Staff AI Security Engineer

We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.

Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters.

This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.

If that sounds exciting—and the job description below feels like a fit—we really should start talking.

The Staff AI Security Engineer is a hands-on individual contributor responsible for embedding security into the design and delivery of BetterUp's AI-powered coaching platform. This role sits inside the product engineering organization in sprints, in code reviews, and in design discussions, partnering directly with Engineering and Product teams to ship securely and build scalable security practices from the ground up. This is a builder role first. The right person is energized by working alongside engineers.

• Partner with Product and Engineering teams to embed security early in the product lifecycle, participating in sprint planning, design reviews, and architect discussions to identify and address risk before it reaches production

• Conduct code reviews with a security lens and contribute directly to remediation alongside engineering teams

• Contribute to and help evolve GitHub workflows including code releases, feature flag management, and deployment pipelines

• Build threat models for customer-facing AI features, APIs, and data pipelines and translate findings into prioritized, actionable engineering work

• Conduct application security assessments including SAST, DAST, and dependency scanning

• Help teams understand and act on findings without creating unnecessary friction or blocking velocity

• Partner with AI/ML teams to assess, mitigate, and monitor risks unique to GenAI and AI/ML model integration, including prompt injection, data leakage, and model manipulation

• Help define and implement security standards for how BetterUp builds and ships AI-powered capabilities as the product evolves

• Serve as a security SME for AI-centric features, helping teams align with AI governance, security, and ethical use frameworks (e.g. ISO 42001)

• Partner with Product Managers and Engineering Leads on product security strategy and risk tradeoffs

• Mentor engineers on secure coding practices and foster a culture where security is a shared responsibility embedded in how teams work day to day

• Participate actively in design reviews, sprint planning, and architecture discussions to influence product direction

• 5+ years of experience in product security, application security, or software engineering with a meaningful security focus

• Demonstrated experience conducting hands-on threat modeling, secure code reviews, and application security assessments in a product engineering environment

• Working knowledge of AI/ML security risks including prompt injection, data leakage, and model misuse and practical approaches to addressing them

• Experience integrating security into CI/CD pipelines using SAST, DAST, dependency scanning, or similar tooling

• Solid understanding of secure SDLC practices, API security, authentication and authorization patterns, and data protection

• Familiarity with cloud security fundamentals, preferably AWS

• Ability to influence engineering teams and drive secure design decisions through partnership, not mandates

• Clear communicator who can translate technical risk into plain language for product, legal, and business audiences

• Bonus: experience supporting or operating bug bounty or coordinated vulnerability disclosure programs.

• Strategic and pragmatic thinking with the ability to balance risk and product velocity.

• Technical depth in modern cloud-native architectures and software development lifecycles.

• Clear, concise communication skills for engaging engineers, executives, and customers.

• Comfort with ambiguity and evolving regulatory standards in AI security and governance.

• Passion for mentoring and sharing knowledge across cross-functional teams.

Our team thrives at the intersection of human expertise and AI capability. As an AI-forward company, adaptation and continuous learning are part of our daily work. We're looking for teammates who are excited to evolve alongside technology – people who experiment boldly, share their discoveries openly, and help define best practices for AI-augmented work. These professionals thoughtfully integrate AI into their work to deliver exceptional results while maintaining the human judgment and creativity that drives real innovation. During our interview process, you’ll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact.