Rec Technologies Logo

Rec Technologies

Staff Product Designer

Posted One Month Ago
In-Office
San Francisco, CA, USA
160K-200K Annually
Senior level
In-Office
San Francisco, CA, USA
160K-200K Annually
Senior level
Own platform product design end to end, from research and information architecture through high-fidelity design, specifications, engineering handoff, and QA. Design coherent experiences across programs, facilities, memberships, and payments. Scope ambiguous problems into pragmatic v1 releases, use AI tools in the design workflow, and collaborate closely with engineering and company founders in a fast-moving, in-office environment.
The summary above was generated by AI
About Rec

Think about the last time you tried to book a tennis court. Or sign your kid up for a swim lesson. Or find an open rec league that actually fits your schedule. You probably ended up on a website that looked like it was built in 2003 — or god forbid, filled out a piece of paper.

$3T is spent on recreation globally, and it's built on a completely fragmented system that's largely untouched by technology.

At Rec, we're using AI to change that — reimagining how the world plays, participates in community, and gets active. Our vision is simple: more activity for everyone. We sit at a rare intersection — a consumer product loved by everyday players and an enterprise platform trusted by the organizations that power recreation.

We're a small team with firepower. Our founders were among the first few hundred at Uber, then led teams at The Athletic and MasterClass. The rest of the team combines builders from Google, Microsoft, Strava, Hipcamp, and Airbnb.

People join Rec for two reasons: you want to build AI that gets people back in the real world, and you want to work with really smart people.

About the Role

Rec's platform spans programs, facilities, memberships, payments, and the admin tools that recreation organizations run their entire business on. As Platform Designer, you'll own design for this side of the product end to end — taking ambiguous, often messy operational problems ("our facility booking is confusing," "instructors can't tell what they're supposed to do") and turning them into flows that are simple for the humans running rec centers, leagues, and facilities, while staying coherent across a genuinely complex, multi-object system underneath.

This isn't a role where a PM hands you a spec and you make it pretty. You'll go find the problem, define what v1 actually is, and stay with it through build and QA.

What You'll Do
  • Own features end to end: research the problem, define information architecture and flows, take designs to high fidelity, write the spec, and stay engaged through engineering handoff and QA.

  • Hold the full platform model in your head — programs, facilities, memberships, payments — and design in a way that keeps all of it coherent as the product grows.

  • Take fuzzy, undefined problems and turn them into a scoped v1, deciding what's in and what's deliberately left out, and being able to explain why.

  • Push for a rough version live in production over a polished one sitting in Figma, and know when that trade-off is the right call.

  • Use AI tools as part of your everyday process — prototyping in code, generating and evaluating variations, drafting copy, synthesizing research — and apply real design judgment and taste to what comes out of them.

  • Work closely with engineering and the founding team in a small, fast-moving environment where design decisions ship quickly.

What We're Looking For
  • Strong systems thinking: you can design for complex, multi-object domains without losing coherence across the product.

  • A track record of owning features end to end, from ambiguous problem to shipped, QA'd product.

  • Comfort operating without a spec — you can independently figure out the real problem and the right scope.

  • A bias toward shipping over perfecting, with the judgment to know which moments call for which.

  • Fluency with AI tools as part of your design workflow, paired with the taste to know what to keep and what to discard.

  • Genuine interest in Rec's mission: using AI to get people back into the real world, and doing it alongside people you'll learn a lot from.

Our Values
  • Be Relentless. Move fast. Own it. Ship real value early and often.

  • Win Together. Speak up, go beyond the boundaries of your role. That's how we win.

  • Take Pride. Treat this like it's yours — because it is.

Pay & Benefits
  • Compensation: $160,000–$200,000 base + meaningful equity (final offer will be based on your background, experience and skillset)

  • Benefits: Flexible PTO, top-tier health/dental/vision, and a 401(k) plan to support your future.

  • Work location: San Francisco

HQ

Rec Technologies San Francisco, California, USA Office

465 California St, San Francisco, CA, United States, 94104

Similar Jobs

9 Days Ago
Hybrid
San Francisco, CA, USA
160K-210K Annually
Senior level
160K-210K Annually
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Lead end-to-end product design for AI-powered financial automation across payments, payroll, bookkeeping, and tax. Define design vision, conduct user research, translate complex workflows into approachable experiences, and collaborate with product, engineering, and design systems teams across desktop, mobile web, and native apps. Contribute to product strategy, roadmaps, customer validation, and design culture while delivering cohesive solutions in a fast-paced environment.
Top Skills: Artificial IntelligenceDesign SystemsDesktop WebMobile WebNative Apps
13 Days Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
146K-222K Annually
Senior level
146K-222K Annually
Senior level
Fintech • HR Tech
Own end-to-end product design for Gusto’s Money, Banking, Retirement, or HR Experiences teams. Responsibilities include framing ambiguous problems, shaping product roadmaps, designing accessible and trustworthy AI-enabled experiences, conducting customer research, evolving design systems, and collaborating with product, engineering, and data teams. The role requires strong craft, systems thinking, judgment around AI uncertainty and human handoffs, and experience shipping products in high-trust or regulated domains.
Top Skills: AIAi ToolsConversational InterfacesDesign SystemsWeb
13 Days Ago
In-Office or Remote
San Francisco, CA, USA
193K-241K Annually
Expert/Leader
193K-241K Annually
Expert/Leader
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Own the end-to-end console experience, including navigation, information architecture, onboarding, shared surfaces, and reusable design patterns. Lead the design system, component library, roadmap, quality standards, and review processes across product teams. Partner closely with engineering to implement designs, develop UI capabilities, and grow design skills through guilds and reviews. Set the product’s creative direction while advocating for design investment through measurable UX impact.
Top Skills: Kubernetes

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account