- Experience
- 5+ yrs
- Salary
- —
- Openings
- 2
- Posted
- 6 days ago
- Work mode
- Work from home
- Resume
- Required to apply
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Job description
About the Role
This full-time remote position based in India focuses on leading product management within the cybersecurity and AI security domains. You will play a pivotal role in shaping innovative solutions that secure AI agents, large language model-powered applications, and their data access across enterprise environments.
Key Responsibilities
- Manage end-to-end product lifecycle from discovery through launch for core AI security platform functionalities.
- Lead customer discovery efforts by engaging with CISOs, security architects, and cloud/AI platform teams to transform requirements into precise problem definitions and product requirement documents (PRDs).
- Collaborate closely with engineering, security researchers, design teams, and enterprise clients on scoping, technical trade-offs, and delivery, including participation in technical design reviews.
- Establish product success metrics focusing on adoption, coverage, and detection efficiency.
- Coordinate with product marketing, sales engineering, and support teams to ensure effective positioning, enablement, and launch of products.
- Monitor evolving AI security landscape including agent frameworks, LLM providers, regulatory updates, and competitor activity, incorporating these insights into product strategy.
- Utilize AI tools and agentic methodologies to streamline research, analysis, documentation, and daily product operations.
Candidate Profile
- Minimum 5 years in product management within B2B SaaS, including at least 2 years in security, cloud infrastructure, or developer-oriented products.
- Demonstrable experience releasing enterprise-level security or infrastructure products with measurable business impact.
- High technical literacy, including reading API specifications, evaluating distributed system trade-offs, and understanding deployment of LLM applications and AI agents.
- Excellent written communication capabilities to create clear PRDs, decision-making documents, and executive briefings.
- Daily practical experience using AI technologies and agentic workflows as part of product development.
- Fluent English skills and adeptness at collaborating with geographically and culturally diverse teams.
- Strong ownership mentality with the capacity to work autonomously in a dynamic setting.
Desirable Qualifications
- Experience in cybersecurity product areas such as DLP, CASB, SIEM, EDR, CSPM/CNAPP, or AI security solutions.
- In-depth understanding of major cloud providers, including knowledge of services, Identity and Access Management (IAM), and audit/inventory APIs.
- Background in software engineering or proficiency in scripting languages, particularly Python.
- Familiarity with AI regulatory frameworks like the EU AI Act or NIST AI RMF.
- Prior involvement in integrating AI-assisted or agentic workflows into product teams.
AI Integration in the Team
AI is integral to the team's operating model. Candidates will be evaluated on how they utilize AI in product research, decision-making, and productivity enhancement beyond basic writing assistance. The ideal candidate leverages AI as a powerful tool for problem-solving and workflow optimization.
Why Work Here
- Opportunity to develop next-generation cybersecurity products focused on AI and agentic systems.
- Collaborate with multidisciplinary teams and enterprise clients addressing cutting-edge security challenges.
- Lead a product area with substantial visibility and strategic impact.
- Influence how organizations identify, analyze, and protect AI-driven systems.
- Join a technically sophisticated, distributed team in which AI is central to daily processes.
Diversity and Privacy Commitment
The recruitment process is designed to be fair, transparent, and inclusive, without discrimination based on any protected characteristic. Personal data will be handled according to GDPR principles and used solely for recruitment purposes, including sharing with clients for evaluation.