Director of Product - Platform

Ocrolus Inc.

7h•Remote

About The Position

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.

Requirements

8-14 years of experience in product management, with at least 3 years owning platform, infrastructure, or developer-facing products
Technical/engineering background (CS, engineering degree, or equivalent hands-on experience). You can read architecture diagrams, reason about system design, and hold your own with senior engineers
Deep AI fluency and intellectual curiosity. You follow what's happening in AI/ML because you're genuinely interested, not because the job requires it. You have opinions about model architectures, tooling, and where the space is headed
Demonstrated experience building and scaling AI/ML-powered products or platforms in production environments
Hands-on builder mentality. You've prototyped solutions, written code (or vibe coded) to test ideas, and don't wait for engineering to validate every hypothesis
Track record of working at growth-stage companies (Series B-D, $20M-$200M ARR) where you had to build systems, not just manage them
Strong cross-functional leadership: you've navigated competing stakeholder priorities and made tradeoff decisions that stuck
Experience managing or mentoring other product managers
Experience in fintech, lending, document processing, or financial data infrastructure

Nice To Haves

Prior experience with document intelligence, OCR, or unstructured data extraction at scale
Familiarity with ML model lifecycle management: training, evaluation, deployment, monitoring
Experience building API platforms or developer tools used by external customers
Background in fraud detection, identity verification, or underwriting automation
Contributions to open-source projects, published technical writing, or side projects that demonstrate genuine builder instincts

Responsibilities

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
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
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
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
Partner with engineering leadership to align on technical architecture, capacity allocation, and build-vs-buy decisions
Communicate platform strategy and tradeoffs clearly to executive leadership
Lead a team of platform product managers
Define and drive accuracy-first quality frameworks specific to document intelligence, including measurement and continuous improvement
Ship iteratively with a bias toward learning, not perfection
Roll up your sleeves. Prototype with code, vibe code solutions, build quick proofs-of-concept. We value PMs who do, not just spec
Define platform metrics, SLAs, and health indicators that create accountability