Hiring: Strategic Projects Lead, Coding/RLE Company: Handshake Location: San Francisco, CA Job Posted Time: 2026-09-03 14:44:11 Employment Type: Full-time / Remote Target Skills & Keywords : Java, LLM, Node.js, Python, SQL, Stakeholder Management, TypeScript About the job Experience: •2+ years of experience in technical or analytical roles such as software engineering, data, analytics, or technical product. We are also open to people who come out of non technical jobs that have a coding background or degree. Required Skills: •As a Strategic Projects Lead, Coding/RLE you’ll run multi-week to multi-month coding data initiatives for leading AI and platform teams. You’ll coordinate hundreds to thousands of highly skilled SWE Fellows, design and own technical evaluation and annotation workflows, and be accountable for delivery, margins, quality and customer relationships. •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. Qualifications: •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. •You don’t need to be a full-time engineer in this role, but you should be technical enough to reason deeply about systems, data quality, and tradeoffs •, and to earn credibility with technical stakeholders. Compensation: •$172,000 - $204,000 / year •Flexible work environment (work from home / hybrid options) •Equity in a fast-growing company Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!