Lead product strategy and execution for new insurance and non-insurance product bets, from concept through launch and scaling.
Locations (4)
Palo Alto, California, United States
New York City, New York, United States
Chicago, Illinois, United States
Toronto, Ontario, Canada
Compensation
The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants.
Responsibilities
Drive progress across new product bets such as motorcycle, home, boat, and RV insurance.
Ramp quickly on new domains, distill data and insights to prioritize high-leverage opportunities.
Build and ship new products, gather customer feedback, iterate, and scale.
Own product roadmap and execution from early concept to product-market fit.
Enterprise architect, technical debugger, engineering liaison and technical delivery manager for AI solutions at Google Cloud.
Responsibilities
Partner with Account teams and Practice Customer Engineer during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.
Lead upfront technical design for enterprise-grade AI solutions, ensuring seamless and secure integration of models, agents, and connectors into existing customer data pipelines, identity providers, and compliance boundaries.
Dive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.
Serve as the definitive liaison to core Product and Engineering teams, troubleshooting systemic deployment blockers and translating real-world field feedback into actionable feature requests.
Steer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer-facing teams.
Requirements
Bachelor’s degree or equivalent practical experience
Nice to have: deep technical problem solving
Nice to have: diagnosing bugs
Nice to have: executive communication
Nice to have: presenting to technical stakeholders or executive leaders
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Responsibilities
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Collaborate with the Autonomy Engineering team to support all aspects of ground vehicle autonomy, including the calibration and integration of perception, planning, navigation, and control systems
Assist with workshop management by ensuring appropriate consumables are stocked, tools are operational, and the workspace is well maintained
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