Key skills
JavaScriptTypeScriptAIReactDatadogProject ManagementProduct ManagementCommunication
About this role
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack. The Engineering Manager will lead the Data Visualizations Explorations team, setting product direction and coaching team members to build end-to-end experiences for observability engineers.
Responsibilities:
- Work with Product Management and Design to plan and staff projects for the Data Visualization Explorations team
- Coach and develop engineers at various levels
- Ensure strong cross-team communication and design best practices around project management, code review, architecture patterns, and more
- Proactively anticipate cross-team dependencies and blockers to goals. Identify opportunities to appropriately reuse or customize features across dashboards, notebooks, and product pages
- Deeply understand the needs of our customers and other Datadog products we work with. Participate in customer conversations, review product briefs, read feature requests, and coach team members to adopt these practices as well
- Define and maintain high standards for operations practices, including bug triage and remediation, incident response, and gathering and analyzing performance telemetry for our widgets
Requirements:
- At least 2 years of people management experience in a software engineering or similar setting
- Strong TypeScript/JavaScript skills, including familiarity with frontend frameworks such as React
- Excellent communication skills, including at delivering clear, actionable, and empathetic feedback
- Product-oriented: you put solving customer problems first and know how to ship features quickly and iterate on them
- Passionate about data visualization and building intuitive, performant user interfaces
- Demonstrated sense of ownership over your team's work
- Active participant in the data visualization or software engineering community through conference talks, blog posts, open source projects, teaching/mentorship, or other practices