[Hiring] AI Content Engineer @Soda Data

Role Description

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. Our open-source engine, Soda Core, is used by companies like Tesla, Slack, Adyen, Walmart, and JPMC. The category is growing fast because AI doesn't work on bad data.

We're hiring one person to own content at Soda, end to end. Soda's mission is to monitor the world's decisions. We're building the first Data & AI performance monitoring platform that spans data collection to automated decision-making. Soda helps customers find, understand, and fix data quality issues.

• The website, technical blogs, webinars, and product videos.
• Build the system that can handle content creation.
• Join the Growth team reporting to a co-founder.
• Titles may vary: Content engineer, technical content marketer, growth engineer, etc.

Why this is a real problem and not a content calendar:

• Expertise is already in the building.
• Founders and customer engineers have valuable insights.
• Your job is to extract knowledge and publish it efficiently.

Taste is the bar:

• Anti-slop is the whole point.
• Judgment to bin lifeless drafts and fix the pipeline.
• Output should reflect distinct voices.

What this is not:

• Not a software engineering job.
• Not a traditional marketing or DevRel role.

You can write and discern good writing from bad:

• Send us something you wrote that a technical audience actually read.

Serious prompt engineering:

• Multi-step LLM pipelines with structured outputs and evals.

Qualifications

• 3+ years building things that go to market: technical content, growth engineering, marketing engineering, GTM engineering, DevRel, marketing ops, RevOps, or a founder background.
• Enough code to be autonomous: Python or TypeScript, APIs, webhooks, a database.
• Enough data fluency to be credible: writing for Staff Data Engineers and CDOs.
• Generalist instinct: find the constraint and fix it.
• Independence: no need for hand-holding in a distributed, async team.
• Fluent English.

Good to Have

• Grown a technical audience of your own: newsletter, blog, LinkedIn, open source, YouTube.
• Experience in content, growth, or DevRel in data, developer tools, or infrastructure.
• Agentic workflows shipped to real users: MCP servers, Claude skills, tool-using agents.
• Ability to shoot and cut video yourself.
• Experience in data quality, data management, or data observability industry.

Compensation

• $120,000-$130,000 / €110,000-€120,000 per year + equity.
• Fully remote (US or EU-based), with offices in Brooklyn if desired.
• All the tokens you need, across all frontier models.
• Real ownership, real impact, no micromanagement.
• Colleagues in 12+ countries.

Our Values

• Freedom with responsibility.
• Transparency and a growth mindset.
• No tolerance for dishonesty.
• Open and direct communication without judgment.
• Proactive issue addressing.
• Frequent overcommunication.

Why you will love to join Soda

• Be part of a transformation in data quality.
• Ownership from day one.
• International culture with colleagues in 12+ countries.
• Work on your own terms: fully remote, flexible hours.
• Paid the same wherever you are.
• Your name on the work and the opportunity to build your own audience.
• Direct line to the founders.

What you might not love

• Rapidly changing priorities.
• Flexibility required for continuous learning.
• High standards leading to discarding of output.
• Judged on output, not architecture.

Hiring Process

• 15-minute phone screen with a founder.
• Short Assignment.
• Craft deep dive (90 min).
• Culture fit (1 hour).
• We answer every application within 3-5 days of each step.