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Soda Data

Machine learning–driven data quality observability platform

Growth Engineer

Brand & Creative MarketingConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • At least 3 years of experience building go-to-market work in growth engineering, marketing operations, technical content, revenue operations, or a founder role.
  • Provide a writing sample that a technical audience has read; demonstrate the ability to evaluate writing quality.
  • Build multi-step large language model pipelines with structured outputs and evaluations, and demonstrate prompt engineering expertise.
  • Use Python or TypeScript, APIs, webhooks, and databases autonomously to build solutions without waiting on an engineer.
  • Identify constraints and build workflows rather than repeatedly performing manual tasks.
  • Demonstrate sufficient data fluency to discuss data pipelines, dbt, and data warehouses.
  • Work independently in a distributed, asynchronous team across 12 or more countries.
  • Be fluent in English.

Responsibilities

  • Build the content engine end to end, including ingestion, theme extraction, drafting, evaluations, and review.
  • Create content, including webinars and product videos.
  • Own and grow the audience.
  • Build the engine to reflect the distinct writing styles of the team rather than sounding like a model.
  • Make content quality measurable.
  • Own reach, engagement, and pipeline-influence metrics, and discontinue approaches that do not work.
  • Contribute to the rest of the Growth stack as constraints change.
  • Work directly with founders, customers, and customer engineers to improve how Soda communicates about the category.

Desired Qualifications

  • Experience in marketing or growth in data, developer tools, or infrastructure.
  • Experience growing a technical audience through a newsletter, blog, LinkedIn, or open source.
  • Experience building agentic workflows, such as MCP servers, Claude skills, or tool-using agents shipped to real users.
  • Experience in data quality, data management, or data observability.

About the Company

Soda Data

Machine learning–driven data quality observability platform

Soda.io is a SaaS platform for data monitoring and observability that helps organizations keep their data accurate and trustworthy. Its core product uses machine learning to detect anomalies in data and automate quality checks, giving real-time alerts and dashboards to monitor data integrity across data pipelines. The platform operates on a subscription model with multiple tiers and a free 45-day trial to attract customers. Soda.io differentiates itself by focusing specifically on data quality and observability (not application performance) with ML-driven anomaly detection and comprehensive dashboards, serving a global enterprise and B2B clientele. The company’s goal is to help enterprises maintain high data reliability so business decisions are based on trustworthy data.

Company size
51-200
Company stage
Series A
Total funding
$30.3M
Headquarters
City of Brussels, Belgium
Founded
2018

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