Ocrolusinc

Ocrolusinc

Director of Product - Platform

New York, United States · Director · Full-time

Sponsorship not specified$180k-$220kDetected 8 days ago
Machine LearningLLMsAgentic AIProduct ManagementProduct StrategyStakeholder ManagementLeadershipCollaborationMentoringWritingUnderwriting

About the role

  • Join us, and help redefine how the world's most innovative lenders do business.
  • Read papers, break things, form opinions.
  • You follow what's happening in AI/ML because you're genuinely interested, not because the job requires it.

Responsibilities

  • 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
  • Own the developer-facing surface area of Ocrolus: APIs, documentation, webhooks, and integration patterns
  • Drive improvements in API reliability, latency, and developer ergonomics
  • 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
  • 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

Requirements

  • Experience in product management, with years of owning platform, infrastructure, or developer-facing products
  • Technical/engineering background (CS, engineering degree, or equivalent hands-on experience).
  • You have opinions about model architectures, tooling, and where the space is headed
  • 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

Nice to have

  • Prior experience with document intelligence, OCR, or unstructured data extraction at scale
  • Familiarity with ML model lifecycle management: training, evaluation, deployment, monitoring
  • 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
  • Disclosure as required by N.Y.C. Admin.
  • Empathy - Understand and serve with compassion
  • Curiosity - Explore new ideas and question the status quo
  • Humility - Listen, be grounded, and remain open-minded

Compensation

  • The full-time salary range for this role is around $220,000 + variable + equity + benefits.

Benefits

  • 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.
  • Own end-to-end human-in-the-loop learning systems, including task design, feedback loops, and data generation to continuously improve model performance
  • Translate emerging AI capabilities (LLMs, vision models, foundation models, agentic architectures) into practical platform features that create defensible competitive advantage

Company info

  • Define the platform contract that internal teams and external customers build against
  • Who we're looking for (Skill Sets and Qualifications):
  • We're a team of builders, thinkers, and problem solvers who care deeply about our mission - and each other.
  • Our culture is grounded in four core values:
  • 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.

This listing is sourced directly from Ocrolusinc's careers page and normalized into a canonical job model.