field Operations and Product teams to identify opportunities, define problems, and set success metrics.

You will own the AI backlog, triage requests, and build solutions from prototype to production, including AI agents and low-code workflows. Strong governance, security, and enterprise data usage are essential.