Technical Lead Manager, AI

About Handshake

Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.

In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.

Why join Handshake now:

• Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel

• Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions

• Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders

• Build a massive, fast-growing business with billions in revenue

About Handshake AI

Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.

Handshake AI is at the frontier of applied AI — working with world-class labs and partners on genuinely hard problems around human data, evals, and AI systems. The engineering team here ships production solutions that matter: reliable, observable, and built to scale.

As a Tech Lead Manager, you're first and foremost a builder. You'll set technical direction for a small team of engineers while staying deeply hands‑on — writing production code, architecting systems, and driving work forward. This is a player‑coach role, ideal for a senior engineer ready to take on their first or second management scope without leaving the craft behind.

The best person for this role leads by example, builds trust through technical credibility, and creates structure without bureaucracy.

Location: San Francisco, CA | 5 days/week in‑office

What you'll do

• Write production‑quality code and architect systems that are reliable, observable, secure, and maintainable.

• Set technical direction for a small team — define the approach, unblock engineers, and raise the bar on quality.

• Manage and develop a team of 3–5 engineers: set expectations, have real feedback conversations, and help people grow.

• Own end‑to‑end delivery across multiple concurrent work streams — triage, prioritize, and flag scope or capacity issues early.

• Design and build integrations, tooling, APIs, and internal systems in close collaboration with research, product, and operations teams.

• Identify patterns across work streams and build reusable components that scale the team's output.

• Communicate clearly with technical and non‑technical stakeholders alike — translate tradeoffs into decisions and keep the right people informed.

Must haves

• 6+ years of software engineering experience, with meaningful depth in backend, fullstack, or systems work.

• Experience as a tech lead or TLM — setting technical direction for a team, not just owning your own work.

• 1–2 years managing a small team of engineers (3–6); comfortable with feedback, growth conversations, and performance.

• Must be someone who codes regularly and wants to keep coding — this is not a transition‑to‑management role.

• Experience working closely with non-engineering stakeholders (research, product, operations, or similar) — comfortable translating between technical and business context.

• Strong communication skills: clear under pressure, able to present options and recommendations to varied audiences.

• Sharp instincts on triage and prioritization across multiple concurrent work streams.

Nice to haves

• Experience with AI/ML systems or production reliability in AI‑adjacent environments.

• Familiarity with distributed systems and backend architecture at scale.

• Experience building reusable platforms or internal…