Jobs at Handshake

Own corporate finance and FP&A: build and maintain three-statement and operating models, lead long-range planning, forecast cycles, cash flow modeling, investor/board reporting, and partner with cross-functional leaders to drive financial targets and business reviews.

Partner with R&D and COGS leaders to own forecasting, COGS classification, and cost allocation between Careers and Handshake AI. Build traceable financial models, improve forecast accuracy, inform executive investment decisions, and establish scalable financial controls and reporting.

Lead and scale growth initiatives end-to-end for Handshake AI products. Design growth systems, optimize acquisition-to-activation funnels, run data-driven experiments, synthesize product and market insights, and build a high-performing growth team while partnering with Product, Engineering, and GTM leaders to define metrics and strategic priorities.

The Strategic Projects Lead will manage and drive AI-related projects, optimize talent deployment, improve internal processes, and enhance customer relationships in a fast-growing environment.

Lead and grow a team building reinforcement learning sandbox environments that simulate real-world professional domains. Define technical direction, partner with research and product, drive platform architecture for reliability and scalability, establish engineering best practices, and mentor senior engineers and future leaders to deliver high-quality data for model training.

Source, pitch, negotiate, and close enterprise data partnerships that supply proprietary datasets to frontier AI labs. Manage end-to-end deals, translate technical data requirements, structure commercial and compliance terms, maintain C-suite relationships, and partner with engineering and legal to deliver compliant, recurring licensed data.

Lead growth strategy to recruit, engage, and retain an AI research expert community through multi-channel campaigns, CRM-driven lifecycle marketing, analytics, partnerships, and SEO optimization.

The Staff Forward Deployed Engineer will define technical strategies, oversee deployments for strategic clients, and mentor engineers while enhancing engineering practices.

The Senior Forward Deployed Engineer will lead deployment solutions, mentor other engineers, and enhance customer engagement through technical leadership and innovative problem-solving.

Source, pitch, negotiate, and close enterprise data licensing partnerships for Handshake AI. Translate research requirements into partner profiles, structure commercial and privacy-compliant terms, manage C-suite relationships through long sales cycles, and coordinate with engineering and data teams to deliver signed datasets. Forecast and report pipeline and closed deals.

Manage strategic projects and recruiting campaigns to drive employer adoption, retention, and expansion. Provide data-driven insights, custom reporting, training, and product expertise to help employer partners attract and hire entry-level talent while collaborating cross-functionally to improve platform experience.

The Engagement Management Lead will drive customer relationships by managing the full engagement lifecycle, ensuring successful implementation, and translating customer needs into actionable programs.

Lead and scale growth initiatives at Handshake, focusing on revenue and product adoption by optimizing growth funnels and leveraging data-driven insights.

Manage a team of Strategic Project Leads in delivering high-stakes AI data projects while ensuring operational excellence and performance metrics.

As a Machine Learning Engineer I, you will develop and deploy machine learning systems for core relevance signals, collaborating with engineers and product teams.

As a Software Engineer, you'll enhance AI applications for enterprise customers, develop full-stack solutions, and collaborate closely on product quality and user experience.

The Senior Applied AI Engineer will develop AI-driven solutions for enterprise customers, embedding directly with them, owning full stack AI delivery, and iterating on performance. Responsibilities include defining solutions, building production-grade agents, conducting evaluations, and establishing best practices.

As an Applied AI Engineer, you'll develop production-grade AI agents within enterprise environments, collaborating closely with customers and internal teams to enhance workflows and performance.

The Senior Product Manager will lead the development of platforms for creating RL environments efficiently, collaborating across teams to improve workflows and quality. Responsibilities include defining product roadmaps, enhancing operator tooling, and measuring success metrics.

Lead the architecture of the Reinforcement Learning Environments platform, collaborating with cross-functional teams, mentoring engineers, and optimizing scalable systems.