Director of Product - Platform

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
  • Mak 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
  • 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)

• 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 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