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

Supports the CTO and VP of Product by managing calendars, preparing leaders for meetings, coordinating travel and events, organizing team offsites and company meetings, and supporting cross-functional EPD initiatives. The role requires proactive stakeholder management, strong organization, excellent communication, and proficiency with Google Workspace, Slack, and AI tools in a fast-paced technology startup.

Build and scale Fieldguide’s security function across secure software design, identity and secrets management, cloud and Kubernetes security, and agentic AI security. Partner with engineering and product teams to identify risks, develop secure frameworks, harden cloud controls, enforce AI-agent permissions and tenant isolation, and promote secure development through design reviews and coaching.

Leads Fieldguide’s transition to agentic audit operations by translating audit standards and professional judgment into AI workflows, documentation, guardrails, and product requirements. Owns customer transformation frameworks, adoption programs, training, and strategic account engagements. Partners with product, engineering, sales, and customer success; monitors regulatory developments; supports go-to-market activities; and represents the company with firms, regulators, standard-setters, and industry organizations.

Own quality and automation for enterprise SaaS and PaaS deployments. Build agentic workflows for bug triage, reproduction, routing, and resolution; improve automated testing, CI quality gates, environment parity, and release confidence. Collaborate directly with enterprise customers, communicate quality trends, run bug bashes, create evaluation datasets, and ship code fixes. Senior and staff scopes may include setting organization-wide quality strategy, mentoring engineers, and defining automation standards.

Build full-stack, agent-driven software for SOX control testing and internal audit workflows. Design reliable and observable LLM agent systems, create structured audit deliverables, own end-to-end technical workstreams, and collaborate with product, design, auditors, and domain experts. Engineers will help shape agentic architecture, AI tooling, evaluation practices, and product direction while working on ambiguous 0-to-1 initiatives.

As a Senior or Staff Deployed Software Engineer, you will design and build software solutions, collaborate with teams, and drive technical strategy while engaging with customers to solve complex problems.

Build and maintain knowledge and evaluation infrastructure for long-horizon AI agents. Develop production agents for complex customer use cases, analyze agent errors, and implement quality improvements. Build reliable backend systems supporting agent execution, evaluation, and monitoring, while partnering with senior engineers on platform reliability and quality. The role may also involve platform engineering, frontend work, and distributed systems.

Owns evaluation strategy, error analysis, agent knowledge infrastructure, and backend systems for long-horizon AI agents. The role improves agent quality, reliability, execution, monitoring, and platform scalability while mentoring engineers and shaping the AI platform roadmap. Candidates need hands-on experience building AI products and agents, developing evaluations, analyzing failures, and delivering backend or platform systems.

Own Fieldguide’s internal audit product strategy and roadmap from market entry through execution. Build enterprise-grade AI agents to improve efficiency and quality across audit planning, risk assessment, execution, and reporting. Partner with sales, marketing, and customer success to gather feedback and drive adoption. Engage directly with Chief Audit Executives and internal audit leaders, translating regulated audit workflows into product requirements. Requires deep internal audit, SOX, risk, or compliance workflow experience and strong fluency in LLM and agent architecture.

Build the operating systems connecting Product, Engineering, and Go-to-Market. Establish voice-of-customer processes, product success dashboards, KPI measurement, roadmap and planning rituals, launch calendars, intake frameworks, and RACI structures. Analyze competitive positioning, user feedback, product usage, retention, and agent unit economics to inform product bets and roadmap sequencing. Drive cross-functional alignment and scale product operations from the ground up.