Senior Product Manager - Agentic AI

About Us

Daisy is a tech-driven property management company that's grown to manage over 200 buildings in three years. We're a small team that moves fast and cares about fixing an industry stuck in the past. Our platform, Meadow, runs on AI assistants, workflow automation, and agentic processes. AI isn't a side bet here. It's how we build product.

About The Role

We're hiring a senior PM to own different AI-driven product capabilities across Daisy's platform. You'll define how AI agents and intelligent workflows reshape property management operations. That means shipping agentic workflows that act (not just assist), working hands-on with engineering, and figuring out where LLMs and autonomous agents fit into real problems. You'll own strategy for your domain, set OKRs, and bridge what operations teams need with what's technically possible.

We're looking for someone who:

Has shipped AI features in production, not just sandboxed them. Uses AI tools daily in their own work, whether coding agents, prompt engineering, or prototyping with LLMs. Makes complex things simple for users. Picks up unfamiliar domains fast.

Responsibilities

• Own AI product initiatives end-to-end: discovery, spec writing, development, launch, and iteration.
• Design and ship agentic workflows that automate operational processes with human oversight built in.
• Work cross-functionally with engineering, design, operations, and business teams to deliver AI features that solve real problems.
• Identify where AI can replace manual workflows and improve outcomes for property managers, board members, and residents.
• Define success metrics, run experiments, and use data and user feedback to steer direction.
• Stay current on AI developments and translate what matters into product opportunities.
  
  

• 5+ years in product management, with 2+ years on AI-powered products shipped to production.
• Hands-on generative AI experience: prompt engineering, model behavior, LLM capabilities, and AI UX patterns.
• Experience building agentic workflows, AI assistants, or automation products beyond basic chatbots.
• Track record of zero-to-one product work in a startup or high-growth environment.
• Strong UI/UX sense, especially for AI experiences where trust and transparency matter.
• Cross-functional leadership without waiting for consensus.
• Demonstrable AI tool usage in your own work (prototypes, scripts, AI-built tools).
• Fluent English, written and verbal.
  
  

• Technical background or developer experience.
• Experience with AI coding tools (Cursor, Claude Code, Copilot).
• Fintech or B2B SaaS experience.
• Background in service companies.