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Hippo Insurance

Lead Product Manager, AI

Posted 4 Days Ago
Easy Apply
In-Office or Remote
9 Locations
160K-230K Annually
Senior level
Easy Apply
In-Office or Remote
9 Locations
160K-230K Annually
Senior level
The Lead Product Manager, AI will identify and build AI-powered products, drive growth and customer experience, and collaborate with cross-functional teams.
The summary above was generated by AI

Title: Lead Product Manager, AI 

Location: Austin, TX / San Jose, CA (Hybrid) 

Reporting to: Chief Product Officer 

About Hippo: 

Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We’ll also help you find coverage for everything life brings—from auto to flood—reimagining how you care for your home. 

About This Role: 

Hippo is looking for a Lead Product Manager, AI to identify, build, and scale high-impact AI-powered products across our business — driving growth, operational excellence, and seamless customer experiences. 

This is a hands-on, 0→1 builder role. You’ll work with small, scrappy cross-functional teams to move quickly from problem discovery to prototype to production. Success in this role means shipping real AI solutions, learning fast, and translating emerging technology into measurable business impact. 

You’ll partner closely with Product, Engineering, Data, Operations, and Business teams to ensure AI is deployed responsibly, transparently, compliantly, and effectively. 

You will be the champion and evangelist of AI internally with both technical and non-technical teams to continue to unlock more use cases and value across the organization. 

If you are passionate about harnessing AI to transform operations, risk management, and customer experiences into best-in-class capabilities, this is the role for you. 

What You'll Do: 

  • Identify and own high-impact AI opportunities across Hippo’s products and operations, grounded in real customer and business problems across service, claims, underwriting, finance, product teams, and end-customers 
  • Build and ship AI-powered products — working hands-on with engineers, data scientists, and third-party tools to prototype, test, deploy, and iterate in production 
  • Lead end-to-end product execution, from problem framing and success metrics through launch, adoption, and continuous improvement 
  • Make smart build vs. buy decisions and define MVP scopes that balance speed, quality, and long-term scalability 
  • Design effective human-AI workflows that are intuitive, trustworthy, and aligned with how teams actually work 
  • Champion responsible AI practices, partnering with the AI Committee to ensure transparency, explainability, and compliance 
  • Evangelize and build momentum through delivery, then help teams adopt and extend successful AI solutions across the organization 

Must Haves: 

  • 6+ years of product management experience in building high-impact products and features, with at least 1 years of working with AI products. 
  • 2+ years of product management experience in insurance or other regulated financial services.  
  • Demonstrated ability to translate ambiguous business problems into shipped solutions with measurable impact 
  • Comfort rolling up their sleeves to shape MVPs, workflows, experiments, and early production systems 
  • Thinks end-to-end from data inputs to model outputs to user experience and business outcomes 
  • Passion for emerging technologies and hands-on experience with latest AI models & tools. Excited to help Hippo build trust-centered AI experiences. 
  • Experience shipping products from early concept through launch and iteration in real-world environments 
  • Strong understanding of the AI/ML product lifecycle (data readiness, modeling, deployment, monitoring, iteration) 
  • Bachelor’s degree in Computer Science, Data Science, Statistics, or equivalent practical experience 

Nice to Haves: 

  • Advanced degree (MS or MBA) 
  • Experience with AI governance, model risk management, or explainability frameworks 
  • Insurance certifications (CPCU, ARe) or analytics certifications 

Benefits and Perks 

Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we’re fortunate to provide all of our Hippos with: 

  • Healthy Hippos Benefits - Multiple medical plans to choose from and 100% employer covered dental & vision plans for our team members and their families. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP) 
  • Equity - This position is eligible for equity compensation  
  • Training and Career Growth - Training and internal career growth opportunities 
  • Flexible Time Off - You know when and how you should recharge 
  • Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers 
  • Hippo Habitat - Snacks and drinks available and catered lunches for onsite employees 

The SF Bay Area base pay range for this role is $160,000 - $230,000. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands.  

Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion.  

Hippo’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo’s People Team to make the need for an accommodation known. 

Hippo CCPA

Top Skills

AI
Data Science
Machine Learning
Product Management Tools
HQ

Hippo Insurance San Jose, California, USA Office

We are located in downtown Palo Alto, just two blocks from University Avenue, one of the liveliest streets in Silicon Valley.

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