Easy Apply
Easy Apply
Build data and semantic models, documentation, context, and evaluations that improve conversational analytics powered by LLMs. Embed with stakeholder teams to understand analyst workflows and business needs, then develop self-service tooling and standardized analytic frameworks. Train non-data stakeholders on effective data and LLM usage, create reusable training materials, maintain evaluation processes, and track conversational analytics accuracy. Requires strong SQL, dbt modeling, BI, communication, teaching, problem-solving, and project ownership skills.
Join Tech @ Ro to build the future of healthcare, from the ground up!
At Ro, we believe that when people achieve their health goals, they can achieve their life goals. The highest-leverage way to move society forward is to give people their health, and the current healthcare system isn’t built to do that. It was built to bill, not to serve patients.
We’re building a new system. One where the patient is in control. One designed from scratch for the digital age.
At Ro, technology isn’t just a function… It's core to how we deliver care. We’ve built a vertically integrated healthcare platform that connects telehealth, diagnostics, pharmacy, and logistics into a seamless, end-to-end experience for millions of patients.
…and we’re just getting started.
As part of Tech @ Ro, you’ll work on systems that operate at scale, with an opportunity to:
- Solve complex, high-concurrency problems across a full-stack platform
- Build and ship quickly with tight feedback loops and real-world impact
- Own systems end-to-end, from architecture to production performance
- Work alongside experienced operators, technical leaders, and clinicians
- Help define how modern healthcare should be delivered
We’re a performance-driven team with a strong sense of ownership and urgency. We move fast, learn quickly, and hold a high bar for what we build, and do so with a big heart — because patients depend on it.
If you’re motivated by impact, scale, and the chance to help lead the patient revolution, come build with us.
We are looking for an Analytics Engineer who will supercharge the organization by more fully unlocking Conversational Analytics. You thrive in a startup setting, where every day is different and the problems that you’re tackling don’t have established solutions.
The role will have two primary focuses:
1) building data models/semantic models, documentation, context, and evaluations to strengthen our LLMs’ ability to consistently achieve the correct answers, and
2) training non-data stakeholders to more efficiently and effectively interact with our data stack.
2) training non-data stakeholders to more efficiently and effectively interact with our data stack.
You will start your time by diving deep into day-to-day analyst work and as you build a strong understanding for how data is used by end stakeholders and build business context. You’ll then transition to building out tooling that allows stakeholders to self-service via Conversational Analytics. You take pride in developing tools, processes, and working frameworks and teaching your colleagues how to use them to better leverage data to generate insights and operationalize data. You have a bias for action, strong communication skills and a continual learning mindset.
What You'll Do
- For the first 2-3 months, embed with a stakeholder team to dive into day-to-day analyst work, build stakeholder relationships, and develop business fluence
- Build foundational data models, semantic models, documentation, and context that power conversational analytics across a variety of data domains (growth, product, business metrics, operations etc.)
- Approach opaque, unstructured problems by developing core analytic frameworks and standardized semantic models that shape the way the company thinks about our business
- Communicate and collaborate with different stakeholders to identify opportunities and build solutions that standardize our data approach to common problems across the company
- Teach and guide stakeholders on best practices for using LLMs for their own data needs, and distill what works into reusable training materials
- Develop and maintain AI evaluations for conversational analytics, tracking accuracy programmatically and building stakeholder feedback loops
What You’ll Bring to the Team
- 4+ years of full-time working experience in quantitative analysis roles, with a portion of that time focused on data modeling in DBT
- Hands-on experience using LLMs for coding and analytics, going beyond asking simple questions and building data products through LLM workflows
- Expert-level SQL skills
- Experience using BI tools (ours are Hex and Looker) to effectively convey information
- Strong communication and teaching skills
- Strong problem solving skills, analytical aptitude, and numerical dexterity
- Demonstrated track record of project ownership
Nice-to-haves
- Experience with AI evaluation of LLM tools
- Experience developing data pipelines and processes
- We are open to data analysts with demonstrable interest and project experience who are looking to make the transition to analytics engineer
The target base salary for this position ranges from $137,300 to $166,000 in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary.
Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents—earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide.
At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability and/or any other legally protected classification protected by federal, state, or local law.
Ro is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and interview process. If you require a reasonable accommodation in the application or interview process, please contact us at [email protected].
See our California Privacy Policy here.
Similar Jobs at Ro (Ro.co)
.png)
Healthtech • Pharmaceutical • Telehealth
Coordinate high-volume recruiting interviews, calendars, candidate communications, job postings, and onsite interview logistics. Partner with recruiters and hiring managers to deliver an organized, empathetic candidate experience. The role also supports Talent Team projects and requires strong communication, organization, adaptability, and problem-solving skills. This is a temporary six-month position with potential extension.
Top Skills:
Google MeetGoogle SuiteLever
Healthtech • Pharmaceutical • Telehealth
Provides empathetic, accurate support to telehealth patients through email, phone, chat, and internal platforms. Assists with onboarding, accounts, orders, shipments, billing, treatment offerings, and troubleshooting. Documents interactions, follows patient safety and confidentiality procedures, escalates clinical or technical issues, and meets quality and productivity goals. Identifies recurring concerns, shares feedback, collaborates cross-functionally, and participates in training and continuous improvement within a high-volume, metrics-driven environment.
Top Skills:
Ai Knowledge BasesEmailLive ChatMobile AppsZendesk
18 Hours Ago
Easy Apply
Easy Apply
Healthtech • Pharmaceutical • Telehealth
Provides empathetic, non-clinical support to telehealth patients and providers. Responsibilities include answering patient questions, managing EHR messages, investigating care issues, coordinating with pharmacies and insurers, assisting with benefits verification and prior authorizations, and communicating actionable next steps. The role also identifies workflow improvements, supports operational initiatives, and works toward service and quality metrics in a remote, asynchronous environment.
Top Skills:
Ai-Based ToolingElectronic Medical Records (Ehr)Google WorkspaceLlm-Based Message SystemsSlack
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
