Clara Seeks Founding Growth Engineer to Scale AI Doctor Platform

The Critical Role of Growth Engineering at Clara

Clara, a Y Combinator S26 cohort company, is actively seeking a Founding Full-Stack Growth Engineer. This role is central to the startup's mission of bringing AI doctors to market and scaling its innovative healthcare platform. The position is not merely about coding; it's about strategic implementation of growth loops, user acquisition funnels, and conversion rate optimization for a product poised to disrupt how patients access medical advice and care.

The ideal candidate will possess a deep understanding of full-stack development, coupled with a proven track record in growth hacking and product-led growth strategies. Clara's AI doctors aim to provide accessible, efficient, and potentially more affordable healthcare solutions, addressing a critical need in the market. The growth engineer will be instrumental in translating product potential into tangible user growth and market adoption. This involves building and iterating on features that drive user engagement, retention, and virality, essentially acting as the engine for Clara's expansion.

The company emphasizes a data-driven approach, meaning the growth engineer will be responsible for setting up and analyzing key metrics, conducting A/B tests, and making informed decisions to optimize the user journey. This role requires a unique blend of technical prowess, marketing acumen, and a deep understanding of user psychology. The ability to rapidly prototype, deploy, and iterate on growth experiments will be paramount. Clara is looking for someone who can not only build but also think strategically about how to acquire and retain users at scale, ensuring the AI doctor solution reaches the widest possible audience.

Responsibilities and Technical Requirements

The Founding Full-Stack Growth Engineer will be tasked with a broad range of responsibilities. This includes owning the end-to-end development of growth initiatives, from ideation and design to implementation and analysis. Key responsibilities will likely encompass optimizing the user onboarding process, developing referral programs, improving conversion rates across various touchpoints, and experimenting with new channels for user acquisition. The engineer will also be expected to collaborate closely with product, design, and marketing teams to ensure growth strategies are aligned with the overall company vision and product roadmap.

Technically, the role demands proficiency in modern full-stack development frameworks. While specific technologies may vary, a strong foundation in both front-end and back-end development is essential. This includes experience with at least one major front-end framework (e.g., React, Vue, Angular) and a robust back-end language and framework (e.g., Python/Django/Flask, Node.js/Express, Ruby on Rails). Experience with databases (SQL and NoSQL), cloud platforms (AWS, GCP, Azure), and CI/CD pipelines is also expected. Crucially, the candidate must demonstrate a strong understanding of growth metrics, analytics tools (like Google Analytics, Mixpanel, Amplitude), and A/B testing methodologies. Familiarity with experimentation platforms and the ability to set up tracking and logging for experiments are key requirements.

The company is looking for an individual who is comfortable with ambiguity and thrives in a fast-paced startup environment. The ability to wear multiple hats and contribute beyond the core job description is often a hallmark of early hires in successful startups. Clara's stage suggests that this engineer will have a significant impact on the company's trajectory, shaping not only the product's growth but also its engineering culture. The opportunity to be a founding member of the engineering team, with significant equity and influence, is a primary draw for this role.

Clara's Vision: AI Doctors for the Masses

Clara's ambition extends beyond simply building a functional AI tool. The company aims to democratize access to healthcare, leveraging artificial intelligence to provide reliable medical information and guidance. In a world where healthcare costs are rising and access can be a significant barrier, AI doctors offer a compelling alternative or supplement to traditional medical services. This could range from initial symptom checking and triage to providing ongoing health management advice, all delivered through an intuitive and accessible interface.

The implications of successful AI doctor platforms are far-reaching. For patients, it could mean faster access to information, reduced wait times, and more convenient care options. For healthcare systems, it could alleviate pressure on primary care physicians and emergency rooms by handling routine inquiries and providing support for chronic condition management. Clara's success in this venture would not only validate their AI technology but also set a new standard for patient engagement and care delivery.

The specific challenges Clara faces include building trust with users, ensuring the accuracy and safety of their AI's medical advice, navigating complex healthcare regulations, and differentiating themselves in an increasingly crowded AI and health tech landscape. The growth engineer's role is vital in overcoming these hurdles by demonstrating the platform's value and driving adoption among target user segments. They will be the bridge between the cutting-edge technology Clara is developing and the real-world impact it can have on millions of lives.

The success of this hire will directly influence Clara's ability to reach its market potential. By attracting and retaining users effectively, the growth engineer will validate the product-market fit and lay the groundwork for future funding rounds and expansion. This is a role for someone who wants to build something meaningful and see it directly impact the world.