Staff Full-Stack Engineer - Customer Value + Performance Intelligence

About the role

This role owns the design and delivery of the automation and intelligence systems that turn BetterUp's vast behavioral data into actionable workforce insights at scale. You will architect and build the tooling that reduces manual insight generation by 75 percent, enabling the business to move from a handful of customers to hundreds without sacrificing depth or quality. You will design and implement the data pipelines that process unstructured data such as session recordings, chat logs, and behavioral signals through the Intelligence Layer. You will build self-service tooling that allows cross-functional teams to access and deliver insights without engineering bottlenecks. You will develop monitoring and observability systems that ensure insight quality and pipeline reliability as volume grows. You will collaborate closely with Data Scientists and ML Engineers to operationalize cutting-edge models and make them accessible to teams driving customer value. You will partner with product, design, and analytics to craft enterprise-grade experiences across our frontend and backend systems. You will centralize and standardize how data is collected, transformed, stored, and served to both internal stakeholders and external customers.

Key facts

What you'll do

Architect and build automation tooling that reduces manual effort in insight generation and delivery by 75 percent, unlocking the ability to scale from 15-25 customers to hundreds.

Design and implement data pipelines that systematically process unstructured data including session recordings, chat logs, and behavioral signals through the Intelligence Layer.

Build self-service tooling that empowers cross-functional teams such as PICs, Customer Value, and Labs to access and deliver insights without engineering bottlenecks.

Develop monitoring and observability systems to ensure insight quality and pipeline reliability at scale.

Collaborate with product, design, and data science to craft enterprise-grade experiences for Performance Intelligence features on our single-page application frontend using Ember and Lit, and backend services built with Ruby and 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 into production-ready services.

Strengthen data reporting and analytics infrastructure by centralizing and standardizing data collection, transformation, and serving approaches across Snowflake, dbt, and Looker.

Support internal and customer-facing reporting teams by delivering consistent and reliable business insights through analytics and data quality improvements.

Champion data quality by building and maintaining validation, checks, and testing frameworks that ensure reliability of reporting and insights.

Optimize data pipelines for performance, scalability, and maintainability as data volume and complexity increase.

Contribute to the reliability and maintainability of the Intelligence Layer by writing clean, well-documented, and testable code.

Work within a data-driven environment to prioritize initiatives that have the highest impact on customer insight depth and operational efficiency.

Act as an owner of the end-to-end delivery of features that connect coaching interactions, behavioral data, and workforce insights to enterprise customers.

Requirements

Must have a Bachelor's degree in Computer Science, Engineering, or a related technical field or equivalent practical experience.

Must have demonstrated professional experience as a full-stack software engineer building production-grade applications.

Must be highly proficient in JavaScript or TypeScript for frontend development, with experience in frameworks such as Ember or Lit.

Must be highly proficient in backend languages such as Ruby or Elixir, with experience building APIs and services that scale.

Must have experience working with data platforms and tools such as Snowflake, dbt, and Looker or similar analytics stacks.

Must have experience designing and implementing data pipelines for processing structured and unstructured data.

Must have strong experience with version control, code review, testing, and deployment practices in a collaborative team environment.

Must be able to demonstrate a track record of building reliable, maintainable, and scalable systems that support enterprise customers.

Nice to have

Experience with machine learning model operationalization and MLOps practices.

Experience building or consuming GraphQL APIs.

Experience with containerization and orchestration platforms such as Docker and Kubernetes.

Experience with monitoring, logging, and observability tools such as Prometheus, Grafana, or similar.

Experience contributing to open source or publishing technical work in the field of data or workforce intelligence.

Practical notes

This role is based in Austin, TX, and requires in-person collaboration a minimum of two days per week or eight days per month.

Employees are expected to work from one of our office hubs when necessary, with hub locations including Austin, TX; Chicago, IL; New York City, NY; San Francisco, CA; and Washington, DC metro area.

If this role is based in Europe, hub locations include London, UK and Amsterdam, NL.

Please ensure you can realistically commit to this hybrid schedule before applying.

The role is full-time, and we offer a comprehensive benefits package that includes a personal BetterUp Coach, development plans, and a culture focused on continuous learning.

We are an equal opportunity employer and deeply committed to building a diverse and inclusive team.