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Technical Lead Manager, AI Platform

Lead a team of engineers to build production generative AI systems at Ironclad.

Location
San Francisco
Compensation
Not disclosed
Level
lead
Type
full time · On-site

Posted by employer 2 weeks ago

First seen on Joblaze 1 month ago

Last verified on the company career page 6 days ago

Apply at Ironclad → Save job Scanned from ironcladapp.com

What you'll build

  • Lead and grow a team of engineers
  • Own the technical roadmap and quality bar
  • Partner with product management
  • Write design docs and production code
  • Set and uphold engineering standards

Must have

  • Proven experience leading engineering teams
  • Strong technical background in generative AI
  • Experience operating production ML/LLM systems
  • Track record of hiring and mentoring engineers
  • Strong cross-functional partnership skills

Nice to have

  • Experience scaling a team through architectural transition
  • Familiarity with canary rollouts for ML/LLM systems

Role intensity

40% coding

AI in the day-to-day

Engineers are building agentic solutions to problems that haven't been solved yet in AI contracting.

Not disclosed in this posting: compensation, years of experience, visa sponsorship.

Benefits

401k Match Unlimited PTO Equity/Stock Options Health Insurance Parental Leave

Joblaze summary

The Technical Lead Manager at Ironclad is responsible for guiding a team of engineers in developing generative AI systems for enterprise contract management. This role requires a strong technical foundation in AI and machine learning, along with hands-on coding and architectural decision-making. Ideal candidates will have experience leading engineering teams and a proven ability to mentor and grow talent in a fast-paced environment. Ironclad emphasizes collaboration across teams, making cross-functional partnership skills essential for success.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 19, 2026. Last confirmed on Ironclad's careers page November 2, 2026.
  • LLM appears in 4.4% of 91 comparable lead ai/ml roles in United States; Search appears in 1.1% of 91 comparable lead ai/ml roles in United States.

Quick facts

Is the Technical Lead Manager, AI Platform role remote?
No — this is an on-site role in San Francisco.
Where is the role based?
Ironclad is hiring for this position in San Francisco.
What's the tech stack?
Joblaze extracted these technologies from the posting: Generative AI, LLM, NLP, Retrieval, Search, content understanding.
What seniority level is this role?
Ironclad targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Technical Lead Manager, AI Platform role at Ironclad.

From the original posting

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.

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 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.


US Full-Time Employee Benefits at Ironclad:

  • 100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available

  • Pre-tax commuter benefits (US Employees)

Standard company text repeated across Ironclad's postings is omitted here.

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