We are seeking a mid-level product manager with strong AI fluency to help define and execute our product vision across cyber defense and enterprise-scale platforms. You will blend classic product management capabilities with deep curiosity and hands-on understanding of AI technologies-especially where they can optimize workflows, improve threat detection, or enhance automation.
Youll work cross functionally with Engineering, Marketing, Sales, and Customer Success to translate market needs into product capabilities and deliver intuitive, scalable solutions that drive customer impact.
Responsibilities :
Translate customer needs, market trends, and competitive signals into clear product requirements.
Identify and prioritize AI driven opportunities (e.g., automation, predictive modeling, LLM based workflows).
Collaborate with Engineering & Data Science to scope and validate AI/ML features, ensuring they are ethical, explainable, and privacy aligned.
Support the product roadmap with clear rationale, prioritization, and measurable outcomes.
Execution & Delivery
Write detailed user stories and acceptance criteria.
Lead cross functional product discussions, backlog grooming, and sprint planning.
Partner with UX/UI to design intuitive AI powered user experiences.
Track development progress and ensure feature delivery meets quality standards.
Customer & Market Engagement
Engage with customers and internal stakeholders to gather feedback and validate product direction.
Work closely with Customer Success and Sales to understand usage patterns, pain points, and value drivers.
Represent the product in customer meetings, webinars, and partner discussions.
GTM & Measurement
Collaborate with Marketing to build messaging and sales enablement materials.
Support launches of new features and capabilities.
Monitor KPIs, product performance metrics, and adoption of AI features; use insights to refine roadmap.
Requirements: 2-4 years of Product Management experience in B2B SaaS, cybersecurity, data platforms, or enterprise software.
Experience working with or around AI/ML technologies, including understanding of LLM use cases, model evaluation, or AI assisted workflows.
Ability to translate complex technical concepts into user friendly requirements.
Proven experience leading cross functional initiatives and managing end-to-end feature delivery.
Strong analytical skills; proficient with data analysis and experimentation environments.
Hands-on experience working with Engineering teams.
Excellent communication, stakeholder management, and presentation abilities.
Curious, collaborative, proactive mindset with a passion for innovation.
This position is open to all candidates.