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Full-Stack Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: BetterUp, Inc.
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, AI Engineer, Data Security
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Staff Full-Stack Engineer

Better Up Mission

Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.

We do. 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. You get a personal Better Up Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal Better Up Coach), and most importantly, work that matters.

This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.

Join Us

Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.

If that sounds exciting—and the job description below feels like a fit—we really should start talking.

Hybrid Work Structure

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. Please ensure you can realistically commit to this structure before applying.

Role Overview

We’re looking for a driven full stack software engineer who thrives at the intersection of data, automation, and product development. Someone who sees manual processes as opportunities for innovation, and who wants to build the intelligence infrastructure that transforms how organizations understand and develop their people.

Performance Intelligence

Our team is reframing Better Up from a coaching vendor into a differentiated strategic partner through the "Performance Intelligence flywheel": talent insights → action at scale → proven ROI → more data → deeper insights → more impact. We’re building the Intelligence Layer that unlocks Better Up's vast unstructured data—session recordings, chat interactions, and behavioral signals—to deliver unprecedented workforce insights to our partners.

We’re at an inflection point. We’ve proven the concept with early partners, and now we need to scale. That means transforming manual, high-touch processes into automated, self-service capabilities that can serve hundreds of partners while maintaining the depth and quality of insights that make us unique.

As part of the platform organization, you’ll work in a data-driven environment building systems that democratize access to intelligence across our entire partner experience—from in-product Performance Intelligence features to consultative touchpoints with PICs, Partner Value teams, and Labs. You’ll collaborate closely with Data Scientists and ML Engineers to operationalize cutting-edge models and make them accessible to the teams that drive partner value.

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 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
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…
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