Top Tech Jobs & Startup Jobs

Lead and build TA operations: own recruiting tech stack and ATS, design scalable processes, reporting, and SLAs, use data and AI to improve hiring speed and quality, manage stakeholder partnerships and vendor integrations, and ensure data integrity across recruiting systems.

The Senior/Staff Research Scientist will develop and implement AI techniques, prototype solutions, and collaborate with teams to apply research in real-world settings.

Recruit Product talent for a high-growth AI startup by developing sourcing strategies, building diverse pipelines, analyzing recruiting metrics, delivering excellent candidate experiences, partnering with hiring managers, monitoring market trends, managing interview processes, and supporting onboarding and immigration. The role requires strong startup recruiting expertise, Product talent market knowledge, stakeholder coaching skills, and proficiency with modern recruiting tools.

Build and operate platform infrastructure, backend services, agent infrastructure, event-driven data pipelines, governance systems, CI/CD frameworks, and observability tooling. The role includes designing distributed systems on AWS, enforcing RBAC and compliance controls, optimizing infrastructure costs, defining reliability standards, participating in on-call, and leading complex engineering initiatives across teams.

Senior Technical Recruiter responsible for developing engineering recruiting strategies, sourcing passive candidates, managing pipelines, delivering excellent candidate experiences, partnering with engineering hiring managers, analyzing recruiting metrics, monitoring talent markets, coordinating interviews, improving hiring processes, and supporting onboarding and immigration. The role requires extensive full-cycle startup recruiting experience focused on software, AI/ML, and infrastructure engineering.

Build and maintain end-to-end product features across React and TypeScript front ends, APIs, and supporting services. Collaborate with product, design, and engineering teams to simplify complex workflows, make architecture decisions, improve accessibility and performance, and troubleshoot production issues. The role requires strong product judgment, full-stack fluency, independent decision-making, and effective cross-functional communication. Work is hybrid, requiring at least three days weekly in San Francisco or New York City.

Lead operational clarity and alignment within the Delivery organization, drive cross-functional initiatives, and ensure execution of strategic OKRs. Manage planning cycles and address risks proactively while improving processes and systems for efficiency.

The Research Scientist will design frontier benchmarks and datasets, collaborate across teams, communicate findings, and represent Snorkel's research externally.

Lead the Forward Deployed Engineering team to build and deliver high-quality datasets for AI initiatives, ensuring exceptional data delivery and process improvements through ML techniques.

Lead and scale Snorkel's corporate legal function: manage financings, M&A, governance, equity administration, entity formation, international expansion, outside counsel, and build scalable legal processes and playbooks.