Senior Product Manager
New
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QuanataInsurTech
You may work from anywhere you like in the U.S, excluding U.S. territories., 9AM - 2PM Pacific time core meeting hours.Full-TimeSenior
Salary$210,000 to $280,000
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Job Details
- Required Skills
- AgileArtificial IntelligenceProduct ManagementSCRUMRESTful APIsData modeling
Requirements
- Bachelor’s degree or an equivalent combination of education and relevant experience.
- Proven experience partnering directly with engineering, design, and QA teams.
- Demonstrated ability to lead cross-functional teams and navigate multi-stakeholder environments, build consensus, and make timely decisions.
- Strong understanding of software development in at least two of these areas: cloud-based infrastructure, API/backend services, or data platforms/data science.
- Experience leveraging AI to create repeatable workflows that support decision-making and accelerate product delivery.
- Strong analytical, quantitative, and problem-solving skills.
- Excellent written and verbal communication skills.
- Comfortable operating effectively in a distributed work environment.
- Experience building insurance platforms and strong understanding of the policy lifecycle, integrations, data modeling, pricing, and underwriting.
Responsibilities
- Lead cross-functional collaboration with Engineering, Data Science, and domain teams to solve complex product and technical challenges.
- Drive product discovery across ambiguous, multi-workstream initiatives, using qualitative and quantitative insights to test assumptions.
- Own Agile product delivery, including goals, priorities, trade-offs, scope, and backlog management across Scrum and Kanban environments.
- Evaluate build-versus-buy options and recommend approaches that balance product needs, delivery timelines, and cost.
- Guide technical design discussions, identify dependencies, and consider performance, scalability, security, and architectural quality.
- Coordinate development efforts, timelines, and deliverables across product owners, project managers, program managers, and scrum masters.
- Use data and evidence to prioritize work, measure outcomes, and build a strong culture of measurement and informed decision-making.
- Communicate product strategy, priorities, and roadmap clearly while keeping day-to-day execution aligned with broader strategic objectives.
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