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Today

Principal Product Manager, SIEM and Security Operations

Gurucul El Segundo, CA

El Segundo, CA

Today

$170k - $195k/yr Full time Agentic Ai Ai Agent Ai Security

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Job Description

Own the strategy and roadmap for next-gen SIEM and SecOps, partnering with SOC practitioners and cross-functional teams to validate direction with evidence.

Responsibilities

Set target customers, priority problems, and differentiation for SIEM and SecOps; translate insights into a roadmap and investment decisions with clear rationale for what to pursue, defer, or stop.
Identify who buys and who uses the product, and what drives budget allocation; use market research, competitive analysis, win/loss insights, and analyst feedback to build business cases.
Partner with Product Marketing, Sales, and Finance on pricing, packaging, messaging, content, and go-to-market; track adoption, time to value, detection quality, and investigation and response outcomes.
Evaluate retention, expansion, and win rate with commercial teams.
Analyze how AI-enabled attacks present in telemetry and behavior; identify where detections must change to catch new tactics.
Determine where Behavioral AI and AI agents can support detection tuning, alert prioritization, investigation, and response, and where analyst oversight must remain central.
Use telemetry, Unified Entity Intelligence, and investigation evidence to guide what gets built and how success is measured.
Work with SOC leaders, analysts, detection engineers, and platform teams; observe workflows to find friction points and validate improvements.
Test ideas with prototypes, usability studies, design partners, and pilots before committing to substantial development.
Define pilot success criteria across value, usability, feasibility, and willingness to pay; evaluate AI for evidence quality, false positives, missed threats, analyst effort, latency, cost, and how often analysts overturn agent conclusions.
Turn validated customer problems into requirements: workflows, user stories, and testable acceptance criteria; cover SIEM ingestion, normalization, analytics, search, retention, investigation evidence, SOAR integrations, and response playbooks.
Collaborate with Engineering and Product Owners for backlog refinement, sprint planning, and sprint reviews; clarify requirements, resolve dependencies, review demos and test results, and make timely scope and priority tradeoffs.
Own product priorities and constraints; coordinate feasibility and tradeoffs with Engineering (architecture and implementation ownership).
Agree on release readiness for security, privacy, access controls, human approval, reliability, scale, and performance.
Coordinate shared capabilities with IRM and AI Risk and Response product teams, including how SIEM data and detections support monitoring of AI agents.
Build alignment and earn support across teams and leadership; surface risks early, use evidence to resolve disagreements, and communicate roadmap decisions and delivery expectations.
Represent Gurucul in analyst briefings, customer discussions, webinars, and conferences; demonstrate the product, explain direction, and partner on positioning, launches, competitive guidance, and sales enablement.

Requirements

8+ years of product management or equivalent product leadership experience, including 3+ years in enterprise cybersecurity or SecOps products, with ownership of strategy and delivery.
Experience operating in a fast-growing environment with startup-like constraints, balancing strategic investment, customer commitments, and engineering capacity.
Working understanding of SIEM architecture and SOC workflows, from telemetry ingestion and normalization through analytics, detection, investigation, and response; working knowledge of SOAR integrations and playbooks.
Understanding of how AI and ML apply to security analytics, including behavioral models, AI agents, evidence quality, evaluation, and human oversight; awareness of how attackers are starting to use AI.
Ability to assess market opportunities, buyers, competitors, and investment choices; contribute to pricing and packaging with experience in decisions that improve adoption or business outcomes.
Comfort discussing data architecture, integrations, APIs, analytics, and enterprise SaaS; ability to write clear requirements and navigate product tradeoffs with Engineering.
Experience using interviews, hypothesis testing, prototypes, and pilots to guide product decisions; able to explain how evidence changed the roadmap and how results were measured.
Clear communication and ability to lead customer discussions and demonstrations; capable of briefing analysts, speaking publicly, and answering challenging questions.

Technologies

SIEM, SecOps, SOAR
Unified Entity Intelligence
AI agents, Behavioral AI, AI, ML
APIs, Enterprise SaaS

Benefits

Annual base salary range: $170,000–$195,000.
Medical, dental, vision, and life insurance
EAP
401K
Paid Time Off
Paid holidays

Preferred Qualifications (Nice to Have)

Experience delivering AI- or ML-powered detection, security analytics, or investigation capabilities, including agentic or LLM-based features, with performance evaluation in production.
Experience with security data lakes, customer-owned storage, distributed analytics, or large-scale SIEM deployments.
Experience with SOAR playbooks, response integrations, and deployment across SaaS, cloud, on-premises, or hybrid environments.
Experience launching or expanding products at a smaller or growing enterprise software company, or leading industry analyst briefings and public presentations.

Location

Hybrid in El Segundo, CA, or remote within the US.

Apply

Send resumes to jobs@gurucul.com.

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