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

Own the architecture and technical direction of large-scale distributed systems or agent-centric AI products. Lead complex technical decisions, establish engineering standards, partner with executive leadership, and guide high-priority initiatives. Build and operate production systems serving over 100,000 users while using AI-assisted development tools. The role requires extensive backend or full-stack engineering experience and offers Staff or Principal-level scope.

Own and scale the revenue engine for an early-stage AI company. Carry a personal quota while managing Account Executives and SDRs, building the go-to-market motion, defining the ICP, forecasting, reviewing pipelines, coaching deals, leading technical sales cycles, closing strategic mid-market and enterprise accounts, and hiring and developing the commercial team.

Build the core AI platform for an enterprise workspace that turns organizational data into memory, proactive agents, and customer workflows. Own reusable primitives such as triggers, tools, approvals, memory, observability, and workflow execution. Ship full-stack product and backend systems, work directly with customers, and contribute to roadmap, architecture, engineering practices, and company culture.

Own business operations across finance, legal and security compliance, procurement, vendor contracts, and people operations. Responsibilities include runway tracking, budgeting, spend analysis, reporting, compliance processes for B2B contracts, negotiations, payroll support, onboarding, HR compliance, and operational systems development. The role partners directly with founders at a high-growth AI-native marketing automation startup and requires on-site work in San Francisco five days per week.

Build and own full-stack product features from discovery through production for an AI-native global trade and customs compliance platform. Work with founders and customers to transform complex workflows, integrations, documents, and supply-chain data into reliable software. Develop across TypeScript, Node.js, React, GraphQL, and PostgreSQL while contributing to agentic AI capabilities and making product and engineering decisions in a fast-moving startup environment.

Founding BizOps team member supporting strategy and execution across recruiting, growth, customer activation, pricing, sales operations, and customer initiatives. The role involves building AI agents and reusable workflows, defining company metrics, onboarding customers, and solving ambiguous business problems with the COO and founders. This is a full-time, onsite individual-contributor position in San Francisco.

Own customer implementations from contract signing through daily product adoption for small and midsize accounting firms. Responsibilities include scoping implementation plans, training users, integrating software into workflows, resolving onboarding issues, building repeatable implementation processes, gathering product feedback, and partnering with founders on customer outcomes.

Own strategic OEM relationships through complex hardware product-development cycles from technical qualification to production. Coordinate engineering, product, operations, manufacturing, and supply-chain teams; lead design reviews, milestones, manufacturing readiness, and risk management. Translate partner priorities into internal actions, communicate technical tradeoffs, advocate for customer needs, and help establish processes for a new account-management function.

Own customer-facing computer vision deployments from proof of concept through production adoption and maintenance. Build data pipelines, edge-device systems, models, and infrastructure using Python, Docker, Kubernetes, Linux, NVIDIA Jetson, and MLOps. Troubleshoot physical-environment challenges such as lighting, calibration, model drift, networking, and hardware constraints. Work onsite with customers, communicate with technical and executive stakeholders, document architectures, and relay field insights to Product and Engineering. The role requires 40%–50% travel.

Own an end-to-end B2B SaaS product area, from customer discovery and strategy through roadmap, delivery, launch, and iteration. Partner with mortgage lenders, engineers, designers, Sales, and Customer Success to identify problems, define specifications, influence architecture, integrate third-party APIs, prototype with AI tools, and use metrics to guide decisions. This is an individual-contributor role requiring technical fluency and zero-to-one product launch experience.