Engineering Manager, Checkout Optimization
Leads a team of product and data engineers responsible for checkout optimization, experimentation, and supporting data platforms. Requires substantial engineering management and software development experience, strong backend expertise, and experience scaling product or growth teams.
About the job
Responsibilities
- Lead and manage a team of full-stack product and data engineers through mentorship, guidance, and support.
- Understand buyer and agent needs to prioritize workstreams and deliver high-quality checkout experiences.
- Partner with Product, Design, Data Science, Data Engineering, and engineering teams across Stripe.
- Lead experimentation and optimization initiatives to improve checkout conversion and buyer experiences.
- Build and evolve the data platform supporting self-service analysis, experimentation, and product decisions.
- Maintain high standards for the quality, reliability, and usability of data products and pipelines.
- Recruit engineering talent and build a diverse, high-performing team.
- Oversee projects across the full development lifecycle, from planning through delivery.
- Provide hands-on technical leadership across architecture, design, vision, requirements, and incident response.
- Set team direction through vision, goals, OKRs, and roadmaps.
Requirements
- 5+ years of engineering management experience, including directly managing and growing teams of 5+ engineers building and shipping products at scale.
- 10+ years of full-time software development experience, with a strong background in backend development.
- Experience working across geographies.
- Experience leading growth or product teams using experimentation to improve product usage and other metrics.
- Experience building extensible software solutions that scale to varied user needs and advocating for excellent user experiences.
Nice-to-haves
- Experience working in payments and payments technology.
- Experience leading a growth team.
- Experience leading a data engineering team.
Skills
Backend Development, Full-Stack Development, Data Engineering, Experimentation, Data Platforms, Data Pipelines, Product Optimization, Architecture, Incident Response, Okrs, Roadmapping, Payments Technology
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