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

Lead Product Manager to define, build, and ship enterprise-grade AI agents for financial audit workflows. Partner with engineers and customers to design, deliver, and scale agentic features across audit lifecycle, drive roadmap, and collaborate with cross-functional teams to ensure adoption and impact. Hybrid role based in San Francisco.

Lead end-to-end planning and delivery of complex cross-functional SaaS programs. Scope projects, set milestones, manage risks, align stakeholders, define KPIs, report to leadership, drive change management, and support capacity planning and continuous improvement.

Lead onboarding and implementation for new customers, drive adoption through relationship-building, project planning, risk mitigation, progress tracking, and internal advocacy to shape product and processes. Deliver Fieldguide's Accelerator program to ensure quick time-to-value and document customer successes.

As a Staff AI Engineer at Fieldguide, you will define technical direction, build AI systems, mentor engineers, and drive organizational leverage across various teams, while focusing on enterprise-grade reliability.

Design and build Fieldguide's core platform services, including APIs and systems. Mentor engineers and improve product delivery and system reliability.

As a Staff Software Engineer, you will drive technical direction for financial audit, mentor engineers, and design AI-driven workflows while collaborating on product development.

The role involves designing and building AI agents for audit workflows, owning product areas end-to-end, and mentoring other engineers.

Design, build, and deliver software features to drive customer impact, collaborate with teams, and improve development workflows.

As an AI Engineer at Fieldguide, you'll develop AI agents for complex audit workflows, design systems for reliability, and optimize agent capabilities based on customer needs. You'll build and integrate systems using LLMs and ensure agents improve over time, collaborating closely with product and design teams.

As an AI Engineer, you will create a unified evaluation infrastructure for AI agents, ensuring reliable performance while integrating automated pipelines and feedback systems for rapid model evaluation and quality assurance.