Principal Product Manager [Remote-US]

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About Us

Quanata is on a mission to help ensure a better world through context-based insurance solutions. We are an exceptional, customer centered team with a passion for creating innovative technologies, digital products, and brands. We blend some of the best Silicon Valley talent and cutting-edge thinking with the long-term backing of leading insurer, State Farm.

Learn more about us and our work at quanata.com   Our Team   From data scientists and actuaries to engineers, designers and marketers, we’re a world class team of tech-minded professionals from some of the best companies in Silicon Valley, and around the world.  We’ve come together to create the context-based insurance solutions and experiences of the future.  We know that the key to our success isn't just about nailing the technology—it’s hiring the talented people who will help us continue to make a quantifiable impact.

The role

We’re looking for an accomplished and well-rounded Principal Product Manager to support our Product Delivery teams and create innovative products and services which deliver value back to State Farms.  You will collaborate with a cross-functional team in bringing data science research findings to life by delivering innovative solutions to tough insurance problems.  Success in the role includes: (1) partnering with our Data Team and State Farm customers to design innovative new services; (2) working with Quanata Engineering teams and State Farm business and engineering to deliver these services into production.

Your day-to-day

• With minimal oversight effortlessly manage complex cross-portfolio initiatives with a diverse set of stakeholders
• Manage client relationships and expectations, ensure the products Quanata builds are meeting their needs, and contribute to the “sale” of new products and services with executives
• Contribute to building Product team culture around customer obsession, experimentation, MVP-style thinking and iteration, etc
• Collaborate with data engineering, data science, security and insurance leads and product owners on detailed and complex requirements
• Understand the business context of features, work to estimate size and impact of competing projects with partner teams to prioritize accordingly
• Leverage a solid technical understanding of data science and data engineering architecture to help drive technical design discussions, understand technical dependencies and communicate requirements to your team
• Manage scope, balance trade-offs, define goals, set priorities and oversee a backlog of features from story to acceptance throughout the Agile software development lifecycle.
• Create short- and long-term roadmaps that balance near-term features needs with platform capabilities 
• Make and communicate decisions based on data and evidence; enable data collection for analysis
• Communicate strategy, priorities, and roadmap to all relevant participants and stakeholders
• Contribute to a Product team culture of iterating on both products and processes

About you

• Bachelor’s degree or equivalent relevant years of experience
• 10- 12 years experience building B2C or B2B products working with a team of engineers, designers and QA 
• Strong understanding of software development in at least two of the following areas: cloud-based infrastructure, API and back end services, data science/machine learning
• Knowledge of insurance fundamentals and practices a plus
• Experience working in an Agile Scrum or Kanban environment as a Product Manager
• Comfortable with a multi-stakeholder environment, creating consensus and making timely decisions as needed
• Excellent written and verbal communication skills
• Comfortable operating in a distributed work environment

Bonus points

• Job specific:  Experience working with a wide range of personal lines and commercial lines insurance products and configurations.
• Job specific:  Experience with data science modeling and machine learning practices.

Salary: $270,000 - $348,000

*Please note that the final salary offered will be determined based on the selected