Growth Engineer
Soda Data
Growth Engineer
Soda Data
Machine learning–driven data quality observability platform
Soda Data · New York, United States (Remote) · Full-time · Posted 2026-07-31
Salary: USD 120,000–130,000
Workplace: remote
Department: Growth
Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the team they call.
Soda is the data quality layer for Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games, and Nubank. The category is growing rapidly because AI doesn't work on bad data.
We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it. You'll join the Growth team reporting to a co-founder, and build the systems the rest of the team runs on: content, visuals, videos, skills, agents- whatever the biggest constraint is that quarter. Your first and largest project is the content engine.
We publish a lot - webinars, technical blogs, founder LinkedIn, product marketing - and most of it is still hand-made. Your job is to build a pipeline that turns a raw source into content a Staff Data Engineer or CDO with 20 years of experience would read and forward: real prompt engineering, a defined voice per author, evals that catch regressions, and the taste to kill output that's accurate and lifeless. Anti-slop is the point: an engine that ships slop faster has negative value. We build agentically here - Claude Code, MCP servers, and agent skills are the daily workflow.
We value freedom with responsibility, transparency, and a growth mindset. We avoid politics, have no tolerance for dishonesty, and value open and direct communication without judgment. We proactively bring up and address potential issues before they become critical, and we overcommunicate frequently. Working at Soda, you will have full autonomy to make impactful decisions.
We answer every application, and every candidate hears back within 3-5 days of each step. If it's not a hell yes, it's a no, and we'll tell you quickly and kindly.
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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.
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