Senior Product Manager

Required Senior Product Manager
Role summary:
Glilot, Israel
Hybrid
Full-time
The PM on an AI-native team is a business owner in the fullest sense. They own the problem space, the customer, the data, the roadmap, the communication, and the outcome.
AI tools remove the operational overhead that previously prevented PMs from operating at this level.
This is a demanding profile. The PM needs to be experienced enough to exercise judgment under ambiguity, commercially minded enough to connect product decisions directly to business outcomes, and technically literate enough to work alongside engineers without becoming a bottleneck.
The three things that matter most: judgment, bias for action, and creativity. AI fluency is table stakes.

What youll do

Own the full product lifecycle for your area - discovery, definition, delivery, and post-launch learning - end-to-end, without waiting for handoffs.
Develop deep customer understanding. Spend real time with users. Bring customer insight into every prioritization decision.
Run and interpret your own data - Define goals and KPIs, monitor and measures impact, and make decisions based on evidence youve constructed yourself.
Define and manage experiments with statistical rigor. Own the hypothesis, the design, and the interpretation of results.
Orchestrate AI agents and tools to accelerate research, synthesis, and execution. Use them to eliminate low-value work, not to replace thinking.
Communicate decisions clearly and proactively. Stakeholders should always know what the team is doing and why - without needing to ask.
Be a part of a learning organization. Share what you and your team learn across the organization. Treat cross-pollination as a core part of the job.
Operate in a high autonomy environment. Work with a high sense of ownership. Know when to move independently and when to bring others in.