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

One Month AgoSaved
In-Office
San Francisco, CA, USA
162K-180K Annually
Senior level
162K-180K Annually
Senior level
Artificial Intelligence • Machine Learning • Generative AI
Own technical revenue accounting for strategic commercial deals from initial structuring through launch and ongoing governance. Build ASC 606-compliant revenue models, advise on pricing and contract terms, evaluate complex accounting matters, and translate conclusions into billing, settlement, reporting, systems, controls, and operational processes. Lead cross-functional launch readiness, resolve post-launch issues, and improve scalable deal execution playbooks.
One Month AgoSaved
Hybrid
San Francisco, CA, USA
234K-260K Annually
Entry level
234K-260K Annually
Entry level
Artificial Intelligence • Machine Learning • Generative AI
Develops pricing strategy for B2B enterprise customers by analyzing price performance, discounts, concessions, credit programs, promotions, and deal economics. Builds pricing frameworks and commercial structures for customer segments, evaluates program ROI, and partners with Finance, GTM, Sales, and Product on enterprise proposals and broader commercial strategy.
Reposted One Month AgoSaved
Hybrid
San Francisco, CA, USA
171K-190K Annually
Mid level
171K-190K Annually
Mid level
Artificial Intelligence • Machine Learning • Generative AI
Lead day-to-day internal communications for the Enterprise & Growth portfolio, plan and execute internal events, manage customer storytelling logistics, monitor employee feedback channels, maintain intake/calendar of milestones, and support broader internal comms initiatives with strong organization and cross-functional coordination.
One Month AgoSaved
In-Office
San Francisco, CA, USA
162K-180K Annually
Entry level
162K-180K Annually
Entry level
Artificial Intelligence • Machine Learning • Generative AI
Manages enterprise revenue accounting within Controllership by preparing journal entries, performing reconciliations, supporting monthly close, responding to audits, and analyzing large datasets to investigate accounting activity.
Top Skills: SQL
One Month AgoSaved
Hybrid
San Francisco, CA, USA
239K-328K Annually
Entry level
239K-328K Annually
Entry level
Artificial Intelligence • Machine Learning • Generative AI
Leads independent evaluations, adversarial testing, research partnerships, and transparency programs for frontier AI safety. Coordinates researchers, engineers, product, policy, communications, and external experts; translates technical findings into safety recommendations and public documentation; manages goals, milestones, risks, dependencies, and follow-up actions.
Top Skills: Ai EvaluationsAi SafetyArtificial Intelligence
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One Month AgoSaved
Hybrid
San Francisco, CA, USA
347K-490K Annually
Expert/Leader
347K-490K Annually
Expert/Leader
Artificial Intelligence • Machine Learning • Generative AI
Lead the strategy and roadmap for OpenAI’s enterprise identity products, including SSO, SCIM, federation, administration, and access controls. Partner with engineering, security, go-to-market, customers, and cross-functional teams to integrate identity capabilities across ChatGPT, API, and other products. Define identity data models, address enterprise security and compliance needs, and establish KPIs for product adoption, success, and reliability.
Top Skills: Identity FederationScimSso
One Month AgoSaved
Hybrid
San Francisco, CA, USA
189K-200K Annually
Expert/Leader
189K-200K Annually
Expert/Leader
Artificial Intelligence • Machine Learning • Generative AI
Owns large enterprise accounts, driving new business, adoption, expansion, and consumption revenue. Responsibilities include prospecting, executive engagement, complex deal strategy, technical evaluations, negotiations, forecasting, account planning, and guiding customers from AI discovery through deployment and sustained usage. Partners with engineering, solutions, procurement, and customer stakeholders to create measurable business outcomes and inform product and go-to-market strategy.
Top Skills: Artificial IntelligencePlatform As A Service (Paas)Software As A Service (Saas)
One Month AgoSaved
In-Office
San Francisco, CA, USA
234K-260K Annually
Senior level
234K-260K Annually
Senior level
Artificial Intelligence • Machine Learning • Generative AI
Partners with advertisers and agencies throughout the sales and growth lifecycle, providing technical expertise for ad measurement, integrations, data activation, campaign execution, onboarding, and troubleshooting. Designs implementation approaches, builds demos and proofs of concept, creates scalable documentation, trains internal teams, and collaborates with Product and Engineering to resolve issues and influence the ads platform roadmap.
Top Skills: Analytics ToolsAPIsAttribution PlatformsCdpsConversion ApisCrm IntegrationsData IntegrationsData WarehousesIdentity SolutionsMobile MeasurementPixelsSQLTag Managers
One Month AgoSaved
Hybrid
San Francisco, CA, USA
234K-260K Annually
Senior level
234K-260K Annually
Senior level
Artificial Intelligence • Machine Learning • Generative AI
Partner with advertisers and agencies to evaluate, launch, and scale advertising solutions. Lead technical discovery, design integrations and measurement frameworks, guide onboarding, troubleshoot implementation and performance issues, build demos and proofs of concept, and create scalable documentation and training. Collaborate with sales, product, engineering, policy, and operations teams to resolve blockers, advocate for customers, and influence the ads platform roadmap.
Top Skills: Analytics ToolsAPIsAttribution PlatformsConversion ApisCrm SystemsCustomer Data PlatformsData WarehousesIdentity SolutionsPixelsServer-To-Server IntegrationsSQLTag Managers
One Month AgoSaved
In-Office
San Francisco, CA, USA
Entry level
Entry level
Artificial Intelligence • Machine Learning • Generative AI
Design, deploy, optimize, and maintain advanced machine learning models for monetization applications. Translate AI research into scalable production systems, build data pipelines, improve model performance, collaborate with research, engineering, product, and design teams, and contribute to model monitoring, code reviews, and end-to-end problem ownership.
Top Skills: Data PipelinesDeep LearningLarge Language ModelsPyTorchTensorFlowTransformers
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