Technical Lead Manager, AI Platform

We Love AI Jobs; San Francisco (CA); Hybrid; USD 188,000 - 235,000; Full time

Job summary

Ironclad is seeking a Technical Lead Manager for AI Platform in San Francisco. Hybrid, full-time role focusing on leading a team building production generative AI systems and owning the technical roadmap while contributing code for high-impact problems.

You will design and review high-leverage architectures, set standards for testing, monitoring, and rollout, and partner across teams to translate customer needs into technical deliverables.

Qualifications

• Proven experience leading engineering teams and shipping production systems.
• Strong technical background in generative AI/LLM-based systems with deep technical depth.
• Experience operating production ML/LLM systems: evaluation, monitoring, and staged rollouts.

Responsibilities

• Lead and grow a team of engineers, balancing management with hands-on technical work.
• Own the technical roadmap and quality bar for your team's systems.
• Contribute direct technical output: design docs, architecture decisions, and code for high-leverage problems.

Skills

Generative AI

LLM systems

ML

NLP

Document understanding

Search and retrieval

Agent frameworks

LLM training infra

Job description

# Technical Lead Manager, AI PlatformIroncladSan Francisco (Hybrid)Full-time$188,000 – $235,000 / yearUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageLeads a team building production generative AI systems for Ironclad’s contract platform. The role combines hands-on architecture and coding with roadmap ownership, cross-functional delivery, and people management.* Permanent* Hybrid### Skills and expertiseGenerative AILLM systemsMachine learningNLPDocument understandingSearch and retrievalAgent frameworksLLM training infrastructure### Key responsibilities* Lead and develop engineers while setting the team’s technical direction and roadmap.* Design, review, and implement production systems, including high-impact architecture and code.* Set standards for evaluation, testing, monitoring, reliability, and staged rollouts.## How this job comparesCompared with 57 open manager machine learning jobs on October 10, 2026.Pay: This job pays $188K to $235K a year. The 24 open manager machine learning jobs that publish US pay start at $219K on average, so this job starts about 14% lower.Similar open jobs: We Love AI Jobs lists 57 open manager machine learning jobs at 23 companies.Remote work: This job is hybrid. 6 of the 57 manager machine learning jobs (11%) are remote.AI in this role: High. AI is the core of the work: building, training or deploying AI systems. The team builds production generative AI systems, and the manager is expected to contribute directly to their design and implementation. The role also sets evaluation and monitoring practices for ML/LLM systems.## Full descriptionBuild AI contracting at enterprise scale. Ship it fast.Ironclad is building AI on one of the most consequential datasets in enterprise software: over 2 billion contracts across thousands of the world's largest organizations. Contracts run every dollar, deal, and business relationship on the planet, and the AI transformation of this space is still largely uncharted. Engineers here are building agentic solutions to problems that haven't been solved yet, in a category that's still being defined. The feedback loop is short, the data is rich, and the people closest to the work are the ones deciding what gets built next. That ability to deliver impact quickly is why the the companies at the forefront of AI choose Ironclad to manage their contracts.We’re consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and one of Fast Company’s Most Innovative Workplaces. Ironclad has also been named to Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit www.ironcladapp.com or follow us on LinkedIn.About the roleWe'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.What you'll do• 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.What we're looking for• 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.Great to have• Experience scaling a team through a significant architectural transition.• Familiarity with canary rollouts for ML/LLM systems.Base Salary Range:The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.