Product Manager

cove•Independence, KS

5d•Hybrid

About The Position

Cove is the unified platform for modern commercial property management, bringing building operations and tenant experience together in one place. From work orders and preventive maintenance to visitor management, amenity booking, and engagement analytics, Cove helps property teams at some of the most iconic buildings in the world (including Chicago's Willis Tower) operate smarter, cut costs, and keep tenants coming back. Trusted across 540M+ square feet of commercial real estate, we're at an inflection point and expanding the team. We're looking for a Product Manager who can execute the fundamentals with stakeholder alignment (customer discovery, roadmap prioritization, sprint execution) and who gets genuinely excited about what's now possible with AI. As tooling evolves and dev speeds increase, the pressure on product managers to move fast and ship with confidence has never been higher. At Cove, AI is core to how we work and how we deliver software. We want someone who is comfortable rapidly prototyping ideas, separating signal from hype, and helping the team place smart bets. You'll be embedded with our product and engineering teams, spending real time with customers, and growing into a key contributor to Cove's roadmap.

Requirements

2+ years in a product management role at a B2B SaaS company, with demonstrated ownership of a product area from discovery through launch.
Strong customer instincts. You've spent real time with users — not just reading support tickets — and can translate messy, contradictory feedback into a clear point of view.
Agile fundamentals. You know how to run a sprint, write a user story, and keep a backlog from becoming a graveyard.
Clear written communication. You can write a one-pager that gets everyone aligned and a spec that engineers actually want to read.
Comfort with ambiguity. You can set your own agenda, make judgment calls with incomplete information, and ask for help when you need it.

Nice To Haves

You've built real things with AI prompts, workflows, lightweight tools, using environments like Cursor, v0, Replit, or similar.
You can spin up a working prototype in minutes, not days, and use it to get real feedback from real users in real time.
You have a mental model for where AI genuinely improves workflows vs. where it creates noise.
You know how to introduce automation in ways that build trust rather than anxiety, especially for non-technical end users.
Some exposure to proptech, real estate, facilities management, or adjacent industries (hospitality, smart buildings, field service ops) — enough to get up to speed fast.
A baseline understanding of enterprise SaaS dynamics: multi-stakeholder buying, implementation complexity, and what drives retention.
You've run experiments to validate or invalidate ideas before scaling them and you've been willing to kill your own.
Familiarity with discovery frameworks like jobs-to-be-done or opportunity solution trees.
Some experience working on multi-sided products where different user types have conflicting needs.
You care about workflow details, especially for operational software where a clunky UX costs someone 20 minutes a day, every day.
You've partnered with designers and have opinions about usability, without mistaking them for facts.
You use data to challenge your assumptions, not just confirm them.

Responsibilities

Be central to product ideas end-to-end from discovery through delivery, working closely with engineering, design, and customer success.
Spend regular time with customers: join discovery calls, shadow property teams in the field, and synthesize feedback into clear problem statements.
Drive sprint ceremonies and agile rituals with enough experience to adapt the process to what the team actually needs.
Prototype rapidly using AI tools and low-code/no-code environments to test ideas before committing engineering resources.
Write crisp, well-scoped requirements and specs that give engineers clarity without over-prescribing the solution.
Help scope and de-risk initiatives by structuring experiments, defining success metrics, and knowing when to kill something early.
Collaborate with go-to-market teams to support launches, sales enablement, and customer education.
Stay close to the CRE proptech landscape, competitive products, emerging AI capabilities, customer workflow trends.