- Salary
- $170k – $300k
- Workplace
- Onsite
- Type
- Full-time
- Department
- Engineering
- Source
- RecruiterFlow
Description
Location: New York, NY
Company Stage of Funding: Venture-Backed Growth-Stage Healthcare Technology Company – $300M+ Raised
Office Type: On-Site – SoHo, 5 Days/Week
Salary: $170,000–$300,000 + Equity
Company Description
We’re representing a fast-growing healthcare technology company building an AI-powered network connecting doctors, pharmacies, payers, and biopharma companies to help patients access new medicines more efficiently.
The platform automates the complex workflows that happen between a physician prescribing a medication and a patient beginning treatment, including insurance coverage, financial assistance, and supply-chain navigation. The service is provided free to doctors and patients.
The platform already supports patients across more than 85% of U.S. ZIP codes and partners with 9 of the world's 15 largest biopharma companies. The company has raised more than $300M and is scaling rapidly through organic adoption.
What You Will Do
- Build products across the full stack using Python, React, TypeScript, PostgreSQL, and Kubernetes.
- Own significant areas of the product and drive technical roadmaps toward measurable outcomes.
- Lead zero-to-one product development, taking ideas from initial definition through production launch.
- Build features end-to-end across frontend, backend, system design, testing, and debugging.
- Decode complex healthcare workflows involving insurance, affordability, prescription fulfillment, and external systems.
- Build AI-powered experiences for patients, physicians, and biopharma partners.
- Apply AI and ML to problems involving document classification, data extraction, and unstructured information.
- Participate directly in client engagements to understand real-world requirements and translate them into product solutions.
- Own projects from problem definition through implementation, launch, and measurable impact.
- Improve engineering processes, internal tooling, and systems as both the codebase and engineering organization scale.
- Work with messy real-world data and integrations rather than operating within perfectly structured technical environments.
Ideal Background
- Targeting 8+ years of software engineering experience, with meaningful experience shipping products at scale.
- Strong general programming ability and computer science fundamentals.
- Broad full-stack engineering capabilities rather than a narrow frontend, backend, or infrastructure specialization.
- Experience building and shipping products at fast-growing, product-driven technology companies.
- Demonstrated ability to own substantial projects or product areas from definition through production.
- Strong track record of zero-to-one product development.
- Comfortable moving between frontend, backend, system design, debugging, and testing as the problem requires.
- Experience working with messy, real-world or unstructured data and/or complex external-system integrations.
- Strong written and verbal communication skills.
- Comfortable engaging directly with customers and participating in technical product discussions.
- Track record of moving quickly, taking ownership, and finding ways to ship through difficult or ambiguous problems.
- Strong reputation among former teammates and evidence of being a highly effective collaborator.
Preferred
- Experience with Python, React, TypeScript, PostgreSQL, and/or Kubernetes.
- Hands-on AI/ML product experience rather than experience limited primarily to AI infrastructure or tooling.
- Experience with document classification or unstructured data extraction.
- Experience building RAG, question-answering, or other AI-powered product systems.
- RPA or web-scraping experience used to automate workflows across third-party platforms.
- Experience building integrations with complex external systems.
- Experience with predictive or simulation modeling using messy real-world datasets.
- Healthcare, insurance, pharmacy, or similarly workflow-heavy industry experience is helpful but not required.
- Experience in an environment where engineers have substantial product ownership and work directly with customers.
Compensation and Benefits and Other Things
- Base salary: $170,000–$300,000.
- Equity included.
- Full-time, in-person role based in SoHo, New York City with no hybrid flexibility.
- Candidates willing to relocate can be considered.
- Visa sponsorship may be considered on a case-by-case basis.
- Fully covered medical, dental, and vision insurance.
- One Medical, Talkspace, Teladoc, and Kindbody memberships.
- Unlimited PTO.
- 16 weeks of parental leave.
- 401(k), FSA, and commuter benefits.
- DashPass membership.
- Daily lunch provided, with dinner provided after 6:30 PM.
- Interview process is expected to include approximately two interviews followed by an onsite, with exact stages dependent on the role.
- Best suited for a senior, product-oriented full-stack engineer who wants broad ownership and is comfortable moving across the stack, working with AI and complex data, engaging with customers, and taking products from zero to one.