Jobs at Peak6

Positions 13,455

Peak6 is a leading cloud-native cybersecurity firm that protects SaaS and cloud workloads with AI‑driven threat detection. Founded in 2016 and headquartered in San Francisco, the company has grown to over 200 employees and serves Fortune 500 clients across finance, healthcare, and retail.

Peak6 hires across software engineering, data science, security operations, product management, and sales engineering. Engineers work on real‑time threat analytics, building scalable services in Go and Python, while product managers shape the user experience for the Peak6 Cloud Security Platform. Candidates can expect rigorous technical interviews, collaborative sprint cycles, and a culture that rewards continuous learning.

Job Transparency’s listings give you the full salary range, average employee rating, and candid reviews for each role. By seeing how similar positions pay at Peak6 and reading what current employees say about work life, you can negotiate better offers and verify that the company aligns with your values before applying.

No open positions at Peak6 right now.

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Frequently Asked Questions

What is it like to work at Peak6?

Peak6 fosters a fast‑paced, data‑driven environment where engineers collaborate across distributed teams. Employees enjoy flexible remote options, quarterly hackathons, and a stipend for professional development. The company culture emphasizes transparency, with regular all‑hands meetings that keep everyone informed about product milestones and company strategy.

What types of positions are available at Peak6?

Peak6’s open roles span software development, data science, security operations, product management, UX design, sales engineering, and customer success. Many positions are remote‑friendly, and the team actively hires for roles that require expertise in cloud platforms (AWS, GCP, Azure), Go, Python, and machine learning.

How can I stand out as an applicant?

Showcase hands‑on projects that demonstrate real‑time threat detection or cloud automation. Bring a portfolio of code on GitHub and explain how you solved performance bottlenecks. Highlight experience with AI/ML pipelines, cloud security frameworks, and share metrics that illustrate impact. Tailor your resume to each job description, use keywords from the posting, and request a referral from a current employee when possible.

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