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

Own a compliance product area end to end, from customer discovery and outcome definition through prioritization, AI-powered product decisions, launches, and post-release measurement. Build business cases, manage customer and business risks, collaborate with engineering, design, GTM, and executives, and communicate progress through data-driven reporting. The role focuses on compliance, GRC, security, audit workflows, and continuous trust verification for B2B SaaS customers.

Own and optimize revenue operations systems, workflows, lead routing, forecasting, territories, segmentation, and GTM data governance. Build dashboards and analytics for pipeline, conversion, productivity, bookings, and forecast accuracy. Partner with Sales and other GTM teams on planning, deal support, pricing workflows, and strategic programs. Evaluate tools, improve system health, and collaborate with Data and Analytics on AI-enabled efficiency solutions.

Build and scale data products supporting analytics, engineering services, and AI/ML models. Responsibilities include optimizing queries and data pipelines, developing data models and governance processes, administering ETL/ELT and reverse ETL orchestration, and creating documentation and training. The role also involves mentoring, interviewing, and hiring data engineers while helping define the organization’s data engineering strategy.

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.

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.

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.

The Senior AI Product Engineer will develop AI features integrated into products, focusing on user experience, full-stack development, and collaboration with AI engineers, product managers, and design teams.

Leads the East enterprise sales team, driving quota attainment, account-based execution, forecasting discipline, win-rate improvement, and complex deal strategy. Manages, coaches, and performance-manages Account Executives while developing scalable sales processes and enterprise go-to-market motions. Partners cross-functionally with Marketing, Product, RevOps, Enablement, Solutions Engineering, Legal, and Customer Success to improve deal velocity, customer engagement, and segment performance.