Staff AI Engineer

🕒 Abril 3

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $180.000 - $220.000 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

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SecurityScorecard

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2013

🔒 Cibersegurança

🏢 Corporativo

💰 $180.000.000 Series E em 2021-03

Cybersecurity • Enterprise

SecurityScorecard é uma empresa focada em cibersegurança e gestão de riscos. Ela oferece soluções para detecção e resposta na cadeia de suprimentos, gestão de riscos cibernéticos de terceiros e gestão da superfície de ataque externa (EASM). Ao aliar IA e ratings de segurança, a SecurityScorecard ajuda as organizações a aprimorar sua postura de cibersegurança e gerenciar riscos de forma eficaz. A plataforma da empresa permite monitoramento e remediação de vulnerabilidades, colaboração com fornecedores e conformidade com exigências regulatórias. A SecurityScorecard atende a uma ampla variedade de setores, incluindo setor público, tecnologia, saúde, serviços financeiros e outros. Seu conjunto abrangente de ferramentas e serviços, como Security Ratings e MAX, capacita as organizações a gerenciar proativamente riscos cibernéticos e a fortalecer sua estrutura geral de segurança.

Descrição

• Lead the design and delivery of major AI-powered product initiatives from concept through production, owning the full software development lifecycle • Define the technical architecture for AI systems at SecurityScorecard: LLM pipelines, agentic workflows, retrieval infrastructure, and evaluation frameworks • Set the standard for how the engineering organization builds with AI, including development practices, tooling choices, and quality bars • Use Cursor, Claude Code, and AI-native development tools as core instruments, and model what high-velocity, high-quality AI-augmented engineering looks like for the team • Collaborate directly with product leadership and the CTO organization to shape the AI product roadmap • Drive architecture reviews, establish cross-team engineering standards, and elevate the technical level of the teams you work with • Identify and eliminate bottlenecks in how AI features get built, tested, and shipped across the organization • Operate with Staff-level ownership: you see the whole problem, not just your part of it

🎯 Requisitos

• 7+ years of software engineering experience with a track record of leading complex, high-impact technical projects end-to-end • Demonstrated ability to operate independently across the full product development lifecycle, from problem definition through production operations • 3+ years building and shipping AI-powered product features in production, including LLM integration, agentic systems, or intelligent automation • Strong product instincts: you think about user problems and business outcomes, not just technical implementation • Proficiency in TypeScript and strong backend engineering fundamentals with experience in distributed systems at scale • Fluency with AI-native development workflows (Cursor, Claude Code, or equivalent) as a primary engineering practice, not an experiment • Cloud infrastructure experience (AWS preferred) and comfort with the full production stack • Exceptional communication: able to drive alignment across product, engineering, and executive stakeholders.

🏖️ Benefícios

• Health benefits • Stock options • Unlimited PTO • Parental leave • Tuition reimbursements