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About the Role
As a Data Engineer on the RTM Growth team, you will own the pipelines, models, and datasets that power how Superhuman acquires and grows users across its multi-product, AI-native productivity platform. You will partner closely with Growth, Performance Marketing, and Data Science to transform raw acquisition, ad-platform, and product-usage signals into reliable, decision-grade data. This role is high-ownership and high-impact, operating at the intersection of data engineering, machine learning, and growth, with systems that directly shape growth investments and user acquisition.
Responsibilities
- Design, build, and own scalable data pipelines (Spark/Databricks) for ad bidding and paid acquisition optimization.
- Build and maintain feature and training datasets for machine learning models used in bid optimization, budget allocation, and audience targeting.
- Help productionize machine learning models in collaboration with Data Science.
- Develop the measurement, attribution, and experimentation data layer for web and landing-page optimization.
- Model growth and marketing data into clean, well-documented, reusable tables for self-service by analysts and data scientists.
- Own data quality, freshness, and reliability for growth-critical datasets, implementing 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 the growth data platform.
Requirements
- 3+ years of experience building and operating production data pipelines and data platforms, ideally for growth, marketing, or experimentation use cases.
- High proficiency in SQL and Python.
- Deep hands-on experience in Spark and a modern lakehouse or cloud data warehouse (Databricks, Delta Lake, dbt, Snowflake, or similar).
- Experience supporting machine learning workflows end-to-end, including building feature pipelines, serving training and inference datasets, and partnering with data scientists to productionize models.
- Strong data-modeling and warehouse-design skills.
- Rigorous approach to data quality and observability.
- Experience with workflow orchestration and CI/CD for data (e.g., Databricks Workflows or Airflow, with Git-based deployment).
- Comfortable using AI-assisted development tools (e.g., Claude Code or Codex) and validating their output.
- Clear communication and collaboration skills with partners across Growth, Marketing, and Data Science.
- Focus on business impact and transforming ambiguous growth questions into reliable, scalable data products.
- Self-starting problem-solver who thinks from first principles, manages priorities across multiple projects, and thrives in a fast-paced, results-driven environment.
Skills
- SQL
- Python
- Spark
- Databricks
- Delta Lake
- dbt
- Snowflake
- Workflow orchestration
- CI/CD for data
- Git
- AI-assisted development tools
Location
- San Francisco
- Seattle
Work Type
- Hybrid
Experience Level
- 3+ years
Salary/Compensations
- US Zone 1: $190,000 to $240,000
Benefits
- Excellent health care (medical, dental, vision, mental health, fertility)
- Disability and life insurance
- 401(k) matching
- Paid parental leave
- 20 days paid time off
- 12 days paid holidays
- Two floating holidays
- Flexible sick time
- Generous stipends (caregiving, pet care, wellness, home office)
- Annual professional development budget and opportunities
About the Company
- Superhuman is an AI productivity platform on a mission to unlock superhuman potential.
- The Superhuman suite of apps and agents integrates with over 1 million applications and websites.
- Products include Grammarly's writing assistance, Docs’ collaborative workspace, Mail's inbox management, and Go, the proactive AI assistant.
- Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide.
- Superhuman is a compound startup, building multiple products as one integrated suite.
Equal Opportunity
- Superhuman values diversity and encourages applications from individuals traditionally underrepresented in tech.
- Does not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law.
- Superhuman is an equal opportunity employer.
- Participant in the US federal E-Verify program (US).
- Abides by the Employment Equity Act (Canada).