About The Position

We’re launching a women's health intelligence platform that delivers personalized, longitudinal care across every life stage. We're building what the healthcare system has failed to provide: a comprehensive view of women's health that connects the dots between symptoms, lab results, lifestyle factors, and the hormonal shifts that influence everything from mood and energy to fertility and cognition. As Founding Engineer, you'll partner directly with our founder to build the product from the ground up. This is a high-impact, founder-level role where you'll architect and develop our core platform—from the AI-powered health intelligence engine to the data integrations that connect labs, wearables, and medical records into a unified picture of each user's health. You'll own the technical vision and execution for a product that delivers real health outcomes to women who have been failed by the healthcare system. Expect to wear many hats, move fast, and have significant influence over our product, team, and company as we scale.

Requirements

  • 10+ years of software engineering experience, with a track record of building and shipping complex products. You've worked across the stack and can own technical decisions end-to-end.
  • Strong backend and infrastructure expertise. Deep experience with system architecture, APIs, databases, and building scalable, reliable systems. Comfortable with Python, Node.js, or similar.
  • Experience with health data and integrations. You've worked with lab data, EHR systems, wearable APIs, or healthcare interoperability standards (HL7, FHIR). You understand the complexity of health data.
  • Data pipeline and ETL experience. You've built pipelines that ingest, transform, and normalize data from multiple sources. Experience with healthcare data integration is a strong plus.
  • Cloud infrastructure proficiency. Hands-on experience with AWS, GCP, or Azure. You can architect and deploy secure, compliant infrastructure.
  • AI/ML implementation experience. You've built products that leverage AI—whether recommendation systems, NLP, conversational AI, or predictive models. Experience with LLMs and prompt engineering is valuable.
  • Security and compliance mindset. You understand HIPAA requirements and can build systems that protect sensitive health data from the start.
  • Comfortable with AI-native development workflows. You use Claude Code, Cursor, GitHub, or similar tools to accelerate your work.
  • Preference on experience with Python and Typescript. Experience with Cloud platforms like AWS, JCP, etc
  • Experience in healthcare technology and an understanding of technology health data privacy regulations (HIPAA, state telemedicine laws)
  • Startup mentality. You've thrived in early-stage environments where you wear many hats, move fast, and take ownership. You're energized by ambiguity and building from zero to one.
  • Passion for the mission. You care about building technology that improves women's health outcomes. You're motivated by the impact this product can have on real people's lives.

Nice To Haves

  • Experience building consumer health or clinical products
  • Familiarity with lab data standards (LOINC codes) and medical terminology
  • Experience with wearable device integrations (Oura, Apple HealthKit, Whoop, Garmin)
  • Background in building conversational AI or chatbot experiences
  • Experience with mobile development (React Native, Flutter) or mobile-first web apps
  • Previous founding engineer or technical co-founder experience

Responsibilities

  • Build the Platform From Scratch
  • Partner with our founder to design and build Version 1 of the health intelligence platform. You'll make foundational technical decisions that shape the product for years to come.
  • Architect the Health Intelligence Engine
  • Build the backend infrastructure, APIs, and data models that power personalized health insights. Design systems that synthesize lab results, wearable data, symptoms, and medical history into actionable intelligence.
  • Develop Data Integration Pipelines
  • Create robust ETL pipelines to ingest data from diverse sources: lab providers (Quest, LabCorp), wearables (Oura, Apple Health, Whoop, Garmin), medical records, and user-entered data. Ensure data integrity, security, and HIPAA compliance.
  • Build AI-Powered Features
  • Implement the conversational AI health check-ins, treatment recommendation engine, and predictive models that surface insights and guide users through their health journey. Work with Claude and other AI tools to accelerate development.
  • Own Security and Compliance
  • Build with HIPAA compliance from day one. Implement encryption, access controls, audit logging, and security best practices for handling sensitive health data.
  • Leverage AI-Native Development Tools
  • Use Claude, Claude Code, Cursor, and other AI-assisted development tools to accelerate building. Embrace vibe coding and rapid prototyping to move quickly from concept to working product.
  • Grow Into Leadership
  • As we scale, mentor and guide additional engineers. Help establish engineering culture, practices, and standards. This role has a clear path to engineering leadership.

Benefits

  • 100% employer-paid, comprehensive health care including medical, dental, and vision for you and your family.
  • Paid maternity and paternity for 14 weeks at employees' normal pay.
  • Unlimited PTO, with management approval.
  • Opportunities for professional development and continued learning with educational reimbursements.
  • Optional 401K, FSA, and equity incentives available.
  • Mental health benefits through TARA Mind.
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