Senior AI Product Manager at Axonius

- City
- Tel Aviv
- Type
- Jobs & gigs · Job
- Employer
- Axonius
- Field
- Tech & IT
- Work location
- Hybrid
- Hebrew
- Not stated in the ad
- Posted
- 28 October 2026
- Expires
- 27 November 2026
The role
The Product group at Axonius is looking for a Senior AI Product Manager in Tel Aviv, working hybrid, to decide how its platform develops as AI advances. You lead the planning and delivery of AI-powered and agent-based features that change how customers work and deal with hard enterprise problems, making new AI technology dependable, simple to use and able to scale.
What you will do
- Own strategy, roadmap and delivery for AI-powered and agent-based capabilities, from discovery to launch.
- Find workflows worth rethinking, and create agent-driven experiences that solve real customer problems.
- Define how AI agents behave with users, draw on tools and context, and help customers act on what they learn.
- Assess new AI technology, and make sure these features are reliable and transparent and leave users suitably in control.
- Work with enterprise customers and internal teams to test ideas, set priorities and deliver results.
What you need
- 5 or more years of product management in complex B2B SaaS.
- A strong understanding of agentic AI, including orchestration, agent architecture, tool use, context management, control and reliability.
- Good product sense and UX judgment, turning AI capabilities into simple experiences built around the customer.
- Hands-on use of AI tools to explore what they can do, build prototypes and test product ideas.
- Experience of the whole product lifecycle from discovery to go-to-market, including direct work with enterprise customers.
Nice to have
- A background in complex enterprise systems, data-heavy products or technical platforms.
- Making decisions from data, and working closely with technical teams on difficult product problems.
About Axonius
Axonius brings together data from all of an organization's IT systems, covering assets, software, SaaS applications, identities, vulnerabilities and infrastructure. Security, IT and GRC teams use it to tackle exposures, misconfigurations and overspending.