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 @ 7
API @ 4
Communication @ 6
Data Science @ 4
Fraud @ 4
Machine Learning @ 4
Payments @ 4
System Architecture @ 7
- 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
The Risk team builds trust by helping millions of businesses access and use Stripe’s financial infrastructure while protecting users, financial partners, and the broader ecosystem from harm.
The team helps legitimate businesses access Stripe’s financial services, provides credit to creditworthy businesses, helps users manage their own risk, prevents fraud and financial crime, manages Stripe’s credit exposure, meets obligations to regulators and financial partners, and enables product teams to launch and grow products safely. The team develops policies, standards, advanced AI, infrastructure, and product experiences to manage risk across Stripe and its users.
Responsibilities
- Identify high-leverage problems that cut across teams, turn ambiguity into clear product and technical direction, and establish measurable outcomes.
- Lead major cross-Risk and cross-Stripe initiatives from initial shaping through delivery, adoption, and iteration.
- Lead changes in Risk’s approach to using data and AI to accurately identify and mitigate risk at scale.
- Partner deeply with engineering, data science, and machine learning leaders to shape architecture, data foundations, models, APIs, and product experiences.
- Help product teams across Stripe build on Risk’s capabilities quickly and effectively while guiding Risk teams toward coherent, reusable infrastructure and product decisions.
- Build alignment among teams with different goals and constraints, resolve difficult trade-offs, and drive progress without relying on formal authority.
- Operate as a product counterpart to Risk’s senior technical leaders.
- Shape infrastructure and product direction across Risk, connect fragmented work, and help product teams across Stripe build on Risk’s capabilities.
- Remain deeply engaged in difficult technical and product decisions from early technical shaping through delivery and adoption.
Requirements
- A track record of identifying and delivering high-impact, transformational product or technical initiatives spanning multiple teams and organizations.
- Demonstrated ability to bring clarity to deeply ambiguous problems, set compelling direction, and drive work through execution and adoption.
- Strong technical judgment across data, machine learning, AI, APIs, platforms, and system architecture.
- Experience partnering deeply with senior engineering, data science, and product leaders to shape technical direction and product strategy.
- Strong product judgment across foundational infrastructure and user-facing experiences, focused on building capabilities that solve real user problems.
- Deep quantitative fluency and the ability to use data and causal reasoning to understand problems, evaluate trade-offs, and measure outcomes.
- Proven ability to influence senior leaders, build alignment across organizational boundaries, and drive execution without direct management authority.
- Exceptional written and verbal communication skills, with the ability to articulate strategies, influence technical and executive audiences, and make complex topics clear.
- High agency, intellectual honesty, curiosity, and a low-ego, hands-on working style.
Preferred Qualifications
- An engineering background, preferably with a focus on machine learning.
- Experience applying AI and machine learning to complex, high-stakes problems at scale.
- Experience with fraud, credit, payments, financial services, trust and safety, or another domain involving complex decisions and asymmetric consequences.
- Experience working with globally distributed teams.