Growth Engineer

Job not on LinkedIn

🔥 8 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $120k - $130k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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Soda

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Series A on 2021-02

Consulting • Healthcare • Logistics

Soda is a GenAI-first platform focused on data quality and data observability. It helps organizations ensure their data products and pipelines are reliable by embedding declarative data quality checks into existing workflows. Soda provides a seamless experience for data validation, allowing monitoring of data quality health using out-of-the-box observability and tests. The platform offers integrations with existing tools and frameworks, making it suitable for various personas within data teams to contribute to maintaining high data standards. Soda is trusted by over 100 organizations to streamline their data quality processes in production environments.

📋 Description

• Build the content engine end-to-end: ingestion, theme extraction, drafting, evals, and the review step • Create content including webinars and product videos • Own and grow audience • Our team writes in distinct ways; the engine should sound like them, not like a model. • Make quality measurable. • Own the numbers - reach, engagement, pipeline influence - and cut what doesn't work. • Contribute the rest of the Growth stack as constraints move. • Work directly with the founders, customers, customer engineers, to lean and improve on how Soda talks about the category. Your opinion matters here.

🎯 Requirements

• 3+ years building things that go to market: growth engineering, marketing ops, technical content, RevOps, or a founder background. Titles vary; portfolios don't. • You can write, story tell, and you can tell good writing from bad: send us something you wrote that a technical audience read. The most important line in this ad. • Serious prompt engineering: multi-step LLM pipelines with structured outputs and evals, not chatting with a model. You know why the naive version produces slop. • Enough code to be autonomous: Python or TypeScript, APIs, webhooks, a database. Nothing should be blocked waiting for an engineer. • Generalist instinct: you find the constraint and fix it, and you'd rather build the workflow than do the task fifteen more times. • Enough data fluency to be credible: you can hold your own on pipelines, dbt, and warehouses. • Independence: you don't need hand-holding in a distributed, async team across 12+ countries. • Fluent English.

🏖️ Benefits

• $120,000-$130,000 base salary + equity. • Fully remote (US-based), with our Brooklyn office available if you want one. • All the tokens you need, across all frontier models. • Real ownership, real impact, no micromanagement. • PTO, 401k, medical insurance.