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## About Frame
Healthcare is full of broken handoffs, disconnected systems, messy data, and workflows that create real consequences for patients, providers, and internal teams. At Frame, we are looking to solve that, starting with fertility.
## About the role
We're looking for a highly hands-on product and data leader to own and evolve our product at a critical stage of growth.
This is not a traditional PM role. You'll operate at the intersection of product, data, and engineering—working closely with a small, high-performing team to define what we build, how we build it, and how we scale it. You'll be a true full stack builder.
You'll take over day-to-day product ownership from our co-founder (now stepping into a broader role) and help shape the next phase of the company.
## What you'll do
- Product direction and execution
- Own product work end-to-end: clarify the problem, define the experience, write crisp requirements, make tradeoffs, and drive work through launch.
- Healthcare data and product integrity
- Get deep into the data models, edge cases, and operational realities behind the product. You'll debug issues, define logic, and ensure the product behaves correctly in a messy, high-stakes healthcare environment.
- Technical collaboration and light implementation
- Work directly with engineers to scope work, review implementations, validate pull requests, and make small code or prototype contributions when that is the fastest way to move.
- Internal systems, AI, and operating leverage
- Use third-party tools, automations, AI-assisted development and tools, and internal workflows to solve problems quickly without overbuilding.
## What we're looking for
- 4–8 years experience in product, product engineering, or a hybrid role (e.g., product engineer, tech lead, early startup generalist)
- Experience working in healthcare is a strong plus, particularly with complex or messy datasets (e.g., claims, clinical, or operational data)
- Alternatively, experience in highly regulated industries (e.g., fintech, insurance, govtech) where data integrity, compliance, and edge cases matter
- Proven ability to ship products in early-stage or highly ambiguous environments
- Strong comfort working directly with engineers—can speak their language and make tradeoffs
- Working familiarity with modern software development practices (APIs, data models, system design, version control)
- Ability to navigate and understand production codebases, and confidently review or validate technical implementations (even if not a primary coder)
- Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Cursor) to read, write, or debug code
- Highly data-fluent: comfortable working with complex datasets, debugging issues, and defining logic
## What makes this role unique
We are still at the stage where the best answer is often not "create a process," but "figure it out, make a good decision, and ship something"
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