Why This Job is Featured on The SaaS Jobs
Product security roles matter disproportionately in SaaS because the product itself is the delivery mechanism, and security decisions land directly in the software development lifecycle. This position sits in a product security engineering and consulting function that supports autonomous teams, which is a common operating model in large-scale SaaS platforms. The remit also includes security considerations for generative AI and adjacent systems, reflecting how modern SaaS products are expanding their attack surface beyond traditional web and mobile applications.
For a SaaS security career, the value here is breadth and leverage. Work that combines threat modeling, security reviews, and tooling integration builds a portfolio that transfers across subscription platforms, developer tools, and consumer SaaS alike. The emphasis on automation and integrating controls into deployment pipelines aligns with how SaaS organizations sustain security at scale, where manual review cannot keep up with product iteration.
This role best fits engineers who prefer influence over ownership of a single service, and who are comfortable advising, teaching, and driving cross-team initiatives. It also suits practitioners who enjoy staying close to engineering work while translating risk for varied stakeholders, especially where AI-related security questions are becoming part of mainstream product delivery.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Security engineers at Spotify protect the security of Spotify’s platform and of our 700+ million users. We are looking for an experienced engineer to join us in securing the most important engineering initiatives at Spotify.
You will be working in the product security engineering and consulting team. We’re a distributed team supporting autonomous development teams with application security expertise and best-in-class tooling. We aim to constantly improve the security posture for our fast-paced, rapidly-changing environment in a manner that will keep up with our scale. We’re experts in many domains of security, willing to teach and learn from anyone at the company.
You are a seasoned security, systems or software engineer with a passion for software security. Above all you have an insatiable appetite for learning new things and honing your existing skill set. In this role you are expected to represent security in various engineering and business contexts so we expect you to be comfortable communicating with diverse audiences both verbally and in writing.
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What You'll Do - Champion and contribute to the development and implementation of security best practices, standards, and automated tooling for secure development and deployment within Spotify's infrastructure, including AI-driven development.
- Partner closely with teams across the company to integrate security seamlessly into their development lifecycle, from ideation to deployment and monitoring.
- Consult, evangelize, and teach theoretical and practical security to groups of varying sizes, disciplines, and experience levels.
- Drive cross-disciplinary initiatives to improve the security of our engineering ecosystem and the products developed at Spotify.
- Conduct threat modeling, security reviews, and risk assessments for Spotify's diverse range of generative AI and non-AI systems.
- Evaluate, prototype, and integrate specialized security tools for AI/ML systems.
- Stay ahead of the curve on the rapidly evolving landscape of AI security threats, academic research, vulnerabilities, and mitigation strategies relevant to Spotify's scale and domain.
- Contribute to security incident response activities involving AI systems.
Who You Are - Hands-on technical experience with software security.
- You are comfortable writing code to integrate security tools and automate your work with modern software development practices.
- Security expertise in one or more domains, such as backend, mobile, web, and machine learning.
- Strong foundation in core security domains such as cryptography, cloud security and application security.
- You are comfortable working with diverse stakeholders and explaining security concepts to non-expert audiences.
- You have experience from working in agile environments and easily adapt to change, enjoy challenges and thrive in ambiguity.
- Ability to read and write code in languages such as Java, Python, Scala, C++ and TypeScript.
- Experience with generative AI tools for common software engineering tasks.
- Good understanding of common security risks, attack vectors, and vulnerabilities specific to AI/ML systems and how to mitigate them.
- Demonstrable experience with security research on AI/ML systems and applications.
- Experience integrating security tooling into production systems at scale.
- Familiarity with common agentic AI frameworks.
Where You'll Be - This role is based in either London or Stockholm
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
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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.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
