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Technical Lead Manager, AI Platform

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listing for: We Love AI Jobs
Full Time, Remote/Work from Home position
Listed on 2026-10-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Project Mgr/ Lead, Software Architect, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 188000 - 235000 USD Yearly USD 188000.00 235000.00 YEAR
Job Description & How to Apply Below
# Technical Lead Manager, AI Platform Ironclad San  Francisco (Hybrid)
Full-time $188,000 – $235,000 / year Upload your resume once and Scout applies for you Apply with Scout Share this job:

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Leads 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 expertise

Generative AILLM systems

Machine learningNLPDocument understanding

Search and retrieval

Agent 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 compares

Compared 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 description

Build 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  or follow us on Linked In.About the role

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.

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…
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