Staff Full-Stack Engineer - Partner Value + Performance Intelligence
Full Stack Engineer · Staff · Full Time
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Role
What you'll do.
BetterUp is seeking a Staff Full-Stack Engineer to drive innovation in their Performance Intelligence platform, focusing on building automated, scalable systems that transform unstructured data into strategic workforce insights. The ideal candidate will architect data pipelines, develop self-service tools, and collaborate across engineering, product, and data science teams to revolutionize how organizations understand and develop their people.
Responsibilities
- Automation & Scale: Architect and build automation tooling to reduce manual insight generation efforts, design data pipelines for processing unstructured data, and create self-service tools for cross-functional teams
- Product Engineering: Develop enterprise-grade frontend and backend services, build robust APIs, and collaborate with data science to operationalize machine learning models
- Infrastructure & Reliability: Own full component lifecycle, build scalable systems using container technologies, design efficient data infrastructure, and implement data quality validation systems
Qualifications
What we look for.
Technical
Backend Development
Experience with Ruby, Elixir, Python, Node.js, or similar backend technologies
Frontend Development
Proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frontend frameworks
Data Processing
Experience building data pipelines, ETL processes, and working with large-scale data processing
Education
Educational Background
Bachelor's degree in Computer Science, Software Engineering, or related technical field preferred
Experience
Industry Experience
7+ years of relevant software engineering experience, preferably in a startup or high-growth environment
Engineering Practices
Strong software engineering practices including unit testing, code reviews, and design documentation
Skills
Required
Full Stack Development
Comprehensive skills in both frontend and backend engineering
Data Processing
Ability to handle structured and unstructured data at scale
Preferred
MLOps
Nice to haveExperience with machine learning model operationalization
Data Tools
Nice to haveFamiliarity with data transformation tools like Airflow and dbt
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 194,000 – 270,000
Benefits
BetterUp Coaching
Access to personal coaching for employee and a friend/family member
Health Insurance
Comprehensive medical, dental, and vision insurance
Flexible Time Off
Flexible paid time off policy
Professional Development
Learning and development stipend
Additional Time Off
4 Inner Workdays, 5 Volunteer Days, and company-wide summer and winter breaks
Retirement Planning
401(k) self-contribution option
Process
Interview steps.
- 01
Initial Screening
Initial review of application and qualifications
- 02
Technical Interview
Comprehensive technical assessment of engineering skills and experience
- 03
AI Integration Assessment
Evaluation of candidate's approach to AI-augmented work and technological innovation
- 04
Final Interview
Meeting with hiring team to assess cultural fit and final selection
Full posting
Original listing.
Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.
We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.
Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters.
This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.
Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.
If that sounds exciting—and the job description below feels like a fit—we really should start talking.
We are a hybrid company with a focus on in-person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week, or eight days per month. Our US hub locations include: Austin, TX; Chicago, IL; New York City, NY; San Francisco, CA; and the Washington, DC metro area. If this is a role based in Europe, our Europe hub locations are London, UK and Amsterdam, NL. Please ensure you can realistically commit to this structure before applying.
We're looking for a driven full stack software engineer who thrives at the intersection of data, automation, and product development. Someone who sees manual processes as opportunities for innovation, and who wants to build the intelligence infrastructure that transforms how organizations understand and develop their people.
Performance Intelligence
Our team is reframing BetterUp from a coaching vendor into a differentiated strategic partner through the "Performance Intelligence flywheel": talent insights → action at scale → proven ROI → more data → deeper insights → more impact. We're building the Intelligence Layer that unlocks BetterUp's vast unstructured data—session recordings, chat interactions, and behavioral signals—to deliver unprecedented workforce insights to our partners.
We're at an inflection point. We've proven the concept with early partners, and now we need to scale. That means transforming manual, high-touch processes into automated, self-service capabilities that can serve hundreds of partners while maintaining the depth and quality of insights that make us unique.
As part of the platform organization, you'll work in a data-driven environment building systems that democratize access to intelligence across our entire partner experience—from in-product Performance Intelligence features to consultative touchpoints with PICs, Partner Value teams, and Labs. You'll collaborate closely with Data Scientists and ML Engineers to operationalize cutting-edge models and make them accessible to the teams that drive partner value.
What you’ll do:
Automation & Scale:
Architect and build automation tooling that reduces manual effort in insight generation and delivery by 75%, unlocking our ability to scale from 15-25 partners to hundreds
Design and implement data pipelines that systematically process unstructured data (session recordings, chat logs, behavioral signals) through our Intelligence Layer
Build self-service tooling that empowers cross-functional teams (PICs, Partner Value, Labs) to access and deliver insights without engineering bottlenecks
Develop monitoring and observability systems to ensure insight quality and pipeline reliability at scale
Product Engineering:
Collaborate with product, design, and data science to craft enterprise-grade experiences for Performance Intelligence features on our SPAs frontend (Ember, Lit) and backend services (Ruby, Elixir)
Build robust APIs and interfaces that surface Intelligence Layer capabilities across multiple touchpoints—both in-product and through consultative tools
Partner with ML Engineers and Data Scientists to operationalize unstructured data models and signal detection systems
Strong desire to delight enterprise customers and partners by building software that delivers actionable insights they can't get anywhere else
Infrastructure & Reliability:
Own your components during the entire lifecycle, from planning, development, deployment and maintenance phase
Build scalable and resilient systems using container technologies (Docker, K8s) and cloud infrastructure as code (AWS, Terraform)
Design data infrastructure that handles growing volumes of session recordings, chat data, and behavioral signals while maintaining performance and cost efficiency
Implement data quality checks and validation systems to ensure insight accuracy and reliability
If you have some or all of the following, please apply:
Required:
7+ years relevant experience, at least part of which in a startup or high-growth environment
Strong software engineering practices (coding, unit testing, code reviews, design documentation and collaborative reviews)
Backend development: Experience with modern backend tech stacks (we use Ruby and Elixir, but expertise in Python, Node.js, Go, or similar is valued)
Frontend development: JavaScript/TypeScript, HTML5, CSS3 and knowledge of modern frontend frameworks
Experience building data pipelines, ETL processes, or working with large-scale data processing
Comfort working with both structured and unstructured data
Strong verbal and written communication skills
Alignment with BetterUp's mission of enabling self-driven behavior change
Valued:
Experience with ML model operationalization or MLOps practices
Familiarity with data transformation and automation tools (Airflow, dbt, etc.)
Background in building internal tools and self-service platforms
Experience with Ruby, Elixir, Rails, EmberJS
Understanding of data warehousing, analytics platforms, or BI tools
Previous work on B2B SaaS products serving enterprise customers
Interest in organizational psychology, talent analytics, or HR tech
What Success Looks Like:
By the end of your first year, you will have:
Delivered automation that measurably reduces manual LOE in insight generation and delivery
Built systems that enable Performance Intelligence to scale to 3-5x more partners
Created tools that democratize Intelligence Layer access across cross-functional teams
Improved data pipeline reliability and insight quality through robust engineering
Contributed to making BetterUp's Performance Intelligence an indispensable strategic platform for our partners
AI at BetterUp
Our team thrives at the intersection of human expertise and AI capability. As an AI-forward company, adaptation and continuous learning are part of our daily work. We're looking for teammates who are excited to evolve alongside technology – people who experiment boldly, share their discoveries openly, and help define best practices for AI-augmented work. These professionals thoughtfully integrate AI into their work to deliver exceptional results while maintaining the human judgment and creativity that drives real innovation. During our interview process, you’ll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact.
Benefits:
At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.
Access to BetterUp coaching; one for you and one for a friend or family member
A competitive compensation plan with opportunity for advancement
Medical, dental, and vision insurance
Flexible paid time off
Per year:
All federal/statutory holidays observed
4 BetterUp Inner Workdays (https://www.betterup.co/inner-work)
5 Volunteer Days to give back
Learning and Development stipend
Company wide Summer & Winter breaks
Year-round charitable contribution of your choice on behalf of BetterUp
401(k) self contribution
We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out — we encourage everyone interested in joining us to apply.
BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future.
The base salary range for the role is as follows:
New York and San Francisco: $216,000 - $270,000
Austin and Arlington (D.C. Area): $194,000 - $243,000
Protecting your privacy and treating your personal information with care is very important to us, and central to the entire BetterUp family. By submitting your application, you acknowledge that your personal information will be processed in accordance with our Applicant Privacy Notice. If you have any questions about the privacy of your personal information or your rights with regards to your personal information, please reach out to [email protected]
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