Staff Product Designer, Modern Compute
About The Position
Datadog’s Infrastructure products help engineers understand and operate the systems their applications depend on. Our customers work in complex environments like Kubernetes and serverless, where infrastructure changes constantly, information is dense, and decisions about reliability, performance, and cost are closely connected. We’re looking for a Staff Product Designer to join Modern Compute, with an initial focus on Containers Autoscaling. Autoscaling helps engineering teams make better decisions about how their applications and infrastructure use resources. Designing these experiences requires making deeply technical systems understandable, helping customers act with confidence, and fitting into the tools and workflows they already use. The team is rethinking how workload and cluster autoscaling come together as a more coherent product experience. This includes how customers get started, understand recommendations, evaluate value, and safely apply changes across their environments. The work also connects to other parts of Datadog, including observability, Cloud Cost Management, permissions, and AI-assisted workflows. As a Staff Product Designer, you will help define that direction and lead the work from early problem framing through shipped product. You will partner closely with product and engineering, bring a high level of interaction and visual craft to complex workflows, and help raise the quality of design across Modern Compute.
Requirements
- 10+ years of experience designing complex web-based products, including 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.
- Experience leading ambiguous product work where the direction was not already defined and your involvement changed the outcome.
- Ability to 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.
- Ability to communicate complex ideas clearly and build confidence in a direction across design, product, engineering, and senior leadership.
- Ability to think beyond an individual feature and create systems or patterns that work across products and teams.
- Ability to 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.
- Ability to design and build code-based prototypes using AI and coding agents, or demonstrated ability to quickly develop that capability.
Nice To Haves
- 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.
Responsibilities
- Lead end-to-end product design for Modern Compute, initially focused on our Autoscaling product.
- Help define the product direction for an area that is still evolving, from early framing and exploration through detailed design and delivery.
- Design clear, trustworthy experiences for engineers making high-stakes decisions about infrastructure reliability, performance, and cost.
- Simplify complex technical concepts without removing the detail and control expert users need.
- Work closely with product and engineering leaders to identify the right problems, make decisions clearer, and connect work across multiple teams.
- Set a high bar for interaction and visual design, including complex states, data-heavy workflows, and edge cases.
- Create reusable patterns that improve consistency across Modern Compute and the broader Datadog product.
- Mentor other designers through critique, feedback, and hands-on partnership.
- Design and build realistic prototypes in code using coding agents, while applying good judgment about when other tools or levels of fidelity are more appropriate.
Benefits
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture and the opportunity to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
- Healthcare
- Dental
- Parental planning
- Mental health benefits
- 401(k) plan and match
- Paid time off
- Fitness reimbursements
- Discounted employee stock purchase plan
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
