Product Manager – AI Security
New
P
PragmatikeCybersecurity Enterprise SaaS
India, Remote-FirstFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- Fluent English
- Experience
- 5+ years
- Required Skills
- PythonArtificial IntelligenceCybersecurityProduct ManagementRESTful APIsLLM
Requirements
- 5+ years of Product Management experience in B2B SaaS.
- 2+ years working on security, cloud infrastructure, or developer-facing products.
- Proven track record of shipping products used by enterprise security or infrastructure teams.
- Strong technical fluency: comfortable reading API specifications, discussing distributed-systems trade-offs, and understanding LLM/AI agent deployment.
- Strong written communication with the ability to produce clear PRDs, decision documents, and executive updates.
- Practical, daily use of AI tools and LLM/agentic workflows in your own product work.
- Fluent English and ability to collaborate with distributed teams.
- Strong ownership and ability to operate independently.
- Nice to have: Experience in cybersecurity domains (DLP, CASB, SIEM, EDR, CSPM/CNAPP).
- Nice to have: Practical knowledge of major cloud providers, IAM, and audit APIs.
- Nice to have: Engineering background or hands-on scripting experience (Python).
- Nice to have: Familiarity with AI compliance frameworks (EU AI Act, NIST AI RMF).
Responsibilities
- Own the roadmap, requirements, and prioritization for your product area from discovery through launch.
- Lead customer discovery with CISOs, security architects, and cloud/AI platform teams, translating customer needs into clear problem statements and PRDs.
- Partner with engineering and security research on scope, technical trade-offs, and delivery, and participate in technical design reviews.
- Define success metrics and ensure the product measures adoption, coverage, and detection effectiveness.
- Work with product marketing, sales engineering, and support on positioning, enablement, and launches.
- Track the evolving AI security landscape and translate relevant developments into product strategy.
- Use AI tools and agentic workflows to accelerate research, analysis, documentation, and day-to-day product work.
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