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Senior Product Security Engineer

AlphaSenseRemote - United KingdomSecurity / IT
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
23 Sept 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Senior Product Security Engineer position at AlphaSense is a remote opportunity based in the United Kingdom focused on leading the design and implementation of secure, trustworthy products across an AI-native platform. This role suits an experienced security professional with a strong background in application, product, or cloud security engineering who wants to drive cutting-edge security initiatives.

Key Responsibilities

Architect and enforce security controls for AI and machine learning systems, covering model training, inference environments, data pipelines, and agentic workflows.
Identify and mitigate AI-specific attack vectors including data poisoning, prompt injection, model theft, and model inversion.
Implement model provenance, auditability, and integrity controls to support responsible artificial intelligence operations.
Align AI security practices with compliance and governance frameworks such as the EU AI Act and NIST AI RMF.
Embed security, privacy, and compliance by design throughout the software and AI development lifecycles in partnership with architects, product managers, and engineering teams.
Define and maintain secure development standards, guidance, and industry best practices.
Lead threat modeling sessions, secure design reviews, and comprehensive risk assessments.
Build and maintain security automation and governance mechanisms that integrate directly into existing development workflows.
Produce customer-facing security assurance deliverables such as security whitepapers, trust collateral, and security questionnaire responses to support enterprise deal progression.
Represent product security in leadership, cross-functional, and customer discussions.
Mentor engineering teams on secure design, AI risk management, and secure coding principles.

Requirements

Bring 5 to 7+ years of professional experience in product, application, or cloud security engineering.
Deep understanding of threat modeling, secure SDLC, and secure architecture design principles.
Ability to read and review source code to effectively inform threat models and design reviews.
Experience securing data workflows, AI/ML pipelines, and model-serving infrastructure, backed by working knowledge of AI and LLM security topics like prompt injection and model integrity.
Proven expertise utilizing cloud security concepts and best practices across multi-cloud environments.
Familiarity with CI/CD environments and DevSecOps practices.
Working knowledge of encryption fundamentals, including asymmetric and symmetric cryptography, TLS/mTLS, key management, and secrets handling.
Understanding of modern authentication and authorization patterns such as OAuth 2.0, OIDC, SAML, RBAC, and ABAC.
Demonstrated ability to drive cross-functional security initiatives by collaborating with engineering, product, and compliance teams.

Nice to Have

Proficiency in programming languages such as Python, Java, or JavaScript for security tooling and automation.
Experience with container and orchestration security, including Kubernetes runtime protection.
Knowledge of software supply chain security and artifact integrity verification.
Experience participating in or managing bug bounty programs, triaging findings, and driving root-cause analysis.
Familiarity with compliance and governance frameworks including SOC 2, ISO 27001, NIST 800-53, and NIST AI RMF.
Professional certifications such as CISSP, CKS, CSSLP, or recognized AI/ML security credentials.

Skills and Tools

Python
Kubernetes
JavaScript
Java
LLM security frameworks
Secure SDLC and threat modeling
Cloud security infrastructure

Salary and Benefits

Base compensation range is set between £90,000 and £122,000 GBP, determined by candidate experience, expertise, internal comparables, and local benchmarking.
Potential to receive a performance-based bonus and equity.
Access to a generous benefits program.

About the Company

AlphaSense provides a market intelligence and search platform built on proven AI, helping sophisticated companies remove uncertainty from decision-making. Trusted by over 6,000 enterprise customers, the platform aggregates extensive public and private content sets. Founded in 2011 and headquartered in New York City, AlphaSense employs over 2,000 people globally with offices across the U.S., U.K., Finland, India, Singapore, Canada, and Ireland.

How to Apply

To apply for this position, please visit the official AlphaSense careers page to submit your application securely.

Skills and tech stack

Questions candidates ask

What is the location requirement for this job?

This position is remote with a focus on candidates based in the United Kingdom.

How many years of experience are required?

The role requires 5 to 7+ years of professional experience in product, application, or cloud security engineering.

What is the base salary range for this role?

The base compensation range is £90,000 to £122,000 GBP, with final offers depending on candidate experience and expertise.

What are the primary technical focus areas?

Key technical areas include AI and machine learning security, secure SDLC, threat modeling, cloud security, and security automation using Python, Java, or JavaScript.

Where should I submit my application?

Candidates should apply directly through the official AlphaSense careers page.

Ready to apply?

The application is on the official AlphaSense careers page.

Apply on company site