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Software Engineer, AI Evaluation
Nuna · San Francisco, CA, United States
Pay
$148k–232k
Setting
Hybrid
Listed by Nuna for a position based in the United States. Employers on this board attest they are hiring domestically.
Lead Software Engineer
Nuna · San Francisco, CA, United States
Pay
$184k–230k
Setting
Hybrid
Listed by Nuna for a position based in the United States. Employers on this board attest they are hiring domestically.
Software Engineer
Nuna · San Francisco, CA, United States
Pay
$89k–196k
Setting
On-site
Chronic disease isn't managed in a clinic. It is managed at home, in relationships, in the everyday. What's on the dinner table, what gets said, and who notices when someone's struggling. For the 130 million Americans managing a chronic condition, the healthcare system has offered the same answer for decades: a 15-minute doctor's visit, a pamphlet, and a portal login they'll never use.
At Nuna, we are building an AI health coach that shows up like a person who actually has time: available at 3am, infinitely patient, and never behind a waiting room. We use motivational interviewing to help patients and their families see themselves clearly, design experiments that fit their real lives, and navigate a system that has not historically been on their side. We are building from the ground up around a simple belief: patients don't want to be healthy; they want their lives back.
We're not competing with other health apps. We're competing with the moment a person gives up on getting better. If that's a problem you want to work on, we'd like to talk.
Your team
Our products are only as good as the care and science behind them. We are a small team of engineers, designers, product managers, and clinicians who work together to build for both patients and providers.
You will be expected to own real pieces of the product from day one and be responsible for building, shipping, and supporting them in production.
The role
As a software engineer, you own meaningful parts of the product end to end: you design them, build them, ship them, and keep them running. You'll work in the systems at the heart of the coach — the AI and agent logic, the services behind it, the data it depends on — and you'll make the day-to-day architecture and trade-off calls within your domain. You'll do this with a high degree of autonomy, and you'll help raise the bar for the engineers around you. Comfort with ambiguity matters here: the work rarely arrives fully specified.
What you’ll do
- Own meaningful features and services end to end — design, build, ship, and operate them in production
- Contribute to architecture decisions in the systems you work in, including the AI/agent and product systems at the core of the coach
- Write high-quality, well-tested, observable code, and help others do the same through reviews and pairing
- Treat privacy, security, and the responsible handling of health data as part of doing the job well
- Break ambiguous product problems into shippable work, making pragmatic trade-offs to deliver
- Partner with product, design, and the Data org to turn requirements into working software
What we’re looking for
- Bachelor’s degree in computer science or similar field
- Strong engineering skills with the ability to own a feature or system end to end — backend services, APIs, and the code that ties them together
- Experience operating what you build: testing, deployment, and observability
- Comfort with ambiguity within your domain — able to move from a rough problem to a shipped solution
- Clear communication and the ability to work well across product, design, and engineering
- A genuine interest in improving healthcare alongside an interdisciplinary team
- Able to work from our San Francisco office a minimum of 2 days per week
Bonus Points
- Experience with Kotlin, TypeScript, React, and Flutter
- Experience with AI/LLM product systems or agents
- You've worked with healthcare data, or in another high-trust, regulated domain
- Mobile experience, or experience bridging mobile clients and backend systems
- Experience shipping in an early-stage or fast-moving consumer product
Nuna is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics and/or veteran status.
#LI-LM1
Listed by Nuna for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Software Engineer
Nuna · San Francisco, CA, United States
Pay
$157k–196k
Setting
On-site
Chronic disease isn't managed in a clinic. It is managed at home, in relationships, in the everyday. What's on the dinner table, what gets said, and who notices when someone's struggling. For the 130 million Americans managing a chronic condition, the healthcare system has offered the same answer for decades: a 15-minute doctor's visit, a pamphlet, and a portal login they'll never use.
At Nuna, we are building an AI health coach that shows up like a person who actually has time: available at 3am, infinitely patient, and never behind a waiting room. We use motivational interviewing to help patients and their families see themselves clearly, design experiments that fit their real lives, and navigate a system that has not historically been on their side. We are building from the ground up around a simple belief: patients don't want to be healthy; they want their lives back.
We're not competing with other health apps. We're competing with the moment a person gives up on getting better. If that's a problem you want to work on, we'd like to talk.
YOUR TEAM
Our products are only as good as the care and science behind them. We are a small team of engineers, designers, product managers, and clinicians who work together to build for both patients and providers.
You will be expected to own real pieces of the product from day one and be responsible for building, shipping, and supporting them in production.
THE ROLE
As a Senior Engineer, you own meaningful parts of the product end to end: you design them, build them, ship them, and keep them running. You'll work in the systems at the heart of the coach — the AI and agent logic, the services behind it, the data it depends on — and you'll make the day-to-day architecture and trade-off calls within your domain. You'll do this with a high degree of autonomy, and you'll help raise the bar for the engineers around you. Comfort with ambiguity matters here: the work rarely arrives fully specified.
WHAT YOU’LL DO
- Own meaningful features and services end to end — design, build, ship, and operate them in production
- Contribute to architecture decisions in the systems you work in, including the AI/agent and product systems at the core of the coach
- Write high-quality, well-tested, observable code, and help others do the same through reviews and pairing
- Treat privacy, security, and the responsible handling of health data as part of doing the job well
- Break ambiguous product problems into shippable work, making pragmatic trade-offs to deliver
- Partner with product, design, and the Data org to turn requirements into working software
- Mentor earlier-career engineers and lift the quality bar on your team
WHAT WE’RE LOOKING FOR
- 5+ years building and shipping production software
- Strong engineering skills with the ability to own a feature or system end to end — backend services, APIs, and the code that ties them together
- Experience operating what you build: testing, deployment, and observability
- Comfort with ambiguity within your domain — able to move from a rough problem to a shipped solution
- Clear communication and the ability to work well across product, design, and engineering
- A genuine interest in improving healthcare alongside an interdisciplinary team
- Able to work from our San Francisco office a minimum of 2 days per week
BONUS POINTS
- Experience with Kotlin, TypeScript, React, and Flutter
- Experience with AI/LLM product systems or agents
- You've worked with healthcare data, or in another high-trust, regulated domain
- Mobile experience, or experience bridging mobile clients and backend systems
- Experience shipping in an early-stage or fast-moving consumer product
Nuna is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics and/or veteran status.
#LI-LM1
Listed by Nuna for a position based in the United States. Employers on this board attest they are hiring domestically.
Lead Data Engineer
Nuna · San Francisco, CA, United States
Pay
$180k–225k
Setting
On-site
Chronic disease isn't managed in a clinic. It is managed at home, in relationships, in the everyday. What's on the dinner table, what gets said, and who notices when someone's struggling. For the 130 million Americans managing a chronic condition, the healthcare system has offered the same answer for decades: a 15-minute doctor's visit, a pamphlet, and a portal login they'll never use.
At Nuna, we are building an AI health coach that shows up like a person who actually has time: available at 3am, infinitely patient, and never behind a waiting room. We use motivational interviewing to help patients and their families see themselves clearly, design experiments that fit their real lives, and navigate a system that has not historically been on their side. We are building from the ground up around a simple belief: patients don't want to be healthy; they want their lives back.
We're not competing with other health apps. We're competing with the moment a person gives up on getting better. If that's a problem you want to work on, we'd like to talk.
YOUR TEAM
The data team at Nuna is an interdisciplinary group spanning data science, machine learning, data analytics, actuarial science, and research. Within it, data engineering is the technical backbone which creates the architecture, platform, and operations that everything else is built on.
You'll work shoulder to shoulder with both scientists and engineers, on a team led by a data scientist. That means the platform you build isn't an abstraction: it serves real modeling, research, and analytics needs, and you'll see exactly who depends on it and why.
THE ROLE
This is a foundational, hands-on role for someone who wants to build a data platform from zero to one and shape its direction as Nuna grows. You'll own the architecture and make the calls on standards, build-vs-buy, and trade-offs — often with incomplete information and the freedom to define the right answer yourself. Comfort with ambiguity isn't a nice-to-have; it is the job.
WHAT YOU’LL DO
- Own the architecture and evolution of the data platform, weighing trade-offs across timelines, cost, and resources
- Build and optimize the transformations, pipelines, and datasets that power our analytics and data science work
- Design and maintain integrations with external services
- Define and enforce standards for how data engineering code gets developed, reviewed, and deployed
- Establish security, governance, and operational best practices, in partnership with our security and enterprise data engineering teams
- Provide build-vs-buy assessments as the platform expands, and surface new opportunities to improve it
- Partner with engineering, design, product, and the wider Data org to turn business needs into working solutions
WHAT WE’RE LOOKING FOR
- Deep, hands-on expertise building and maintaining data platforms that support analytics and data science use cases
- A track record designing robust ETL ingestion pipelines from external sources into a data platform
- Experience setting standards for code development, deployment, and contribution in a data engineering environment
- Strong command of data platform languages (Python, PySpark, and SQL)
- The ability to translate fuzzy business and customer needs into clear requirements and an evaluation framework
- Clear communication and presentation skills, whether the audience is scientists, engineers, or product partners
- A genuine interest in improving healthcare alongside an interdisciplinary team 5–10 years of industry experience, including technical leadership of a data platform supporting business operations
BONUS POINTS
- You've built a data platform from zero to one before
- You've worked with healthcare data
- Degree in a quantitative field (data science, economics, statistics, engineering, or similar)
- Experience with SDLC and managing machine learning models in production (MLOps)
Nuna is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics and/or veteran status.
#LI-LM1
Listed by Nuna for a position based in the United States. Employers on this board attest they are hiring domestically.
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