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

Lead client AI initiatives from discovery through rollout and adoption. Analyze operations and data, define scope and success measures, test solutions with technical teams, manage stakeholders, train users, and verify business improvements. Feed field insights into product decisions and deployment practices. The role requires technical fluency in software systems, interfaces, and data, plus executive presence and customer-facing communication. It is based onsite in San Francisco or New York with travel to customer offices.

Leads and remains hands-on with an engineering organization building server-side, data, and machine learning software. Responsibilities include architecture, system design, delivery planning, technical standards, production operations, coaching, performance management, hiring, and developing reusable customer solutions. The role requires regular production coding, leadership of engineers or substantial projects, client-facing communication, and periods working at client premises.

Own the machine learning model lifecycle from experimentation through production deployment. Train and evaluate generative image and video models, design evaluation suites, build curated datasets from user activity and expert feedback, and develop compact in-house models optimized for speed and quality. This individual contributor role requires ownership of modeling work in a small team and practical experience delivering generative or computer vision systems.

Own electrical engineering for heavy-duty machinery, including system design, schematics, wiring, harnesses, installation, integration, testing, debugging, and fault resolution. Collaborate with mechanical, software, manufacturing, hardware, and technician teams to improve machine designs and transition prototypes into repeatable production. The role is hands-on and primarily onsite, involving shop-floor work and electrical subsystem rework.

Support and improve a heavily used web application as a backend-oriented full-stack engineer. Responsibilities include infrastructure and backend support, defect resolution, incremental improvements, feature development, product collaboration, and maintaining application reliability as usage scales. The role requires quickly becoming productive in a production environment and includes increasing ownership of product work over time.

Build and own an outbound sales and growth function, including lead sourcing, qualification, email outreach, automated AI-assisted workflows, acquisition channels, and revenue systems. Track buying signals, generate qualified leads, schedule sales calls, and optimize measurable go-to-market loops. The role requires hands-on expertise with Apollo, Clay, AI agents, media buying, analytics, SEO, and conversion optimization, along with the ability to coach leadership and drive growth outcomes.

Own a portfolio of client accounts from onboarding through close, advising company leaders on hiring strategy and role requirements. Build trusted relationships, coordinate external recruiters, manage candidate and client feedback, keep searches moving, invoice clients, and expand the account book. The role requires senior client leadership, recruiting or consulting experience, strong communication, commercial accountability, and confidence advising founders.

Own the architecture, implementation, release, and operation of core platform services. Build backend services with TypeScript, Node.js, and Python, contribute to React features, and deploy AI-powered capabilities to real users. Partner with engineering, product, design, and data teams; make system design tradeoffs; establish testing, code review, release, and incident practices; and use AI coding assistants in daily development.

Build and own an AI-driven software platform across user-facing applications, APIs, backend services, orchestration, infrastructure, and evaluation systems. Connect models to tools, retrieval, and feedback loops; prepare technical data; optimize deployment, observability, latency, and cost; and collaborate with research and product teams. Establish AI-assisted coding practices and ship production software used by real customers.

Lead product strategy and roadmap for a shared technology platform supporting multiple product lines. Prioritize competing requests, assess reusable platform components, manage interfaces and migrations, and guide product managers. Partner closely with engineering leadership, drive zero-to-one product ownership, and build AI-powered prototypes, agents, scripts, and automated workflows. The role requires extensive product management experience, AI/ML platform expertise, technical interface standards experience, and on-site work in San Francisco.