Ironclad is the #1 contract lifecycle management platform for innovative companies. Every company, in every country, in every industry runs on contracts, but managing these contracts slows companies down and costs them millions of dollars. L’Oréal, Staples, Mastercard, and other leading innovators use Ironclad to collaborate and negotiate on contracts, accelerate contracting while maintaining compliance, and turn contracts into critical carriers of operational business intelligence. It’s the only platform flexible enough to handle every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA.
Ironclad is writing the narrative that shows how beautiful and functional contracting will change business. We’re a leader in the Forrester Wave for Contract Lifecycle Management. We have been recognized as a Fortune Great Place to Work for four consecutive years. Our innovation and work culture have been recognized by Glassdoor's Best Places to Work 2023, Forbes’ 50 Most Promising AI Companies, Wing Venture Capital's Enterprise Tech 30, and Gartner's Magic Quadrant. We work in a highly collaborative environment, and strive to foster a positive, inclusive culture. We’re backed by leading investors like Accel, Y Combinator, Sequoia, and BOND. For more information, visit www.ironcladapp.com or follow us on LinkedIn and Twitter.
About this Role:
Contracts are more than documents, they’re some of the most valuable sources of business intelligence in the enterprise. Ironclad’s AI Classification team sits at the center of transforming these static records into structured, actionable insights that drive critical business decisions. This product leader will define and execute Ironclad’s AI strategy for data classification, search, and language understanding, a task that is at the center of our long-term vision.
As Staff Product Manager, you’ll be responsible for improving the performance and adoption of core AI features, with a focus on classification and search. In addition to these core areas of ownership, you’ll act as the owner of our AI platform, partnering closely with our world-class engineering, ML, and design teams to build the underlying infrastructure, tooling, and UX patterns that power AI features across Ironclad.
The successful candidate will be able drive short term delivery alongside the infrastructure investments needed to support long-term experimentation and velocity. You’ll be a systems thinker who can build processes that unlock the potential of those around you and a key figure as we bring a customer-centric focus to even the most technical decisions.
Own the roadmap for core AI-powered product experiences across Ironclad, including data extraction/classification, verification flows, and natural language search.
Deliver meaningful customer outcomes through iterative shipping of improved models & AI performance.
Build foundational infrastructure for scalable model deployment, online/offline monitoring, and performance tuning.
Partner with AI/ML, data science, and MLOps to ensure healthy model development and rapid experimentation cycles.
Lead the efforts to define our approach to RAG (retrieval-augmented generation) and agent graphs, ensuring our application teams have access to the latest tools and techniques.
Run your team in a way that is conducive to high-velocity AI work, blending agile practices with research-centric iterations.
Align product vision with broader company objectives through clear storytelling, cross-functional collaboration, and consistent stakeholder engagement.
Drive adoption and trust in AI by co-owning user-facing education, customization experiences, and accuracy validation loops.
8+ years of product management experience, with a track record of shipping high-impact technical products.
Experience building or scaling core AI/ML capabilities. Ideally in an Enterprise Saas environment where privacy and compliance were critical considerations.
Strong technical acumen and ability to partner deeply with engineers, data scientists, and platform teams.
Proven ability to manage ambiguity, make strategic trade-offs, and operate with high ownership.
Excellent communication and organizational skills—you can translate between customer value and ML architecture with clarity and influence.
Bonus: experience building search products, RAG applications and/or multi-agent architectures.
In 6 months, you:
Have built strong XFN relationships and are running high-performing agile rituals within your team.
Have ramped rapidly onto the existing roadmap and have launched, or are on track to launching, our major customer facing commitments for 2025
Taken ownership of the team’s longterm roadmap and delivered a vision that balances immediate customer value with longer-term platform investments.
In 12 months, you’re:
Leading a motivated and innovative team shipping AI model improvements (either via new models or improved performance on existing models) on a regular and accelerated cadence.
Partnering across the organization to power effective development and adoption of AI features in other product areas.
Driving visibility for Ironclad’s AI capabilities in the market and among analysts.
Benefits:
Health, dental, and vision insurance
401k
Wellness reimbursement
Take what you need vacation policy
Generous parental leave for both primary and secondary caregivers
Base Salary Range: $170,000 - $210,000
The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Yearly based
San Francisco
