Technical Lead Manager, AI

Responsibilities

• Set the technical vision and roadmap for Jurist, spanning the full stack from user-facing review UI to the backend systems that power 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.

Requirements

• 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.
• 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; know when to go deep technically and when to simplify.
• 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 (TypeScript, React, Node.js, Docker/Kubernetes, and Google Cloud experience is a plus).
• Deep care about building tools users love, not just systems that technically work.
• Ability to translate domain complexity into intuitive product behavior and clear engineering priorities.
• Enjoy close collaboration with product managers, designers, researchers, and customer-facing teams to iterate quickly on new capabilities.
• Think about the full user journey, from the moment a reviewer opens a contract to the moment it's signed.

Nice-to-Haves

• Experience at the intersection of legal workflows, applied AI, and end-user experience.
• Prior work with contract review, redlining, obligation detection, or playbook libraries.

Compensation

• Base Salary Range: $245,000 - $295,000 (San Francisco headquarters; actual offer depends on experience and location).
• Equity awards (new hire grant + additional opportunities).
• 100% health coverage for employees (medical, dental, vision); 75% for dependents.
• Market-leading leave policies including gender-neutral parental leave.
• Family forming support through Maven.
• Paid time off.
• Monthly stipends for wellbeing, hybrid work, and cell phone.
• Mental health support through Modern Health.
• 401(k) with employer match.
• Regular team events.