Staff Product Security

🕒 Abril 8

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $184.000 - $252.000 / ano

⏰ Tempo Integral

🔴 Especialista

👮‍♂️ Cibersegurança / Engenheiro de Segurança

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AlphaSense

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2011

🤖 Inteligência Artificial

💸 Finanças

🏢 Corporativo

💰 Debt Financing em 2022-06

Artificial Intelligence • Finance • Enterprise

AlphaSense é uma plataforma de inteligência de mercado e busca utilizada pelas principais empresas e instituições financeiras do mundo. Desde 2011, nossa tecnologia baseada em IA tem ajudado profissionais a tomar decisões de negócios mais inteligentes ao entregar insights de um amplo universo de conteúdos públicos e privados — incluindo documentos regulatórios de empresas, transcrições de eventos, calls com especialistas, notícias, publicações especializadas e Equity Research. Nossa plataforma é utilizada e confiada por mais de 3.500 clientes corporativos, incluindo a maioria das empresas do S&P 500.

Descrição

• Embed robust security practices throughout the software and AI development lifecycle (SDLC). • Lead secure design reviews, threat modeling, and risk assessments for AI-driven products, APIs, and backend services. • Partner with engineering and product teams to ensure security, privacy, and compliance by design. • Build and maintain security automation and governance frameworks that integrate seamlessly into development workflows. • Architect and enforce security controls for AI/ML systems, including model training, data pipelines, and inference environments. • Identify and mitigate AI-specific attack vectors such as data poisoning, model inversion, prompt injection, and model theft. • Collaborate with governance and compliance teams to align with ethical AI principles and frameworks like NIST AI RMF and the EU AI Act. • Implement model provenance, integrity, and auditability controls to ensure responsible and secure AI operations. • Partner with DevOps and SRE teams to secure service meshes, container networking, and secrets management. • Drive software supply chain security, including artifact integrity, dependency management, and vulnerability reduction. • Build internal frameworks for continuous assurance and real-time vulnerability management. • Define and maintain reference security architectures for microservices, APIs, and AI-powered systems deployed in the cloud. • Mentor teams on secure coding, containerization best practices, and AI risk management. • Promote a security-first culture through advocacy, documentation, and training. • Represent product security in cross-functional initiatives and leadership discussions.

🎯 Requisitos

• 7+ years of experience in product, application, or cloud security engineering. • Deep understanding of secure SDLC, threat modeling, and secure architecture design. • Proven expertise with AWS cloud security concepts and best practices. • Strong experience with container security, orchestration, and runtime protection. • Proficiency in Python, Java, and/or JavaScript for security automation, code review, and tooling. • Experience securing AI/ML pipelines, data workflows, or model-serving infrastructure. • Familiarity with DevSecOps and continuous integration/deployment environments.

🏖️ Benefícios

• Competitive compensation • Performance-based bonus • Equity • Generous benefits program