Technical Lead Manager, AI Platform
$188k - $235k • San Francisco • FullTime
Posted 1d ago
About the job
Ironclad is seeking a Technical Lead Manager to lead a team of engineers focused on building production generative AI systems. This role combines hands-on technical leadership with people management, involving setting the technical direction for the team and fostering engineer growth. The team will own the technical roadmap and quality bar for their systems, partnering with product management to translate business needs into technical deliverables. The Tech Lead Manager will also contribute directly through design documents, architectural decisions, and writing production code for critical problems. A key aspect of the role is staying deeply involved in the team's architecture and technical details to effectively review designs, unblock engineers, and make prioritization calls, while also setting and upholding high engineering standards for code quality, testing, and production monitoring.
Responsibilities
- Lead and grow a team of engineers, balancing technical leadership with people management.
- Own the technical roadmap and quality bar for the team's systems.
- Partner with product management to translate customer and business needs into technical deliverables.
- Contribute directly through design documents, architectural decisions, and production code.
- Review design decisions, unblock engineers, and make prioritization calls.
- Set and uphold engineering standards for code quality, testing, eval-driven development, and production monitoring.
- Manage prioritization and tradeoffs across competing priorities.
- Coordinate closely with adjacent teams.
- Hire, mentor, and develop engineers, managing performance and career development.
Requirements
- 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.
- Ability to work directly as a technical contributor, creating designs and implementing solutions.
- Experience operating production ML/LLM systems, including eval-driven development, monitoring, and staged rollouts.
- Past experience in NLP, content/document understanding, search/retrieval, Agent frameworks, or LLM training infra/frameworks.
- Track record of hiring, mentoring, and growing engineers.
- Strong cross-functional partnership skills.
- Comfortable operating in a dynamic, fast-paced, outcome-driven environment with ambiguity.
Benefits
- Equity awards
- Competitive health and wellness benefits
- 100% health coverage for employees (medical, dental, and vision)
- 75% coverage for dependents with buy-up plan options
- Market-leading leave policies, including gender-neutral parental leave and compassionate leave
- Family forming support through Maven
- Paid time off
- Monthly stipends for wellbeing, hybrid work, and cell phone use
- Mental health support through Modern Health
- Pre-tax commuter benefits
- 401(k) plan with employer match