Staff Software Engineer, AI - Squad Team
About the role
We are building a new elite Squad Team: a small, high-leverage engineering group focused on fast-moving, high-priority AI initiatives across Ironclad. This is not a traditional team tied to one surface area for years. Instead, the Squad Team is designed to move quickly across product and platform boundaries: incubating new AI capabilities, accelerating strategic bets, unblocking critical delivery gaps, and helping bring promising ideas from concept to production.
You will work across multiple codebases (including starting new ones) and domains, partner closely with product and engineering leaders, and help us execute some of the company’s most important AI initiatives. You should be excited about ambiguity, energized by fast context switching, and motivated by building real products that deliver customer value quickly.
What You’ll Do
- Lead the design and delivery of high-priority AI initiatives across Ironclad, from early prototype through production launch.
- Rapidly ramp into new systems, codebases, and problem areas, and drive execution with minimal hand-holding.
- Incubate new product ideas in areas such as contract AI, agentic workflows, intelligent extraction, search, and automation.
- Partner closely with product, design, legal domain experts, and go-to-market teams to turn customer needs into shipped product.
- Raise the engineering bar through strong technical judgment, crisp execution, and pragmatic use of AI-assisted development tools.
- Identify organizational or technical bottlenecks and help close them, whether by building, debugging, simplifying, or unblocking teams.
- Mentor other engineers through hands-on leadership, code reviews, technical direction, and example-setting.
- Help shape how Ironclad builds with modern AI systems, including evals, orchestration, prompting, retrieval, and production quality standards.
What We’re Looking For
- Leadership and Execution: Significant experience building and shipping production software in fast-paced environments. A strong track record of leading ambiguous, cross-functional efforts and turning them into concrete outcomes. High agency and ownership: you see gaps, form a point of view, and drive things forward. Strong bias to action, with the ability to balance speed and quality. Excellent collaboration skills and low ego; you work well by influence, not just authority.
- Technical Strength: Strong software engineering fundamentals, especially in backend systems and distributed systems. Ability to learn unfamiliar systems quickly and be productive in codebases you did not originally build. Experience building AI-powered product features, platforms, or internal developer systems. Familiarity with modern LLM application patterns such as agentic workflows, retrieval, evals, tool use, and quality/error analysis. Comfort using AI coding tools to accelerate development, while maintaining engineering rigor and sound judgment.
- Product Mindset: Strong product instinct and customer empathy. You care not just about whether a system works, but whether it solves an important user problem. Excitement about iterating quickly, learning from real usage, and improving product quality over time.
Why This Role Is Different
- The Squad Team is meant to be a force multiplier for the organization. You won’t be limited to one narrow lane. You’ll help us: incubate new AI product bets, accelerate critical initiatives, fill execution gaps where speed and technical depth matter most, bring strong engineering craftsmanship to the company’s most strategic work.
How We Work
- We believe in technical leaders who stay close to the work. This role is highly hands-on. You will spend most of your time building, designing, debugging, and driving execution, while also mentoring others and helping shape technical direction.
Tech Stack
- Our stack includes TypeScript, React, Node.js, and cloud-native infrastructure. Experience with the exact stack is less important than your ability to learn quickly, operate across systems, and ship high-quality work.
What Success Looks Like
- In this role, success means you: help launch meaningful new AI capabilities faster, unblock important initiatives across teams, elevate execution quality wherever you engage, become a trusted technical leader for high-priority, cross-cutting work, help Ironclad build durable advantage in contract AI.
Base Salary Ranges
- Staff: $210,000 - $260,000
Compensation Range
- $210K - $260K