About this opportunity
Soda lists this AI Content Engineer opportunity in workfromhome, California. Review the employer’s description below for duties, qualifications and application requirements.
Job 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 Role
The website. Technical blogs, webinars, and product videos. Your own content and following.
One person cannot hand-make all of that. So you'll build the system that can. That isn't a stretch goal or a second phase - we don't think the job exists without it.
You'll join the Growth team reporting to a co-founder.
What you might call yourself.
Content engineer, technical content marketer, growth engineer, marketing engineer, GTM engineer, developer advocate, technical writer who got bored, or nothing in particular. We've seen this job posted under every one of those. We don't care what's on your CV. You need to be able to write and you need to be able to build, and almost nobody can do both.
Why this is a real problem and not a content calendar.
The expertise is already in the building. Founders who have argued about this category for a decade. Customer engineers who spend their week inside broken pipelines at Fortune 500s. Customers who will tell you things nobody has published anywhere. Almost none of it gets written down, and what does get out is hand-made, one piece at a time, by people who have other jobs. Your job is to get it out of their heads and onto the internet, at a volume that is only possible with a machine behind it.
Taste is the bar.
Anti-slop is the whole point. An engine that ships slop faster has negative value, and most of them do. We're hiring for the judgment to look at an accurate, competent, lifeless draft and bin it - then work out what the pipeline did wrong and fix it. The engine has to write in distinct voices: a founder sounds nothing like a customer engineer, and the output should sound like them, not like a model. Your own profile and following is part of how we'll know it works. If it can't make you sound good, it won't make anyone else sound good either.
What this is not.
You'll write code every day, but this is not a software engineering job. We're not hiring you to build product, and if you're a backend, data, or platform engineer looking for your next engineering role, this isn't it. It's also not a traditional marketing or DevRel role: no agency to brief and no conference circuit.
Requirements
You can write, and you can tell good writing from bad: send us something you wrote that a technical audience actually 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
3+ years building things that go to market: technical content, growth engineering, marketing engineering, GTM engineering, DevRel, marketing ops, RevOps, or a founder background. Nobody agrees what to call this job yet. Titles vary; portfolios don't
Enough code to be autonomous: Python or TypeScript, APIs, webhooks, a database. Nothing should be blocked waiting for an engineer. We build agentically here - Claude Code, MCP servers, and agent skills are the daily workflow
Enough data fluency to be credible: you're writing for Staff Data Engineers and CDOs. You can hold your own on pipelines, data quality, and warehouses
Generalist instinct: you find the constraint and fix it, and you'd rather build the workflow than do the task fifteen more times
Independence: you don't need hand-holding in a distributed, async team across 12+ countries
Fluent English
Good to Have
You've grown a technical audience of your own: newsletter, blog, LinkedIn, open source, YouTube
Content, growth, or DevRel in data, developer tools, or infrastructure
Agentic workflows shipped to real users: MCP servers, Claude skills, tool-using agents
You can shoot and cut video yourself
Data quality, data management, or data observability industry experience
Benefits
Compensation:
$120,000-$130,000 / €110,000-€120,000 per year + equity - the same band wherever you live. We don't discount for geography
Fully remote (US or EU-based), with offices in Brooklyn if you want one
All the tokens you need, across all frontier models
Real ownership, real impact, no micromanagement
Colleagues in 12+ countries
Our Values
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.
Why you will love to join Soda
Be part of a transformation: data quality is having its moment, and we're at the front of it
Ownership from day one: if you see a bottleneck, you remove it
International culture: colleagues in 12+ countries
Work on your own terms: fully remote, flexible hours
Paid the same wherever you are: one band for the US and Europe, no geographic discount
Your name on the work: you build your own audience on company time, and we want you to
Direct line to the founders: how Soda talks about the category gets decided with you in the room
What you might not love
Rapidly changing priorities: our roadmap can pivot quickly. It's a fast-paced environment with a LOT of work to be done
Flexibility required: you will have to learn new things all the time
You will kill a lot of your own output: accurate and lifeless still goes in the bin
Judged on output, not architecture: an elegant pipeline nobody reads from is a failure
Hiring Process
15-minute phone screen - with a founder
Short Assignment
Craft deep dive (90 min)
Culture fit (1 hour)
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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Worksite address
workfromhome, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.