Jobs at Handshake

Lead product strategy, roadmap, execution, and organizational scaling for Handshake AI. Build and manage a product team across operator, fellow, platform, and data-modality pods; partner with Engineering, Design, Operations, Sales, and executives; prioritize investments; define success metrics; engage customers and AI labs; and scale the platform for new customers, data types, and volumes.

Leads Central Operations across marketplace allocations, trust and safety, payments, and contractor operations. The role establishes strategy, roadmaps, processes, metrics, and scalable operating systems; manages and develops a high-performing team; analyzes data; drives automation with Product and Engineering; and leads cross-functional initiatives in an ambiguous, rapidly growing environment.

Design, build, and deliver production-grade software solutions for complex customer needs. Identify and solve emerging technical problems, develop reusable infrastructure, make architectural decisions for reliability and scalability, manage engineering tradeoffs, and mentor other engineers. The role partners closely with customers and internal stakeholders in an ambiguous, high-ownership environment.

Own full-cycle recruiting for business, operations, and technical roles in Bangalore. Partner with hiring managers, build local recruiting processes and pipelines, manage evening/overnight interview logistics, and deliver strong candidate experience while scaling the India office.

Lead commercial legal strategy for Handshake AI and Enterprise, managing high-value AI data, training, enterprise services, and strategic partnership transactions. Advise on data rights, IP, privacy, security, licensing, and risk allocation; negotiate with AI labs and enterprise customers; partner with Sales, Product, Partnerships, and Operations; and build scalable contracting processes, playbooks, approval frameworks, and the commercial legal team.

Lead full-cycle recruiting for strategic business and operations roles at Handshake AI. Partner with executives and hiring managers on org design, headcount planning, sourcing strategy, and hiring decisions. Build pipelines for difficult roles, provide market intelligence, optimize recruiting processes using data and metrics, and deliver an exceptional candidate experience. The role is based five days per week in the Seattle office.

Build backend infrastructure for evaluating and improving data quality delivered to AI labs. Develop real-time quality checks, data pipelines, measurement systems, recommendation capabilities, APIs, and AI-native platform interfaces. Collaborate with engineering, research, product, and operations teams to solve ambiguous quality problems while improving workflow reliability, efficiency, and cost-effectiveness.

Leads the design and development of consumer-facing products connecting students and employers. Architects scalable distributed systems, influences technical direction across teams, mentors engineers, and champions engineering best practices. The role requires building high-availability systems for millions of users, collaborating cross-functionally, and delivering maintainable production software. Experience with search, recommendations, personalization, identity graphs, or AI-powered applications is advantageous.

Support Finance and Central Operations by building dashboards, reporting, automated data pipelines, reconciliations, controls, and analytics. Analyze revenue, expenses, margins, cash flows, payment volumes, disputes, exceptions, and processing performance. Partner with Finance and Payment Operations to investigate discrepancies, automate workflows, improve data quality, and translate business questions into reliable models and actionable insights.

Owns the growth roadmap for AI-driven products, leading initiatives from strategy through execution to improve revenue, adoption, acquisition, and activation. Designs data-driven experiments, analyzes product and operational metrics, defines success measures with leadership, and builds scalable growth systems and playbooks. Requires cross-functional collaboration with Product, Engineering, Operations, and GTM teams, strong autonomy, and availability during U.S. business hours.

Evaluate AI models for dangerous CBRNE-related outputs, designing adversarial prompts, multi-turn attack chains, and threat models. Assess technical accuracy and real-world risk, distinguish open-source information from harmful uplift, score responses using severity rubrics, and document failures. Collaborate with AI researchers and policy teams to improve model safeguards and evaluation frameworks while following strict ethical and operational security protocols.

Staff Product Designer owning end-to-end student career experiences across job discovery, matching, resume building, interview preparation, and career planning. Designs trustworthy AI-agent interactions, user flows, prototypes, and high-fidelity experiences while partnering with product, engineering, AI, data science, and content teams. Uses qualitative and quantitative insights to validate designs, improve outcomes, and establish scalable design systems and practices.

Design and improve Handshake’s end-to-end jobs experience, including search, discovery, job details, applications, post-application status, and the Home experience. Partner with product, engineering, data science, and content teams to translate research and behavioral data into polished designs. Create wireframes, prototypes, and experiments; optimize matching quality and application completion; and deliver trustworthy, user-friendly experiences for students.

Manage and coach three Mid-Market Customer Success Managers while leading a scalable, tech-touch digital Customer Success strategy. Build programs spanning onboarding, adoption, engagement, and risk mitigation; use customer and product data for segmentation; design AI-enabled workflows; establish operating rhythms and performance standards; measure customer health, retention, adoption, and team outcomes; and collaborate cross-functionally to improve customer experience.

Evaluate AI model requests and responses involving violence, threats, weapons, and dark fiction. Distinguish fictional or defensive content from real-world harmful intent, write concise policy-based rationales, create adversarial prompts, identify policy gaps, and participate in calibration discussions. The role requires careful, consistent judgment while regularly engaging with graphic and distressing material.

Build and deploy production-grade AI agents within enterprise customer environments. Define solutions around business workflows, design and run evaluations, improve agent performance, and own end-to-end delivery. Collaborate with Product and Platform Engineering, establish reusable agent frameworks and engineering practices, develop customer domain expertise, and surface deployment insights for product strategy. The role requires strong backend-focused full-stack engineering, production AI experience, systems thinking, communication, and comfort working with senior enterprise stakeholders.

Build and evolve Handshake’s frontend platform, including reusable TypeScript and React components, design systems, accessibility capabilities, developer tooling, CI/CD infrastructure, and AI-enabled workflows. Partner across engineering, design, and product to establish scalable standards, lead technical initiatives, improve developer experience, and drive adoption of shared frontend solutions.

Conduct high-volume outbound sales to identify companies with licensable proprietary data. Engage owners, founders, CTOs, and data leaders; perform detailed discovery; address trust, security, and competitive concerns; scope and negotiate data licensing deals; coordinate legal and security reviews; close contracts; maintain pipeline discipline; meet activity targets; and help develop the sales playbook for a new zero-to-one business.

Conduct high-volume outbound sales through calls, email, and LinkedIn to identify companies with licensable proprietary data. Engage owners, founders, CTOs, and data leaders; lead thorough discovery; address security and trust concerns; scope deals; coordinate legal and security reviews; negotiate terms; and close agreements. Maintain pipeline discipline, meet activity targets, and help develop the sales playbook in a fast-moving, ambiguous AI data business.

Conduct high-volume outbound prospecting to identify companies willing to license proprietary data for AI training. Engage owners, founders, CTOs, and data leaders; perform thorough discovery; address security and trust concerns; scope and negotiate data licensing deals; coordinate legal and security reviews; close contracts and ensure payment. Maintain pipeline and activity targets while helping develop the sales playbook in a fast-moving, ambiguous environment.