Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("Market Average: Senior Level"), this listing's salary midpoint is about 59% higher. The offer sits above the benchmark range (€5,000–€12,906). The listed pay band (€12,667–€15,833) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 64 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Software Engineer | €3,500/per month | €5,889/per month | €12,323/per month |
Role\u00a0We are looking for a Staff Software Engineer - AI Security to join our team. This is a Hybrid role based in San Jose, CA, reporting to the Director, Software Engineering in the Engineering department. We are building security products that enable organizations to adopt AI applications and agents safely and at scale. As a Staff Software Engineer, you will take ownership of complex engineering challenges, build secure and scalable systems, and raise the technical bar through hands-on execution and collaboration. What you\u2019ll do (Role Expectations) Define technical direction and architecture for major areas of the product Lead high-impact initiatives that span multiple teams and system boundaries Turn ambiguous product and security challenges into clear, executable engineering strategies Establish standards for secure, reliable, scalable, and maintainable systems Identify systemic risks, architectural gaps, and investments needed for long-term growth. Who You Are (Success Profile) You thrive in ambiguity. You act like an owner. You are a problem-solver. You are a high-trust collaborator. You are driven by innovation.
Job Details
Responsibilities
- Define technical direction and architecture
- Lead high-impact initiatives
- Turn ambiguities into strategies
- Establish standards for secure systems
- Identify architectural gaps
Requirements
- 5+ years of software-engineering experience
- Strong proficiency in Go, Rust, and Python
- Experience with architectures spanning multiple teams
- Hands-on coding and debugging
- Cloud infrastructure knowledge (AWS, GCP, or Azure)
Skills & Technologies
Benefits & Perks
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