About the job
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.
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.
Qualifications
Minimum
- 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.
- 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.
Preferred
No preferred qualifications listed.