Gymdesk
AI-First Product Manager
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Company Description
Gymdesk is a gym management platform built for fitness gyms and martial arts studios. Our product suite is used by thousands of gyms and covers the full operating stack: membership management, billing, scheduling, attendance tracking, rank and belt progression, a website builder, and communications tools. We're the system of record for gyms of every type and size, from a single-location BJJ academy to multi-site franchise 24/7 gyms.
We're scaling our team to keep up with international demand. We hired our first PM a couple months ago and this will be our second, meaning you'll have an outsized opportunity to write the playbook of how Product functions. This is a PM role where your decisions directly shape what thousands of gym owners interact with every day.
What "AI-First Product Manager" Means To Us
What's Still the Same
The fundamentals haven't changed:
- Product sense. You can look at a feature request, a usage pattern, or a customer complaint and see the actual problem underneath. You know when to dig deeper and when to ship.
- Prioritization under constraints. We have a focused engineering team, a large surface area, and more requests than we can build. You'll need to say no clearly and back it up with evidence, not just gut feel.
- Clarity in the spec. Engineers should be able to read your work and build without a follow-up meeting. You write goals, scope, edge cases, and "what we're not doing" with precision.
- Customer empathy. You'll talk to gym owners. You'll read support tickets. You'll watch people use the product. You'll carry that context into every decision. No amount of AI tooling replaces the judgment that comes from knowing your users deeply.
- Cross-functional ownership. You'll work with engineering, design, CS, and marketing. You own the problem end-to-end, from discovery through delivery through measuring impact.
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What's Different
We believe the PM role is changing fast, and we want someone who's already living in that change. Here's what that looks like at Gymdesk:
- AI as your second brain, not a crutch. You use AI tools daily for research synthesis, drafting, competitive analysis, and pattern recognition. You've built systems (prompts, projects, workflows) that make you measurably faster without sacrificing quality. You own your outputs. "AI wrote it" is never an excuse.
- Code-adjacent, not code-afraid. You don't need to be an engineer. But you should be comfortable operating with AI assistants that benefits from a codebase. You know how to build prototypes in Claude Code/Cowork, Cursor, or other tools.
- Prototyping as communication. When a spec is ambiguous, you spin up a quick prototype to show what you mean instead of writing three more paragraphs. The artifact is a functioning thing, not a document.
- Systematic about your AI workflow. You don't just chat with an LLM and hope for good output. You've thought about how to give AI context, how to structure your prompts, how to review what comes back, and how to improve the process over time. You have opinions on what works and what doesn't.
- Up to speed on the landscape. You know what's shipping across the AI tooling ecosystem. Not because you chase hype, but because you understand how these tools change what's possible for PMs and for the products we build.
Things You'll Do
- Synthesize customer feedback, support patterns, and usage data to find the real problems worth solving
- Write specs grounded in how the product actually works today, using AI-assisted codebase exploration to understand what exists before proposing what should change
- Build quick prototypes to make ambiguous ideas concrete and get faster feedback from engineering and design
- Own features from discovery through delivery: customer evidence, spec, working with eng through build, measuring outcomes
- Triage inbound feature requests against strategy and make clear, defensible priority calls
- Improve your own AI workflows over time, building up the systems and prompts that make you faster and sharper with every cycle
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Qualifications
- Evidence of using AI tools seriously in your work (show us your setup, your workflow, or something you've built)
- Based between PST and EST timezones
- 3+ years in product management, ideally in B2B SaaS
- Demonstrated product sense: you've shipped features that moved metrics, not just features that existed
- Strong written communication. Our team is distributed. Writing is how decisions get made
- Comfort with ambiguity. We're building the PM function. You'll help shape how it works, not inherit a playbook
- Bonus: experience with SMB customers, international markets, or vertical SaaS
What You'll Get
- Salary of $150,000-$175,000 for U.S. Employees (different ranges elsewhere) and benefits
- Medical, dental, and vision coverage. 401k
- Fully-remote culture
- Flexible time off with no annual cap, company-wide holidays
- Direct influence over product strategy and how the PM function operates
- A team that's serious about using AI to work smarter, not just talking about it
- The chance to build the playbook for what an AI-first product org looks like at scale
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