Own the end-to-end development of customer-focused data products
Translate business questions from Go-To-Market (Sales, Marketing and CS) and Product partners into clear requirements
Explore product usage and feedback data and turn findings into dashboards, reports, and recommendations
Advocate for data quality and performance as you shape the long-term analytics strategy around customers and their lifecycle
Collaborate closely with R&D and product teams to define data contracts and ensure product telemetry and event tracking are structured for downstream analytics

Requirements

4+ years of experience building data infrastructure in a high-growth startup or fast-moving technology environment
Strong experience designing and maintaining production-grade data pipelines in a modern data stack
Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
Strong proficiency with SQL and at least one programming language (e.g., Python, Scala)
Deep experience with data transformation frameworks (dbt) and modern data modeling practices
Experience with data orchestration tools such as Airflow or Dagster to manage and monitor pipelines
Experience integrating and unifying data from multiple SaaS platforms and product data sources
Experience working in SaaS or technology environments, especially with product analytics and customer lifecycle data.

Benefits

Unlimited Time Off & Flexible Working Style
Health benefits from Day 1
Company-wide holiday shutdown yearly
Monthly Company-Wide & Team-Specific Socials
Annual Holiday Party

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data infrastructuredata pipelinesSQLPythonScaladata transformation frameworksdata modeling practicesdata orchestration toolsdata integrationdata unification

Soft Skills

collaborationadvocacycommunicationanalytical thinkingproblem-solving