Preparation at Wave is not about memorizing answers; it is about demonstrating a structured approach to problem-solving and a deep alignment with our mission. Focus on articulating your "why" and your "how" with clarity and precision.

Product Thinking – We look for your ability to identify user pain points and design scalable solutions. You should be able to articulate the trade-offs between speed-to-market and long-term product stability.

Analytical Rigor – You will be expected to demonstrate proficiency in data-driven decision-making. Be prepared to talk about which metrics matter most for your products and why.

Cross-Functional Leadership – Success at Wave requires influence without authority. You must demonstrate how you build consensus among engineers, designers, and business stakeholders to move initiatives forward.

The interview process at Wave is designed to be rigorous, fair, and reflective of the actual challenges you will face on the job. We value transparency and want to ensure that you have enough touchpoints with our team to determine if this is the right cultural and professional fit for you. You can expect a mix of high-level strategic discussions, technical assessments, and deep-dive behavioral interviews.

The visual timeline above outlines the typical stages of our recruitment cycle. Candidates should use this as a roadmap to manage their preparation energy, ensuring they are equally ready for the technical SQL assessments and the later-stage behavioral conversations. Please note that the exact sequence may vary slightly based on the seniority of the role and the specific hiring team.

Strategic Problem Solving

We evaluate your ability to decompose complex, ambiguous problems into manageable tasks. A strong candidate provides a clear framework for their thinking before diving into specific solutions.

Be ready to go over:

• Defining user personas and their specific pain points.
• Prioritization frameworks (e.g., RICE, MoSCoW) and how you apply them.
• Assessing the competitive landscape and identifying opportunities for differentiation.

Example questions:

• "How would you improve the onboarding experience for a new user?"
• "If we were to enter a new market, what is your go-to-market strategy?"

Data-Driven Decision Making

In the financial sector, intuition must be backed by evidence. You should be comfortable querying data and interpreting trends to support your product roadmap.

Be ready to go over:

• SQL fundamentals and data manipulation.
• Interpreting A/B test results and identifying statistical significance.
• Connecting product metrics (like churn or activation) to broader business goals.

Example questions:

• "How would you design an experiment to test a new pricing model?"
• "What would you do if your primary metric remains flat despite a new feature release?"

As a Product Manager, your days will be defined by constant collaboration. You will work closely with engineering to refine requirements, with design to ensure a seamless user experience, and with operations to understand the downstream impact of your product decisions. You will own the roadmap for your specific area, meaning you must be comfortable saying "no" to good ideas to ensure the team focuses on the "great" ones.

You will also be expected to act as a bridge between the technical team and the business. This involves translating complex technical constraints into business risks and, conversely, translating business objectives into clear, actionable engineering requirements. Expect to spend significant time in discovery, interviewing users, and analyzing product telemetry to validate your hypotheses.

We are looking for individuals who are as passionate about the mechanics of product management as they are about the success of small businesses.

• Must-have skills:

• Proven experience in a Product Manager or equivalent role.

• Strong analytical skills, including basic SQL proficiency.

• Excellent communication skills, with the ability to influence cross-functional teams.

• A demonstrated ability to manage a product roadmap from conception to delivery.

• Nice-to-have skills:

• Experience in Fintech or B2B SaaS environments.

• Background in software engineering or UX design.

• Familiarity with agile methodologies and modern product management tooling.

Q: How difficult are the technical interviews? A: The technical assessments are designed to test practical application rather than theoretical computer science. If you have a solid grasp of data analysis and basic SQL, you should find the assessments fair and well-aligned with the role.

Q: What is the company culture like at Wave? A: We pride ourselves on a culture of transparency, empathy, and mission-driven work. We look for candidates who are genuinely curious about the challenges facing entrepreneurs and who thrive in collaborative, fast-paced environments.

Q: How long does the entire interview process take? A: While it can vary based on scheduling, most candidates move through the process in 3 to 6 weeks. We aim to provide timely feedback at every stage.

Q: Is the role remote or hybrid? A: Wave supports flexible working arrangements, though specific requirements may depend on the team and your location. Please clarify the expectations for your specific region during your initial screen.

• Structure your answers: Use the STAR method (Situation, Task, Action, Result) for behavioral questions to keep your responses concise and impactful.
• Show your work: When solving a case study, talk through your thought process aloud. We are more interested in how you think than in finding a "perfect" answer.
• Research our products: Use Wave tools yourself before the interview. Having first-hand experience as a user will make your product critiques much more insightful.
• Ask thoughtful questions: Use the end of your interviews to ask about team dynamics, current challenges, or the long-term vision of the department.

The Product Manager position at Wave is a unique opportunity to shape the financial future of small businesses. We seek candidates who are not only technically proficient but also deeply committed to our mission and values. By focusing on your ability to synthesize data, lead cross-functional teams, and maintain a user-first mindset, you will be well-positioned to succeed.

Prepare thoroughly by reviewing your past projects and practicing your structured thinking. We encourage you to reflect on your experiences and identify how they align with the challenges described in this guide. You have the potential to make a significant impact here—approach the process with confidence, and we look forward to seeing what you can bring to the team. For further insights, continue exploring resources available on Dataford.

The salary data provided reflects current market benchmarks for Product Manager roles at this level. Use this as a guide for your compensation expectations, keeping in mind that total packages at Wave often include benefits and equity components tailored to the specific seniority of the position.