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Technical Lead Manager, AI

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Ironclad Inc.
Full Time position
Listed on 2026-07-17
Job specializations:
  • Software Development
    Backend Developer, Software Architect, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 245000 - 295000 USD Yearly USD 245000.00 295000.00 YEAR
Job Description & How to Apply Below

This is a hybrid role based out of our San Francisco office. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in‑office days for team or company events.

About the team

Jurist is Ironclad’s AI‑native contract review experience, built for the lawyers and business teams who negotiate agreements every day. It brings together first‑pass redlining, reasoning‑backed suggested changes, deviation summaries, obligation detection, and reusable playbook libraries into a single, trusted workspace for contract review and negotiation.

Jurist is one of Ironclad’s highest‑priority product surfaces, sitting at the intersection of applied AI, legal workflows, and end‑user trust. The team owns both the user‑facing product and the backend systems that power it, including document understanding, AI orchestration, clause detection, review state management, and enterprise‑scale performance.

We’re hiring a Technical Lead Manager to lead the engineering team behind Jurist and define the next generation of AI‑assisted contract review. This is a high‑impact leadership role for someone who wants to build product at the intersection of legal workflows, applied AI, and end‑user experience.

What you’ll do
  • Set the technical vision and roadmap for Jurist, spanning the full stack from user‑facing review UI to the backend systems that provide accurate, reliable AI outputs.
  • Lead architecture and execution for Jurist’s core experiences: first‑pass redlining, reasoning‑backed suggestions, deviation summaries, obligation detection, and playbook‑driven review workflows.
  • Own the end‑to‑end quality bar for Jurist, including evals, benchmarking, error analysis, regression prevention, and product instrumentation that improves accuracy and user trust over time.
  • Drive backend and platform decisions that support document understanding, AI orchestration, review state management, permissions, and enterprise‑scale performance.
  • Shape the Jurist UI and interaction model in close partnership with Product and Design, ensuring AI outputs are explainable, actionable, and trustworthy for legal and business users.
  • Partner closely with Product, Design, Legal domain experts, Services, and go‑to‑market teams to translate customer pain points into scalable product capabilities.
  • Manage and grow a team of strong engineers across frontend and backend, balancing speed, technical rigor, and product judgment.
  • Establish strong engineering practices across design reviews, technical planning, experimentation, rollout safety, and operational excellence.
Experience and leadership
  • 5+ years of experience architecting, building, and operating complex software systems in production.
  • 2+ years of technical leadership or engineering management experience, including mentoring and growing high‑performing teams.
  • A strong track record of shipping ambiguous, zero‑to‑one or one‑to‑scale products where product and technical direction evolved quickly.
  • High agency and strong product instincts; you know when to go deep technically and when to simplify.
Technical depth
  • Experience building and owning user‑facing products end‑to‑end, including both the UI layer and the backend systems that support it.
  • Deep backend and distributed systems experience, especially in systems that need to be reliable, observable, secure, and scalable.
  • Hands‑on fluency with modern applied AI systems, including LLM orchestration, retrieval patterns, prompt and workflow design, model evaluation, and production quality controls.
  • Experience building user‑facing AI products where accuracy, explainability, and trust materially affect adoption.
  • Comfort working across application, platform, and infrastructure layers.
  • Familiarity with modern web and cloud stacks. Our teams commonly work in Type Script, React, Node.js, Docker/Kubernetes, and Google Cloud, though direct experience in our exact stack is not required.
Product mindset
  • You care deeply about building tools users love, not just systems that technically work.
  • You can translate domain complexity into intuitive product behavior and clear engineering priorities.
  • You enjoy close collaboration with…
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