Staff Product Security

🕒 April 8

🇺🇸 United States – Remote

💵 $184k - $252k / year

⏰ Full Time

🔴 Lead

👮‍♂️ Cybersecurity / Security Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

AlphaSense

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

💸 Finance

🏢 Enterprise

💰 Debt Financing on 2022-06

Artificial Intelligence • Finance • Enterprise

AlphaSense is a market intelligence and search platform that empowers companies to unlock critical insights across an extensive universe of public and private content, including company filings, broker research, expert calls, and market trends. Its AI-driven technology affords users the ability to conduct comprehensive due diligence with speed and accuracy, reducing uncertainty and blind spots in decision-making. Trusted by major corporations, financial institutions, and asset management firms globally, AlphaSense serves sectors such as financial services, health care, and technology by providing generative AI-powered solutions that integrate internal proprietary data with external premium content.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

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