Remote Senior Product Manager — Applied AI Strategy

EPAM Systems Inc; Boston (MA); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Health Savings Account

Flexible Spending Accounts

Disability Insurance

Life Insurance

Employee Assistance Program

LinkedIn Learning

401(k) Matching

Paid Time Off

Paid Holidays

Legal Plan

Identity Theft Protection

Pet Insurance

Job summary

EPAM Systems Inc. is growing a product-management team that leads AI-powered products across the lifecycle.

As a Senior Product Manager - Applied AI, you will own the vision, strategy, roadmap and delivery for one or more products, with at least one AI-powered offering, while mentoring other PMs. You will leverage practical AI literacy to shape product features, define success metrics, and ensure responsible AI practices.

Qualifications

• 5+ years in product management at scale.
• Experience delivering AI-powered features or products.
• Ability to own vision, roadmap, and monetization considerations.

Responsibilities

• Own the vision, strategy, roadmap and end-to-end delivery of AI-powered products.
• Define AI feature use cases, data scoping and evaluation criteria.
• Identify AI opportunities to improve product, CX, or business outcomes.
• Apply AI tools across discovery, analysis, and planning with verification of outputs.
• Prioritize features, manage backlogs, and oversee releases.
• Lead cross-functional teams including engineering, data, design and AI/ML.

Skills

AI product mgmt

Strategy & roadmap

Stakeholder mgmt

Cross-functional leadership

Discovery & analytics

Job description

EPAM Systems Inc. is growing a product-management team that leads AI-powered products across the lifecycle.

As a Senior Product Manager - Applied AI, you will own the vision, strategy, roadmap and delivery for one or more products, with at least one AI-powered offering, while mentoring other PMs. You will leverage practical AI literacy to shape product features, define success metrics, and ensure responsible AI practices.