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

Design and operate scalable systems for coding evaluation, data generation, code execution, benchmarking, and agentic development workflows. Build tools that analyze and improve AI-generated code, establish architecture and reliability standards, lead projects from conception through launch, and mentor engineers. Collaborate with engineering, research, operations, and customer-facing teams while developing reusable frameworks, automation, and developer tooling for AI initiatives.

Own and build Handshake’s internal communications function across Careers and Handshake AI. Responsibilities include developing communications strategy and operating rhythms, advising executives, running company-wide All Hands, partnering with People on employee communications and culture programs, managing internal channels and tools, translating technical work into accessible narratives, connecting internal and external messaging, and measuring employee understanding.

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.

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.

Own commercial strategy and revenue retention for 75–130 SMB and mid-market SaaS customers. Manage renewals, negotiations, expansion opportunities, forecasting, pipeline hygiene, account risk, and strategic customer relationships. Partner cross-functionally with Customer Success, Sales, RevOps, Product, Support, Finance, and Legal to improve retention, grow accounts, and communicate customer insights.

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.

Design the foundational experience for an AI-native recruiting product. Own product design end to end, including user flows, prototypes, high-fidelity designs, interaction patterns, and post-launch iteration. Partner with product, engineering, data, and adjacent design teams to simplify complex B2B workflows and shape how users interact with conversational AI, agents, and structured tools. Drive strong visual and interaction design while navigating ambiguity, rapid change, and early-stage product development.

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.

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.