Staff Full-Stack Engineer — Customer Value + Performance Intelligence (Tech Lead)

About the role

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.

Responsibilities

• Architect and build automation tooling that reduces manual effort in insight generation and delivery by 75%, unlocking our ability to scale from 15–25 customers 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, Customer Value, 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 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
• Centralize and standardize data collection, transformation, and serving approaches across our analytics stack (Snowflake, dbt, Looker)
• Support reporting and analytics teams in delivering both internal and customer-facing business insights with consistency and reliability
• Build and maintain data quality checks, validation systems, and observability tooling that ensure insight accuracy across the full pipeline
• Partner with Data Platform on shared standards for data modeling, metric definition, and reporting architecture to ensure metrics consistency across teams
• Own your components during the entire lifecycle, from planning through development, deployment, and maintenance
• Design data infrastructure that handles growing volumes of session recordings, chat data, and behavioral signals while maintaining performance and cost efficiency

Requirements

• 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
• Experience with analytics or BI platforms (Snowflake, dbt, Looker, or similar)
• Strong verbal and written communication skills
• Alignment with BetterUp's mission of enabling self-driven behavior change

Qualifications

• 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
• Experience centralizing and standardizing data infrastructure across reporting and analytics use cases
• Previous work on B2B SaaS products serving enterprise customers
• Interest in organizational psychology, talent analytics, or HR tech

Skills

• Strong desire to delight enterprise customers by building software that delivers actionable insights they can't get anywhere else
• Experience with automation and scaling of data pipelines
• Ability to work with both structured and unstructured data
• Experience with ML model operationalization and MLOps
• Experience with data transformation and automation tools
• Experience with data warehousing, analytics platforms, or BI tools
• Experience building internal tools and self-service platforms
• Experience with Ruby, Elixir, Rails, EmberJS
• Experience with data modeling, metric definition, and reporting architecture

Benefits

• 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
• All federal/statutory holidays observed
• 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

Pay

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

Schedule

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.