Handshake

Handshake

Forward Deployed Engineer I, Handshake AI

San Francisco, CA · Full-time

Sponsorship not specifiedDetected 8 hours ago
TypeScriptReactFull-Stack DevelopmentCode ReviewPostgreSQLAWSGCPCloud PlatformsLLMsDesign SystemsCommunication

About the role

  • As a Forward Deployed Engineer, you'll work at the intersection of our engineering organization and our most strategic customers, including leading AI labs.
  • You'll operate across the stack in ambiguous, fast-changing environments, working closely with senior engineers to shape how we approach our most critical partnerships.

Responsibilities

  • Partner with AI labs and cross-functional stakeholders to understand technical challenges, help translate requirements into actionable engineering plans, and contribute to alignment across teams.
  • Build and iterate on tailored, production-grade solutions for complex customer needs, often with guidance from senior engineers and minimal existing playbooks.
  • Contribute to architectural discussions around reliability, scalability, and security, and help implement repeatable deployment patterns.
  • Eagerness to learn from and collaborate with senior engineers, with growing interest in raising the bar on engineering practices.

Requirements

  • Some experience with performance optimization of full-stack applications.
  • Interest in or early experience with forward-deployed, solutions engineering, technical consulting, or customer facing work.

Nice to have

  • Participate actively in code reviews and contribute to best practices for forward-deployed work.
  • 1-4 years of professional software engineering experience, ideally including some exposure to customer-facing, solutions-oriented, or forward-deployed work.
  • Strong proficiency with ReactJS and TypeScript, with a solid bar for code quality, usability, and accessibility.
  • Some experience with cloud infrastructure (AWS, GCP), deployment pipelines, and production operations.
  • Demonstrated ability to contribute to technical projects in ambiguous environments with shifting requirements.
  • Exposure to architecting or delivering systems for LLMs or other AI-powered products in customer-facing environments.

Skills

  • Rapidly prototype, test, and iterate on tools in response to real-time feedback, balancing speed of delivery with long-term maintainability.

Compensation

  • 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching

Benefits

  • Handshake delivers benefits that help you feel supported-and thrive at work and in life.
  • The below benefits are for full-time US employees.
  • 🎯 Ownership: Equity in a fast-growing company
  • 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching
  • 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching
  • 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
  • 📚 Growth: $2,000 learning stipend, ongoing development
  • 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days
  • Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers.
  • Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions
  • Build a massive, fast-growing business with billions in revenue
  • 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office

Company info

  • 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.
  • Team outings & referral bonuses

This listing is sourced directly from Handshake's careers page and normalized into a canonical job model.