About Datadog:
Were on a mission to build the best platform in the world for engineers operations and security teams to understand secure and scale their systems applications and teams. We operate at high scaletrillions of data points per day allowing for seamless collaboration and problem-solving among DevOps and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism honesty and simplicity to solve hard problems the right way.
The Team:
Logs are one of the richest sources of operational security and business data: powering use cases such as troubleshooting threat detection high volume log optimization business transaction monitoring and compliance. Were looking for a Product Manager II to help build the next generation of AI-powered log management capabilities. Our vision is to make it radically faster and easier for engineers operators and security teams to ingest explore and extract actionable insights from petabytes of log data using AI-first experiences.
Youll work across the log lifecycle from ingestion and processing pipelines to exploration and analytics partnering with engineering design and data science to ship features that leverage agentic AI natural language querying and intelligent automation to transform how customers interact with their logs.
At Datadog we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What Youll Do:
- Develop a deep understanding of the day-to-day life of infrastructure operations and security teams that rely on logs to measure the health performance and security posture of their systems.
- Identify and prioritize high-impact use cases where AI-driven log analytics can deliver outsized customer value such as intelligent log pattern detection anomaly identification AI-assisted root cause analysis and natural language querying.
- Define and build experiences that combine Agentic AI Workflows and Analytics to create next-generation investigation and remediation runbooks for operations and security teams.
- Collaborate with engineering design and data science teams to build and iterate on AI-driven insights automation and workflow applications on top of log data.
- Drive customer adoption and engagement working cross-functionally with GTM teams to bring these capabilities to market.
- Drive thought leadership by creating blog posts webinars and conference talks that showcase Datadogs AI-powered log management capabilities.
Who You Are:
- A Bachelors Degree in Computer Science or Engineering or equivalent experience.
- 3 years of product management experience in AI/ML-powered product features (such as anomaly detection NLP-based search or agentic AI workflows) analytics observability or infrastructure.
- A proven track record as a technical product manager independently defining strategy and owning execution of a SaaS product or data platform.
- You are an AI-native product manager you actively use AI coding tools (e.g. Claude Code Cursor etc.) to prototype analyze data and accelerate your own productivity. You have a GitHub that demonstrates what youve built using these tools.
- Highly motivated to hit the ground running with a strong sense of ownership and independence. Strong problem-solving communication and customer-centric mindset.
Bonus Points:
- Experience in Log Management observability or analytics platforms (e.g. Splunk Elastic ClickHouse Tableau Looker).
- Experience with databases data warehouses or SQL-based analytics at petabyte scale.
- Familiarity with major cloud providers (AWS Azure GCP) and concepts like cloud-native logging log routing and archival strategies.
Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. Thats okay. If youre passionate about technology and want to grow your experience we encourage you to apply.
Benefits & Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development product training and career pathing
- Intra-departmental mentor and buddy program for in-house networking
- An inclusive company culture ability to join our Community Guilds
- Access to Inclusion Talks our Internal panel discussions
- Free global Spring Health benefits for employees and dependents age 6
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
Required Experience:
IC
About Datadog:Were on a mission to build the best platform in the world for engineers operations and security teams to understand secure and scale their systems applications and teams. We operate at high scaletrillions of data points per day allowing for seamless collaboration and problem-solving am...
About Datadog:
Were on a mission to build the best platform in the world for engineers operations and security teams to understand secure and scale their systems applications and teams. We operate at high scaletrillions of data points per day allowing for seamless collaboration and problem-solving among DevOps and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism honesty and simplicity to solve hard problems the right way.
The Team:
Logs are one of the richest sources of operational security and business data: powering use cases such as troubleshooting threat detection high volume log optimization business transaction monitoring and compliance. Were looking for a Product Manager II to help build the next generation of AI-powered log management capabilities. Our vision is to make it radically faster and easier for engineers operators and security teams to ingest explore and extract actionable insights from petabytes of log data using AI-first experiences.
Youll work across the log lifecycle from ingestion and processing pipelines to exploration and analytics partnering with engineering design and data science to ship features that leverage agentic AI natural language querying and intelligent automation to transform how customers interact with their logs.
At Datadog we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What Youll Do:
- Develop a deep understanding of the day-to-day life of infrastructure operations and security teams that rely on logs to measure the health performance and security posture of their systems.
- Identify and prioritize high-impact use cases where AI-driven log analytics can deliver outsized customer value such as intelligent log pattern detection anomaly identification AI-assisted root cause analysis and natural language querying.
- Define and build experiences that combine Agentic AI Workflows and Analytics to create next-generation investigation and remediation runbooks for operations and security teams.
- Collaborate with engineering design and data science teams to build and iterate on AI-driven insights automation and workflow applications on top of log data.
- Drive customer adoption and engagement working cross-functionally with GTM teams to bring these capabilities to market.
- Drive thought leadership by creating blog posts webinars and conference talks that showcase Datadogs AI-powered log management capabilities.
Who You Are:
- A Bachelors Degree in Computer Science or Engineering or equivalent experience.
- 3 years of product management experience in AI/ML-powered product features (such as anomaly detection NLP-based search or agentic AI workflows) analytics observability or infrastructure.
- A proven track record as a technical product manager independently defining strategy and owning execution of a SaaS product or data platform.
- You are an AI-native product manager you actively use AI coding tools (e.g. Claude Code Cursor etc.) to prototype analyze data and accelerate your own productivity. You have a GitHub that demonstrates what youve built using these tools.
- Highly motivated to hit the ground running with a strong sense of ownership and independence. Strong problem-solving communication and customer-centric mindset.
Bonus Points:
- Experience in Log Management observability or analytics platforms (e.g. Splunk Elastic ClickHouse Tableau Looker).
- Experience with databases data warehouses or SQL-based analytics at petabyte scale.
- Familiarity with major cloud providers (AWS Azure GCP) and concepts like cloud-native logging log routing and archival strategies.
Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. Thats okay. If youre passionate about technology and want to grow your experience we encourage you to apply.
Benefits & Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development product training and career pathing
- Intra-departmental mentor and buddy program for in-house networking
- An inclusive company culture ability to join our Community Guilds
- Access to Inclusion Talks our Internal panel discussions
- Free global Spring Health benefits for employees and dependents age 6
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
Required Experience:
IC
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