# Software Engineer at Forus > United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Aforus%3Aa7b0368a-97aa-4cd8-afbc-cae8e86dafb7 (read 2026-11-07). ## Facts (observed) - Company: [Forus](https://alderhq.app/companies/forus) - Location text: New York office - Where it can be done from (inferred): United States (evidence: "Location: New York office") - Posted: 2024-06-18 (872 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/forus/a7b0368a-97aa-4cd8-afbc-cae8e86dafb7 - Skills listed (inferred): Distributed systems ## Pay and sponsorship - Posted pay: $170k–$300k per year (from the listing's pay field) - Market band for similar posted roles (New York, n 621): p25 $145k, median $180k, p75 $225k ## Description (the employer's text) ### About us Forus is building an AI-powered network that connects doctors, pharmacies, payers, and biopharma to accelerate new science to patients. Our platform automates the complexity between a doctor prescribing a medicine and a patient starting treatment, including insurance coverage, financial assistance, and supply chain navigation. We provide this support free to doctors and patients, helping them get life-changing medicine faster, cheaper, and easier. The resulting network enables biopharma companies to design better research, launch new drugs more effectively, and invest in harder-to-treat conditions. ### Forus has exceptional product-market fit and is growing rapidly through organic adoption Accelerating scale: We already support patients across more than 85% of ZIP codes and partner with 9 of top 15 largest biopharma companies in the world. AI-native, durable model: Our business becomes stronger as AI improves, as every new doctor, patient, and partner makes the network more valuable. Backing to build for the long term: We raised $300M+ from leading investors to build an exceptional team and unlock the full scale of the opportunity. Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster. If we succeed, science will be the only limit to medicine. All full-time roles are in person in New York. ### About the role As a Software Engineer on our team, you will work across the stack to solve business problems with software and build the foundation of our platform. The role requires that you develop a deep understanding of our product surface area and what drives our business, such that you can operate and drive impact both cross-functionally and independently. You will have end-to-end responsibility for projects, including definition, design, development, launch, and success––this includes ensuring your output has the expected impact on user growth, operational efficiency, or revenue generation. 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 Forus' 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 ### 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) --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Aforus%3Aa7b0368a-97aa-4cd8-afbc-cae8e86dafb7 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.