
Staff Product Designer - AI Observability
Datadog 🇺🇸 New York, New York, United States of America
The Staff Product Designer will own the end-to-end design of AI Observability tools, collaborating with product managers, engineers, and designers. They will create intuitive experiences for AI developers and scientists, enhancing the usability of AI observability tools.
Responsibilities
- Collaborate with product managers, engineers, and design to understand customer needs
- Act as an end-to-end product designer, sketching, prototyping, testing, and seeing products through to production
- Bring designs to life with intuitive interaction design, leveraging strong prototyping skills
- Utilize research methodologies and design best practices to identify opportunities to enhance AI experiences
Requirements
- 10+ years of experience in digital product design
- Track record of owning projects end-to-end
- Top-tier visual design skills, with ability to craft robust yet delightful interactions and workflows
- Deeply curious individual, inspired by emerging technologies and their effect on human computer interaction
Key Skills
- Product design
- Visual design
- Interaction design
- Prototyping
- Research methodologies
- Design best practices
- AI design
- Emerging technologies
- Human computer interaction
- Communication
- Collaboration
- Figma
- Modern prototyping tools
Benefits
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Inclusive company culture, with ability to join Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, internal panel discussions, and free global mental health benefits
About Datadog
Datadog is the essential monitoring platform for cloud applications. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.
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