Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
LLM @ 4
Machine Learning @ 4
Payments
Product Management @ 6
Security
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Who We Are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Stripe’s mission is to increase the GDP of the internet.
About the Team
Stripe’s Financial Systems organization partners with Stripe’s People organization to build trusted, intuitive products for employees, managers, and People professionals. The team aims to make routine interactions simple and self-service while ensuring that work requiring judgment or care reaches the right person with the right context.
Its products connect data, knowledge, workflows, and systems across the employee experience. The team is building toward a future in which employees and managers can get accurate answers and complete common tasks without navigating fragmented tools, while People teams can focus on work that benefits most from their expertise.
What You’ll Do
Own products that help employees get accurate guidance and complete common People-related tasks, while enabling People teams to focus on work requiring judgment and care. Identify high-impact user problems, define product strategy and roadmaps, and lead products from discovery through delivery, adoption, and iteration.
This role focuses on the intersection of employee experience, enterprise systems, data, and applied AI. You will help develop agentic products that connect people to accurate guidance, automate appropriate actions, and help People practitioners focus their expertise where it matters most. The role requires understanding the capabilities and limitations of AI and machine learning when applied to business-critical, regulated, and strictly governed problems. You will also use AI-enabled tools throughout the product development lifecycle to accelerate discovery, prototyping, requirements development, evaluation, and iteration while protecting employee trust.
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 with the People organization, engineering, data, security, legal, and other teams to make sound product and architecture tradeoffs.
- Define measures for adoption, engagement, and product impact, and develop insights to guide improvements.
- 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
Minimum 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 underlying user problems, 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 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.
Preferred Qualifications
- 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.