Staff Forward Deployed Engineer

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.

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.

As a Staff Forward Deployed Engineer, you'll define and drive the technical strategy for how Handshake delivers engineered solutions to our most strategic customers, including leading AI labs. You'll operate as a trusted technical partner to both customers and internal leadership—owning the vision for how forward-deployed engineering scales as a function, while remaining deeply hands-on in solving our hardest deployment challenges. Your work will directly shape product direction, influence platform architecture, and set the technical bar for the entire forward-deployed engineering team.

This is a unique opportunity to pair organization-wide technical influence with direct customer impact—establishing the playbook for how Handshake's most critical partnerships are built, delivered, and scaled.

• Define the technical strategy and architectural vision for forward-deployed engineering, ensuring solutions are scalable, repeatable, and aligned with Handshake's platform roadmap.

• Serve as the senior technical point of contact for our most complex and highest-value customer engagements, including leading AI labs, translating strategic business needs into engineering direction.

• Drive cross-functional alignment between forward-deployed engineering, product, platform, and customer-facing teams to ensure deployed solutions inform and improve the core product.

• Architect and deliver production-grade systems for novel, high-ambiguity customer challenges—setting the standard for quality, reliability, and performance.

• Establish engineering best practices, design patterns, and reusable frameworks that enable the forward-deployed team to scale output without sacrificing quality.

• Mentor and develop senior and mid-level engineers, fostering a culture of technical excellence, ownership, and customer empathy across the team.

• Identify systemic gaps in tooling, infrastructure, or process and lead initiatives to address them, reducing friction for future deployments.

• 8+ years of professional software engineering experience, with significant time in customer-facing, solutions-oriented, or forward-deployed roles at high-growth companies.

• Proven ability to set technical direction and drive architectural decisions that span multiple teams or systems.

• Expert-level proficiency with ReactJS and TypeScript, with deep knowledge of frontend performance, component architecture, and design systems.

• Strong command of relational databases (e.g., PostgreSQL), data modeling, system design, and distributed systems principles.

• Extensive experience with cloud infrastructure (AWS, GCP), CI/CD pipelines, and operating production systems at scale.

• Track record of leading ambiguous, high-stakes technical initiatives from zero-to-one with minimal direction.

• Exceptional communication skills with the ability to influence senior leadership, external partners, and cross-functional teams.

• Demonstrated impact in mentoring engineers, shaping team culture, and elevating engineering standards across an organization.

• Experience defining the technical strategy for LLM-powered or AI-native products deployed in production, customer-facing environments.

• Background in building and scaling forward-deployed, solutions engineering, or professional services engineering functions from the ground up.

• History of contributing to or driving platform/infrastructure decisions that improved developer velocity or deployment reliability across teams.

• Experience partnering directly with C-level or VP-level stakeholders at customer organizations to scope and deliver technical solutions.