Staff Software Engineer - Product Analytics

Requirements:

• You have a BS/MS/PhD in a scientific field or equivalent experience.
• 10+ years of backend engineering experience.
• Strong background in distributed systems and large-scale data processing.
• Deep experience with SQL, query optimization, and large analytical datasets.
• Comfortable leading build/buy evaluations and integrating open-source or third-party systems when needed.
• Effective communicator able to explain technical tradeoffs to both technical and non-technical partners.
• Product-minded with strong judgment about customer value, even when solving highly technical problems.
• Passionate about mentoring, raising the bar, and shaping a growing product area.

What You'll Be Doing:

• Partner closely with engineering, product, and design to architect and deliver a backend platform purpose-built for product analytics workloads.
• Lead high-visibility technical initiatives, including:
  • Long-term data storage and retrieval for year-plus behavioral datasets.
  • Distributed query patterns for funnel, retention, and segmentation analysis.
  • Caching and optimization layers tailored to large analytical queries.
  • Build-vs-buy evaluations, including collaboration with internal platform teams and integration of open-source tools where appropriate.
• Define the technical roadmap for Product Analytics and align multiple engineering teams around shared goals and architectural principles.
• Work across organizations to bridge product needs with the right internal or external technologies.
• Provide technical mentorship and help grow the next generation of senior engineers within the team.

Perks and 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, ability to join our Community Guilds (Datadog employee resource groups)
• Competitive global benefits
• Giving programs