Original listing text, shown exactly as published by the company.
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 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
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 by building software that delivers actionable insights they can't get anywhere else
Data Reporting & Analytics Infrastructure
- 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
Infrastructure & Reliability
- Own your components during the entire lifecycle, from planning through development, deployment, and maintenance
- 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
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
- 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
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
- 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
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 customers
- Created tools that democratize Intelligence Layer access across cross-functional teams
- Improved data pipeline reliability and insight quality through robust engineering
- Contributed to a shared reporting foundation that internal teams and customers trust
- Contributed to making BetterUp's Performance Intelligence an indispensable strategic platform for our customers
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.
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.…
