Product Manager
Ocrolus
Come build at the intersection of AI and fintech. At Ocrolus, we’re on a mission to help lenders automate workflows with confidence—streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.
Our AI-powered data and analytics platform is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to credit—ultimately creating a more inclusive financial system.
Trusted by more than 400 customers—including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square—Ocrolus stands at the forefront of AI innovation in fintech. Join us, and help redefine how the world’s most innovative lenders do business.
You are a hands-on, highly motivated Product Manager who will own Ocrolus’s data products and analytics offering within the Small and Medium Business (SMB) lending vertical. As Product Manager, you will be an expert on building data-driven insights for SMB lending, and you will work cross-functionally to create a cohesive, high-impact product strategy that empowers lenders to underwrite, price, and manage risk more effectively.
You will partner with engineering and data science teams to translate complex data and research questions—spanning benchmarking, predictive modeling, underwriting metrics, and industry trends—into actionable products and insights. Your work will shape the future of SMB lending and fuel data innovation across Ocrolus.
What you’ll do:
- Craft and own the SMB lending data & analytics product roadmap, prioritizing features based on customer value, market need, and data science feasibility.
- Partner with Ocrolus’s engineering and data science teams to deliver products that answer core questions for SMB lenders, such as:
- How industries and geographies are trending in application volumes, cash flow health, and approval performance.
- Which underwriting metrics are most predictive of outcomes such as approval, default, and renewal.
- How lenders can benchmark merchant applications for credit across industries and geographies.
- How to identify high-quality originators, broker partners, and merchants using data-driven scoring.
- How AI and analytics can surface underwriting red flags or recommend focal points in merchant cash flow.
- Write clear product requirements, business cases, and strategy documents to bring these insights to life.
- Represent Ocrolus’s SMB data and analytics suite externally to clients, partners, and prospects as a subject matter expert.
- Build KPIs and dashboards to monitor product performance and adoption, and iterate quickly on learnings.
- Educate internal stakeholders and collaborate with GTM teams to ensure seamless delivery and adoption.
- Manage end-to-end delivery of new data products, from rapid prototyping to phased rollouts and full launches.
In addition, you will:
- Develop a strong understanding of all Ocrolus solutions and integrate SMB lending data capabilities across verticals
- Explore new market opportunities for analytics-driven products in partnership with lenders, banks, and fintechs.
- Proactively nurture client relationships to ensure insights deliver measurable value.
What you’ll bring:
- A passion for building data products that empower SMB lenders, with curiosity, analytical thinking, and a deep sense of ownership.
- Minimum of 3 years of strong product management experience.
- Ability to write/query databases using SQL, comfort with working in a hands-on fashion with a team of data scientists, ability to present and explain visual representations of data
- Experience with SMB lending, credit, or fintech (preferred).
- Excellent ability to collaborate with data science and engineering teams to translate complex analyses into intuitive products.
- Comfort leveraging AI as a tool for product discovery and prototyping and as a core component of the solutions you build. You must partner with data scientists to translate AI-driven insights into intuitive, high-value products for SMB lenders.
- Strong client-facing skills and ability to articulate data insights to technical and non-technical audiences.
- Track record of driving measurable product adoption and business outcomes.
- Ability to navigate setbacks and iterate quickly toward better solutions.
Nice-to-haves:
- Background in data science, analytics, or financial modeling.
- Degree in Finance, Economics, Computer Science, or related field; MBA a plus.
Note:
The full-time salary range for this role is around $180,000 + equity + benefits. Base pay offered may vary depending on job-related knowledge, skills, experience, and market location.
Disclosure as required by N.Y.C. Admin. Code §§ 8-102 and 8-107(32) of the full time salary compensation range for this role when being hired into our offices in New York City.
Life at Ocrolus
We’re a team of builders, thinkers, and problem solvers who care deeply about our mission — and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact.
Our culture is grounded in four core values:
Empathy – Understand and serve with compassion
Curiosity – Explore new ideas and question the status quo
Humility – Listen, be grounded, and remain open-minded
Ownership – Love what you do, work hard, and deliver excellence
We believe diverse perspectives drive better outcomes. That’s why we’re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic.
We look forward to building the future of lending together.