Senior Product Manager - Log Analytics

Datadog • New York, NY

265d

About The Position

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. 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.

Requirements

• 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.

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Career Level: Senior
• Industry: Publishing Industries
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees