Security Engineer - Product Security
- Salary not listed
- Posted 3 weeks ago · via Lever
Hiring in some regions only
Build AI workflows to turn security findings into tested code changes
Build and improve agentic AI workflows that turn security vulnerability findings into tested, review-ready code changes for engineering teams across Spotify. Design and implement evaluation frameworks to measure the quality of automated fixes, including correctness, completeness, safety, build and test success, and pull request merge rates. Develop tools and processes to compare remediation approaches, evaluate AI models, and continuously impr...
Why This Role?
Directly impact security posture by building scalable AI solutions
Key Responsibilities
- Build and improve agentic AI workflows that turn security vulnerability findings into tested, review-ready code changes
- Design and implement evaluation frameworks to measure the quality of automated fixes
- Develop tools and processes to compare remediation approaches and evaluate AI models
Requirements
- Experience in software engineering
- Knowledge of AI-assisted vulnerability remediation
- Ability to research and apply emerging practices in AI
Required Skills
Indonesia Context
- Working Hours Overlap:
- Minimal overlap — opposite hours
View Original Description from Lever PostingsShow more
Original description from Lever Postings
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. Security engineers at Spotify help protect our environment and more than 700 million users. Within Platform, our Product Security team evaluates and communicates Spotify's security posture, helping developers and leadership make informed decisions about security risks. We own the vulnerability management platform, supporting the full lifecycle of identifying, attributing, remediating, and reporting security vulnerabilities. As AI changes how vulnerabilities are discovered and exploited, we're evolving how Spotify responds. We're looking for a Security Engineer to help transform vulnerability findings into reliable, actionable code improvements using agentic AI. You'll build the tools, workflows, and evaluation frameworks that make automated remediation more effective, scalable, and safe, while helping developers focus on building great experiences for our users. What You'll Do Build and improve agentic AI workflows that turn security vulnerability findings into tested, review-ready code changes for engineering teams across Spotify. Design and implement evaluation frameworks to measure the quality of automated fixes, including correctness, completeness, safety, build and test success, and pull request merge rates. Develop tools and processes to compare remediation approaches, evaluate AI models, and continuously improve the reliability and effectiveness of generated fixes. Research and apply emerging practices in AI-assisted vulnerability remediation, including prompt engineering, context engineering, and vulnerability-specific fix guidance. Identify which vulnerability types are suitable for automated remediation, balancing security impact, technical feasibility, and developer experience. Collaborate with developers and security stakeholders to collect feedback through code reviews, pull requests, support channels, and interactive sessions, using these insights to improve remediation quality. Help shape how Spotify approaches security posture management by building scalable solutions that reduce security risks and make it easier for teams to address vulnerabilities. Who You Are You have experience in software engineering, particularly within security engineering, developer experience, or internal infrastructure. You can confidently read, understand, and write code in one or more languages such as Java, Python, Scala, C++, or TypeScript. You have experience designing and building scalable systems, with an understanding of software architecture and reliable engineering practices. You have worked with agentic AI systems or AI-assisted development workflows and understand how to apply them to real-world engineering challenges. You understand common security risks, attack vectors, and vulnerabilities, including those affecting AI and machine learning systems, and approaches to mitigating them. You have experience integrating security tools or automated workflows into production engineering environments. You are familiar with agentic AI frameworks and approaches to evaluating the quality, reliability, and safety of AI-generated outputs. You enjoy collaborating across teams, learning from feedback, and navigating ambiguity. You're comfortable experimenting with new approaches while balancing innovation with thoughtful security decisions. Where You'll Be This role is based in the EST time zone Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Salary Context
Similar Engineering roles on LokerDollar pay around $140k/yr (middle half $9.6k–170k/yr, n=468 active listings).
Hiring at Spotify
Spotify has 17 other active roles on LokerDollar and has been hiring here since May 7, 2026 — across Engineering, AI, Product, Design.
- Machine Learning Engineering Manager II
- Senior Product Manager - Core Experience
- Staff Product Designer - Platform Design
Market context
- ESTIMATEEstimated pay is 60% above the role median of $140,000/year (n=468 pay-disclosing listings).
- VERIFIEDSpotify: 39 postings in the last 3 months, 173 all-time on LokerDollar.
- VERIFIEDCompany first seen May 7, 2026.
- VERIFIEDThis listing first seen Nov 5, 2026.
- VERIFIEDLast verified live Nov 10, 2026.
Not quite right? Similar roles hiring now
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Frequently asked questions
- Is Security Engineer - Product Security at Spotify a remote job?
- Yes, Security Engineer - Product Security at Spotify is remote, but the employer hires only in certain regions. Check the listing for location requirements before applying.
- What type of employment is Security Engineer - Product Security at Spotify?
- This is a full time position.
- How do I apply?
- Click the "Apply" button on this page to go to the official application at Spotify.
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