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

Own the analytical function for a core business area such as growth, product, AI, or partnerships. Define business questions and metrics, build reports, conduct analyses and experiments, surface insights, and drive leadership decisions and outcomes. The role requires independently structuring ambiguous problems, communicating recommendations persuasively, and executing initiatives end to end.

Lead the architecture and development of Jerry.ai’s next-generation AI agents and workflow automation platform. Build conversational and computer-use agents, document validation, voicebot interactions, and integrations with external insurance systems. Evaluate emerging AI technologies, deploy production LLM systems, and improve reliability, latency, cost, evaluation, and failure handling. Partner with OpenAI on next-generation voice models and automation capabilities.

Own end-to-end data science for growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; generate insights; and drive recommendations and decisions with cross-functional stakeholders. The role requires independent analytical problem-solving, strong SQL or Python skills, persuasive communication, and ownership of ambiguous problems with measurable business impact.

Lead the architecture and development of Jerry.ai’s next-generation AI and automation platform. Own conversational agents, voicebots, computer-use agents, backend workflow automation, document validation, transaction orchestration, and external insurance-system integrations. Evaluate emerging AI technologies, deploy production LLM systems, and partner with OpenAI on advanced voice and workflow solutions. The role requires end-to-end software ownership, strong architectural judgment, and experience managing evaluations, regressions, latency, cost, and failure handling.

Own Jerry.ai’s end-to-end partnerships motion for new product lines, including building the pipeline, developing partner value propositions, structuring complex deals, closing agreements, and ensuring post-close success. The role focuses on insurance carriers and distribution partners, contributes to vertical strategy, and requires independently managing senior stakeholders across product, engineering, data science, legal, finance, and executive leadership.

Own the analytical function for a business area such as growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; surface insights; and drive data-informed decisions with cross-functional stakeholders. The role requires independently structuring data, solving ambiguous problems, communicating recommendations clearly, and delivering measurable business impact.

Manage and grow strategic partnerships by nurturing partner relationships, developing business plans and OKRs, identifying new opportunities, negotiating mutually beneficial deals, analyzing performance data, and resolving operational issues. Collaborate with product, operations, data, and sales teams to develop scalable partner solutions and drive business growth. The role reports to the VP of Partnerships and requires strong communication, analytical, project management, and execution skills.

Own the analytical function for a business area such as growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; surface insights; and drive data-informed decisions with cross-functional stakeholders. The role requires independent analytical problem-solving, SQL or Python proficiency, strong communication, and ownership of ambiguous initiatives through measurable business impact.

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; surface insights; make recommendations; and drive decisions and execution with cross-functional leaders. The role requires strong independent analytical skills, first-principles problem solving, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Leads data-driven business operations initiatives, including customer and partner growth, product experimentation, acquisition strategy, and process optimization. Partners with marketing, product, and business development teams; designs and analyzes A/B tests; applies machine learning and SQL-based analysis to generate strategic insights and improve operational efficiency.