Senior Product Manager, Applied AI - Lead AI Products

EPAM Systems; México; In loco; MXN 900.000 - 1.200.000; Tempo pieno

Vantaggi offerti da questo lavoro

Career growth opportunities

English classes

Flexible work schedule

Multicultural environment

Mentoring and training programs

Descrizione del lavoro

EPAM Systems seeks a Senior Product Manager, Applied AI, to own the vision, strategy, roadmap, and delivery of AI-powered products. You will work across discovery to release, collaborating with engineering, data, design and AI/ML teams while mentoring other product managers.

You will define AI feature requirements, evaluate data needs, and communicate benefits, limitations and risks clearly to clients and stakeholders. Strong ownership of product lifecycle and governance is essential.

Competenze

• 5+ years in Product Management with end-to-end ownership of one or more products.
• Experience delivering or materially improving an AI-powered product or feature (GenAI, ML, recommendations, search, automation).
• Ability to influence stakeholders up to VP level and lead product launches.
• Experience owning backlogs, cross-product dependencies and release cycles.
• Familiarity with AI value assessment, governance and human oversight across lifecycle.

Mansioni

• Own the vision, strategy, roadmap and end-to-end delivery for one or more products, including at least one AI-powered product.
• Define requirements and use cases for AI features, setting evaluation criteria and guardrails.
• Identify AI opportunities to improve products, CX, or business outcomes and size the case.
• Coordinate with engineering, data, design and AI/ML teams to translate product intent into actionable requirements.
• Mentor Product Managers and raise the team's AI capability.

Conoscenze

Product Management

AI literacy

Stakeholder management

Team leadership

Roadmapping

Requirements definition

Cross-functional collaboration

Descrizione del lavoro

EPAM Systems seeks a Senior Product Manager, Applied AI, to own the vision, strategy, roadmap, and delivery of AI-powered products. You will work across discovery to release, collaborating with engineering, data, design and AI/ML teams while mentoring other product managers.

You will define AI feature requirements, evaluate data needs, and communicate benefits, limitations and risks clearly to clients and stakeholders. Strong ownership of product lifecycle and governance is essential.