Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Own full-stack engineering initiatives for Handshake’s employer platform, building AI-powered sourcing, automated outreach, recruiting agents, monetization, and growth experiences. Lead products from concept through launch and iteration, architect scalable distributed systems, run A/B tests, collaborate with product, design, and data, and improve hiring outcomes. Mentor engineers and maintain high-quality production systems while applying strong product judgment in a fast-paced environment.

Designs and manages revenue enablement programs for Account Executives, Account Managers, and Customer Success Managers. Responsibilities include onboarding, certifications, role-play training, playbooks, battlecards, talk tracks, coaching, enablement tooling, and performance analysis. Partners with Sales, Marketing, Customer Success, and Revenue Operations to improve ramp time, win rates, retention, quota attainment, and revenue outcomes.

Build and scale full-stack systems for AI annotation operations, including project management, workflow, quality-control, auditing, and operator tooling. Lead complex projects from concept through production, improve reliability and observability, partner cross-functionally, and mentor engineers. Develop performant features using Python, Node.js, TypeScript, React, PostgreSQL, and backend APIs in a high-velocity environment.

Lead the technical direction and production operations of Handshake’s data platform, including Airflow orchestration, ingestion, batch and streaming pipelines, BigQuery, Kubernetes, and cloud infrastructure. Build reliable workflow development and deployment paths, improve data resilience and observability, establish data contracts, support AI workloads, troubleshoot incidents, and mentor engineers across application, analytics, ML, and cloud teams.

Manage a portfolio of enterprise employer accounts, driving renewals, upsells, cross-sells, retention, and expansion. Build executive relationships, demonstrate product value through data-driven business reviews, support customer adoption with Customer Success partners, and serve as an escalation point. The role also involves forecasting, account planning, customer engagement, and developing scalable account management processes. This is an onsite position in San Francisco or New York with travel as needed.

Own end-to-end product marketing for Handshake AI's frontier lab business: create positioning, translate research to market content, enable sales with playbooks and assets, shape GTM strategy, and drive event and field marketing.

Own end-to-end product design for Handshake AI’s central tasking platform. Partner with product, engineering, research, data, quality, and operations teams to develop strategic visions, conduct user research, identify workflow pain points, and deliver scalable solutions. Create user journeys, wireframes, prototypes, and high-fidelity designs while iterating quickly. Mentor designers, strengthen design culture, and apply systems thinking, product reasoning, facilitation, and precise execution to complex human-centered problems.

Build and operate backend services, APIs, shared platform capabilities, and developer tooling for Handshake AI and internal AI initiatives. Responsibilities include service architecture, database design, performance, scalability, reliability, observability, and developer experience. The role contributes to LLM and agentic systems, including orchestration, evaluation, integrations, and failure handling. It also involves architectural decisions, incident response, cross-team collaboration, technical planning, code reviews, and mentoring engineers.

Build and deploy production-grade AI agents within enterprise customer environments. Own solution definition, full-stack implementation, deployment, evaluation, and iterative performance improvement. Develop deep customer domain expertise, establish reusable engineering frameworks, collaborate with Product and Platform teams, and translate deployment insights into platform and product improvements.

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.