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

Provide high-level executive support to senior Engineering and Product leaders: manage complex calendars and priorities, anticipate needs, coordinate cross-team communications, lead special projects, improve processes using AI/productivity tools, and protect confidential information while enabling organizational efficiency.

The Staff Data Scientist will work with product teams to analyze data, identify improvement opportunities, design experiments, and create reporting dashboards to enhance contract management workflows.

Lead and grow the engineering team building Jurist, Ironclad's AI-native contract review product. Define technical vision, own full‑stack architecture (UI and backend), ensure reliability and model quality through evals and instrumentation, and partner with product, design, and domain experts to deliver explainable, trustworthy AI features. Balance hands‑on engineering (80%) with people leadership (20%).

Own product strategy and execution for growth and PLG/PLS at Ironclad. Drive acquisition, activation, onboarding, conversion, expansion, and monetization through pricing, packaging, experimentation, AI-driven engagement, and improved time-to-value. Lead cross-functional alignment, define metrics, run experiments, and launch growth capabilities to convert product engagement into enterprise adoption and retention.

Own the Contract Understanding Platform to deliver accurate extraction and connected contract representations. Set roadmap and OKRs, define APIs and schemas, improve extraction quality, build evaluation and feedback loops, work cross-functionally with engineering, applied science, design, data, legal, security, and GTM, and translate customer workflows into platform capabilities.

Lead Ironclad's Total Rewards strategy across compensation, equity, benefits, recognition, and policies. Design and administer pay programs, partner with executives and Finance/Legal on compensation planning and Board materials, stabilize compensation and benefits cycles, build governance and operating rigor, use market data and analytics to inform decisions, and build a high-performing Total Rewards team.

Lead and scale an enterprise SaaS sales organization: manage pipelines, forecasts, hiring, training, and performance of Account Executives; drive net-new acquisition and expansion in a manufacturing-focused territory; build repeatable sales processes, track growth metrics, and collaborate with Sales Leadership to meet revenue targets.

Lead and scale a Revenue Enablement team to improve seller productivity, manager effectiveness, and AI readiness. Build programs (certifications, SKO support, coaching, reinforcement) tied to measurable revenue outcomes and partner cross-functionally to align messaging and execution.