Datadog
About Datadog:
Ready to apply Before you do, make sure to read all the details pertaining to this job in the description below. We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions 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 can be a rich source of data. We’re looking for a Senior Product Manager to help us build the next generation of data processing capabilities at petabytes scale. Our vision is to enable search across external datasets and customer hosted data stores, allowing customers to optimize their observability budgets and meet data residency requirements. Work with our design partners to drive the roadmap for long-running analytical jobs, federated search, and historical log analysis—enabling new Security, AI/ML, and Business Intelligence workloads. 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 You’ll Do: Develop a deep understanding of Log Management customers, use cases, and competitors Own and execute the roadmap for large-scale log analytics, including long-running queries and historical log analysis for Security, AI/ML, and BI use cases. Build federated search capabilities, allowing customers to query datasets across Datadog and external sources (e.g., S3, GCS, Azure Blob Storage). Define and build a pivot-table-style UI for users to interactively analyze, slice, and visualize log data. Research and define log-based AI/ML use cases, exploring how logs fuel LLM training, model monitoring, and fine-tuning. Drive customer adoption and engagement, working cross-functionally with GTM teams to bring these capabilities to market. Who You Are: A proven track record as a technical product manager independently defining strategy and owning execution of a SaaS product or data streaming service A Bachelor's Degree in Computer Science or Engineering or equivalent experience 3+ years of product management experience in big data, analytics, or observability. Familiarity with distributed data processing (e.g., Apache Spark, Presto, Hadoop). Experience in log management, SIEM, or analytics platforms (e.g., Tableau, Looker, Splunk). Strong technical acumen, with experience discussing architectures and trade-offs with engineers. A passion for AI/ML and an interest in how logs support LLMs and machine learning workloads. Strong problem-solving, communication, and customer-centric skills. 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 Datadog values people from all walks of life. We know 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 experience, we encourage you to apply. The reasonably estimated yearly salary for this role at Datadog is: $187,000 — $240,000 USD. Equal Opportunity at Datadog: Datadog is an Affirmative Action and Equal Opportunity Employer and 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 more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Your Privacy: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.
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Ready to apply Before you do, make sure to read all the details pertaining to this job in the description below. We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions 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 can be a rich source of data. We’re looking for a Senior Product Manager to help us build the next generation of data processing capabilities at petabytes scale. Our vision is to enable search across external datasets and customer hosted data stores, allowing customers to optimize their observability budgets and meet data residency requirements. Work with our design partners to drive the roadmap for long-running analytical jobs, federated search, and historical log analysis—enabling new Security, AI/ML, and Business Intelligence workloads. 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 You’ll Do: Develop a deep understanding of Log Management customers, use cases, and competitors Own and execute the roadmap for large-scale log analytics, including long-running queries and historical log analysis for Security, AI/ML, and BI use cases. Build federated search capabilities, allowing customers to query datasets across Datadog and external sources (e.g., S3, GCS, Azure Blob Storage). Define and build a pivot-table-style UI for users to interactively analyze, slice, and visualize log data. Research and define log-based AI/ML use cases, exploring how logs fuel LLM training, model monitoring, and fine-tuning. Drive customer adoption and engagement, working cross-functionally with GTM teams to bring these capabilities to market. Who You Are: A proven track record as a technical product manager independently defining strategy and owning execution of a SaaS product or data streaming service A Bachelor's Degree in Computer Science or Engineering or equivalent experience 3+ years of product management experience in big data, analytics, or observability. Familiarity with distributed data processing (e.g., Apache Spark, Presto, Hadoop). Experience in log management, SIEM, or analytics platforms (e.g., Tableau, Looker, Splunk). Strong technical acumen, with experience discussing architectures and trade-offs with engineers. A passion for AI/ML and an interest in how logs support LLMs and machine learning workloads. Strong problem-solving, communication, and customer-centric skills. 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 Datadog values people from all walks of life. We know 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 experience, we encourage you to apply. The reasonably estimated yearly salary for this role at Datadog is: $187,000 — $240,000 USD. Equal Opportunity at Datadog: Datadog is an Affirmative Action and Equal Opportunity Employer and 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 more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Your Privacy: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.
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