Lead a team of engineers to build production generative AI systems at Ironclad.
Posted by employer 2 weeks ago
First seen on Joblaze 1 month ago
Last verified on the company career page 6 days ago
Skills & Technologies
What you'll build
Must have
Nice to have
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
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
Quick facts
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.
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.
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.
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.
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.