Datadog Logo

Datadog

Senior Design Manager - AI Monitoring & Management

Posted 13 Days Ago
Be an Early Applicant
Easy Apply
Hybrid
New York, NY
204K-255K Annually
Senior level
Easy Apply
Hybrid
New York, NY
204K-255K Annually
Senior level
Lead and mentor a team of four designers developing AI monitoring, GPU monitoring, and agent console products. Drive cohesive end-to-end experiences, establish design quality standards, shape product strategy with Product and Engineering leaders, and deepen expertise in AI development workflows, evaluations, infrastructure, and agent debugging. Prototype and ship directly in code, conduct critiques and user testing, and develop designers through coaching and career support.
The summary above was generated by AI

This team owns what it takes for an organization to trust the AI it runs in production, from the GPU infrastructure that trains and serves models, to the agents and LLM systems built on top of it, to the cost and return those systems deliver to the business. When something fails, this team's work explains why and shows how it's affecting the outcomes customers actually care about. It's a fast-moving space with few established patterns, which gives this team real room to define what best-in-class looks like.

As Senior Design Manager, you'll lead a team of four designers across these three connected product areas, going deep enough on the domain (AI training and development workflows, evaluations, GPU infrastructure, agent debugging) to raise the quality bar, sharpen the product point of view, and mentor the team already doing this work. This is a leadership role built around modern, AI-native design practice: you'll lead and grow a team that builds directly in code rather than handing off static mocks, and you should have the capability to prototype and ship yourself where it has the most impact.

What You'll Do:

  • Go deep on the domain (AI training/development workflows, evals, GPU infrastructure, agent debugging) to the point of having independent, well-informed points of view
  • Drive end-to-end product experiences across Agent Observability, GPU Monitoring, and Agent Console, ensuring coherence across the three surfaces
  • Prototype and ship directly in code where it has the most impact, to demonstrate direction and quality, not as a substitute for the team's own execution
  • Lead and coach a team of four designers, raising their craft, product thinking, and fluency building with AI-native tools
  • Conduct regular 1:1s and career conversations; foster psychological safety and a culture of continuous improvement
  • Partner with Product and Engineering leadership to shape strategy, prioritization, and roadmap direction
  • Set and maintain a high bar for design quality across all output, including interaction design, visual design, coded prototypes, and user testing, and lead design critiques within the domain

Who You Are:

  • 10+ years in product design roles, with 3+ years in a design management or leadership position
  • Portfolio demonstrating end-to-end product design ownership and deep domain expertise in at least one complex area
  • Demonstrated ability to take an existing product area and visibly uplevel its craft and product ownership
  • Strong communication and influence skills; able to partner effectively with senior-level PMs and Engineers
  • Experience designing complex, data-heavy products
  • Capability to prototype and ship directly in code (Claude Code, Cursor, or similar), and comfort leading a team that works the same way
  • Demonstrated ability to mentor designers and raise their craft through coaching and example
  • Nice to have: experience designing developer tools, AI/ML products, or observability platforms, and comfort with ambiguity in a rapidly evolving space

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and design education
  • Intradepartmental mentor and peer coaching program
  • Inclusive company culture; access to Datadog Community Guilds (employee resource groups)
  • Free, global mental health benefits for employees and dependents age 6+
  • Competitive global benefits

Benefits and details may vary based on country of employment and employment nature with Datadog.

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:
$204,000—$255,000 USD

About Datadog: 

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. 

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Datadog San Francisco, California, USA Office

We are located in Downtown San Francisco, right across the street from Salesforce Tower. The Ferry Building and Embarcadero are just a few minutes away by foot.

Similar Jobs at Datadog

5 Hours Ago
Easy Apply
Remote or Hybrid
3 Locations
Easy Apply
150K-200K Annually
Senior level
150K-200K Annually
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Leads regional Sales Engineering teams, managers, and technical sales execution. Responsibilities include coaching and hiring, regional strategy and capacity planning, executive support for strategic opportunities, technical sales-cycle oversight, resource allocation, KPI tracking, cross-functional collaboration, and process improvement. The role partners with Sales, Product, Marketing, Enablement, and Support while supporting cloud, Kubernetes, observability, security, and AI-related customer engagements.
Top Skills: Ai ToolingApmAWSAzureDeveloper ExperienceDistributed TracingGCPKubernetesObservabilitySecurity
7 Hours Ago
Easy Apply
Hybrid
Easy Apply
Entry level
Entry level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Lead strategy, roadmap, growth, pricing, packaging, and go-to-market execution for Datadog’s Code Security product portfolio. Manage and mentor product managers, align engineering and cross-functional teams, represent products with customers and industry analysts, and drive revenue toward a multi-hundred-million-dollar business. The role requires strong product leadership, security-market expertise, analytical ability, customer focus, technical fluency, and executive communication skills.
Top Skills: Ai SecurityCloud SecurityCnappCode SecurityObservability
9 Hours Ago
Easy Apply
Hybrid
Easy Apply
99K-132K Annually
Mid level
99K-132K Annually
Mid level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Support go-to-market teams through budgeting, forecasting, and budget-versus-actual analysis. Analyze sales and marketing performance, partner with Strategy on metrics and reporting, and advise on territory management, commissions, segmentation, pricing, and packaging decisions. Build financial models, manage complex data, and provide recommendations that support cross-functional decision-making and efficient company growth.
Top Skills: ExcelPowerPointWorkday Adaptive Planning

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account