Description
We aren't just building tools; we are building a workforce. As the Senior Product Manager for Agentic Solutions, you will lead the strategy and execution for our autonomous agents serving Monday’s customer organization. You will be the visionary behind two of our most critical AI-driven product lines, transforming complex workflows into seamless, goal-oriented autonomous actions.
About The Role
- Own the Agentic Roadmap: Define the vision, strategy, and lifecycle for our core autonomous agents. You’ll manage a portfolio of agents, ensuring they are not just "smart" but reliable, safe, and high-performing.
- Define "Agentic" UX: Lead the transition from traditional UI to "invisible" or proactive AI interfaces. You will solve the hard problems: How does an agent ask for help? How does it explain its reasoning? How do we build trust in autonomy?
- Technical Orchestration: Work closely with Engineering and AI Builders to define the architecture for Planning, Memory, and Tool-Use. You'll decide what is the right solution for each hard problem.
- Performance & Reliability: Agents are notoriously "vibe-based" until they aren't. You will establish the rigorous evaluation frameworks (Evals) needed to measure success rates, latency, and "hallucination" in multi-step tasks.
- A Strategic Thinker: You don't just see features; you see ecosystems. You can manage multiple products simultaneously, finding the common infrastructure that makes both more powerful.
- AI Native: You understand the difference between a RAG pipeline and an Agentic loop. You follow the latest papers but you think about latency and cost, not just pure "model brilliance."
- User-Obsessed: You have a sixth sense for where autonomy becomes a "black box" and where it becomes a "superpower."
- Data-Driven: You’re comfortable with the ambiguity of LLMs and can build a roadmap based on probabilistic outcomes rather than just deterministic "if-then" logic. You have a healthy skepticism of AI hype—you prefer building things that actually work over things that just look cool in a demo.
Requirements
- Experience: 5+ years in Product Management, with at least 2 years focused on AI/ML products (LLM experience is a must).
- Technical Depth: You might not be writing the Python code, but you can talk shop with Engineers about token limits, API orchestration, and vector databases.
- Proven Track Record: You’ve shipped a product from 0 to 1, or managed a complex portfolio of interconnected software products.
- Communication: You can explain "Chain of Thought" reasoning to a CEO and "Unit Economics" to a Developer without losing either of them.