Vice President of Engineering

We're at an inflection point. Large language models, agentic AI and our proprietary human-in-the-loop verification engine are converging. The VP, Engineering will own how that transformation happens - in our product, our platform and how our teams build.

This is a player-coach role: a hands-on technical leader who progressed through the IC route - Architect or Principal Engineer - gets into the weeds when it matters, and leads at the executive level. You build the team and stay in the game.

WHAT YOU'LL OWN

Engineering delivery and velocity

• Own end-to-end engineering execution: roadmap planning, sprint cadence, release quality and cross-team dependency management
• Partner with the Product teams to align engineering capacity with product priorities; surface honest tradeoffs early
• Drive a culture of high velocity and high trust - ship fast, learn fast, fix fast

AI-native platform and product

• Lead the engineering strategy for integrating LLMs, agentic workflows and AI-native development practices into Ocrolus products at scale
• Drive adoption of modern developer productivity tools and AI-augmented engineering workflows across all teams
• Define standards for AI output quality, hallucination control, cost governance and production reliability
• Compress idea-to-ship cycles for GenAI features; set the bar for moving from prototype to production
• Partner with the ML and AI Transformation teams to embed AI into internal workflows, not just external products

Architecture, scalability and reliability

• Remain deeply hands-on: lead architecture reviews, own critical system design decisions and drive technical decision-making - not from a distance
• Own the technical roadmap across distributed systems, platform architecture, scalability and reliability for your engineering domain
• Set and enforce engineering standards: code quality, observability, incident response and security
• Make high-stakes architectural calls that balance speed, cost and long-term maintainability

Engineering organization

• Lead and grow a distributed engineering org across the US and India as one of three VP Engineering leaders; partner closely with peer VPs under the CTO
• Manage directors and senior managers; coach them into leaders who scale with the company
• Set the hiring bar, build the interview machine and recruit senior talent in a competitive AI-era market
• Own DEI and retention outcomes within your domain

Executive and cross-functional leadership

• Represent engineering at the executive level; contribute to the narrative on technology execution, risks and investments
• Own your domain's engineering budget: headcount planning, tooling spend and cloud cost optimization
• Partner with Sales and Customer Success on enterprise commitments, SLA design and escalation resolution

WHAT WE'RE LOOKING FOR

Non-negotiables

• 14+ years in software engineering with at least 5 years in engineering leadership; has scaled through Series C or equivalent growth
• Strong IC background - progressed through the Architect or Principal Engineer route with deep ownership of architecture, system design and technical decision-making
• Hands-on experience shipping AI/ML systems to production: LLMs, RAG, agentic workflows or document intelligence - not just oversight
• Proven ability to build and scale large-scale distributed platforms with high availability and reliability requirements
• Has partnered with a CTO or CEO on technical strategy; comfortable in the executive seat
• Deep expertise in distributed systems, cloud-native microservices architecture at scale (AWS preferred)

Strong signal

• Background in fintech, document AI, IDP (Intelligent Document Processing) or regulated data-intensive industries
• Experience running engineering in a human-in-the-loop or hybrid AI/human system
• Built or rebuilt engineering culture - hiring bar, onboarding, performance, career ladders - from a growth-stage baseline
• Familiarity with modern developer productivity tooling and AI-augmented SDLC practices
• Comfortable operating across US and India time zones with globally distributed teams

WHY OCROLUS NOW

• AI-native at the core: integrating state-of-the-art open- and closed-source models into a platform processing $100B+ in lending decisions annually
• Category leader: 400+ enterprise customers including PayPal, Brex, SoFi, Plaid, Better Mortgage, Enova and Square
• Real moat: proprietary HITL verification engine, 10+ years of labeled financial document data, 99%+ accuracy at scale
• Remote-first culture built on Empathy, Curiosity, Humility and Ownership