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

Leads market research strategy for ChatGPT, directing complex quantitative and qualitative workstreams across product, brand, and growth. Translates audience research, behavioral data, and feedback into recommendations for senior leaders. Establishes research standards and reusable frameworks, manages agencies and vendors, partners cross-functionally, and mentors experienced researchers. The role requires expertise in research design, sampling, weighting, statistical analysis, survey programming, global research, positioning, messaging, brand strategy, and campaign measurement.

Own large enterprise cybersecurity accounts, generate new business, expand adoption, and lead complex AI platform sales from prospecting through deployment and renewal. Engage CISOs, CIOs, CTOs, and cross-functional stakeholders; develop account strategies, build business cases, manage negotiations, navigate security and privacy requirements, forecast consumption revenue, and drive sustained customer usage. Partner with solutions engineering and internal teams to translate AI capabilities into measurable cybersecurity outcomes and inform product strategy.

Leads technical programs for Robotics facilities from planning and design through construction, commissioning, equipment installation, and handover. Consolidates requirements across research, engineering, and operations teams; translates workflows into facility and infrastructure requirements; coordinates design reviews; manages milestones, dependencies, risks, changes, and decisions; and partners with Legal, Finance, Security, IT, EHS, and facilities stakeholders to ensure operational readiness.

Leads technical accounting and operational execution for advertising revenue, including ASC 606 assessments, policies, governance, incentives, reconciliations, controls, and close processes. Partners with Product, Engineering, Legal, Tax, Sales, Billing, and auditors to translate accounting conclusions into scalable launch and reporting requirements. Builds 0-to-1 processes and uses data, AI, and automation to improve Finance workflows.

Lead measurement, experimentation, and optimization for checkout, payments, subscriptions, pricing, and monetization infrastructure. Define metrics and guardrails, design experiments and causal studies, improve conversion and retention, develop pricing and localization frameworks, partner with Data Engineering on trusted datasets and monitoring, and translate analysis into product and business decisions. Provide technical leadership and mentorship across data science teams.

Own accounting close activities, journal entries, reconciliations, intercompany accounting, consolidation support, and financial analysis. Manage outsourced accounting partners, maintain internal controls, support audits, and improve accounting processes through automation and systems enhancements. Partner with Tax, Treasury, Strategic Finance, and Business Systems while supporting new entities, acquisitions, and other business initiatives.

Leads OpenAI’s education content marketing engine across editorial, curriculum, video, visual, social, email, web, and blog formats. Builds scalable workflows, calendars, templates, governance, and production systems; develops education resources; manages channels and external creative partners; and uses analytics, experimentation, and audience insights to improve content quality, engagement, and growth.

Build full-stack products for life sciences workflows, with emphasis on backend services, APIs, AI integrations, scientific tools, and laboratory systems. Own projects from problem definition through launch and ongoing iteration. Partner with scientists, researchers, and infrastructure engineers to create reliable, scalable experiences that connect users with models and computational or laboratory capabilities.

Own end-to-end technical delivery for complex customer deployments, translating business objectives into roadmaps, coordinating FDE, research, product, and customer teams, and driving systems from prototype through scale. Lead customer workflow mapping, production adoption, change management, dependency tracking, sequencing, ROI measurement, and executive communication. Codify reusable solution patterns and field insights to improve products and models, with a focus on Financial Services customers.

Own strategy, roadmap, and execution for AI products serving financial-services workflows. Conduct customer discovery, prototype and ship experiences, define quality evaluations, address institutional integration and trust requirements, measure adoption and business impact, and collaborate with Engineering, Design, Research, Legal, Security, Partnerships, and go-to-market teams.