Applied AI Product Manager

Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.

Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.

You’ll own product surfaces where AI can meaningfully change how customers experience our product. That means scoping problems, prototyping solutions (often yourself), shipping fast, and measuring what matters. You’ll work across engineering, design, and data but you’re expected to be hands-on with the tools, not just the roadmap.

This role sits within Operations, reporting to the Head of Operations, and is best suited for someone who operates with high ownership. You’ll identify where AI can create real customer value, move quickly from problem to prototype, and ensure fixes stay fixed over time.

• Talk directly with customers and study tickets, workflows, and DD sessions to identify operational pain points

• Identify high-leverage opportunities where AI improves customer outcomes, not where it’s trendy

• Ship working prototypes, not slide decks. We move in days, not quarters

• Define success metrics tied to customer value, then hold yourself to them

• Work directly with LLMs, APIs, and product code. You don’t need to be an engineer, but you can’t be afraid of a codebase

• Build and validate prototypes quickly using AI tools, product code, APIs, and internal workflows

• Make hard scope calls. Say no to 80% of ideas so the 20% actually ships

• Ensure fixes remain durable by validating outcomes and continuously improving workflows

• You’ve shipped AI-powered features to real users (not just internal tools or demos)

• You think in tradeoffs, not best practices

• You’re fast. Uncomfortably fast. You’d rather ship something imperfect Tuesday than something polished next month

• You can read code, query a database, and prompt an LLM with precision, not as party tricks, but as daily tools

• You have a strong bias for action and don’t let problems linger too long

• You prefer seeing for yourself by going deep into customer sessions, tickets, and workflows instead of relying purely on consensus

• You validate and ship value quickly

• Your pedigree. We don’t filter on school or company names

• Years of experience. We care about what you’ve shipped and how you think

• Whether you call yourself “technical.” We care whether you can get things done

• Application Review

• Case Study

• Case Interview

• Hiring Manager Interview

• Cultural Interview

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