Level AI is an AI-native customer experience intelligence platform helping enterprises deploy agentic AI systems that reason, act, and improve across high-volume customer interactions. They are seeking a Senior Product Manager to help build and scale agentic AI systems, working closely with various teams to ensure successful deployment and customer impact.
Responsibilities:
- 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
Requirements:
- 4 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
- Familiarity with AI evaluation concepts, human-in-the-loop systems, or feedback loops
- Experience working in enterprise SaaS or B2B platforms
- Technical background or strong comfort working with engineering and ML teams