Senior Applied AI Product Manager

EPAM Systems; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

EPAM Systems is seeking a Senior Product Manager – Applied AI to drive AI-powered products across the lifecycle. You will own vision, strategy, and delivery for multiple products including at least one AI-driven solution, mentoring other Product Managers and leveraging AI to accelerate workflows.

You will work with engineering, data, design, and AI/ML teams to translate product intent into actionable requirements, ensuring responsible and high‑impact AI outcomes at scale.

Qualifications

• Minimum of 5 years of professional experience in Product Management, successfully managing one or more products end to end through post-launch maintenance and support.
• Hands-on experience delivering or enhancing AI-powered products or features (generative AI, ML, recommendation engines, search algorithms, or automation tools).
• Strong ownership of product strategy, vision, roadmapping, market analysis, and the ability to identify high-value AI opportunities.

Responsibilities

• Own the complete vision, strategic direction, roadmap execution, and end-to-end delivery of one or more products, ensuring at least one AI-powered solution.
• Define precise requirements and use cases for AI features, with data scopes, evaluation criteria, quality thresholds, safety guardrails, and human-in-the-loop review mechanisms as acceptance standards.
• Identify strategic opportunities where AI can elevate product value, customer experience, internal processes, and business outcomes with rigorous business cases.

Job description

EPAM Systems is seeking a Senior Product Manager – Applied AI to drive AI-powered products across the lifecycle. You will own vision, strategy, and delivery for multiple products including at least one AI-driven solution, mentoring other Product Managers and leveraging AI to accelerate workflows.

You will work with engineering, data, design, and AI/ML teams to translate product intent into actionable requirements, ensuring responsible and high‑impact AI outcomes at scale.