Data Engineer, Growth

Superhuman is an AI productivity platform offering an integrated suite of productivity applications and agents. The company is seeking a Data Engineer to own pipelines, models, and datasets that support user acquisition, paid marketing optimization, experimentation, and growth analytics. This role partners with Growth, Performance Marketing, Analytics Engineering, and Data Science to build reliable, scalable data products and machine-learning data infrastructure.

Responsibilities

Design, build, and own scalable data pipelines (Spark/Databricks) that power ad bidding and paid acquisition optimization across channels such as Google, Meta, and LinkedIn

Build and maintain the feature and training datasets that machine learning models rely on for bid optimization, budget allocation, and audience targeting, and help productionize those models alongside Data Science

Develop the measurement, attribution, and experimentation data layer behind web and landing-page optimization, so Growth can trust the numbers behind every test

Model growth and marketing data into clean, well-documented, reusable tables that analysts and data scientists can self-serve from

Own data quality, freshness, and reliability for growth-critical datasets, with automated checks, monitoring, and alerting

Partner with Growth, Marketing, Analytics Engineering, and Data Science to translate business questions into robust data models and trustworthy metrics

Continuously improve the performance, cost efficiency, and developer experience of our growth data platform

Preferred

Exposure to growth and performance-marketing domains, especially ad bidding, paid-acquisition optimization, and web or landing-page experimentation

Comfortable working with marketing and ad-platform data (for example, Google Ads, Meta, or LinkedIn) and core attribution and measurement concepts

A track record of building self-serve data products that other teams rely on

Experience partnering with performance marketers or growth leaders as a strategic data partner

Growth marketing

Performance marketing

Ad bidding

Paid acquisition optimization

Web experimentation

Landing-page experimentation

Marketing data analysis

Google Ads

Meta

LinkedIn

Attribution concepts

Measurement concepts

Data product development

Strategic data partnership

Benefits

Dynamic hybrid working model with flexible focus time and in-person collaboration

Excellent health care, including medical, dental, vision, mental health, and fertility benefits

Disability and life insurance options

401(k) matching

Paid parental leave

20 days of paid time off per year

12 days of paid holidays per year

Two floating holidays per year

Flexible sick time

Generous stipends, including caregiving, pet care, wellness, and home office stipends

Annual professional development budget and opportunities

Company

AI productivity suite for mail, docs, and workflows

San Francisco, California, USA

https://superhuman.com/

Founded in 2009

1001-5000 employees

Qualifications

You have 3+ years of experience building and operating production data pipelines and data platforms, ideally for growth, marketing, or experimentation use cases

You're highly proficient in SQL and Python, with deep hands-on experience in Spark and a modern lakehouse or cloud data warehouse (Databricks, Delta Lake, dbt, Snowflake, or similar)

You've supported machine learning workflows end-to-end, building feature pipelines, serving training and inference datasets, and partnering with data scientists to move models into production

You have strong data-modeling and warehouse-design skills and a rigorous approach to data quality and observability

You have experience with workflow orchestration and CI/CD for data (for example, Databricks Workflows or Airflow, with Git-based deployment)

You're comfortable using AI-assisted development tools like Claude Code or Codex to move faster, and you have the judgment to validate and supervise their output

You communicate clearly and collaborate well with partners across Growth, Marketing, and Data Science

You care about business impact and enjoy turning ambiguous growth questions into reliable, scalable data products

You're a self-starting problem-solver who thinks from first principles, manages priorities across multiple projects, and thrives in a fast-paced, results-driven environment

Exposure to growth and performance-marketing domains, especially ad bidding, paid-acquisition optimization, and web or landing-page experimentation

Comfortable working with marketing and ad-platform data (for example, Google Ads, Meta, or LinkedIn) and core attribution and measurement concepts

A track record of building self-serve data products that other teams rely on

Experience partnering with performance marketers or growth leaders as a strategic data partner

You have 3+ years of experience building and operating production data pipelines and data platforms, ideally for growth, marketing, or experimentation use cases.

Required skills

Represents the skills you have, click on the tags, SQL, Apache Spark, Databricks, Delta Lake, Dbt, Snowflake, Data Pipeline Development, Machine Learning Data Pipelines, Data Modeling, Data Quality and Observability, Workflow Orchestration

Experience

3+ years