CTO / Technical Co-Founder
DxTx (San Francisco, Hybrid)
Company Description
DxTx is rebuilding the provider-patient relationship for complex chronic conditions. Our platform uses a coordinated system of AI agents that support every stage of the clinical journey, from pre-visit intake to real-time decision support to post-visit follow-through and longitudinal care.
DxTx was founded by Anisia Corona, a public health specialist and health tech entrepreneur with over 25 years of experience in healthcare. She brings deep expertise as a patient advocate and as someone living with chronic illness, with deep expertise in managing chronic diseases, clinical workflows, research, and healthcare systems. This gives the company a uniquely grounded perspective on what both clinicians and patients need from modern clinical tools.
Most importantly, as we build this technology, DxTx is focused on establishing trust with clinicians because implementation and building a product with clinicians is of the utmost priority.
Before building any technical system, DxTx invested in deeply understanding real-world provider pain points. Last year, Anisia completed a workshop with the NIH to interview clinicians and collect detailed provider pain points at scale. This was followed by a six-month full-time immersion working as a medical assistant with some of the best clinicians in the complex chronic care space, experiencing these challenges firsthand — managing administrative tasks, supporting clinical workflows, participating in visits, observing clinician-patient interactions, and directly feeling the friction points that affect both sides of the visit. This combination of structured interviews and lived, in-the-room experience shaped the foundation of DxTx’s understanding of what is broken in the provider-patient relationship.
After gaining ground-level insight, DxTx moved into trust-building. We created a national provider network and launched a monthly digital clinical magazine to build rapport, inclusion, and shared understanding with clinicians. The magazine transparently communicates the data, evidence, and reasoning that will guide our AI tools. This trust-first strategy has resulted in a warm pipeline of early clinicians ready to test and shape the product.
DxTx has already built basic-level MVP components, and we are now ready to develop the advanced technology that will become the full multi-agent clinical intelligence system. Funding applications are out, and the race is on.
Role Description
We are hiring a CTO / Technical Co-Founder based in San Francisco with hybrid flexibility. This is a hands-on, execution-focused founding role for someone who wants to build, iterate, and ship quickly. You will own the architecture and implementation of the multi-agent system that powers intake, documentation, workflow automation, decision support, and longitudinal care.
This role requires strong technical leadership, up-to-date knowledge of modern AI technologies, and the ability to translate user needs into production-ready workflows. You will collaborate directly with the founder, clinical advisors, and early pilot clinicians. Optional support is available from UC Berkeley interns, though you must be fully capable of building independently.
This role begins without salary until DxTx receives funding or revenue. Compensation will be equity-based with vesting and cliffs. There is a clear expectation to deliver the MVP upgrade within six to eight weeks.
Responsibilities
• Architect and build the advanced multi-agent clinical intelligence system powering DxTx
• Implement intelligent workflow orchestration and secure data flow across the full clinical journey
• Establish backend architecture, data schema, and integration layers
• Build secure systems for conversational data, clinical summaries, and longitudinal records
• Develop early patient-facing and provider-facing interface components
• Translate clinical requirements into technical specifications and workflows
• Conduct rapid prototyping and iterative testing with clinicians
• Establish engineering practices suitable for early-stage growth
• Move quickly while refining features based on real-world usage and feedback
Technical Qualifications
• Experience building AI agents, LLM-based workflows, or multi-step automated systems
• Strong familiarity with modern agent frameworks and orchestration tools
• Ability to design systems that share structured context across multiple intelligent components
• Experience with backend systems, databases, APIs, and secure data architecture
• Ability to incorporate decision support logic or structured reasoning layers
• Experience with transcription, summarization, or structured data extraction (preferred)
• Ability to build early versions of patient and clinician-facing interfaces
• Comfortable owning the technical stack for a zero-to-one product
• Able to work independently with high accountability and fast execution
• Based in San Francisco or able to collaborate in person regularly
Personal Qualities
• Scrappy early-stage builder energy
• Ready to begin immediately and move fast
• Resourceful, accountable, and comfortable operating without a full team
• Motivated by impact, ownership, and mission-driven product challenges
• Thoughtful yet decisive in technical and architectural decision-making
Compensation
• Unpaid until funding or revenue
• Equity-based compensation with vesting and cliffs
• Significant ownership and influence as a founding technical leader
If you want to architect and build a next-generation clinical AI system that transforms how clinicians care for people with complex chronic conditions, reach out with your background and examples of AI systems or intelligent workflows you’ve built.
