Senior Forward Deployed Engineer at Handshake

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Aug, 26

Salary

250000.0

Posted On

16 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ReactJS, TypeScript, PostgreSQL, System Design, AWS, GCP, Data Modeling, Cloud Infrastructure, Stakeholder Management, Technical Leadership, Software Architecture, Production Operations, Prototyping, Mentoring, LLM Implementation, Full-stack Development

Industry

Software Development

Description

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. About the Role As a Senior Forward Deployed Engineer, you'll serve as a technical leader at the intersection of our engineering organization and our most strategic customers, including leading AI labs. You'll own the end-to-end lifecycle of high-impact deployments—from scoping complex technical requirements to architecting, building, and scaling solutions that directly improve customer workflows and model performance. You'll operate across the stack in highly ambiguous, fast-changing environments, and your judgment will shape how we approach our most critical partnerships. This is a unique opportunity to combine deep technical leadership with direct customer engagement—driving not just the "what" and the "how," but setting the standard for how Handshake delivers at the highest level. Location: San Francisco, CA | 5 days/week in-office Partner with AI labs and cross-functional stakeholders to deeply understand technical challenges, translate ambiguous requirements into actionable engineering plans, and drive alignment across teams. Own the design, architecture, and delivery of tailored, production-grade solutions for complex, high-impact customer needs—often with minimal precedent or existing playbooks. Mentor and uplevel other engineers through code reviews, architectural guidance, and establishing best practices for forward-deployed work. Make key architectural decisions around reliability, scalability, and security, and set the technical direction for repeatable deployment patterns. Rapidly prototype, test, and iterate on tools in response to real-time feedback, balancing speed of delivery with long-term maintainability. Create and maintain technical playbooks, documentation, and frameworks that enable the team to scale deployments efficiently. Desired Capabilities 5+ years of professional software engineering experience, with meaningful time spent in customer-facing, solutions-oriented, or forward-deployed roles. Strong proficiency with ReactJS and TypeScript, with a high bar for code quality, usability, and accessibility. Deep understanding of relational databases (e.g., PostgreSQL), data modeling, and system design. Experience with cloud infrastructure (AWS, GCP), deployment pipelines, and production operations at scale. Demonstrated ability to lead technical projects end-to-end in ambiguous environments with shifting requirements. Excellent communication and stakeholder management skills, with the ability to build trust with both technical and non-technical audiences. Track record of mentoring engineers and raising the bar on engineering practices within a team. Extra Credit Experience architecting and delivering production systems for LLMs or other AI-powered products in real-world, customer-facing environments. Background in building or contributing to component libraries, design systems, or reusable deployment frameworks. Proven experience with performance optimization and scaling of full-stack applications under real-world constraints and high-traffic conditions. Prior experience in a forward-deployed, solutions engineering, or technical consulting role at a high-growth company. Perks 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 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.

Responsibilities

Lead the end-to-end lifecycle of high-impact technical deployments for strategic AI lab customers. Architect and build production-grade solutions while mentoring other engineers and establishing repeatable deployment patterns.