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

Own the full enterprise sales cycle for Within’s AI platform, from territory building and outbound prospecting through executive engagement, business-case development, negotiation, and close. Sell to Fortune 2000 organizations and complex financial-services accounts, navigating multi-stakeholder buying committees across business, IT, procurement, legal, and compliance. Partner with Solutions Consultants and Customer Success on proof-of-value engagements, manage pipeline and forecasting, and travel extensively for customer meetings and deal opportunities.

Own Within’s strategic alliances with Big Four and management consulting firms. Build executive relationships, drive partner-sourced revenue, develop scalable enablement, structure sell-to, sell-through, and white-label economics, and lead co-selling enterprise deals. The role also includes defining portfolio strategy, co-developing industry solutions, navigating consulting-work displacement concerns, and coordinating internal stakeholders. This is a remote US role requiring significant travel to partner leadership and deal meetings.

Own full-cycle recruiting for engineering and technical roles while building Within’s recruiting foundation from the ground up. Responsibilities include sourcing exceptional talent, designing interview and evaluation processes, partnering with founders and hiring managers, closing candidates, and developing AI-enabled workflows for sourcing, screening, and recruiting operations.

Build Within’s product marketing function by developing positioning, messaging, go-to-market strategies, launch programs, sales enablement, and thought leadership content. Research markets, customers, personas, competitors, and partners while collaborating with leadership, sales, product, field, and growth teams to drive pipeline, adoption, and credibility. The role requires hands-on execution, strong communication, business judgment, and effective use of generative AI tools.

Lead complex product design initiatives from discovery through launch for an AI-native enterprise platform. Own product areas, systems vision, AI-native UX patterns, research, analytics-driven outcomes, and design-system strategy. Collaborate closely with engineering to prototype and ship working experiences, establish design-and-code practices, and mentor other designers. The role emphasizes exceptional craft, systems thinking, high agency, ambiguity management, and enterprise software experience.

Own AI product areas from discovery through launch, defining problems, writing PRDs, building prototypes, conducting customer research, partnering with engineering and design, and establishing success metrics. The role requires translating complex generative AI capabilities into useful enterprise workflow experiences, accounting for probabilistic behavior and model failure modes, and shipping technically complex products with measurable outcomes.

Build and ship AI-native frontend experiences using React, Next.js, TypeScript, and Tailwind. Architect scalable frontend systems, reusable components, state management, API integrations, and performance optimizations. Own user-facing features end to end, bridge AI capabilities with intuitive interfaces, and collaborate across product, design, and backend engineering. Rapidly prototype with AI tools while maintaining high standards for accessibility, visual polish, responsiveness, and production quality.

Own the connective layer across product pods, engineering, GTM, Value Delivery, and customers. Build AI-native operating systems, agentic workflows, prioritization frameworks, metrics dashboards, instrumentation, and communication loops. Allocate resources, monitor customer usage and engineering productivity, translate field input into product priorities, support launches and enablement, and provide leadership with visibility into product progress. The role requires staff-level product leadership in B2B SaaS or AI platforms, strong systems thinking, data fluency, and cross-functional influence.

Design and ship backend services powering multimodal AI agents, including data ingestion, APIs, storage, background processing, orchestration, evaluation frameworks, and deployment architecture. Build reliable AI workflows with structured outputs, tool calling, state management, grounding, and guardrails. Own enterprise security, tenant isolation, auditability, scalability, and technical direction while partnering cross-functionally and mentoring engineers.

Build and deploy backend services powering multimodal AI agents, including data ingestion, storage, APIs, background processing, orchestration pipelines, and deployment architecture. Develop reliable AI workflows with evals, guardrails, structured outputs, tool calling, state management, and grounding. Design secure, observable, scalable systems with tenant isolation and auditability. Partner across engineering, product, design, AI, and infrastructure to ship enterprise-grade features quickly.