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

The Senior Product Manager will define enterprise product roadmaps, requirements, MVP experiences, and experiments. They will collaborate with engineering, design, marketing, customer success, and other teams to build, launch, and improve products that drive growth and retention. Responsibilities include customer interviews, prioritization, release planning, risk and dependency management, stakeholder communication, and translating strategic vision into actionable deliverables.

Own and optimize Drata’s marketing technology ecosystem, including CRM integrations, lead routing, scoring, attribution, automation, data quality, and governance. Lead platform strategy, tool deployments, system logic, integrations, QA, release management, and troubleshooting across GTM teams. Partner with Sales and Marketing Operations to improve lead assignment, pipeline acceleration, reporting, and operational efficiency. Apply AI and machine learning capabilities to targeting, scoring, and predictive analytics while monitoring platform health and performance.

Technical leader responsible for architecting and evolving Drata's billing and monetization platform: usage ingestion, billable metrics, pricing, entitlements, invoicing, and integrations with Finance/CRM/ERP. Design event-driven, auditable, and scalable systems, ensure operational correctness and reconciliation, lead cross-team initiatives, review architecture, troubleshoot discrepancies, and mentor engineers on financial correctness and distributed systems.

Embedded finance partner to GTM leadership owning ARR forecasting, capacity and headcount planning, investment allocation, and ROI analysis. Leverage AI and automation to build scalable forecasting models and workflows, provide data-driven guidance on GTM strategy and unit economics, and align Finance, RevOps, and GTM on long-range plans, annual budgets, and quarterly reforecasts.

The Senior AI Product Engineer will develop and optimize AI product features, ensuring a seamless user experience through collaboration with engineering teams. Responsibilities include building full-stack features, implementing user feedback mechanisms, and monitoring product performance.

The Senior Platform AI Engineer will develop production infrastructure for AI features, focusing on server architecture, agent orchestration, and AI model lifecycle management. The role requires building efficient systems and collaborating with various engineering teams to optimize workflow and enhance deployment processes.

The Senior Applied Research Engineer will focus on improving AI systems through experimentation and research, collaborating with engineering teams to implement findings into production systems.

As a Senior IT Engineer, you'll manage security infrastructure, automate workflows, integrate SaaS tools, improve security posture, and mentor junior staff. You'll leverage automation to enhance internal operations and maintain compliance.

As Principal Product Manager, AI, you will define and execute the AI strategy at Drata, leading the development of AI-native experiences, collaborating with cross-functional teams, and driving the AI product vision while mentoring other product managers.

Design, build, and scale production LLM, retrieval, and agentic AI systems for compliance automation. Implement evidence-grounded, explainable workflows, optimize for latency/cost/reliability, and embed human-in-the-loop guardrails while collaborating cross-functionally.