BetterUp
Staff Full-Stack Engineer — Customer Value + Performance Intelligence (Tech Lead)
Austin, TX · Staff+
Sponsorship not specified$15k-$25kDetected 174 days ago
JavaScriptTypeScriptPythonRubyElixirHTMLCSSNode.jsRailsBackend DevelopmentFull-Stack DevelopmentCode ReviewSnowflakeAWSCloud PlatformsDockerKubernetesTerraformMachine LearningAirflowdbtData EngineeringData ScienceData Visualization
About the role
- 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.
Responsibilities
- 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
- 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
Requirements
- experience with modern backend tech stacks (we use Ruby and Elixir, but expertise in Python, Node.js, Go, or similar is valued)
- Comfort working with both structured and unstructured data
- Experience with analytics or BI platforms (Snowflake, dbt, Looker, or similar)
- Experience with ML model operationalization or MLOps practices
- Familiarity with data transformation and automation tools (Airflow, dbt, etc.)
- Experience with Ruby, Elixir, Rails, EmberJS
- Experience centralizing and standardizing data infrastructure across reporting and analytics use cases
Skills
- Centralize and standardize data collection, transformation, and serving approaches across our analytics stack (Snowflake, dbt, Looker)
- Delivered automation that measurably reduces manual LOE in insight generation and delivery
- Created tools that democratize Intelligence Layer access across cross-functional teams
- Improved data pipeline reliability and insight quality through robust engineering
Compensation
- The base salary range for the role is as follows:
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.
- Medical, dental, and vision insurance
- Flexible paid time off
- Learning and Development stipend
- The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits.
- Base salary is determined by job-related experience, education/training, residence location, as well as market indicators.
Company info
- 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
- Strong desire to delight enterprise customers by building software that delivers actionable insights they can't get anywhere else
- 7+ years relevant experience, at least part of which in a startup or high-growth environment
- At BetterUp, we compensate our employees fairly for their work.
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This listing is sourced directly from BetterUp's careers page and normalized into a canonical job model.