Requirements & tools
Datadog
The Senior Product Manager, Serverless at Datadog owns and drives the roadmap for AWS Serverless observability products — primarily Lambda, Fargate, and Step Functions monitoring. Responsibilities include defining how developers monitor, debug, and operate serverless systems across distributed environments; partnering with engineering and design to deliver end-to-end product capabilities from concept through launch and iteration; and collaborating with AWS product teams to align roadmaps and deliver joint solutions for shared customers. The role engages directly with customers to understand serverless adoption patterns, validate product direction, and define success metrics including adoption, usage, and developer-workflow impact. Required: 5+ years of product management experience building technical products in cloud infrastructure, developer platforms, or observability; strong understanding of distributed systems and modern application development practices; familiarity with serverless technologies, containers, Kubernetes, or microservices; and comfort discussing technical design, tradeoffs, and implementation details with engineers. Datadog’s hybrid model emphasizes office culture for cross-team collaboration. Benefits include new-hire RSUs, ESPP, generous global benefits, and cross-departmental mentorship.
To apply for this job email your details to artem.leghnev@hotger.com
Role context
Senior Product Managers for serverless observability tools own roadmaps spanning AWS Lambda, Fargate, and Step Functions — categories that grew over 40% year-over-year in enterprise cloud spend. At Datadog, this role defines how developers monitor, debug, and operate serverless systems across distributed environments. The position sits at the intersection of cloud infrastructure, developer experience, and AI-powered workflows. Datadog’s observability platform serves customers including Samsung, Whole Foods, and Peloton; serverless represents one of the fastest-growing product categories. Hybrid work model with Boston or New York City offices and three coordinated in-office days per week. Reports into the Serverless product leadership team and partners closely with AWS.
Quick facts
Frequently Asked Questions
What is the difference between Senior PM Serverless and Senior PM Containers at Datadog?
Serverless PMs focus on FaaS and managed-runtime monitoring (AWS Lambda, Fargate, Step Functions, Azure Functions, GCP Cloud Run). Containers PMs focus on container orchestration observability (Kubernetes, ECS, EKS, AKS). The two product areas share underlying observability primitives but serve different developer personas — serverless attracts event-driven and ephemeral workloads, containers attract long-running stateful services.
How technical does a Senior PM Serverless at Datadog need to be?
The role requires fluency in distributed systems concepts and the ability to discuss technical design, tradeoffs, and implementation details with engineers. Practical requirement: comfortable reading and writing pseudocode, understanding async patterns, cold-start tradeoffs, distributed tracing, and IAM-based authorization models. Direct coding is not expected day-to-day; technical literacy is.
What is the relationship between Datadog and AWS for serverless products?
Datadog is an AWS Partner Network Premier Tier Services Partner and Lambda Ready partner. The Senior PM Serverless role explicitly collaborates with AWS product teams on aligned roadmaps and joint customer solutions. Practically this includes pre-release access to new Lambda features, co-marketing on serverless launches, and integration depth that competitors lack.