BetterUp

SaaS

AIDataEngineer

$133–185k Austin, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“AI Data Engineer at BetterUp. Skills: data engineering, applied AI, data pipelines, AI tools, Snowflake, Python, SQL, LLMs, generative AI. Design, build, and maintain scalable data pipelines. Own and evolve data warehouse architecture (Snowflake)”

What You'll Achieve.

help our Sales, Marketing, and Customer Success teams move faster, make smarter decisions, and drive measurable business impact; Define and track key GTM metrics, ensuring consistent definitions and reliable data pipelines that support executive and board-level reporting; Measure and iterate on created systems, translating outputs into actionable tools that are accessible to non-technical stakeholders; 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; Re-architect team processes to incorporate AI at scale—automated reporting, intelligent workflow routing, systems building

Industry & Context.

SaaS
Problems you'll solve

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

Eligibility Requirements

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.

What They're Looking For.

Must Have

3–5 years of experience in data engineering, analytics engineering, GTM engineering or applied AI roles, 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, 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

Nice to Have

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

What You'll Do.

and maintain scalable data pipelines

Own and evolve data warehouse architecture (Snowflake)

Establish and enforce data quality standards

documentation practices

and governance frameworks

Develop and maintain dbt models

Define and track key GTM metrics

Develop and deploy AI tools for high-impact GTM use cases (lead scoring

customer segmentation)

Integrate LLMs and generative AI tooling into GTM systems

Measure and iterate on created systems

Lead cross-functional efforts to integrate AI into core GTM workflows

Coach teammates through AI adoption

Set measurable AI improvement objectives

Ensure failed AI experiments generate documented learnings

Make decisions about AI processes and tools

Re-architect team processes to incorporate AI at scale

How You'll Work.

Team & Collaboration

Partner with Sales, Marketing, and RevOps stakeholders; Lead cross-functional efforts to integrate AI into core GTM workflows; Coach teammates through AI adoption; Make decisions about AI processes and tools that impact your direct team, neighboring teams, and cross-functional partners

Communication Scope

ability to translate complex technical work into business impact

Full Job Description

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

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