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 BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met, and most importantly, work that matters.
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.
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; New York City, NY; San Francisco, CA; and the Washington, DC metro area. Please ensure you can realistically commit to this structure before applying.
The Opportunity
BetterUp’s GTM Data & Operations team is investing in the infrastructure, intelligence, and automation that powers our go-to-market engine. As an AI / Data Engineer (P3), you will sit at the intersection of data engineering and applied AI—building the pipelines, models, and systems that help our Sales, Marketing, and Customer Success teams move faster, make smarter decisions, and drive measurable business impact. This is a high-impact role for someone who thrives when technology and strategy meet.
What You’ll Do
Data Engineering & Infrastructure
Design, build, and maintain scalable data pipelines that serve clean, reliable data across the GTM stack.
Own and evolve our data warehouse architecture (Snowflake) to support GTM analytics, reporting, and AI workloads.
Establish and enforce data quality standards, documentation practices, and governance frameworks to ensure trustworthy data at scale.
Develop and maintain dbt models, SQL transformations, and Python scripts that power self-serve reporting and downstream analysis.
Define and track key GTM metrics, ensuring consistent definitions and reliable data pipelines that support executive and board-level reporting.
Applied AI for GTM
Develop and deploy AI tools for high-impact GTM use cases including lead scoring, pipeline forecasting, churn prediction, and customer segmentation.
Partner with Sales, Marketing, and RevOps stakeholders to identify where AI can automate workflows, surface insights, and unlock new capacity.
Integrate LLMs and generative AI tooling into GTM systems to streamline operations and accelerate decision-making.
Measure and iterate on created systems, translating outputs into actionable tools that are accessible to non-technical stakeholders.
Lead cross-functional efforts to integrate AI into core GTM workflows, ensuring adoption across direct and neighboring teams.
Coach teammates through AI adoption, helping them build new capabilities and overcome resistance to change.
If You Have Some or All of the Following, Please Apply
Required
3–5 years of experience in data engineering, analytics engineering, GTM engineering or applied AI roles.
Strong proficiency in Python and SQL.
Experience building and maintaining data pipelines, reverse ETL workflows and working with modern cloud data warehouses (Snowflake, BigQuery, or Redshift).
Familiarity with agentic coding tools (Claude Code, Cursor, etc.).
Familiarity with GTM tools and ecosystems (Salesforce, Hubspot, Clay, etc.).
Demonstrated ability to build and deploy models (lead scoring, forecasting, classification) in a business context.
Experience integrating data and AI into CRM and/or marketing automation platforms (Salesforce, HubSpot, Marketo, etc.).
Familiarity with BI tools such as Looker or Hex for dashboard development and self-serve analytics.
Familiarity with software engineering principles and tools (version control, CI/CD, testing, code review, Github etc.)
Systems-level thinking with the ability to trace data and logic across multiple platforms (e.g., HubSpot → Salesforce → Snowflake → BI layer) and understand how changes in one system ripple across the stack.
Strong communication skills with the ability to translate complex technical work into business impact.
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field—or equivalent practical experience.
Preferred
Prior experience in a Revenue Operations or GTM Analytics function at a B2B SaaS company.
Hands-on experience building with LLMs or deploying generative AI solutions in a production environment.
Hands-on experience with decoupled or "headless" semantic layers (Cube, Snowflake Cortex etc.)
Track record of working in a high-growth startup or scale-up environment where priorities evolve quickly.
Hands-on experience with dbt for data transformation.
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.
As an AI / Data Engineer, you will be expected to:
Lead cross-functional efforts to integrate AI into core GTM workflows, ensuring adoption across direct and neighboring teams.
Set measurable AI improvement objectives based on functional strategy with minimal manager direction.
Ensure failed AI experiments generate documented learnings that inform future decisions and prevent rework.
Make decisions about AI processes and tools that impact your direct team, neighboring teams, and cross-functional partners.
Re-architect team processes to incorporate AI at scale—automated reporting, intelligent workflow routing, systems building.
During our interview process, you’ll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact. We encourage all candidates to share examples of how they’ve used AI tools in their work.
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.
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
4 BetterUp Inner Work Days
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
We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out—we encourage everyone interested in joining us to apply.
BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future.
Base salary range for this role is:
$133,000- $185,000
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