Senior Product Manager - Data Analytics & Reporting

Founded in 2020 by a team of leaders from Braintree, PayPal, and Lending Club, Highnote is an embedded finance company that sets the standard in modern card platform management. As an all-in-one card issuer processor and program management platform, we provide digital-first organizations with the flexibility to seamlessly issue and process payment cards, embed virtual and physical card payments, and integrate ledger and wallet functionalities—empowering businesses to drive growth and profitability.

We’ve raised $145M+ and have grown our team to 140+ employees. Headquartered in San Francisco, we’ve managed to build one of the most advanced payments teams in the industry, with team members in 25+ US states. 

Operating through our core values of customer obsession, executional excellence, intentional inclusion, we’re helping businesses grow for the future by creating the payment products demanded by tomorrow, with the ability to solve for use cases that don’t exist yet.

We are fast-moving, hands-on, and strongly believe everyone deserves a seat at the table. We believe we’re unlocking incredible opportunities that can change the future of payments, as long as we have the right people to make it happen.

Highnote is seeking a Senior Product Manager - Data Reports & Analytics to lead the transformation of our financial intelligence and revenue operations. In this role, you will bridge the gap between raw transaction data and executive-level financial strategy. Your primary focus will be to build an automated, AI-driven Revenue Recognition Product that replaces manual/macros update overhead with scalable, verifiable software.

You will own the lifecycle of financial data - from discovery with Finance and Operations to the delivery of automated billing, invoicing, and reporting tools. You are someone who finds beauty in a complex spreadsheet but has the technical vision to turn that logic into a robust, AI-powered application that "just works."

• Lead the end-to-end development of a dedicated product for automated revenue recognition, ensuring every cent of Highnote’s complex flow is accounted for correctly.
• Codify manual finance spreadsheets (used for invoices and billing) into a scalable product. You will translate legacy formulas into production-grade logic.
• Partner with Data Science to develop an AI-driven application that mirrors and optimizes existing finance workflows, reducing manual intervention and identifying anomalies in billing patterns.
• Build rigorous validation and testing - creating and maintaining a comprehensive set of test cases to verify the correctness of billing logic. You will ensure that any change in business logic or data schema triggers automated verification to prevent financial regressions.
• Perform detailed discovery sessions with Finance, Operations, and Analytics Engineers to map out data dependencies and write high-fidelity PRDs for the development team.
• Define the metrics, calculations, and reporting UIs that support portfolio monitoring, financial audits, and regulatory reporting.
• Stakeholder Management, acting as the primary translator between the "language of finance" (accruals, deferrals, ledgers) and the "language of engineering" (APIs, schemas, latency).

• 8+ years of product management experience specifically in data reports, financial analytics, or revenue operations (RevOps).
• Strong foundation in accounting or financial operations; you must be comfortable auditing complex spreadsheets and converting them into technical requirements.
• Data Reporting Expertise; proven track record of building analytics products using SQL, BI tools (Looker/Tableau), and modern data warehouses (Snowflake/BigQuery).
• Experience building "test-driven" products where data integrity and logic verification are at the forefront of the development lifecycle.
• Experience or strong interest in applying Machine Learning/GenAI to automate structured workflows and data matching.

• You have a background that spans both worlds (e.g., prior experience in Fintech, Investment Banking, or as a Data Engineer focused on Financial Systems).
• Experience specifically using AI to automate document processing (invoices/billing) or anomaly detection in financial datasets.
• The ability to see how a change in a core transaction API will ripple through to a customer's monthly billing statement.
• Exceptional ability to lead discovery sessions with non-technical finance users and distill their needs into actionable tickets for developers.

• We’re a startup that allows for our employees to truly build from the ground up and impact every layer of our organization. 
• We’re a team of payments obsessed individuals. While some of us come from the fintech world, some of us don’t. We value the varied backgrounds and the diverse perspectives of our employees. 
• We’re small on hierarchy and big on growth. We’re a flat organization that allows everyone to have direct exposure to our leadership team. We are looking for builders who thrive in ambiguity. 
• We’re backed by Oak HC/FT, Costanoa Ventures, Adams Street Partners, Westcap, and Pinegrove Venture Partners. Angel Investors include Bill Ready (CEO at Pinterest) and Renaud Laplanche (Co-Founder & CEO of Upgrade).

• Flexible Paid Time Off
• 100% healthcare coverage + 75% coverage for dependents
• 401k program
• Paid Parental Leave: Up to 16 weeks paid leave for the birth parent, and up to 6 weeks paid leave for the non-birth parent
• Equity in Highnote
• Stipend to build out your home office; internet reimbursement
• At Highnote we have built a total rewards philosophy that includes fair, equitable, geo-based compensation that is performance and potential based. Our compensation packages are competitive based on robust market research and are a combination of a cash salary, equity, and benefits. In compliance with the Equal Pay for Equal Work Act, the annual salary range for applicants is $175,000-$225,000.

Please note that positions located in San Francisco are hybrid and include core working days of Monday, Tuesday, Wednesday, Thursday in office.  We provide flexible work options based on distance from our downtown SF office. Highnote believes in the power of face-to-face, personal connection. As a result, we prioritize in-person candidates.

Highnote is a diverse and inclusive company committed to growing a diverse and inclusive team. We invite people from all backgrounds and identities to apply. We do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other characteristics protected by US federal state or local laws, or the laws of the country or jurisdiction where you work. Additionally, we encourage everyone to share which pronouns you wish for us to use when addressing you (i.e.: she/her, he/him, they/them, etc).