AI Content Engineer

Soda

• $120K — $130K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Proficient in writing with the ability to distinguish quality content for a technical audience.
  • Expertise in prompt engineering, capable of creating detailed LLM pipelines and evaluating outputs.
  • Minimum of 3 years experience in go-to-market roles such as technical content, growth engineering, or DevRel.
  • Sufficient coding skills in Python or TypeScript to independently navigate project requirements.
  • Strong data fluency to engage with stakeholders like Staff Data Engineers and CDOs.
  • Problem-solving mindset with a focus on improving workflows and overcoming challenges.
  • Able to work independently in a distributed team across multiple time zones.

Responsibilities

  • Develop and systematize the process for creating high-quality technical content at scale.
  • Engage with various team members to extract valuable insights and knowledge.
  • Ensure the output adheres to distinct voices of different stakeholders.
  • Evaluate content rigorously, prioritizing quality over speed of delivery.
  • Implement workflows that minimize roadblocks and enhance output efficiency.

Benefits

  • Fully remote work environment (US or EU-based), with optional office space in Brooklyn.
  • Access to all necessary tokens across advanced AI models.
  • Opportunity for real ownership and impact in a non-micromanaged setting.
  • Work alongside diverse colleagues in over 12 countries.
Full Job Description
The Role

The website. Technical blogs, webinars, and product videos. Your own content and following.

One person cannot hand-make all of that. So you9ll build the system that can. That isn9t a stretch goal or a second phase - we don9t think the job exists without it.

You9ll 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. We9ve seen this job posted under every one of those. We don9t care what9s 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. We9re 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 we9ll know it works. If it can9t make you sound good, it won9t make anyone else sound good either.

What this is not. You9ll write code every day, but this is not a software engineering job. We9re not hiring you to build product, and if you9re a backend, data, or platform engineer looking for your next engineering role, this isn9t it. It9s 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 don9t.
  • 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: you9re 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 you9d rather build the workflow than do the task fifteen more times.
  • Independence: you don9t need hand-holding in a distributed, async team across 12+ countries.
  • Fluent English.
Good to Have
  • You9ve 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 / 80,000-80,000 per year + equity - the same band wherever you live. We don9t 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.


😡 What you might not love
  • Rapidly changing priorities: our roadmap can pivot quickly. It9s 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
  1. 15-minute phone screen - with a founder
  2. Short Assignment
  3. Craft deep dive (90 min)
  4. Culture fit (1 hour)

We answer every application, and every candidate hears back within 3-5 days of each step. If it9s not a hell yes, it9s a no, and we9ll tell you quickly and kindly.

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