Principal Product Manager (AI)

Role Description

Craniometrix has raised over $21 million to help make dementia suck less. Dementia is tough – but it can be easier. Turns out, if you give families the right non-clinical coaching and support, you can avoid 30% of hospitalizations for these patients. And Medicare has recently started paying for that coaching.

We launched our care navigation service for dementia patients in July of 2025, leveraging AI to provide best-in-class care, allowing us to quickly hit $4M of ARR and raise a $15M Series A. Come help us build!

Your job is to build the AI frameworks and internal tools that eliminate administrative friction, maximize clinical accuracy, and deepen personalization. By ensuring our AI has the high-fidelity context it needs—and the safety guardrails it requires—you will empower our team to focus 100% of their energy on supporting families.

This is a senior IC role for a builder who sits at the intersection of Operations, Product, and Engineering. You will report to the VP of Operations and be responsible for the internal AI frameworks that power our staff-facing tools.

You aren't just a PM writing specs—you are a systems architect. You will define the logic and safety rules for our internal AI, and then use our AI codex and low-code infrastructure to help build the tools our care navigators and operations managers use every day.

What You’ll Do

• Build the Navigator Workbench: Design and ship internal AI tools that help our care navigators summarize patient history, deliver more personalized care, flag risks, and automate Medicare-compliant documentation.
• Optimize the Data Feed: Be a key stakeholder in our data collection process, providing critical feedback to improve transcript quality, refine form inputs, and optimize assessment tools to ensure the AI has high-fidelity context.
• Define the Rules & Frameworks: Develop the "logic engine" for our internal AI, creating prompts, decision trees, and guardrails that ensure our staff receives safe, reliable, and unbiased support.
• Bridge to Engineering: Work closely with the core Engineering team to ensure your internal tools integrate deeply with our data architecture and production stack.
• Architect the Operational Sandbox: Build the underlying frameworks—including data schemas and logic evaluators—that allow non-technical operational leads to contribute to the build process.
• Operational Safety & QA: Own the monitoring of AI outputs, building frameworks to audit AI suggestions and ensuring high quality support for our navigators.
• Efficiency Architecture: Identify "friction points" in the navigator workflow and build AI-driven solutions to remove them, while managing model costs and latency.

Qualifications

• 5–7+ years of experience in healthcare or high-complexity operations.
• Proactive about identifying when a lack of context or poor data quality is hampering AI performance.
• 2+ years of experience building with LLMs.
• Skilled in using AI to build internal tools without needing a dev team.
• Joy in building tools that make it easier to deliver care.
• Understanding of software architecture to partner effectively with engineers.

Who You Are

• The "Systems" PM: You think in workflows, edge cases, and feedback loops.
• Data-Obsessed: You understand that "Garbage In = Garbage Out."
• Hands-on AI Builder: You are skilled in using AI to build.
• Internal-Tool Obsessed: You care about utility and safety above all else.
• Pragmatic Engineer-Lite: You prefer the high-velocity environment of building in the Ops layer.