Product Manager, Super

• 3+ years of product management experience, ideally on consumer products at a startup or high-growth company
• Hands-on experience building with AI coding tools such as Claude Code, ChatGPT Codex, or Cursor, including prototypes or features that users have touched. Expect to walk us through one in interviews
• Daily use of AI tools like Claude for strategy, ideation, and analysis, along with the judgment to check the output before acting on it
• Track record of ramping quickly in unfamiliar product areas and delivering measurable results within a single quarter
• Experience using tools like Amplitude to design experiments and interpret results
• Clear, concise writing, with experience producing PRDs and experiment docs that engineering, design, and leadership can act on
• Enough technical depth to discuss architecture and tradeoffs with engineers

Desirable

• This Product Manager II role is a SWAT position in our Fintech & Earnings vertical
• You’ll be placed on the team where the vertical needs product leadership most, whether that’s improving how we underwrite cash advances, helping members build credit, growing how much people earn, or working on entirely new projects
• You’ll own outcomes on some of the company’s highest-priority bets, work directly with vertical leadership, and build range across cash advances, credit, earnings, and savings faster than a single-team role allows
• This role is also for a PM who builds
• You’ll use tools like Claude Code to prototype ideas, test them with users, and in some cases ship them to production yourself
• Rotate across Fintech & Earnings teams as needed, taking ownership of the vertical’s most pressing problem and getting up to speed on a new domain within weeks
• Own the roadmap, PRDs, and experiment plans for your current team, tying each project to metrics like contribution profit, Super+ conversion, and retention
• Build working prototypes with Claude Code or similar tools to test ideas with users and stakeholders before engineering commits to a full build
• Ship small features and experiments to production yourself when it makes sense, working with engineers on code review, testing, and release
• Use AI to speed up strategy and analysis, including synthesizing user research, querying Amplitude and Snowflake, sizing opportunities, and pressure-testing your own plans
• Work closely with product design, product marketing, research, and growth teams to launch new products and features
• Partner with Legal, Compliance, and Risk to launch financial products that are clear and fair to members
• Hand off cleanly when you rotate teams, with documented decisions, experiment results, and a roadmap the team can keep running with