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:

We are looking for a Senior Data Analyst to support the Finance and Central Operations organization and help build the data infrastructure, reporting, and analytics that power financial and operational decision-making.

This role combines analytics, data engineering, and applied data science, with a strong focus on translating complex operational data into reliable financial insights. While reporting within the Finance team, this role will also partner closely with the Payment Operations team, helping improve the data, controls, and automation behind high-volume payment processes.

This role requires close collaboration with our San Francisco–based team and availability during core U.S. business hours.

 

Desired Capabilities:

• 3–6+ years of experience in data analytics, analytics engineering, data engineering, financial analytics, or a related field.

• Build and maintain scalable Finance and Operations dashboards and reporting across revenue, project expenses, margins, cash flows, payments, and other key financial and operational metrics.