Product Operations Lead, Insurance Platform

Counterpart is an insurtech platform reimagining management and professional liability for the modern workplace. We believe that when businesses lead with clarity and confidence, they become more resilient, more innovative, and better prepared for what's ahead. That's why we  built the first Agentic Insurance™ system, where advanced AI and deep insurance expertise come together to proactively assess, mitigate, and manage risk. Backed by A rated carriers and trusted by brokers nationwide, our platform helps small businesses grow with confidence.

You'll build the systems and conditions that let a small team run a national platform: hunting bottlenecks, removing them, and making sure they don't come back, so product, underwriting, and engineering can move at the pace the company needs.

This role touches every part of how an insurance product works (coverage language, pricing, filings, distribution) and every part of how an AI native company runs. What we're looking for is operational rigor: relentless follow through, quick learning, and the judgment to keep a cross functional team on track and moving efficiently, no matter how complex the surface area gets.

• Find the biggest bottleneck in a function, fix it, then move to the next one. You'll be judged on how many you clear, not how many you document.
• Remove unnecessary steps before adding new ones.
• Use AI daily in your own work. You should be one of the heaviest AI users in the company.

• Lead new product launches from kickoff to the point where they run on their own, without you day to day.
• Translate product strategy into clear specifications for pricing, data, and engineering, so requirements don't get lost or reinterpreted.
• Set the build order with engineering and data, and hold that order when priorities compete.

• Build a simple way for underwriting and pricing experts to enter their own rules and judgment into our systems, so they don't need to route through you.
• Keep terminology consistent across every system, model, and team, and update it as the business grows.
• Set up fast, accurate feedback from policies, claims, and lost deals, so we know quickly what's working and what needs to change.

• Create and run one clear process for any change to what we sell (coverage, rules, pricing), so changes don't happen ad hoc.
• Catch problems in testing before they reach a customer.
• Move existing programs onto shared infrastructure instead of maintaining separate one off setups.

• 7+ years solving complex problems through process and product development, or a clear track record of taking on more scope and responsibility over time.
• A systems thinker who obsesses over problems and builds solutions that scale, rather than one off fixes.
• Exceptional project management and documentation skills, with the ability to run multiple workstreams at once without dropping detail.
• A self starter mindset: comfortable rolling up your sleeves in a lean, fast moving environment.
• Real, daily comfort working with AI agents (delegating to them, checking their work, improving them). You automate a task the second time you do it, not the tenth.
• Evidence of grit: something you've pushed through more than once, even when it would have been easier to stop.
• Insurance background is a plus, not a requirement. If you have exposure to policy forms, rate and rule filings, or systems like SERFF, that's a bonus, not a prerequisite.

• Tobias Schuler, Chief Underwriting Officer: After becoming a Fellow of the Casualty Actuarial Society & working as a consultant actuary at EY for several years, Tobias went on to drive the actuarial data & systems teams at QBE. He further leveraged his deep insurance & technical expertise at Munich Re Digital Partners in North America, where he headed data & analytics & oversaw the data infrastructure behind some of their largest programs.

• Dave Lin, Head of Product and Engineering: Dave has built and scaled B2B platforms at Yext, Apple, Amazon, and Hookit. He received his MS and BS in Electrical Engineering from University of California, San Diego 

• Stanley Wang, Senior Director, Pricing Analytics: Before joining Counterpart, Stanley worked as an actuary within the pricing solutions and methods team at USAA to combine actuarial pricing with data science models. Before that, he was a leading data scientist for Digital Partners, a Munich Re Company where he specialized in building data science models and insights for leading insurtech companies. He has had many other relevant roles such as capital modeling, risk management etc. He lives in New York with his growing family.
• Chris Shafer, Chief of Staff: Chris is a published scientific author, having studied the neural correlates of gratitude at the lauded Brain and Creativity Institute. He has since helped to launch numerous businesses in which he held a variety of critical roles from product management to business operations to strategic partnerships. Chris received his bachelor’s degree in Biological Sciences from the University of Southern California.

• Conjoin Expectations - it is the cornerstone of autonomy. Ensure you are aware of what is expected of you and clearly articulate what you expect of others. 
• Speak Boldly & Honestly - the only failure is not learning from mistakes. Don’t cheat yourself and your colleagues of the feedback needed when  expectations aren’t being met. 
• Be Entrepreneurial - control your own destiny.  Embrace action over perfection while navigating any obstacles that stand in the way of your ultimate goal. 
• Practice Omotenashi (“selfless hospitality”) - trust will follow.  Consider every interaction with internal and external partners an opportunity to develop trust by going above and beyond what is expected. 
• Hold Nothing As Sacred - create routines but modify them routinely.  Take the time to reflect on where the business is today, where it needs to  go, and what you have to change in order to get there. 
• Prioritize Wellness - some things should never be sacrificed. We create an environment that stretches everyone to grow and improve, which is fulfilling, but is only one part of a meaningful life.

Our estimated pay range for this role is $170,000 to $200,000. Base salary is determined by a variety of factors, including but not limited to, market data, location, internal equitability, and experience.

We are committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work—regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives. 

We are an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.