About the role

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 www.ironcladapp.com http://www.ironcladapp.com or follow us on LinkedIn. 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. Base Salary Range: The base salary ra