Engineering Manager, AI Applications

🕒 Abril 29

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Optro

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2014

☁️ SaaS

📋 Conformidade

🤖 Inteligência Artificial

SaaS • Compliance • Artificial Intelligence

A Optro é uma empresa de software corporativo (anteriormente conhecida como AuditBoard) que oferece uma plataforma de Governança, Risco e Conformidade (GRC) impulsionada por inteligência artificial para grandes organizações. Seu sistema baseado em nuvem conecta auditorias, controles, avaliações de risco, risco de terceiros e estruturas de conformidade em um modelo operacional unificado que monitora continuamente evidências, identifica falhas de controle e automatiza fluxos de trabalho de garantia. A Optro tem como alvo empresas e organizações regulamentadas que buscam ampliar programas de risco, melhorar a visibilidade e conformidade, e aproveitar a IA treinada em domínios para passar de uma supervisão reativa para um gerenciamento de risco proativo.

Descrição

• Mentor, inspire, and grow a diverse team of engineers, fostering a culture of craftsmanship, curiosity, and continuous learning in applied AI. • Manage the team through hiring, retaining, mentoring, and continuously building individual and team capabilities in modern AI engineering best practices. • Act as an embedded engineering partner to the product organization, championing AI-first approaches to feature delivery and accelerating squads' ability to leverage AI infrastructure. • Lead the technical direction and execution for AI initiatives, including agent workflow development, MCP tooling, and the internal AI chat assistant. • Develop and nurture strong relationships with Product, QA, Delivery, Design, Customer Support, GTM, and other partners to deliver best-in-class AI-powered experiences. • Own end-to-end build and delivery of AI solutions, features, and services within Optro's platform, collaborating closely with the AI Platform team for core infrastructure. • Continuously improve all aspects of the product lifecycle, technical systems, engineering processes, and team practices, to deliver outstanding results for customers. • Collaborate closely with Product Management to define goals, objectives, and the roadmap for AI Applications initiatives, ensuring alignment with business priorities. • Champion agile best practices, ensuring clarity, transparency, and efficient delivery across your team and the broader organization.

🎯 Requisitos

• 5+ years of engineering experience, with 2+ years in an engineering management role leading teams building and shipping production AI or software systems. • Demonstrated ability to be a technical mentor and engineering role model, someone engineers look to for guidance on architecture, code quality, and engineering culture. • Strong proficiency with Python and modern server-side development; comfort with TypeScript/Node.js is a plus. • Experience with AWS (preferred) or Azure cloud environments and modern deployment practices. • Track record of partnering with Product teams to drive delivery velocity and quality. • Solid understanding of modern agent frameworks and how to apply them to build reliable, production-grade AI workflows (e.g., LangGraph, LangChain, or comparable tooling). • Experience deploying agents in production including observability, tracing, failure handling, and performance considerations. • Familiarity with vector databases, semantic search, or RAG-adjacent technologies at the application integration level. • Familiarity with the Model Context Protocol (MCP) and experience building or consuming tool-based AI integrations. • Bonus: Experience building or maintaining AI-assisted chat or conversational interfaces. • Bonus: Experience with modern JavaScript frameworks (Ember preferred; Vue, React, or Angular also valued) for front-end collaboration. • Bonus: Understanding of ethical AI principles and responsible AI development practices. • Bonus: Experienced working in a highly regulated, ARC (Audit, Risk, and Compliance) environment. • Preferred: Managed remote or distributed engineering teams. • Preferred: Experience in an agile development environment and with modern project management tooling. • Preferred: Strong B2B SaaS product experience. • Preferred: Comfort operating in a fast-moving environment where the AI tooling landscape evolves rapidly.

🏖️ Benefícios

• Offers Bonus • 15% Annual Target Bonus