StripeEngineering Manager, Agentic Commerce
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. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Agentic payments is a team that’s building news API and integration experiences for agentic commerce online. We think that the proliferation of consumer-facing AI experiences will unlock new ways that consumers buy things online, and our existing payments experiences need to evolve to new commercial models that cutting-edge builders are starting. Our first launch, Instant Checkout in collaboration with OpenAI, took the industry by storm and we’re bringing experiences like that to the entire universe of AI agents, and sellers.
What you’ll do
As an Engineering Manager on Agentic Commerce, you’ll own the shaping and delivery of transformative products that redefine how commerce works, making it more fluid, automated, and aligned with user intent. You’ll collaborate closely with product management, design, data science, and marketing to unlock new opportunities for our customers and partners globally.
Our north star provides a new integration shape for AI agents who are looking to build agent-powered online commerce experiences, via their Stripe integration. They will have access to our entire suite of connected sellers, and can focus on the experience with the end-user. Enabling an AI agent to do this requires new API primitives, new dashboard surfaces, and deep thought about what financial and e-commerce complexity Stripe can simplify on their behalf.
Responsibilities.
- Build full stack solutions across Stripe's ecosystem, including back end services, dashboard interfaces, money movement systems, and integrations with other Stripe primitives
- Partner deeply with product management and design to ship high impact features that increase user autonomy and reduce friction.
- Strong analytical skills: comfort diving into data to test hypotheses and make informed trade-offs. Comfortable setting success metrics for the team to ensure that our solutions are enterprise grade out of the box and can meet Stripe’s reliability SLOs quickly.
- Collaborate cross-functionally across Stripe’s broader platform and product teams to integrate agentic commerce capabilities seamlessly.
- Engage directly with users (particularly large enterprises) to understand their business needs and translate requirements into novel product shapes.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 10+ years of engineering experience with a computer science background with hands on development expertise
- Proven experience coaching and developing senior and staff level individual contributors
- Demonstrated experience of leading initiatives that touch large engineering organizations, spanning multiple teams to influence tech roadmap planning and execution
- Strong written and verbal communication skills, structuring ambiguous concepts clearly and from first principles
- Thrive in a collaborative environment involving different functions, stakeholders, and subject matter experts
- Deep empathy for users balancing autonomy and guidance in digital commerce experiences.
Preferred qualifications
- 5+ years of engineering management experience
- Experience building APIs or new integration experiences for users, several of them being enterprise grade
- You’ve been on the found team of a business / startup, taking a product from 0-1
- Experience in eCommerce
- AI-native and very comfortable autonomously solving problems with agentic AI tools