Technical Product Lead

Product And Data Leader

Location:

Remote / In Person as possible (San Francisco Bay Area / LA / MD-VA-DC Metro)

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.

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.

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., Git Hub 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 that works." You should be energized by that level of ownership, without layers of process or management.
• You'll work on highly complex, meaningful problems in healthcare
• You'll help define not just the product, but how we build as a company
• You'll operate as a true "technical PM" in a modern sense—using AI to extend your ability to engage directly with engineering and move faster than traditional role boundaries

A day in the life

• Morning standup with engineering to align on priorities, unblock issues, and make quick tradeoff decisions
• Reviewing and refining product requirements or specs—translating ambiguous problems into clear, actionable plans
• Diving into the codebase to review a pull request, validate an implementation, or make a small fix or prototype when it's faster to do it yourself
• Investigating and triaging issues from internal teams or customers—debugging across product, data, and systems to identify root causes and communication solutions with the team
• Partnering closely with engineers to scope upcoming work, break down problems, and ensure we're building the right thing the right way
• Using AI tools to accelerate development or debugging, whether that's exploring solutions, generating code, or…