Vice President of Engineering

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Ocrolus

Site WebLinkedInTous les Emplois

201 - 500 employés

🤖 Intelligence artificielle

💸 Finance

💳 Fintech

💰 €80 000 000 Series C en 2021-09

Artificial Intelligence • Finance • Fintech

Ocrolus est une entreprise qui propose une automatisation du traitement des documents par intelligence artificielle avec une intervention humaine. Elle se spécialise dans la rationalisation et l'amélioration de la précision de l'analyse des documents financiers et de la prise de décision pour divers secteurs, y compris le prêt aux petites entreprises, les hypothèques, le marché de la consommation et le secteur multifamilial. La technologie d'Ocrolus permet aux prêteurs de gérer les risques et d'éviter la fraude en automatisant l'analyse des documents, en assurant la conformité et en renforçant la sécurité. L'entreprise propose des solutions de traitement intelligent des documents qui classifient, capturent, détectent et analysent les données, fournissant des informations sur le flux de trésorerie, le revenu, l'emploi, l'adresse et la vérification d'identité. Ocrolus est reconnue pour son approche innovante dans l'automatisation des processus d'affaires et l'amélioration de l'efficacité des services administratifs, en se concentrant sur des décisions financières plus rapides et plus précises.

Description

• 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.

🎯 Exigences

• 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).

🏖️ Avantages

• Remote-first culture built on Empathy, Curiosity, Humility and Ownership