Preparation for Gravie should be grounded in the intersection of technical proficiency and business acumen. You must demonstrate that you can manage the "how" (engineering execution) just as effectively as the "why" (business value).

Product Strategy & Execution – This criterion evaluates your ability to manage the full lifecycle of a product. You should be prepared to discuss how you define success, manage backlogs, and pivot when the data suggests a change in direction.

Technical Communication – You will be evaluated on your ability to bridge the gap between technical teams and business stakeholders. Strong candidates can simplify complex data architecture concepts without losing the nuance required for decision-making.

Stakeholder Management – Given the collaborative nature of Gravie, your ability to build relationships across the organization is critical. Focus on examples where you navigated conflicting priorities and achieved alignment through transparency and clear communication.

The Gravie interview process is designed to evaluate both your technical depth and your alignment with their high-performance, mission-driven culture. Typically, you will begin with a recruiter screen to assess your interest and background, followed by one or more interviews with department managers. The process is focused on identifying candidates who are not just skilled, but are also "opinionated but kind" and capable of thriving in a fast-paced environment.

Expect a process that moves from high-level fit to specific, project-based discussions. Because the company values merit-driven outcomes, you should be prepared to discuss your past projects in detail, focusing on the specific metrics you moved and the challenges you overcame.

The timeline above represents a standard progression, but candidates should note that internal hiring timelines can be fluid. Use this time to prepare deep-dive examples for each of your key projects, as the interviewers will likely double-click on your specific contributions.

Data-Driven Decision Making

This is the heartbeat of the Product Manager - Reporting role. You must demonstrate that you don't just use data to support decisions, but that you use it to discover them.

Be ready to go over:

• Metric Selection: How you choose the right KPIs to track business health.
• Data Integrity: Your process for ensuring the accuracy of the data being presented to stakeholders.
• Visualization Strategy: How you make complex datasets accessible for non-technical users.

Example questions or scenarios:

• "Walk me through how you’ve designed a dashboard that changed a leadership team's decision-making process."
• "What is your approach to cleaning and validating data before it reaches a production-level report?"

Agile Leadership

You will be evaluated on your ability to keep an engineering team moving effectively while managing stakeholder expectations.

Be ready to go over:

• Backlog Grooming: How you keep a "healthy" backlog that prioritizes business value.
• Roadmap Management: Balancing long-term vision with short-term, high-priority fixes.
• Roadblock Removal: Your specific tactics for helping engineers stay unblocked.

Example questions or scenarios:

• "How do you handle a situation where a stakeholder demands a feature that wasn't in the original scope?"
• "Describe your process for writing user stories that provide enough context for engineering without being overly prescriptive."

As a Product Manager - Reporting, your primary deliverable is the "actionable insight." You will own the roadmap for reporting and data products, which means you are responsible for the entire lifecycle—from identifying a business need to ensuring the final product is reliable, accurate, and scalable.

You will spend a significant portion of your time partnering with cross-functional leaders to understand their goals. This is not a "gather requirements and leave" role; you are expected to be a consultant to these teams, helping them understand what is possible with their data. Simultaneously, you will act as a bridge to the engineering team, ensuring they have clear requirements and a well-prioritized backlog. You will own the quality of the output, meaning you must be comfortable with formal QA processes and monitoring the health of your products post-launch to drive continuous improvement.

Gravie is looking for candidates who possess a blend of analytical rigor and product intuition. You need at least 4 years of product management experience, specifically in delivering complex, data-driven products.

• Must-have skills:
• Proficiency in SQL and experience with data visualization tools like Tableau or Power BI.
• Proven experience in an Agile environment, including writing epics and user stories.
• Strong stakeholder management skills, with the ability to communicate with both technical and non-technical audiences.
• Nice-to-have skills:
• Technical familiarity with AWS Redshift or similar cloud data warehouses.
• Experience in healthcare-related data, such as claims or clinical data.
• Exposure to AI/ML technologies and their practical application in business.

Q: How long does the interview process typically take? While it varies, you should anticipate a timeline of 3–5 weeks. Keep in mind that Gravie values a high-performance culture, so they may move quickly when they find the right candidate, but communication can occasionally be slower than anticipated.

Q: Is the technical assessment difficult? The technical component is focused on your practical application of data skills, such as SQL and data visualization strategy. If you are comfortable with real-world data application and can explain your reasoning, you will find the assessment manageable.

Q: What is the most important trait for a successful candidate? "Outcome-oriented" is a core competency at Gravie. Successful candidates focus on the impact of their work on the business and the end-user rather than just the completion of tasks.

Q: Are there opportunities for remote work? Gravie maintains a high-collaboration environment. Be sure to clarify the specific location expectations for this role during your recruiter screen, as they may have specific requirements for Minneapolis-based collaboration.

• Own your narrative: When discussing past failures, focus on what you learned and how you changed your process. Gravie values growth-minded individuals.
• Bring your curiosity: Ask thoughtful questions about the company’s data architecture and the specific business challenges their internal teams are currently facing.
• Be authentic: The company emphasizes being your "authentic self." Don't try to provide "textbook" answers; provide answers that reflect your personal experience and professional philosophy.
• Practice data storytelling: When explaining a project, start with the business problem, move to the data insight, and finish with the impact. This structure is highly effective for this role.

The Product Manager position at Gravie is a high-visibility, high-impact opportunity to influence the future of healthcare benefits. By focusing your preparation on data-driven decision-making, technical communication, and your ability to thrive in a collaborative environment, you will be well-positioned to stand out.

Use the insights provided here to structure your stories and prepare for the specific challenges of this role. Preparation is the best way to mitigate the uncertainty of the interview process. We encourage you to continue refining your answers and exploring further resources on Dataford to ensure you are fully prepared to demonstrate your value. You have the potential to make a meaningful impact at Gravie—approach your interviews with confidence and clarity.

The compensation data above reflects a broad range; understand that Gravie considers a variety of factors, including your specific experience in healthcare and your technical proficiency in data architecture. Use this range as a baseline for your own market research and salary expectations during the negotiation phase.