Technical Lead Manager, AI
$245k - $295k • San Francisco • FullTime
Posted 3mo ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Engineer
About the job
Ironclad is seeking a Technical Lead Manager to lead the engineering team behind Jurist, their AI-native contract review experience. This is a high-impact leadership role focused on defining the next generation of AI-assisted contract review. The Jurist team owns both the user-facing product and the backend systems, working at the intersection of applied AI, legal workflows, and end-user trust. The role involves setting technical vision, leading architecture and execution for core experiences, owning the end-to-end quality bar, and driving backend and platform decisions for enterprise-scale performance.
Responsibilities
- Set the technical vision and roadmap for Jurist, covering the full stack from UI to backend AI systems.
- Lead architecture and execution for core Jurist experiences like redlining, reasoning-backed suggestions, and obligation detection.
- Own the end-to-end quality bar for Jurist, including evaluations, benchmarking, and error analysis.
- Drive backend and platform decisions for document understanding, AI orchestration, and enterprise-scale performance.
- Shape the Jurist UI and interaction model in partnership with Product and Design.
- Partner with Product, Design, Legal, Services, and go-to-market teams to translate customer needs into product capabilities.
- Manage and grow a team of frontend and backend engineers.
- Establish strong engineering practices across design reviews, technical planning, 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 teams.
- Proven track record of shipping ambiguous, zero-to-one or one-to-scale products.
- High agency and strong product instincts.
- Experience building and owning user-facing products end-to-end, including UI and backend systems.
- Deep backend and distributed systems experience, focusing on reliability, observability, security, and scalability.
- 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 are critical.
- Comfort working across application, platform, and infrastructure layers.
- Familiarity with modern web and cloud stacks (e.g., TypeScript, React, Node.js, Docker/Kubernetes, Google Cloud).