Director of Product - Platform
Ocrolus Inc.
| Company | Ocrolus Inc. |
| Category | Product |
| Location | New York |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Director |
| Salary | Not stated by the employer |
| Posted | 27 Apr 2026 |
| Last verified | 9 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
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 workflow and analytics platform for lenders 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. We're looking for a Director of Product - Platform to own the foundational layer that powers everything Ocrolus builds. This role sits at the center of the company, responsible for document intelligence infrastructure, our API and developer platform, and model orchestration. You'll define the platform strategy that enables both business units to move faster, ship better products, and scale without reinventing the wheel. This is a high-leverage, high-visibility role for someone who thinks in systems, builds for durability, and thrives when the problem is ambiguous and cross-functional.
What you'll do:
Platform Strategy & Roadmap
Own the product vision and roadmap for Ocrolus's platform layer: document intelligence/extraction infrastructure, API/developer platform, and model orchestration
Define platform abstractions and capabilities that serve both SMB and Mortgage business units without creating one-off solutions
Make crisp prioritization decisions across competing BU needs, balancing near-term delivery with long-term platform scalability
AI/ML, Automation & Agentic Services
Own end-to-end human-in-the-loop learning systems, including task design, feedback loops, and data generation to continuously improve model performance
Partner with the Automation and ML teams to advance document accuracy, classification models, and extraction pipelines
Drive the product strategy for model orchestration, including how we evaluate, deploy, and monitor AI/ML models in production
Be a thought partner to our vertical teams (SMB and Mortgage) on developing and executing agentic services. Help identify where AI agents can automate workflows, replace manual steps, and create step-function improvements in our products
Translate emerging AI capabilities (LLMs, vision models, foundation models, agentic architectures) into practical platform features that create defensible competitive advantage
Stay deeply curious about what's happening in AI/ML. Read papers, break things, form opinions. We need someone genuinely excited by the technology, not managing it from a distance
API & Developer Experience
Own the developer-facing surface area of Ocrolus: APIs, documentation, webhooks, and integration patterns
Define the platform contract that internal teams and external customers build against
Drive improvements in API reliability, latency, and developer ergonomics
Cross-BU Collaboration & Stakeholder Management
Navigate competing priorities across SMB and Mortgage product teams, acting as the connective tissue between vertical needs and horizontal capabilities
Partner closely with operations teams to ensure platform capabilities effectively handle edge cases and real-world variability in document workflows