Senior Product Manager - Agentic AI
Confirmed live in the last 24 hours
Abodo
Job Description
We’re Changing the PropTech Industry
We’re a profitable, growth-stage company building industry-leading martech and data products for the PropTech space. Our focus is on our category-leading AI and data SaaS products with triple-digit growth rates.
We’re a fully remote team of 100+ spread across the U.S. from coast to coast. We operate on a strict no a**holes policy and are proud to have built a community of highly performant people that take our work seriously, but not ourselves. And, we're looking for exceptional people to help further accelerate our growth.
While we’ve raised $30MM+ to date from some of the world’s best investors, we’re profitable with a strong balance sheet and an indefinite runway. We pride ourselves on achieving rapid growth without having to incinerate capital.
About Our Products
ApartmentIQ is the all-in-one data platform powering smarter decisions across multifamily—covering 40M units with daily property and market intelligence used for surveys, research, and revenue management. We're trusted by 65% of the NMHC Top 50. Our sister company, MavenAI, delivers AI-powered marketing automation built by industry experts and integrated directly with property management systems, serving over 2M units.
We’re at an inflection point: customer demand is accelerating, AI is transforming how we build, and we have a 12-month window to establish category-defining advantages before competitors catch up. We’re looking for builders who want to help us seize that window.
The Role
We’re hiring a Senior Product Manager to own and ship new products within our Revenue Management suite. This is a 0-to-1 role: you’ll go from customer conversation to shipped feature faster than most companies write a spec. You’ll work directly with customers, shape product direction, and build alongside product leadership, design and engineering — not from an ivory tower. We want someone who thinks like a product leader and can also get their hands dirty with design, prototyping, and rapid iteration. If you’ve been called “the person who just gets things built,” this role is for you.
What You'll Do:
- Own end-to-end discovery through launch of AI agents in the Revenue Management space
- Plan, configure and tune AI agents to optimize quality, reliability, and business outcomes
- Ship fast. Write specs, design workflows, build prototypes, and work side-by-side with designers and engineers to get features into production
- Design evaluation frameworks to systematically measure agent quality — build test suites, analyze output patterns and edge cases, and use those signals to iteratively improve performance
- Define and validate guardrails that ensure safe, compliant, and predictable agent performance across real-world pricing scenarios
- Use AI tools and agents to accelerate your own workflow
- Stand up customer feedback loops (weekly cadences with key accounts) and use those signals to prioritize ruthlessly
- Collaborate with Customer Success and Sales Engineering teams to ensure products land well and drive adoption
What We’re Looking For:
- Builder mentality over pedigree. We care about what you’ve shipped and how quickly
- 3–7 years in product management, product engineering, or a technical consulting role at a high-growth startup or tech company
- Shipped 0-to-1 products that customers actually use — not just features on a roadmap slide
- Strong product instincts with design sensibility
- Fluency in leading customer discovery and translating messy qualitative feedback into clear product direction
- Experience defining quality metrics and building evaluation loops — You’ve measured whether something is working and used those signals to make it better
- Appetite to build with modern AI/LLM tools for acceleration (Cursor, Claude, Copilot, etc.) — and demonstrated track record of quickly learning new skills/technologies
- Bias to action and iteration over perfection and process
- Experience in proptech, multifamily, or real estate is a strong plus but not required — curiosity about the domain matters more
Why Ch