Posted May 3, 2026
Own and ship end-to-end technical solutions directly for Handshake AI's highest-priority customer engagements. - Design and build integrations, tooling, APIs, and workflows in close collaboration with partner technical teams, researchers, and operators. - Serve as the primary technical point of contact for key accounts — understanding their systems deeply and delivering solutions that work in production. - Write production-quality code and architect systems that are reliable, observable, secure, and maintainable. - Manage and develop a small team of 3–5 Forward Deployed Engineers — set expectations, unblock, and grow them. - Own technical quality across the team's engagements — review work, raise the bar, and ensure strong engineering fundamentals. - Help prioritize and triage across competing requests; flag capacity and scope issues early. - Identify patterns across customer engagements and build the reusable components that scale the team's output. # Must haves
6+ years of software engineering experience, with meaningful depth in backend, fullstack, or systems work. - 2+ years in a customer-facing or field engineering role (e.g., forward deployed, solutions engineering, field engineering, customer-embedded product development). - 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
Ability to translate technical tradeoffs into business decisions; comfortable presenting options and recommendations to both technical and non-technical partners. - Strong stakeholder management skills; builds trust quickly with external partners and communicates clearly under pressure. - Strong instincts on triage and prioritization across multiple concurrent engagements. # Nice to haves
Experience with AI/ML product integrations or production reliability in AI systems. - Familiarity with distributed systems and backend architecture at scale. - Experience building reusable platforms or internal tooling from bespoke customer solutions. - Background working with operations-heavy or research-adjacent organizations.
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