Product Manager II – Risk-Based Alerting (SIEM)

Datadog•New York, NY

7d•$165,000 - $215,000•Hybrid

About The Position

As a Product Manager II for Risk-Based Alerting within Datadog’s Cloud SIEM, you will define and deliver intelligent alerting systems that help security teams focus on the most critical threats. You’ll work at the intersection of security, data, and user experience to reduce alert noise, improve signal quality, and enable faster, more confident incident response. Partnering closely with customers and internal teams, you will shape how risk is modeled, prioritized, and surfaced across the platform. This role offers the opportunity to influence core security workflows and drive meaningful outcomes for security teams operating at scale. 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.

Requirements

3+ years of product management experience building enterprise software for technical users; experience in security or observability is preferred
Familiarity with security operations workflows such as threat detection, incident response, or detection engineering
Strong product sense with the ability to balance technical systems thinking and intuitive user experience design
Experience working cross-functionally with engineering, data science, and go-to-market teams to deliver impactful products
Data-driven and structured in your approach to problem-solving, prioritization, and decision-making
Effective communicator, able to translate complex technical concepts into clear value for diverse audiences

Responsibilities

Define and drive the product vision for Risk-Based Alerting, focusing on improving signal quality and reducing alert fatigue for security teams
Design and evolve risk scoring frameworks using telemetry, user behavior, threat intelligence, and contextual signals
Partner with customers and security practitioners to understand triage workflows and translate insights into product improvements
Collaborate with engineering, data science, and security teams to build scalable detection pipelines, enrichment systems, and prioritization models
Own the end-to-end product lifecycle, from discovery and requirements through launch, iteration, and long-term strategy
Define and track success metrics such as alert fidelity, signal-to-noise ratio, MTTD/MTTR, and product adoption