United States onlyAbout us
Pomelo Care is the national leader in evidence-based healthcare for women and children. We deliver personalized, high-quality clinical interventions from reproductive care and pregnancy, infant care and pediatrics, to hormonal health through perimenopause and menopause, with long-term preventive care and condition management. Our model delivers 24/7 multispecialty care to address the medical, behavioral, and social factors that most significantly impact outcomes for women and children. We partner with payers, employers, and providers to expand access to quality healthcare across the system.
Our engineering team is the engine behind our virtual care platform, building AI-powered solutions that transform care delivery and create exceptional experiences for both patients and clinicians. If you're passionate about using technology to do real, tangible good in the world, we'd love to meet you.
We are a remote-first company with offices in New York and San Francisco. Our New York office has a strong in-person culture with regular collaboration, and our San Francisco office is available for those who enjoy working together in person.
Why This Role Matters
Data is a force multiplier at Pomelo. When the data platform improves, every team moves faster and makes better decisions. This role sits at the center of product, clinical care, and operations, enabling smarter workflows and better outcomes for patients. You'll work on problems where data quality and clarity directly affect real-world healthcare decisions. It's a chance to shape the foundation that future AI and product innovation will build on, while seeing your work immediately impact how the company operates.
What You'll Do
- Build and scale the data foundation that powers decision-making and product experiences across Pomelo
- Lead the design of robust pipelines, data models, and infrastructure that reduce time-to-insight for clinical, product, and operational teams
- Translate messy real-world healthcare data into reliable, accessible datasets that enable analytics, experimentation, and new data-driven features
- Help raise the bar for data engineering practices and mentor others on building scalable, maintainable systems
- Work closely with product, clinical, and engineering teams to power both internal insights and customer-facing features
Problems You'll Dig Into
- How do we turn complex clinical and operational data into something trustworthy and actionable at scale?
- How do we design data systems that support both analytics and product use cases without creating duplication or fragility?
- How do we balance speed and iteration with correctness and governance in a healthcare environment?
- How do we reduce the gap between raw data and real decisions so teams can move faster?
- How do we evolve our data platform as AI and automation become more central to how we operate?
Tech Stack
Python, Kotlin, modern cloud data infrastructure, SQL. dbt, Dagster, Beam, Dataflow, analytics and experimentation tooling, data warehouses, orchestration and observability tools.
Who You Are
- You have significant experience (5+ years) in data engineering or backend engineering with a strong data focus
- You've built and maintained data pipelines and models that other teams depend on daily
- You care deeply about data quality, and you understand why "good enough" data can be dangerous in the wrong context
- You're comfortable with modern data tooling (dbt, Dagster, or similar) and cloud data infrastructure
- You're keeping up with trends in LLM coding agents to multiply your engineering impact
- You enjoy working across teams and translating technical data concepts into terms that product and clinical folks can work with
We'll be especially excited if you:
- Have experience working with healthcare data (clinical, claims, EHR) and understand the unique challenges it presents
- Have built data platforms that serve both analytical and product use cases
- Have experience with experimentation infrastructure or analytics engineering
- Have previously worked in a fast-paced, product-oriented environment
Why You Should Join
By joining Pomelo, you will help shape the future of a fast-moving, well-funded, and mission-driven startup that always puts the patient first. You will learn, grow, and be challenged, and have fun with your team while doing it. We strive to create an environment where employees from all backgrounds are respected. We also offer:
- Competitive healthcare benefits
- Generous equity compensation
- Unlimited vacation
- Membership in the First Round Network (a curated and confidential community with events, guides, thousands of Q&A questions, and opportunities for 1-1 mentorship)
At Pomelo, we are committed to hiring the best team to improve outcomes for all mothers and babies, regardless of their background. We need diverse perspectives to reflect the diversity of problems we face and the population we serve. We look to hire people from a variety of backgrounds, including but not limited to race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.
Potential Fraud Warning
Please be cautious of potential recruitment fraud. With the increase of remote work and digital hiring, phishing and job scams are on the rise with malicious actors impersonating real employees and sending fake job offers in an effort to collect personal or financial information.
Pomelo Care will never ask you to pay a fee or download software as part of the interview process with our company. Pomelo Care will also never ask for your personal banking or other financial information until after you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All official communication with Pomelo Care People Operations team will come from domain email addresses ending in @pomelocare.com.
If you receive a message that seems suspicious, we encourage you to pause communication and contact us directly at careers@pomelocare.com to confirm its legitimacy. For your safety, we also recommend applying only through our official Careers page. If you believe you have been the victim of a scam or identity theft, please contact your local law enforcement agency or another trusted authority for guidance.
