Senior Product Manager, AI-Driven Security Operations
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Job Location:
Redwood City, CA - USA
Monthly Salary:
$ 170000 - 200000
Posted on:
6 days ago
Vacancies:
1 Vacancy
Job Summary
Company Description:
Anomali is headquartered in Silicon Valley and is the Leading AI-Powered Security Operations Platform that is modernizing security operations. At the center of it is an omnipresent intelligent and multilingual Anomali Copilot that automates key workflows and empowers your team to deliver critical threat insights to leadership in seconds.
Anomali unifies ETL SIEM XDR SOAR and the worlds largest repository of global intelligence into a single cloud-native platform that improves detection speeds investigations and reduces costs at scale.
Do more with less. Be Different. Be the Anomali.
Job Description:
This role requires a strong technical understanding ofAI/ML systems including LLMs retrieval-augmented reasoning multi-agent orchestration prompt engineering reinforcement learning and model evaluation and the ability to translate these capabilities into production-ready reliable and safe AI-driven features for security operations.
You will work closely with Engineering Data Science and Security Research teams to define technical requirements prioritize features and guide the development of an autonomous SOC product that automates threat detection triage response and analyst decision support at scale.
This is ahands-on high-impact product role combining technical fluency operational understanding and strategic vision to shape the future of autonomous AI in enterprise security.
Key Responsibilities:
o AI-Driven Product Strategy:Define the vision roadmap and success metrics for autonomous SOC features ensuring alignment between AI capabilities SOC workflows and customer needs.
o Technical Requirements & Architecture Input:Translate AI research into scalable production-grade features including agentic AI workflows automated triage alert prioritization threat detection and multi-agent orchestration.
o Model Evaluation & Reliability:Partner with evaluation and reliability teams to define SLIs/SLOs performance KPIs and operational guardrails for autonomous AI systems.
o Workflow Translation:Map SOC analyst and incident response workflows to AI automation opportunities while ensuring usability explainability traceability and auditability.
o Cross-Functional Leadership:Collaborate with Product Engineering Security Research UX and GTM teams to drive feature prioritization validate technical feasibility and ensure production readiness.
o Thought Leadership & Industry Presence:Represent the product internally and externally through executive briefings panels webinars and whitepapers to highlight AI-driven SOC automation.
Qualifications
Required Skills/Experience:
o 5 years of Product Management experience with hands-on experience defining AI/ML products or systems.
o Strong technical understanding of LLMs multi-agent systems retrieval-augmented reasoning prompt engineering reinforcement learning and evaluation frameworks.
o Proven experience translating complex AI capabilities into production-ready features.
o Deep understanding of SOC workflows incident response and enterprise security operations.
o Proven ability to define success metrics evaluate model performance and monitor reliability of AI systems in production.
o Excellent communication skills to bridge technical product and security teams.
oThis position is not eligible for employment visa sponsorship. The successful candidate must not now or in the future require visa sponsorship to work in the US
o For candidates in the Bay area this position is onsite/hybrid at our Redwood City CA office. Currently the team is working a hybrid schedule: Mon/Tue/Wed onsite and Thu/Fri remote. We will also consider remote candidates located within the Unites States.
Preferred Qualifications:
o Experience with production AI systems: multi-agent orchestration tool-using agents autonomous workflows or real-time ML/AI pipelines.
o Familiarity with AI safety adversarial testing explainability and auditability frameworks.
o Experience delivering AI-driven products in high-growth startup or fast-moving enterprise environments.
o Advanced degree in Computer Science Machine Learning AI or a related field.
Equal Opportunities Monitoring
It is our policy to ensure that all eligible persons have equal opportunity for employment and advancement on the basis of their ability qualifications and aptitude. We select those suitable for appointment solely on the basis of merit without regard to an individuals disability race color religion sex sexual orientation gender identity national origin age or status as a protected veteran. Monitoring is carried out to ensure that our equal opportunity policy is effectively implemented.
If you are interested in applying for employment with Anomali and need special assistance or accommodation to apply for a posted position contact our Recruiting team atemailprotected.
Compensation Transparency
$170000 - $200000 USD
Please note that the annual base salary range is a guideline and for candidates who receive an offer the base pay will vary based on factors such as work location as well as knowledge skills and experience of the addition to base pay this position is eligible for benefits and may be eligible for incentive compensation and/or equity.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
Key Skills
- Splunk
- Compliance Management
- IDS
- SOC
- Cybersecurity
- Identity & Access Management
- Security
- Information Security
- Process Engineering
- Metadata
- Encryption
- Siem
About Company
Anomali is a security and IT operations platform harnessing the power of AI to deliver breakthrough threat detection, visibility, and cyber exposure management.
