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Director of Product - Platform

Ocrolus is a document AI platform that enables faster and more accurate financial decision-making for lenders.

Ocrolus

Employee count: 501-1000

United States only

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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
  • 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

Execution & Team Building

  • 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

Who we're looking for (Skill Sets and Qualifications):

  • 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

Preferred Qualifications:

  • 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

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.

About the job

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Posted on

Job type

Full Time

Experience level

Experience

8 years minimum

Location requirements

Hiring timezones

United States +/- 0 hours

About Ocrolus

Learn more about Ocrolus and their company culture.

View company profile

What began as an idea in a parent's kitchen has blossomed into a transformative force in the financial technology sector. Ocrolus was founded in 2014 by Sam Bobley, who, at the age of 22, embarked on a journey to solve a significant challenge in the financial industry: the manual and error-prone process of analyzing financial documents. The initial spark for Ocrolus came from the convoluted world of Medicaid application processing, where the sheer volume of financial paperwork created massive inefficiencies. This firsthand observation of a broken system fueled the creation of a platform that could automate and bring precision to document-driven workflows. The company's early days were characterized by a relentless drive to build a technology that could read and understand financial documents with unparalleled accuracy, a stark contrast to the existing OCR solutions that fell short.

Today, Ocrolus stands as a leader in AI-driven document automation, serving a diverse clientele that includes some of the biggest names in fintech, mortgage lending, and banking like PayPal, SoFi, and Plaid. The company's innovative approach combines the power of artificial intelligence with a human-in-the-loop verification process, ensuring over 99% accuracy in data extraction. This unique fusion of machine intelligence and human oversight has become the cornerstone of their success, enabling lenders to make faster, more informed, and more confident credit decisions. From its humble beginnings, Ocrolus has grown into a global team with a strong presence in New York City, empowering financial institutions to level the playing field for borrowers by providing expanded access to credit at a lower cost. The journey from a kitchen table startup to a key player in the digital lending ecosystem is a testament to the company's unwavering commitment to innovation, accuracy, and its mission to revolutionize financial services.

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Ocrolus

Company size

501-1000 employees

Founded in

2014

Chief executive officer

Sam Bobley

Employees live in

View company profile

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