Role: Founding Engineer / Technical Co-Founder

Location: San Francisco, CA (In-Person, 5 Days/Week)

Our client is a venture-backed healthcare technology company focused on building a new paradigm for patients with chronic conditions. The company is tackling a massive and underserved problem space, where millions of individuals are left without clear treatment pathways and are forced to navigate fragmented, anecdotal information on their own.

Backed by top-tier investors and founded in late 2025, the company raised a multi-million dollar seed round in an accelerated timeframe, signaling strong conviction in both the founding team and the opportunity. Despite being pre-product, there is already meaningful organic demand and early community formation around the mission.

The platform sits at the intersection of AI, consumer health, and community-driven data — combining structured health tracking, intelligent reasoning systems, and patient-to-patient insights. The goal is to build a system that learns from real-world outcomes and helps users identify effective treatment pathways through structured experimentation and personalized recommendations.

This is a true zero-to-one environment with a founding team of just a few individuals. The company is building both the product and the underlying technical foundation from scratch, with significant go-to-market investment planned in the near term.

Position Overview:

This is a founding technical role with full ownership over architecture, product development, and engineering direction. The individual will work directly with the Founder/CEO as a thought partner, shaping not just how the product is built, but what should be built.

The role goes beyond execution — this person is expected to operate as a technical leader, bringing strong opinions, challenging assumptions, and helping define the long-term technical vision of the company.

There is a clear path toward Technical Co-Founder for the right individual, including meaningful equity and shared decision-making responsibility.

Key Responsibilities

• Architect and build the initial product from the ground up, including core systems, data models, and user-facing experiences
• Develop an intelligent system that captures both structured and unstructured health data across multiple inputs (e.g., symptoms, labs, wearables, user-reported experiences)
• Design and implement AI-driven recommendation and matching systems based on user data, outcomes, and patterns
• Build scalable data pipelines to ingest, normalize, and utilize health-related data across sources
• Establish engineering standards, tooling, and culture in a zero-to-one environment
• Collaborate closely with the Founder across product, design, and go-to-market strategy
• Lead hiring and development of the engineering team as the company scales
• Ensure the product is ready for a planned go-to-market push in the near term

Qualifications

✅ You might be a fit if you:

• Are a full-stack engineer with a backend-leaning skillset and strong system design capabilities
• Have experience building and shipping products in early-stage (pre-Series B) startup environments
• Operate at a senior or staff level with the ability to independently own technical decisions and outcomes
• Are deeply AI-native — actively working with modern models, tooling, and agent-based workflows
• Are proficient in modern languages and frameworks (e.g., Python, JavaScript/TypeScript)
• Have experience or interest in consumer-facing products, ideally in health, wellness, or data-driven environments
• Have experience hiring or leading engineers, or are ready to step into that responsibility
• Thrive in ambiguous, fast-moving environments and are comfortable building without a defined playbook
• Are motivated by mission-driven work, particularly in improving outcomes for individuals navigating complex health challenges

❌ This role may not be a fit if you:

• Prefer structured environments with clearly defined requirements and timelines
• Are looking for a standard 9-to-5 work schedule with strict boundaries
• Are not actively experimenting with or leveraging AI tools in your day-to-day workflow
• Have not built or shipped consumer-facing products end-to-end
• Are primarily motivated by compensation over ownership and mission
• Prefer stability over the intensity and ambiguity of a true founding-stage company

What they Offer:

• Competitive base salary with flexibility based on experience and cash vs. equity preferences
• Significant founding equity, with the potential for co-founder-level ownership
• Fully in-office, high-collaboration environment in San Francisco
• Health benefits and daily in-office meals
• Opportunity to define the technical foundation, culture, and long-term direction of the company
• Direct partnership with an experienced, product-oriented founder
• Early ownership in a category-defining company with strong initial investor backing