BetterUp

AI Data Engineer

BetterUp$133K — $185K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5 years in data engineering, analytics, or applied AI roles.
  • Strong proficiency in Python and SQL.
  • Experience with data pipelines and modern cloud data warehouses (Snowflake, BigQuery, or Redshift).
  • Familiarity with agentic coding tools (Claude Code, Cursor, etc.).
  • Strong communication skills to convey technical concepts to non-technical audiences.

Responsibilities

  • Design and maintain scalable data pipelines for the GTM stack.
  • Own and evolve the data warehouse architecture (Snowflake) for analytics and reporting.
  • Establish data quality standards and governance frameworks.
  • Develop dbt models, SQL transformations, and Python scripts for reporting.
  • Create and track key GTM metrics for executive-level reporting.
  • Develop AI tools for lead scoring, forecasting, and churn prediction.
  • Integrate LLMs and generative AI into GTM operations.

Benefits

  • Access to BetterUp coaching for employees and family members.
  • Flexible paid time off policy.
  • All federal holidays observed plus 4 Inner Work Days and 5 Volunteer Days.
  • Learning and Development stipend to foster personal growth.
  • Company-wide Summer and Winter breaks for work-life balance.
Full Job Description
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 12 Salesforce 12 Snowflake 12 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.

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

#LI-Hybrid

About BetterUp

Prince Harry, Duke of Sussex, KCVO, ADC is a member of the British royal family. As the younger son of Charles, Prince of Wales, and Diana, Princess of Wales, he is sixth in the line of succession to the British throne. Born in St Mary's Hospital, London, Harry was educated at Wetherby School, Ludgrove School, and Eton College. He spent parts of his gap year in Australia and Lesotho, then underwent officer training at the Royal Military Academy Sandhurst. He was commissioned as a cornet into the Blues and Royals, serving temporarily with his brother William and completed training as a troop leader. In 2007–2008, he served for over ten weeks in Helmand Province, Afghanistan. He returned to Afghanistan for a 20-week deployment in 2012–2013 with the Army Air Corps. In June 2015, he resigned from the army. Harry launched the Invictus Games in 2014 and remains the patron of its foundation. He also gives patronage to several other organisations, including the HALO Trust and Walking With The Wounded. To encourage people to open up about their mental health issues, Harry, alongside the Duke and Duchess of Cambridge, initiated the mental health awareness campaign "Heads Together" in April 2016. In 2018, Harry was made Duke of Sussex prior to his wedding to American actress Meghan Markle. In January 2020, the couple stepped down as senior members of the royal family and moved to the Duchess's native Southern California. In October 2020, they launched Archewell Inc., an American public organisation that focuses on non-profit activities and creative media ventures. They have two children, Archie and Lilibet Mountbatten-Windsor.
Learn more about BetterUp
Industry
Founded
2013

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