Top Tech Jobs & Startup Jobs

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.

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.

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.

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.