Technical Lead Manager, Ironclad

• Proven experience leading engineering teams as a manager, with a track record of shipping production systems
• Strong technical background in generative AI / LLM-based systems, with enough expertise to provide the technical depth and direction where the team needs
• Able to work directly as a technical contributor, creating design and implementing solutions
• Experience operating production ML/LLM systems: eval-driven development, monitoring for both reliability and output quality, and staged rollouts
• Past experience in one or more of the following areas: NLP, content/document understanding, search/retrieval, Agent framework or LLM training infra/frameworks
• Track record of hiring, mentoring, and growing engineers, and of navigating performance and leveling conversations directly
• Strong cross-functional partnership skills — comfortable setting a technical roadmap in a room with product, other engineering leads, and company leadership
• Comfortable operating in a dynamic, fast-paced, outcome-driven environment with real ambiguity in scope

Desirable

• We're looking for a Tech Lead Manager to lead a team of engineers building production generative AI systems
• You'll combine hands-on technical leadership with people management, setting the technical direction for the team while growing the engineers on it
• Lead and grow a team of engineers, balancing hands-on technical leadership with people support
• Own the technical roadmap and quality bar for your team's systems
• Own the business outcome. Partner with product management and work across teams to translate customer and business needs into technical deliverables
• Personally contribute direct technical output: write design docs, drive key architectural decisions, and write production code yourself for the highest-leverage or highest-risk problems
• Stay close to the architecture and technical details of what your team builds well enough to review design decisions, unblock engineers, and make prioritization calls
• Set and uphold engineering standards: code quality, testing, eval-driven development, and production monitoring for both reliability and output quality
• Manage prioritization and tradeoffs across competing priorities, and coordinate closely with adjacent teams whose work depends on yours
• Hire, mentor, and develop engineers; run performance and career development for direct reports