Motive Software · 1 week ago
Staff Full-Stack Engineer - Partner Value + Performance Intelligence
San Francisco, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$216K/yr - $297K/yr
7+ years expMotive Software is dedicated to human transformation and is seeking a driven full stack software engineer to join their team. The role focuses on building automation tooling and data pipelines to enhance Performance Intelligence, enabling the company to scale its partner offerings while maintaining high-quality insights.
AnalyticsArtificial Intelligence (AI)Machine LearningNatural Language ProcessingPredictive AnalyticsSoftwareText Analytics
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 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
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
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
Qualification
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
Preferred
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
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
Per year: All federal/statutory holidays observed
Per year: 4 BetterUp Inner Workdays (https://www.betterup.co/inner-work)
Per year: 5 Volunteer Days to give back
Per year: Learning and Development stipend
Per year: Company wide Summer & Winter breaks
Year-round charitable contribution of your choice on behalf of BetterUp
401(k) self contribution
Company
Motive Software
Technology enabling human insight.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
unknown2023-01-01Private Equity
2021-09-17Acquired
Company data provided by crunchbase