Senior PM, SIEM & Data — AI-First Security Platform

eSentire

United States

On-site

USD 160,000 - 180,000

Full time

3 days ago
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Benefits offered by this job

Travel 25% occasional travel

Job summary

eSentire is seeking a Senior Product Manager for SIEM & Data to own Atlas' SIEM, log management and security data capabilities. You will define requirements, drive cross-functional collaboration, and guide product strategy across engineering, SOC, and go-to-market teams, delivering impactful analytics and data-driven security improvements.

You will work closely with customers and prospects to translate needs into MRDs/PRDs, while shaping AI-led product development and rapid release cycles to

Qualifications

  • 5+ years of product management experience, with a track record of shipping complex B2B platform or data products.
  • 2+ years working with SIEM (such as Splunk, Microsoft Sentinel, Sumo Logic) or SOAR/XDR platforms, or data platforms and data lakes (such as Snowflake, Google BigQuery, Amazon Redshift).
  • In-depth understanding of SIEM, XDR, SOAR, log management, analytics, endpoint security, networks and cloud services.
  • Expertise in network security across on-premise, SaaS and IaaS environments.
  • Knowledge of detection engineering and threat research.
  • Hands-on experience using AI tools such as Claude and Claude Code in product work, for example drafting specs, analyzing data, or building prototypes.
  • Familiarity with agentic workflows, product-led prototyping and rapid release cycles.
  • Self-motivated, entrepreneurial, and comfortable owning outcomes in fast-paced environments with overlapping deliverables.
  • Strong written and verbal communication and presentation skills; able to present to executives and customers.
  • Strong interpersonal skills, leading and contributing to cross-functional teams without direct authority.
  • Proven analytical and problem-solving skills.
  • Bachelor's degree in engineering, information systems or a related field.

Responsibilities

  • Define and own the multi-year roadmap for SIEM, log management and security data within Atlas, and communicate it to internal and external stakeholders.
  • Translate customer business needs into product strategy, MRDs and PRDs, using AI tools and prototypes to shorten the path from problem to spec.
  • Maintain the backlog and drive day-to-day requirements with engineering: clear user stories, acceptance criteria and priorities that keep high-quality releases on schedule.
  • Work with UX/UI designers and development teams on workflows and look-and-feel so end users get an excellent experience.
  • Run ongoing discovery with customers, prospects and internal practitioners to validate direction and surface unmet needs.
  • Develop sales tools and marketing content for sales and field marketing teams, and build financial and market models that guide pricing, packaging and launch decisions.
  • Maintain the competitive matrix and intelligence materials, including hands-on product testing.
  • Work with technology partners to source tools and data sources that extend Atlas.
  • Work with SOC, Customer Success, Deployments, Engineering and others to define the processes that support the service.
  • Define and track KPIs tied to adoption, data quality and customer risk reduction, and use them to drive prioritization.

Skills

Product management
SIEM
Security analytics
Network security
Detection engineering
AI tools
Agentic workflows
Self-motivation
Communication skills
Cross-functional leadership
Analytical skills

Education

Bachelor's degree in engineering or information systems

Tools

Jira
Confluence
Aha

Job description

eSentire is seeking a Senior Product Manager for SIEM & Data to own Atlas' SIEM, log management and security data capabilities. You will define requirements, drive cross-functional collaboration, and guide product strategy across engineering, SOC, and go-to-market teams, delivering impactful analytics and data-driven security improvements.

You will work closely with customers and prospects to translate needs into MRDs/PRDs, while shaping AI-led product development and rapid release cycles to

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