Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year.
Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L’Oréal, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It’s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA.
We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader in our category. We’ve also been named one of Fortune’s Great Places to Work six years running, featured on Glassdoor’s Best Places to Work, and recognized by Forbes’ 50 Most Promising AI Companies.
We’re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We’d love for you to join us!
This is a hybrid role based out of our San Francisco office. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events.
Data Science at Ironclad
The Data Science role for Product Analytics combines data-driven storytelling and deep data science techniques to help drive our Product roadmap. The Product Data Scientist will work directly across the Product team and Pricing team to drive the right programs, the right investments and ensure business growth.
You will drive analytical decisions for Product. This includes feature analysis, roadmap optimization and pricing investigations. You would also provide expertise on designing A/B tests and be a thought-partner to product and pricing.
This role is cross-functional, partnering with Product, Design, Engineering, Pricing, Analytics, and Finance.
What you'll do:
Learning the Ironclad ecosystem and historical pricing paradigms in order to be a subject matter expert on the data, analysis, and modeling
Creating mathematical and data driven solutions for difficult pricing problems at scale
Be the primary partner for the Product Growth team and collaborate with Product, Engineering and Design to understand growth and optimization opportunities and to measure impact of initiatives.
Owns and drives strategic analysis to guide product roadmap and develop a holistic point on view on product direction
Design and develop core business metrics, creating insightful automated dashboards (and the necessary data pipelines) and data visualization to track progress
Lead A/B experiments, quantitative primary research and surveys such as NPS from the Data side by supporting experiment design, tracking, implementation and owning the final analysis and readout.
Provide data expertise to all data science team members through code reviews, mentorship and pairing to increase efficiency of the data science team.
Who you are:
5+ years of experience in data science and machine learning, time-series data, multivariate analysis and causal inference.
5+ years of experience in statistical experimentation methods, such as A/B testing, experimental design, power analysis and non-parametric statistics.
Deep experience in Product and Pricing analysis.
Experience in SQL, statistical modeling platforms (Python), data modeling, machine learning algorithms, and data science techniques.
Experience managing analytics projects from creation to delivery, including developing structured solutions.
You are an extraordinary communicator and project manager. You have the ability to prioritize projects and clearly communicate timelines to your team and stakeholders.
Benefits at Ironclad:
100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available
Market-leading leave policies, including gender-neutral parental leave and compassionate leave
Family forming support through Maven for you and your partner
Paid time off - take the time you need, when you need it
Monthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use
Mental health support through Modern Health, including therapy, coaching, and digital tools
Home office setup stipend to make your space work for you
Pre-tax commuter benefits (US Employees)
401(k) plan with Fidelity (US Employees)
Regular team events to connect, recharge, and have fun
And most importantly: the opportunity to help build the company you want to work at
Base Salary Range:
Senior Data Scientist - Product Analytics: $150,000 - $170,000
Staff Data Scientist - Product Analytics: $180,000 - $200,000
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.