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

Supports client engagements through discovery, process mapping, analysis, and readouts. Also contributes to outbound, webinars, executive events, recruiting, marketing research, client coordination, and eventually sales calls. The role requires strong communication, analytical problem-solving, adaptability, AI fluency, client presence, ownership, urgency, and comfort working across functions in a fast-growing AI startup.

Conduct applied, production-facing AI research to improve enterprise agents. Own fine-tuning, preference optimization, post-training pipelines, evaluation suites, and golden datasets. Analyze production traces and failures to create training data and targeted improvements. Collaborate on model routing, distillation, inference cost, and latency while determining when fine-tuning outperforms prompting, retrieval, or scaffolding.

Own full-cycle recruiting across engineering, forward-deployed strategy, and go-to-market roles. Source and close high-caliber passive candidates, partner with founders and hiring managers, calibrate hiring standards, run efficient interview processes, and manage recruiting systems and data in Ashby. The role requires strong talent judgment, speed, proactive communication, startup adaptability, and on-site work in San Francisco five days per week.

Own Varick’s enterprise growth funnel and generate qualified pipeline through SEO, AI search optimization, buyer publications, outbound, webinars, executive events, and campaigns. Build growth strategy, run experiments, establish funnel metrics, measure channel performance, and report on pipeline. Partner with the Head of Marketing, founders, and an outbound agency to drive enterprise buyer conversations.

Own Varick’s marketing strategy, positioning, narrative, and brand across channels. Create and manage social content, newsletters, videos, website experiences, and visual assets while translating client work and research into credible enterprise content. Partner with founders and sales to refine messaging and connect marketing to pipeline and revenue. This hands-on role requires strong writing, design, video, AI fluency, commercial judgment, and end-to-end ownership.

Embed with enterprise clients to map workflows, identify automation opportunities, build business cases, and translate ambiguous problems into agent briefs for engineering teams. Lead discovery, KPI definition, executive presentations, adoption, training, change management, and post-deployment measurement. Expand AI transformation opportunities within existing accounts and codify successful approaches into playbooks. The role requires strong communication, analytical rigor, commercial judgment, AI fluency, and comfort working in an ambiguous, high-urgency startup environment.

Build and improve a full-stack product that enables customers to manage AI agent workflows, including exception queues, reconciliation reviews, approvals, reporting, APIs, and agent SDK tools. The role involves frontend and backend development, real-time interfaces, workflow reliability, traceability, customer feedback, and polished user experiences. Engineers work in person with customers and a small founding team to shape product direction and solve ambiguous technical problems.

Own infrastructure for deploying and operating AI agent systems across customer environments. Responsibilities include workflow reliability, CI/CD, secrets and access controls, database performance, observability, integration resilience, incident response, and on-call operations. The role works closely with engineers to build practical shared infrastructure, investigate production failures, and improve systems across deployments. This is an in-person San Francisco position with occasional extra hours and weekend commitments.

Build and deploy AI agents within enterprise workflows by embedding with client teams, mapping processes, defining KPIs and evaluation plans, creating prototypes, and driving adoption. The role combines engineering, analysis, and executive-level communication. Responsibilities include training users, iterating on deployed agents, presenting findings to senior stakeholders, codifying successful approaches, and identifying additional AI transformation opportunities. The position is onsite in San Francisco with 20–40% client travel.