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

Lead and build a new infrastructure group responsible for physical server deployments, colocation and hardware vendors, operating systems, secure access, Kubernetes clusters, production support, monitoring, incident response, and internal infrastructure tooling. The role requires hands-on ownership of accelerated-compute hardware and large-scale systems, with opportunities to mentor and grow the team.

Partner with the founding team to turn strategic priorities into measurable results. Coordinate cross-functional projects, manage risks and blockers, establish goal-setting and performance rhythms, and drive high-visibility initiatives from concept through completion. Build lightweight processes, use AI tools to automate repetitive work, and take ownership of ambiguous business issues before transitioning solutions to growing teams.

Build and own a new AI product and its production infrastructure. Responsibilities include designing validated AI agent systems, secure enterprise software connectors, developer tooling, code analysis capabilities, low-latency model serving, monitoring, retrieval and language-model pipelines, and model tuning. The engineer will work directly with customers, ship production code, establish engineering standards, and influence team culture and product direction.

Own the deal desk function for a growing B2B software company. Manage complex strategic agreements, develop pricing and approval policies, create scalable processes and playbooks, and partner with sales, finance, legal, and leadership on deals exceeding $1 million. Build CRM and SQL-based tooling and reporting to monitor deal velocity, discounting, and pricing performance. Improve packaging and pricing strategies while establishing a function that may eventually include team leadership.

Lead the marketing function supporting enterprise sales across North America and EMEA. Responsibilities include developing demand-generation campaigns, positioning the offering, creating sales enablement materials, managing conferences and events, administering marketing automation and CRM workflows, and connecting marketing activity to revenue goals.

Design, build, operate, and support scalable backend platform modules throughout their lifecycle. Develop production AI agents with testing, safeguards, monitoring, and feedback systems. Collaborate with engineering and customer-facing teams to turn bespoke solutions into reusable products, lead infrastructure initiatives, shape data pipelines and integrations, and participate in on-call and root-cause investigations.

Own the infrastructure powering language-model training and serving from experimentation through production. Optimize GPU performance, latency, throughput, memory, and cost; improve batching, caching, compression, and decoding; support inference for evaluation, synthetic data, and reinforcement learning; and build reliable model release and observability workflows. Partner with founders and researchers to allocate GPU capacity and deploy models in customer environments.

Build and lead an alliances function for a fast-growing software company. Develop relationships with cloud vendors, consulting firms, systems integrators, and technology partners; establish partner frameworks and programs; enable joint selling; and drive partner-originated enterprise deals through closing. The role collaborates with senior leadership, commercial, and product teams to grow partner-driven revenue and requires frequent in-person engagement with customers and partners.

Own the reliability, security, and delivery of a production cloud platform. Responsibilities include improving infrastructure and deployment processes, managing service-level objectives, incident response, observability, disaster recovery, Kubernetes on AWS, GitOps delivery, compliance evidence, and infrastructure security. The role identifies gaps, develops remediation plans, and drives measurable improvements in uptime and deployment speed.

Lead and grow a platform engineering organization while remaining hands-on with code and architecture. Own the core platform across runtime services, orchestration, retrieval, evaluation, integrations, and authoring tools. Partner with executives on releases and initiatives, improve delivery speed, quality, stability, tooling, and monitoring, and build engineering culture during rapid growth. The role requires production-scale AI or ML infrastructure experience, strong TypeScript or Python skills, and on-site work five days weekly.