GTM Engineer
Handshake
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
- Mine the prospect base for signals and feed the pipeline: Be our Clay power user. Build enrichment waterfalls and signal-detection workflows (job changes, hiring, funding, tech-stack, and product-usage triggers) that continuously mine our prospect and account base, then score, prioritize, and route the highest-fit qualified leads straight to our account executives.
- Build AI-powered workflows and agents: Design, build, and maintain AI-driven workflows and agents using a mix of workflow tools (Salesforce Flows, Workato) and code (e.g., Python, SQL).
- Turn fuzzy problems into shipped systems: Translate ambiguous business problems and high-effort manual workflows into reliable AI-powered automation,
- Ship reliable, maintainable systems: Own your builds end-to-end. Develop the technical documentation, monitoring, and testing frameworks that keep GTM systems and AI workflows reliable, observable, and easy to adopt.
- Champion AI across GTM: Spread AI best practices across the go-to-market teams, pitch plays unprompted, and help the whole org operate more intelligently.
- 3-5 years in GTM Engineering, RevOps, Marketing Ops, Sales Systems Engineering, or Growth Engineering, building software-grade automation for a B2B SaaS GTM organization
- AI coding assistant fluency (Claude Code, Codex, or Cursor): you use one daily to scaffold, debug, and ship a working automation the same day you started it
- Advanced Clay (or an equivalent enrichment + orchestration platform): you know when to reach for Clay and when to build something custom in Claude Code
- SQL fluency: you can write and understand complex, multi-table queries, and you're comfortable in a warehouse layer (dbt, BigQuery)
- Hands-on experience inside Salesforce (data model, Flows, formula fields - Apex is a plus): you understand how leads and accounts actually move through the system, and why data quality degrades over time
- Ownership Mindset: you define scope with minimal direction and ship a good v1 in weeks over a perfect one that never ships.
- 5+ years total experience
- Production experience with LLM APIs (Claude, OpenAI): prompt design, eval loops, error handling, and the difference between a demo and something you'd trust in production
- Agent tooling and Model Context Protocol (MCP) experience (Claude Agent SDK, MCP servers, a shared library of skills/prompts/plugins)
- Project experience in AI/ML, advanced analytics
- Background in early careers or marketplace SaaS
Vacancy posted 3 days ago
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