Scanner
Product Designer
San Francisco, CA (Hybrid)
Sponsorship not specifiedDetected 14 days ago
CybersecurityDetection EngineeringCollaboration
About the role
- Hybrid-friendly with regular in-person collaboration in San Francisco.
- To help avoid bots and fake submissions we require email authentication after you submit your application
Responsibilities
- We index logs directly in S3 and deliver blazing-fast, developer-friendly search and threat-hunting workflows.
- You'll join at a moment when our brand and product experience are accelerating, and build high-leverage features that define how security teams use Scanner.
- You'll design the core surfaces of Scanner, from feature workflows to UI systems, crafting an intuitive, beautiful product that engineers and analysts love to use.
- you'll work closely with founders, design, front and backend engineering, and product.
- you drive visual and interactive polish for every detail while designing scalable systems that bring consistency across the product.
- We trust you to take major creative ownership, give you the space to grow, and we'll support your professional development.
- You love building simple systems to solve complex problems, enjoy the momentum of an early-stage team, and want your design work to define core product experiences.
Nice to have
- experience in B2B SaaS, developer tools, or the security/observability domain.
- Why you'll love working here
Compensation
- Competitive salary, meaningful equity, and comprehensive benefits (Medical, Dental, Vision, 401k, commuter).
Benefits
- Compensation & Benefits
- Competitive salary, meaningful equity, and comprehensive benefits (Medical, Dental, Vision, 401k, commuter).
Company info
- We're lean, collaborative and high-velocity.
- Your designs move quickly into shipped features.
- At Scanner.dev, we love solving hard problems.
- Our mission is to make complex data problems simple by rethinking how log search, threat detection and observability work at scale.
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This listing is sourced directly from Scanner's careers page and normalized into a canonical job model.