We are looking for a Senior Product Manager to lead our AI Agents strategy and execution – defining how autonomous and semi-autonomous agents can help security and platform teams operate faster, smarter, and more effectively.
This is a highly strategic role for a product leader who combines deep technical curiosity with strong business acumen. You will own the product vision end-to-end, working closely with customers, engineering, research, and go-to-market teams to build AI-powered capabilities that solve real customer problems and drive measurable business outcomes.
If you thrive at the intersection of AI, cloud security, customer engagement, and product strategy, this is an opportunity to shape the future of cloud-native security.
What You Will Own:
Define and drive the vision, strategy, and roadmap for AI Agents platform and related capabilities
Identify high-value use cases for autonomous and agent-assisted workflows across cloud security, operations, and developer experiences
Work directly with customers, partners, and field teams to deeply understand pain points, validate assumptions, and uncover new opportunities
Translate customer needs, market insights, and business objectives into differentiated product capabilities
Drive both outbound and inbound product management activities, including market analysis, competitive intelligence, customer discovery, and product positioning
Partner closely with Engineering, Security Research, Data Science, and Design teams to deliver scalable, production-ready AI solutions
Define success metrics and leverage product analytics to drive adoption, engagement, and business impact
Collaborate with Product Marketing, Sales, and Customer Success to develop compelling messaging, enablement materials, and go-to-market strategies
Prioritize investments and make informed trade-off decisions across customer value, technical complexity, and business impact
Represent the product internally and externally, acting as a trusted advisor for customers, partners, and industry stakeholders
This is a highly strategic role for a product leader who combines deep technical curiosity with strong business acumen. You will own the product vision end-to-end, working closely with customers, engineering, research, and go-to-market teams to build AI-powered capabilities that solve real customer problems and drive measurable business outcomes.
If you thrive at the intersection of AI, cloud security, customer engagement, and product strategy, this is an opportunity to shape the future of cloud-native security.
What You Will Own:
Define and drive the vision, strategy, and roadmap for AI Agents platform and related capabilities
Identify high-value use cases for autonomous and agent-assisted workflows across cloud security, operations, and developer experiences
Work directly with customers, partners, and field teams to deeply understand pain points, validate assumptions, and uncover new opportunities
Translate customer needs, market insights, and business objectives into differentiated product capabilities
Drive both outbound and inbound product management activities, including market analysis, competitive intelligence, customer discovery, and product positioning
Partner closely with Engineering, Security Research, Data Science, and Design teams to deliver scalable, production-ready AI solutions
Define success metrics and leverage product analytics to drive adoption, engagement, and business impact
Collaborate with Product Marketing, Sales, and Customer Success to develop compelling messaging, enablement materials, and go-to-market strategies
Prioritize investments and make informed trade-off decisions across customer value, technical complexity, and business impact
Represent the product internally and externally, acting as a trusted advisor for customers, partners, and industry stakeholders
Requirements:
7+ years of experience in Product Management, with a proven track record of launching and scaling enterprise software products
Strong business orientation with experience driving product strategy, go-to-market initiatives, and commercial outcomes
Experience leading both outbound and inbound product management activities
Strong technical foundation with the ability to engage in discussions around cloud architecture, APIs, data pipelines, and AI systems
Proven experience working directly with enterprise customers and translating customer feedback into successful products
Excellent communication, storytelling, and executive presentation skills
Data-driven mindset with the ability to define KPIs and measure product success
Strong collaboration and stakeholder management skills across technical and business teams
High ownership mindset and ability to thrive in fast-paced, evolving environments
Nice to Have:
Experience building or managing AI-powered products, copilots, agents, or workflow automation platforms
Familiarity with LLMs, agent orchestration frameworks, prompt engineering, and AI evaluation methodologies
Background in cloud security, DevSecOps, cybersecurity, or cloud-native technologies
Experience with Kubernetes, containers, and SaaS platforms
MBA or equivalent business experience
7+ years of experience in Product Management, with a proven track record of launching and scaling enterprise software products
Strong business orientation with experience driving product strategy, go-to-market initiatives, and commercial outcomes
Experience leading both outbound and inbound product management activities
Strong technical foundation with the ability to engage in discussions around cloud architecture, APIs, data pipelines, and AI systems
Proven experience working directly with enterprise customers and translating customer feedback into successful products
Excellent communication, storytelling, and executive presentation skills
Data-driven mindset with the ability to define KPIs and measure product success
Strong collaboration and stakeholder management skills across technical and business teams
High ownership mindset and ability to thrive in fast-paced, evolving environments
Nice to Have:
Experience building or managing AI-powered products, copilots, agents, or workflow automation platforms
Familiarity with LLMs, agent orchestration frameworks, prompt engineering, and AI evaluation methodologies
Background in cloud security, DevSecOps, cybersecurity, or cloud-native technologies
Experience with Kubernetes, containers, and SaaS platforms
MBA or equivalent business experience
This position is open to all candidates.
