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

Lead B2B lifecycle strategy and journey architecture across prospect and customer stages. Design personalized nurture and activation programs, establish triggers and routing with cross-functional partners, own experimentation and measurement frameworks, improve database health, and build lifecycle playbooks to drive conversion, pipeline, adoption, retention, and scalable execution.

Lead paid and emerging-channel B2B demand strategy across paid search, social, display, content syndication and third-party partnerships. Translate pipeline goals into audience, channel, budget, and experimentation plans; partner with Performance Marketing, RevOps, Analytics, Finance, and Sales to measure and optimize qualified pipeline and ROI. Build partner portfolios, design full-funnel tests, validate new channels, and communicate performance narratives to leadership.

Own demand strategy for Mid-Market and SMB segments, translating segment goals into integrated campaigns across web, email, paid media, webinars, content, partners, and sales. Define ICPs, optimize conversion and lead routing, run disciplined tests, measure segment-level pipeline and revenue outcomes, and align cross-functional teams through clear operating rhythms and decision frameworks.

Lead enterprise ABM strategy and operating model for priority accounts: select and tier accounts, design 1:1 and 1:N programs, align Marketing and Sales, orchestrate cross-channel engagement, build measurement and playbooks, and apply AI responsibly to improve account research and personalization to drive qualified pipeline and revenue.

Lead evaluation of GPU and accelerator architectures for AI workloads by benchmarking, profiling, and validating engineering-sample silicon. Analyze compute, memory, data-type, and interconnect tradeoffs, translate vendor specs into workload impact, partner with modeling and system teams, and provide actionable feedback to vendors to influence future silicon design.

Build and operate backend systems, workflow tooling, and data pipelines for lawful data access requests. Implement least-privilege access, audit trails, data minimization, and approval gates. Partner with Legal and Operations to translate requirements into secure, auditable, and operator-friendly systems. Own production reliability, testing, observability, and incident response while defining reusable privacy infrastructure.

Lead high-stakes technology negotiations from strategy to signed agreement for data platforms, infrastructure, observability, and enterprise SaaS. Develop fact-based negotiation plans, align cross-functional stakeholders, shape complex commercial structures (cost, equity, revenue, risk), advise executives, manage supplier engagements and escalations, and convert lessons into reusable playbooks and market intelligence.

Lead end-to-end execution and continuous improvement of OpenAI's extended workforce program. Translate priorities into plans, implement scalable processes, systems, automation, reporting, and AI use-cases; manage suppliers and stakeholders; ensure compliance; resolve complex escalations; and drive adoption and measurable program health outcomes.

The Product Policy Biosecurity Policy Manager will evaluate and develop policies for using OpenAI's tools in life sciences while preventing misuse. This role involves collaboration across teams to ensure that AI capabilities support legitimate researchers and prevent harmful applications.

The Revenue Operations Manager will design customer interaction processes, manage Technical Success team capacity, track KPIs, and partner with data teams for reporting.