Product Manager - Security Analytics, Threat Intelligence & AI (Redwood City, CA)

Anomali•Redwood City, CA

3d•Hybrid

About The Position

Anomali is building the next generation of AI-driven security operations, combining threat intelligence, security analytics, and autonomous workflows to help security teams detect, investigate, and respond faster. We are looking for a Product Manager to join our growing product team and work across core areas of our platform, including threat intelligence, security analytics, and AI. This is a horizontal, cross-functional role for a PM who wants to build deep technical and domain expertise across the security operations stack while owning meaningful product areas end-to-end. You will own discrete product areas and features, partner closely with engineering, design, data, field, and go-to-market teams, and execute within a strategic framework set by Product Leadership. This is not a siloed role. Success requires strong alignment with company direction and the ability to translate strategy into clear, practical execution.

Requirements

You are a product manager who can take complex, ambiguous problems and turn them into shipped capabilities with clear customer and business impact.
3+ years of product management experience, or equivalent experience in a technical or product-adjacent role such as engineering, TPM, or solutions architecture with relevant technologies
Bachelor's degree in Computer Science or other relevant discipline required.
Demonstrated ability to translate ambiguity into structured requirements with clear acceptance criteria
Comfort working across technical and business audiences; you can collaborate deeply with engineers and communicate effectively with senior security leaders, including CISOs
Ability to operate effectively in a matrixed, cross-functional environment, taking strategic direction from Product Leadership while owning execution at the feature and product-area level
Familiarity with agile development practices and modern PM tooling such as Jira, Confluence, or similar platforms
Strong written and verbal communication skills; clear, direct, and accountable in how you work
Ownership mindset, bias for action, and a track record of following through
Fundamental capabilities with AI and curiosity around how it is reshaping security operations
The successful candidate must not now, or in the future, require visa sponsorship to work in the US

Nice To Haves

Master's degree in Computer Science, Information Systems, Data, MBA or other relevant advanced education or certifications highly desirable
Exposure to cybersecurity, security operations, or adjacent domains such as threat intelligence, SIEM, SOAR, or EDR
Experience building SaaS platforms, data products, analytics systems, or AI/ML-driven applications
Background in computer science, engineering, or a related technical field
Familiarity with the broader security data and tooling ecosystem
You do not need deep security experience on day one, but you should be excited to ramp quickly in the domain

Responsibilities

Own the full product lifecycle for assigned features and capabilities, from discovery and requirements through launch, adoption, and iteration
Translate ambiguous problems into clear PRDs, user stories, and acceptance criteria that enable high-quality engineering execution
Engage directly with customers and prospects to uncover real needs, validate solutions, and continuously refine the product
Partner closely with engineering, design, data, intelligence, analytics, AI, and field teams to ensure product decisions are grounded in platform capabilities and customer outcomes
Align roadmap priorities with Product Leadership and company strategy while shaping feature-level direction and execution
Support go-to-market efforts through competitive analysis, sales enablement, and customer-facing documentation
Communicate progress, risks, trade-offs, and recommendations clearly to stakeholders across product, engineering, go-to-market, and leadership teams
Contribute to Anomali’s evolving AI roadmap, helping define how autonomous workflows and agentic capabilities are incorporated into the platform