Senior Manager, AI Corporate Engineering

🕒 Agosto 11

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $210.000 - $247.000 / ano

⏰ Tempo Integral

🟠 Sênior

🖥 Engenheiro de Software

🦅 Patrocina Visto H1B

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👻 Score fantasma 7%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Vanta

201 - 500 funcionários

Fundada em 2018

📋 Conformidade

🔐 Segurança

☁️ SaaS

💰 $40.000.000 Series B em 2022-10

Compliance • Security • SaaS

A Vanta é uma plataforma de gerenciamento de confiança que simplifica fluxos de trabalho de conformidade e aprimora programas de segurança para empresas. Ao alavancar a automação, a Vanta ajuda as empresas a alcançarem e manterem conformidade com estruturas como SOC 2, ISO 27001 e GDPR. Ela oferece soluções para empresas de todos os tamanhos, desde startups até grandes corporações, garantindo segurança e conformidade em escala. Com integrações com mais de 375 ferramentas, a Vanta utiliza IA para simplificar tarefas como automação de questionários e gestão de risco de fornecedores. A Vanta capacita prestadores de serviço e auditores a oferecer experiências eficientes e satisfatórias, ajudando as empresas a construírem confiança com seus clientes e parceiros.

Descrição

• Lead, coach, and grow a senior team spanning platform engineering and technical program management • Own the AI access layer, including identity and authentication for AI tools, connector and integration allowlisting, tiered permissions, and adoption guardrails • Build AI cost engineering capabilities for attribution, model right-sizing, agent and automation spend traceability, budgets, and alerting • Own the MCP layer for internal tools, including commissioning, decommissioning, governance, and migration impact assessment • Own the paved path for internal applications, including golden-path deployment, private-by-default defaults, lifecycle policy, and build-versus-buy decisions • Build enablement capabilities including a skills and agent registry, evaluation framework, and technical enablement on sanctioned tools • Define and maintain the Corporate Engineering charter, ownership boundaries, intake process, and roadmap • Convene a cross-functional forum to coordinate departmental AI efforts • Partner with Engineering, GRC, Security, Data, Finance, and People through coordination and influence

🎯 Requisitos

• Experience standing up an internal AI or developer platform function from a blank page • Experience writing a charter, defining intake, and building a roadmap • Ability to scope commitments and deliver bounded first versions • Fluency in AI cost engineering, including usage attribution, model right-sizing, token economics, agent cost traceability, budgets, and guardrails • Hands-on technical depth across LLM platform tooling, agent and MCP architecture, identity and OAuth, CI/CD, and infrastructure as code • Ability to build platforms for non-developer users without lowering the security bar • Data governance fluency in a regulated environment • Comfort operating through influence across partner organizations • 8+ years in platform, infrastructure, or systems engineering • 3+ years managing and developing engineers • Experience at a company that scaled through a significant headcount inflection is ideal • Must be authorized to work in the U.S. without current or future employer sponsorship • Curiosity, willingness to learn, sound judgment, and responsible use of AI

🏖️ Benefícios

• Industry-competitive salary and equity • Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans • 16 weeks paid Parental Leave for all new parents • Health & wellness stipend • Remote workspace, internet, and cellphone stipend • Commuter benefits for team members who report to the SF and NYC office • Family planning benefits • Matching 401(k) contribution with immediate vesting • Flexible PTO policy • 80 hours of Sick Time • 11 company-paid holidays • Virtual team building activities, lunch and learns, and other company-wide events

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