Technical Lead Manager (AI Platform)
Ironclad
United States Posted October 22, 2026
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Salary Range
$188,000 - $235,000
Job Description
Join our team as a Technical Lead Manager for our AI Platform. In this role, you will lead a team of engineers in building production generative AI systems. You will set the technical direction for the team, own the technical roadmap and quality bar, and partner with product management to translate customer and business needs into technical deliverables. You will also contribute directly to technical output, uphold engineering standards, manage prioritization and tradeoffs, and hire, mentor, and develop engineers.
- 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, and personally contribute direct technical output.
- Manage prioritization and tradeoffs across competing priorities, and coordinate closely with adjacent teams whose work depends on yours.
- Track record of hiring, mentoring, and growing engineers, and of navigating performance and leveling conversations directly
- 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
- Strong technical background in generative AI / LLM-based systems, with enough expertise to provide the technical depth and direction where the team needs
- 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
- Proven experience leading engineering teams as a manager, with a track record of shipping production systems
- Familiarity with canary rollouts for ML/LLM systems
- Experience scaling a team through a significant architectural transition
Required Skills
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