Product Manager

Reserv is an insurtech creating and incubating cutting-edge AI and automation technology to bring efficiency and simplicity to claims. Founded by insurtech veterans with deep experience in SaaS and digital claims, Reserv is venture-backed by Bain Capital and Altai Ventures and began operations in May 2022. We are focused on automating highly manual tasks to tackle long-standing problems in claims and set a new standard for TPAs, insurance technology providers, and adjusters alike. We have ambitious (but attainable!) goals and need people who can work in an evolving environment. If building a leading TPA and the prospect of tackling the long-standing challenges of the claims role sounds exciting, we can't wait to meet you.

Candidates must reside in an eligible U.S. state throughout employment. We are unable to hire candidates residing in California, Alaska, Hawaii, U.S. territories, or outside the United States.

We need you to do all the things typical to the role:

• Minimum of 5 years of experience in product management, with a focus on data-driven products, ideally in the insurance or financial services industry.
• Familiarity with data architecture, data management, and analytics platforms, with a proven ability to work closely with engineering teams.
• Experience managing products in an Agile environment, including writing user stories, managing backlogs, and facilitating sprint planning sessions.
• Experience in managing end-to-end product life cycles, including developing and prioritizing product roadmaps and ensuring alignment with business goals.
• Strong analytical and critical thinking skills, with the ability to make data-informed decisions in fast-paced environments.

As the Senior Product Manager, Data at Reserv, you will be at the forefront of driving the

development and innovation of our data-centric products. Working at the intersection of

business, technology, and customer experience, you will be responsible for managing data

products that support our insurance services and operations. You will lead the strategy,

execution, and delivery of data solutions, leveraging insights to improve decision-making,

enhance operational efficiency, and provide value to our customers.

In this role, you will collaborate closely with engineering, data science, operations, and business

teams to ensure our data products align with the company’s goals. You will oversee the product

lifecycle, from gathering requirements to launching new features, and continuously optimize

product performance to meet evolving market needs.

• Data-Driven: You possess strong data analytics skills, using data to inform product decisions and measure success, with experience in business intelligence tools and performance metrics.
• Technically Proficient: You understand data architecture, analytics platforms, and are comfortable working with engineering teams to build robust data solutions.
• Customer-Focused: You have a customer-centric approach, gathering insights and transforming them into product features that enhance customer experience and drive value.
• Strategic Thinker: You have the ability to align product strategy with business objectives, identifying opportunities for innovation and growth within the data landscape.
• Agile Practitioner: You are experienced in Agile methodologies, able to manage backlogs, lead sprint planning, and work effectively in a fast-paced, dynamic environment.
• Collaborative Leader: You work well with cross-functional teams, influencing stakeholders at all levels and fostering a collaborative environment to achieve product goals.
• Excellent Communicator: You have strong communication skills, able to articulate complex concepts and product visions to both technical and non-technical stakeholders.
• Problem Solver: You are skilled at analyzing problems, identifying solutions, and making data-informed decisions to drive product success.
• Adaptable & Innovative: You thrive in an evolving environment, staying up-to-date with the latest industry trends and technologies to keep products competitive.