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
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
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
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
Represent engineering at the executive level; contribute to the narrative on technology execution, risks and investments.

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).

Vice President of Engineering

Key skills