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Principal Product Manager – Agentic AI Systems

Location

California

Posted

144 days ago

Salary

0

Seniority

Lead

Bachelor Degree5 yrs expEnglish

Job Description

Principal Product Manager – Agentic AI Systems

Level AI

• Define and execute product initiatives for agentic AI systems, with a focus on measurable customer and business outcomes • Own significant parts of the agentic system lifecycle, including orchestration, decisioning, evaluation, and iteration • Contribute to building a repeatable framework for launching, evaluating, and improving agentic capabilities across customers • Help define how agentic systems are measured and improved in production, balancing autonomy with safety and reliability • Partner closely with Engineering, Applied AI/ML, Design, and Solutions teams to ship production-ready systems • Work directly with customers to understand workflows, requirements, and success criteria • Drive customer-informed prioritization by staying close to live deployments and real usage patterns • Support best practices for agent evaluation, iteration, and safe rollout • Represent the product in customer conversations, demos, and feedback sessions

Job Requirements

  • 5–6 years of Product Management experience, preferably with AI-driven or platform products
  • Experience shipping and iterating on production software systems
  • Exposure to LLMs, agentic systems, or AI-powered workflows (hands-on or via close partnership)
  • Strong customer-facing skills and comfort working with enterprise customers
  • Ability to translate ambiguous problems into clear product requirements
  • Excellent collaboration and communication skills
  • Experience with conversational systems, automation, or real-time decisioning (Nice to Have)
  • Familiarity with AI evaluation concepts, human-in-the-loop systems, or feedback loops (Nice to Have)
  • Experience working in enterprise SaaS or B2B platforms (Nice to Have)

Benefits

  • High exposure to customers, data, and real-world outcomes
  • Opportunity to grow into broader platform or Principal-level ownership
  • Meaningful impact on how enterprises adopt and trust AI
  • Work on real production agentic AI systems, not experiments

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