Vice President of Engineering

🕒 Junho 23

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Ocrolus

SiteLinkedInTodas as Vagas

201 - 500 funcionários

🤖 Inteligência Artificial

💸 Finanças

💳 Fintech

💰 $80.000.000 Series C em 2021-09

Artificial Intelligence • Finance • Fintech

Ocrolus é uma empresa que fornece automação de processamento de documentos impulsionada por IA com intervenção humana. Ela se especializa em simplificar e aprimorar a precisão da análise de documentos financeiros e na tomada de decisões para diversas indústrias, incluindo empréstimos para pequenas empresas, hipotecas, setores de consumo e multifamiliares. A tecnologia da Ocrolus permite aos credores gerenciar riscos e evitar fraudes, automatizando a análise de documentos, garantindo conformidade e reforçando a segurança. A empresa oferece soluções inteligentes de processamento de documentos que classificam, capturam, detectam e analisam dados, fornecendo insights sobre fluxo de caixa, renda, emprego, endereço e verificação de identidade. A Ocrolus é conhecida por sua abordagem inovadora na automação de processos de negócios e no aumento da eficiência administrativa, com foco em decisões financeiras mais rápidas e precisas.

Descrição

• 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.

🎯 Requisitos

• 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).

🏖️ Benefícios

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