Principal Product Manager Service Intelligence Products

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here.

That’s why we offer The GEICO Pledge:
Great Company, Great Culture, Great Rewards and Great Careers.

Location:

This is a hybrid role, requiring a minimum, on‑site presence of 2 days per week at our Palo Alto or Bethesda, MD location.

The Government Employees Insurance Company (GEICO) is a private American auto insurance company with headquarters in Maryland. GEICO is a wholly owned subsidiary of Berkshire Hathaway and is the third largest auto insurer in the United States. In 2024, GEICO earned premiums worth over $43 billion U.S. dollars.

At GEICO, we’re transforming how customers engage with us across digital channels — web, mobile app and beyond. GEICO is seeking a strategic, customer‑obsessed Principal Product Manager to lead our Intelligence products portfolio—driving Next Best Action (NBA) use cases, capabilities, decisioning frameworks, and data enablement that power smart, personalized customer experiences across Service experience touchpoints. You will partner deeply across UX, product, engineering, analytics, and AI teams to envision, prioritize and accelerate AI/ML‑driven use cases to enable and deliver proactive & predictive experiences.

Additionally in this role, you will partner across data teams, along with product and engineering partners, to advance the Service product team's Data Maturity capabilities and practices. This role is ideal for a product leader who thrives at the intersection of data, AI/machine learning, and customer experience, and who can convert ambiguous problem spaces into clear, measurable, achievable product strategies.

• Define and own the product strategy for Next Best Action use cases across the Service Experience, drive their relative prioritization, and orchestrate delivery/enablement and measurement.
• Translate complex analytical, decisioning capabilities into intuitive, scalable product features that deliver business impact.
• Coordinate plans across the Service product team for testing/uptake into the Service Experience.
• Define measurement frameworks to quantify the performance and value of NBA initiatives/features.
• Facilitate alignment through clear communication, structured prioritization, and data‑informed decision making.

• Partner with enterprise data, AI/ML platform, and analytics teams to improve data accessibility, quality, and readiness for the Service Experience product team.
• Advocate for the tools, pipelines, and processes teams need to operationalize insights quickly and reliably.
• Advance the Service Experience product teams’ ability to self‑serve when it comes to data analysis & visualization needs.
• Act as the connective tissue between analytics teams, product & engineering.
• Lead by example ensuring product decisions are grounded in data, measurable outcomes, and customer value.

• Bachelor’s degree in business, engineering, computer science or related field.
• 10+ years of Product Management experience, with at least 3+ years focused on data, ML, decisioning, or analytics‑heavy products.
• Demonstrated success in delivering complex digital products/journeys in a cross‑functional, agile environment.
• Strong analytic mindset: ability to use quantitative and qualitative data to drive decisions, define and track success metrics.
• Excellent stakeholder management and communication skills; ability to influence across technical and business audiences.
• Adept at working in highly cross‑functional, matrixed environments.
• Proficiency with structured problem‑solving, hypothesis‑driven development, and experimentation frameworks.
• Deep experience defining strategy for intelligence or…