This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to the company’s success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you. If you join, you will: • Own large parts of our product surface area and drive the relevant roadmaps to deliver on specific outcomes (See below for focus areas) • Drive zero-to-one product development from conceptualization through production, collaborating with our go-to-market and operations teams • Build new features and products top-to-bottom: front-end, back-end, system design, debugging, and testing • Participate actively in client engagements, working directly with customers to understand requirements and deliver innovative solutions • Establish and improve engineering processes, tools, and systems that will allow us to scale the code base and team productivity over time • Work closely with the rest of our team and CEO to make business decisions as we balance speed of growth and long-term profitability We need your help to: • Decipher and automate complex, branching workflows for insurance coverage, affordability programs, and fulfillment • Combining AI/ML approaches to achieve high precision document classification, • unstructured data extraction, and reference-based question answering • Automating multi-step, path-dependent processes, using a combination of • RPA/scraping approaches to navigate and operate third-party platforms • Building a state machine that drives system decisions and handles failure modes across a set of processes that are technically independent but practically intertwined

Scale across a growing range of drug classes, patient populations, and provider markets: • Making our data and ML pipelines robust to variation and inconsistency in input data formats (e.g., clinical documentation structure and style) • Leveraging empirical data to build and continuously update our understanding of opaque external systems (e.g., insurance company policies) • Creating consumer-grade experiences for patients, physicians, and other users that incorporate intuitive AI-powered workflows • Use our network to help biopharma partners accelerate drug development, launch, and access • Translating large volumes of heterogeneous data into reliable insights, informing decisions like clinical indication selection, launch markets, and insurer negotiations • Developing predictive and simulation models to forecast outcomes such as clinical trial site performance, drug adoption rates, and the impact of rebates/subsidies • Using real-time data and direct engagement channels to enroll criteria-matching patients and physicians in clinical studies and access programs