Product Manager, Employee Experiences

Stripe is a financial infrastructure platform for businesses that helps companies accept payments, grow revenue, and accelerate new business opportunities. The Product Manager will own products that improve employee access to People-related guidance and tasks, leading product strategy, development, adoption, measurement, and iteration. The role focuses on employee experience, enterprise systems, data, and applied AI while partnering with People, engineering, security, legal, and other teams.

Responsibilities:

• Develop a deep understanding of employees, managers, and People practitioners, then translate their most important needs into a focused product roadmap
• Own products end to end, from problem discovery and strategy through delivery, adoption, measurement, and iteration
• Design coherent experiences that connect fragmented data, knowledge, workflows, and systems
• Partner closely with the People org, engineering, data, security, legal, and others to make sound product and architecture tradeoffs
• Define measures to understand adoption, engagement, and impact for products and develop insights into the metrics to guide improvements to the product
• Develop agentic People products and define where systems may recommend, act, escalate, or defer to accountable human judgment
• Use AI-enabled tools throughout product development and help establish effective practices for AI-assisted discovery, prototyping, specification, testing, and iteration
• Lead adoption and establish sustainable ownership and support for products that change established ways of working

Requirements:

• 5+ years of product management or equivalent experience leading the development of software products for internal or external users
• Experience independently navigating ambiguity, identifying the underlying user problem, and converting broad strategies into focused product roadmaps
• Experience shipping products that connect workflows, data, and multiple systems or teams
• Practical understanding of AI and machine-learning product development beyond using LLM-based tools, including model capabilities, data requirements, evaluation methods, failure modes, privacy considerations, and the tradeoffs between probabilistic, deterministic, and human-led approaches
• Experience using AI-enabled tools to improve the quality and speed of product discovery, prototyping, delivery, or evaluation
• Demonstrated ability to lead across functions and build alignment among stakeholders with different expertise, incentives, and responsibilities
• Experience designing products where user trust, privacy, permissions, or other sensitive requirements are central to the product experience
• Experience with employee products, human-resources technology, People operations, enterprise workflow, or manager-facing tools
• Experience building governed data products, self-service experiences, or role-aware applications
• Experience shipping agentic or AI/ML-powered products for People or another trust-sensitive domain, with appropriate evaluation, privacy safeguards, escalation, and human accountability
• Experience leading adoption and organizational change for products that replace established manual processes