San Francisco, CA30+ days ago
We are also open to people who come out of non technical jobs that have a coding background or degree • A technical degree in Computer Science, Engineering, Data Science, or similar and/or hands-on experience with coding (Python, SQL, or similar) • Strong coding skills (Python, TypeScript/Node, Java or equivalent) and practical experience with unit tests, CI, version control, and basic infra • Strong analytical and data driven problem solver, with a first principles approach to scaling and operational challenges • Exceptional communication and stakeholder management skills, able to work closely with technical teams and customers while juggling multiple high priority projects • Entrepreneurial, high ownership mindset, with a high degree of agency, comfort with ambiguity, and pride in end to end outcomes • Fast learner with deep curiosity about AI, able to quickly pick up complex and technical concepts and stay up to date on LLMs and AI trends. What you'll do: • Multi-million ARR-equivalent program scope and delivery metrics • End-to-end delivery of coding-data programs: scoping assessment design Fellow selection annotation QA customer feedback • Design and run technical screens (take-homes, unit-test driven tasks, live coding) that populate the SWE Talent Bench • Create rubrics, audit processes and tooling to ensure code annotations/model labels meet production quality • Create scripts/infrastructure (Python/TypeScript/SQL) to automate QA, analytics and reporting.