AI Product Manager: Build Real AI Solutions & GTM Impact

EPAM Systems Inc; Argentina; Remote; ARS 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Learning & development (LinkedIn Lear"

Job summary

EPAM Systems Inc in Argentina is seeking an AI Product Manager to drive the translation of emerging AI capabilities into tangible business solutions. You will partner with sales, marketing, operations, and product teams to define problems, users, and success criteria.

The role involves charting end-to-end go-to-market workflows, owning the AI backlog, and evaluating make-vs-buy options such as custom agents or integrations with Salesforce, Gong, or Marketo.

Qualifications

• Minimum 8 years in software development, product management, RevOps, sales, marketing, or related roles.
• Proven track record building and launching AI agents and automation tools.
• Experience with enterprise platforms like Salesforce, Gong, or Marketo is a plus.

Responsibilities

• Collaborate with sales, marketing, and product teams to surface AI opportunities and define problems and success criteria.
• Chart end-to-end go-to-market workflows and optimize lead-to-cash, renewals, and enablement processes.
• Own AI backlog prioritization and determine best build vs. buy solutions across platforms.
• Draft requirements and guide development with AI coding assistants and integrations.
• Establish evaluation frameworks for accuracy, tone, and governance with Security and Legal teams.

Skills

AI product management

go-to-market strategies

cross-functional collaboration

sales/marketing/ops liaison

AI governance/security/privacy

prompt engineering

Education

Bachelor's or Master's degree

Tools

Claude Code

Claude Projects

Salesforce

Gong

Clari

PSA tools

API integrations

Job description

EPAM Systems Inc in Argentina is seeking an AI Product Manager to drive the translation of emerging AI capabilities into tangible business solutions. You will partner with sales, marketing, operations, and product teams to define problems, users, and success criteria.

The role involves charting end-to-end go-to-market workflows, owning the AI backlog, and evaluating make-vs-buy options such as custom agents or integrations with Salesforce, Gong, or Marketo.