AI Associate, Internal Products at Qualified Health in Palo Alto, CA

AI Associate, Internal Products

Palo Alto, CA (Hybrid) – United States
Reports To: Chief of Staff, Office of CEO

Transform healthcare with us.

At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring working alongside leading health systems to drive real change.

This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.

Join us in shaping the future of healthcare.

Job Summary:

Qualified Health is seeking an AI Associate, Internal Products to build the internal intelligence layer of the company, including the tools, agents, and systems that make everyone at Qualified Health more effective.

This is the right fit for a builder who thinks in products, moves fast with AI, and ships real things that real people use every day. You'll design and build the internal infrastructure that lets the company operate like the AI-native organization it's trying to help others become, so that information flows automatically, decisions are made with better data, and no one wastes time on work a well-designed system could handle.

Outcomes:

• The company has real-time access to its own intelligence. Anyone at Qualified Health can query the latest pipeline data, OKR progress, meeting notes, or competitive intel in natural language, without hunting through five tools or asking someone to pull a report.
• Manual updates become a thing of the past. The workflows that currently require someone to touch a spreadsheet, update a doc, or chase down a status are automated, freeing the team to focus on judgment and decisions, not data entry.
• Qualified Health operates like the AI-native company it's building toward. Internal tooling, information architecture, and workflows reflect a new point of view on what it means to run a company.
• The team ships faster. Leaders and operators across the company have the dashboards, agents, and tools they need to move with more speed and confidence, because someone built them.

Key Responsibilities:

INTERNAL AI PRODUCTS & TOOLING

• Design and build internal AI products from scratch: agents, chatbots, dashboards, tools that let the Qualified Health team interact with company knowledge, data, and workflows in natural language.
• Own the full product lifecycle for internal tools: identify the need, build the thing, ship it, watch how people use it, and make it better.
• Move fast. Use AI-assisted development, vibe-coding, and the best available tools to ship in days what would otherwise take weeks.

INFORMATION INFRASTRUCTURE & AUTOMATION

• Map how information currently moves across the company, where it lives, where it gets lost, and where people are doing work that a well-designed system should be doing for them.
• Build the automation layer that keeps Qualified Health's information current, connected, and queryable: integrations between tools, pipelines that update automatically, and workflows that route the right information to the right people at the right time.
• Architect a company knowledge base that actually works, one that's current, searchable, and smart enough to surface what's relevant before someone has to go looking for it.

AI FRONTIER & INTERNAL EXPERIMENTATION

• Stay at the frontier of what's possible with AI tooling, new models, new agents, new frameworks, and bring the best of it back to Qualified Health before the rest of the market catches on.
• Run fast experiments: stand up a prototype, put it in front of the team, learn what works, kill what doesn't, and double down on what does.
• Be the internal expert on what AI can and can't do right now, grounding the company's ambitions in what's actually buildable, and pushing those boundaries over time.
• Help Qualified Health develop a genuine, defensible point of view on AI-native operations, one the company can share externally as a proof point of its own platform.

Required Qualifications:

• Bachelor's degree in Computer Science, Data Science, Engineering, Business Analytics, or related technical field.
• Recent graduate (0-2 years of experience) with demonstrated proficiency in generative AI technologies
• You’re a builder: agents, automations, internal tools, side projects, hackathon submissions. We want to see what you've shipped.
• Strong instincts for product. You don't need a spec to get started. You can talk to a user, identify what they actually need, and build something that solves it.
• Comfortable with the full builder's toolkit: Python or JavaScript for getting things done, APIs for connecting systems, no-code and low-code tools for moving fast, and AI coding assistants like Cursor or Claude as a core part of how you work.
• Intrinsically motivated. You find it genuinely satisfying to see something you built make someone's day easier. You don't need to be managed toward the finish line.
• Able to work onsite in Palo Alto 3 days/week

What We Offer:

• The chance to build real products used by real people every day, starting immediately.
• Direct access to the Chief of Staff and CEO, with visibility into how a venture-backed health AI company is built and scaled from the inside.
• A front-row seat to one of the most consequential technology transitions happening right now, at a company that's at the center of it.
• The freedom to experiment, ship, and own your work without layers of process between your idea and production.
• Health, dental, and vision insurance.
• A team that takes the work seriously and moves fast.

Pay & Benefits: 

The pay range for this role is $85,000–$110,000 and will depend on your skills, qualifications, and experience. This role is also eligible for equity and benefits.

Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.