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

Own backend services, platform architecture, and AI agent infrastructure. Architect real-time matching and machine-learning screening workflows, improve system performance and scalability, establish AI quality measurement and experimentation, and guide model selection and orchestration. Collaborate with users, operators, product, and operations leaders; shape long-term roadmaps; hire and mentor engineers; and deliver products in a fast-changing, on-site environment.

Serve as a technical partner for enterprise customers by analyzing operational data, building AI prototypes and proofs of concept, leading technical demos, and supporting evaluations, pilots, implementations, and active deployments. Use Python, SQL, machine learning, and data science to quantify business value and communicate effectively with technical and business stakeholders.

Build the product marketing function, leading positioning, messaging, brand narrative, product launches, sales enablement, content, advertising copy, and go-to-market materials. Partner with sales, engineering, and machine learning teams to translate complex cybersecurity offerings into compelling stories for technical and business audiences. Gather buyer feedback through sales conversations and refine messaging accordingly.

Leads the technical vision and architecture for perception software on unmanned platforms. Owns sensor fusion, localization, object tracking, environment modeling, production deployment, and performance measurement. Collaborates with autonomy and machine learning teams, mentors senior engineers, guides technical strategy, and supports hiring. The role requires extensive hands-on experience delivering perception systems for robotics, aerospace, defense, or unmanned vehicles, including radar and low-light sensing.

Lead backend and infrastructure development for a high-traffic consumer web platform. Build feature infrastructure, recommendation and model-serving pipelines, and reliable production systems. Own monitoring, logging, incident response, API performance, data access, caching, asynchronous processing, live connections, abuse prevention, architecture, capacity planning, deployment, observability, and recovery decisions on a small, high-ownership team.

Serve as the first operations hire, partnering with the founder to establish back-office functions, hiring processes, customer collateral, fundraising materials, and scalable internal systems. The role coordinates facilities, people operations, financial administration, legal and regulatory matters, vendors, candidates, and stakeholders while independently handling broad operational and business-facing responsibilities in a fast-growing startup.

Build the marketing function from zero for an AI finance platform. Develop and execute multi-channel growth strategies, positioning, demand generation, partnerships with venture firms and accelerators, and data-driven campaigns. Establish marketing processes, optimize conversion and pipeline, and work directly with founders to drive measurable growth as the company scales.

Own the machine learning layer of a production software product, including AI feature design, model integration, data pipelines, evaluation tooling, testing, deployment, performance optimization, and monitoring. Diagnose whether issues originate in models, data, or user experience, and make foundational architecture decisions while releasing improvements weekly.

Build and lead an independent quality function for technical deliverables. Establish review workflows, scoring guides, and acceptance standards; inspect code and reasoning materials; identify defect patterns; coach contributors; automate quality checks with infrastructure engineers; and report error rates, root causes, and improvement progress to leadership.

Own the full sales cycle for large corporate B2B buyers, including prospecting, discovery, pilots, negotiations, and closing. Build outbound pipeline, engage senior executives, develop ROI-focused business cases, and align stakeholders through lengthy sales cycles. Translate customer insights into product and roadmap recommendations while helping establish a scalable go-to-market function. The role is based onsite in San Francisco and requires quarterly customer and conference travel.