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Senior Product Security Engineer

AlphaSense•United Kingdom•🌍 Remote
Full-time7-15
£90K - £122K
per year
👁️ 0 views•📝 0 applications•Posted 9/25/2026•Expires 11/24/2026
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Job Description

About AlphaSense : The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust.

Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence.

Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets.

Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U. S. , U. K. , Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Role

We're looking for a Senior Product Security Engineer to lead the design and implementation of secure, scalable, and trustworthy products across AlphaSense 's AI-native platform. You'll work closely with architects, engineering, and product teams to embed security by design throughout the software development lifecycle.

This role sits at the intersection of AI/ML security, secure architecture, threat modeling, and customer-facing assurance — defining the standards, automation, and frameworks that enable secure, intelligent products at scale.

What You’ll Do: AI Security & Enablement (30%) Architect and enforce security controls for AI/ML systems — model training, data pipelines, inference environments, and agentic workflows. Identify and mitigate AI-specific attack vectors: prompt injection, data poisoning, model inversion, model theft. Implement mod

Required Skills

AI SecurityML SecuritySecure ArchitectureThreat ModelingSecurity ControlsData PipelinesModel TrainingInference EnvironmentsAutomationCustomer-facing Assurance

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