Staff Product Designer, Modern Compute
$204,000–$255,000 year
HybridNew York, United States
Job Summary
Lead end-to-end product design for Modern Compute, initially focused on the Autoscaling product, defining direction from early problem framing through detailed design and delivery. Design clear, trustworthy experiences for engineers making high-stakes decisions about infrastructure reliability, performance, and cost, simplifying complex technical concepts without removing necessary detail and control. Partner closely with product and engineering leaders to identify problems, make decisions clearer, and connect work across teams, while creating reusable patterns that improve consistency across Modern Compute and the broader Datadog platform. Mentor other designers through critique, feedback, and hands-on partnership, and design realistic prototypes in code using coding agents.
Required Qualifications
- 10+ years of experience designing complex web-based products
- experience operating at a Staff level or in a role with comparable scope
- exceptional interaction and visual design craft, particularly in dense, technical, or data-heavy experiences
- led ambiguous product work where the direction was not already defined and your involvement changed the outcome
- can simplify complex systems for expert users without watering down how those systems work
- comfortable working closely with product managers and engineers throughout the product development process
- communicate complex ideas clearly and can build confidence in a direction across design, product, engineering, and senior leadership
- think beyond an individual feature and can create systems or patterns that work across products and teams
- balance long-term product direction with hands-on execution and attention to detail
- actively mentor other designers and help improve the quality of work around you
- can design and build code-based prototypes using AI and coding agents, or have demonstrated the ability to quickly develop that capability
Desired Qualifications
- Experience designing infrastructure, observability, cloud, or developer tools
- Familiarity with Kubernetes, containers, autoscaling, GitOps, YAML, or related infrastructure workflows
- Experience designing products for SREs, platform engineers, or application developers
- Experience working across a multi-product SaaS platform
- Experience creating design patterns that were adopted by multiple teams
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