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

Build outbound enterprise pipeline across multiple account executive territories. Identify high-value accounts and transformation signals, engage senior technology and business executives, source qualified opportunities, and maintain clean AE handoffs. The role also involves creating the outbound infrastructure, including sequencing, cadences, objection handling, account planning, and prospecting playbooks.

Own the full enterprise sales cycle for high-value AI transformation deals, from territory creation and outbound prospecting through executive engagement, negotiation, and close. Build relationships with Fortune 2000 leaders, develop ROI-driven business cases, navigate complex buying committees, manage MEDDPICC-based pipeline forecasting, and partner with Solutions Consultants and Customer Success on proof-of-value engagements. The role is based in San Francisco and requires substantial customer travel.

Own AI product areas end to end, from customer discovery and problem definition through prototyping, PRD development, engineering collaboration, launch, and measurement. Build AI-native product experiences, account for probabilistic model behavior and failure modes, establish feedback loops, conduct customer interviews, and drive technically complex generative AI features to measurable outcomes.

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 opportunities. The role combines high-level partnership strategy with hands-on execution, including joint solution development, deal support, account success criteria, and internal coordination. It is remote within the US with 40–50% travel.

Own full-cycle recruiting for priority engineering and technical roles while building Within’s recruiting foundation from scratch. Responsibilities include outbound sourcing, candidate screening and closing, interview and evaluation design, hiring-manager partnership, talent calibration, and development of AI-native recruiting workflows. The role requires a hands-on builder who can operate independently in a high-intensity, in-person San Francisco environment and improve recruiting efficiency through practical AI use.

Build and own polished AI-native frontend experiences using React, Next.js, TypeScript, and Tailwind CSS. Architect scalable component systems, state management, API integrations, and performance optimizations. Partner with product and backend teams to turn AI capabilities into intuitive workflows, rapidly prototype with AI tools, and ship user-facing features from concept through production. The role combines strong frontend engineering with exceptional design sensibility and product thinking.

Build and ship production frontend features for AI-native enterprise workflows. Integrate backend APIs, develop reusable UI components, collaborate with designers and engineers, and improve performance, state management, and user experience. The role offers mentorship while developing advanced React skills, AI-powered interfaces, and scalable frontend architecture.

Own the operating system for the product organization, including cross-pod prioritization, resource allocation, AI-native product operations, metrics, dashboards, and product signal flows. Connect engineering, GTM, value delivery, leadership, and customers through release communications, enablement, documentation, and usage insights. Build agentic systems that improve organizational coordination and decision-making.

Build and lead development of backend services and applied AI systems powering multimodal enterprise agents. Responsibilities include data ingestion, APIs, storage, background processing, deployment architecture, AI orchestration, evaluation frameworks, security, tenant isolation, auditability, scalability, and cross-functional product collaboration. The role sets technical direction, ships production AI features, improves reliability, and mentors engineers.

Build backend services and applied AI systems powering multimodal enterprise agents. Responsibilities include data ingestion and storage, API design, background processing, deployment architecture, AI orchestration, evals, guardrails, state management, grounding, enterprise security, tenant isolation, auditability, and scalable infrastructure. The role involves shipping production features end to end while collaborating across engineering, product, design, AI, and infrastructure teams.