AI Content Engineer

San Francisco, CA (Remote)

$120K/yr – $130K/yrSenior LevelFull time

Posted 5 hrs ago

Job Summary

Own and scale the machine-enabled content engine to publish technical content at scale, shaping distinct voices for founders and engineers while maintaining quality and velocity.

  • Build the automation and systems that enable publishing at scale
  • Write and refine technical content for a distributed audience
  • Collaborate with Growth and leadership to align on voice and strategy

Job Description

Responsibilities

  • 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.
  • 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&aposre 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&aposll 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&aposll write code every day, but this is not a software engineering job. We&aposre not hiring you to build product, and if you&aposre 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&apos 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

Preferred

  • 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
Soda logo

Soda

4.2 Glassdoor

Most companies struggle to operationalize data governance and quality. Business teams don’t want to manually enforce rules, and engineers get buried in pipeline issues — eroding trust in data and slowing innovation.Soda fixes this with the only end-to-end data quality platform that automates the entire workflow — from detection to resolution — with AI built for data quality.We meet users where they are:- Engineers manage everything as code in Git.- Business users create and review data contracts in a collaborative interface.- Together, they work in a shared, AI-powered workflow to define quality expectations, monitor metrics, and isolate and remediate bad data directly in their environment.By uniting teams, automating with AI, and securing trust at the source, Soda helps organizations like Disney, Nubank, and HelloFresh restore confidence in their data and decisions.Why Soda?- Best AI for Data Quality — purpose-built, faster, and more accurate, with 70% fewer false positives than traditional monitoring.- Unite Business and Engineering — collaborative data contracts that bridge governance and technical workflows.- Securely Isolate and Fix Bad Data — record-level anomaly detection and remediation inside your own environment.Soda brings width and depth to data quality — from every dataset across multiple warehouses to every individual record in a dataset.Join us in building a world where teams trust their data, decisions, and AI.

Founded in 2018
Brussels, Brussels Region, BEL
130 employees (8 in marketing)
1% recommend to a friend

Salaries

Posted range

$120K/yr – $130K/yr

Taken straight from the job posting.

See all Soda salaries

Marketing Team

Marketing Team Size
6 (5% of company)
Median Tenure
1.3 years
Marketing Roles Posted (Last 30 Days)
3

Funding

Total Funding
$31.5M
Last Raise
$14M
Series Unknown

Funding History

  • Jul 2024
    Series Unknown • $14M
  • Feb 2021
    Series A • $13.8M
  • Sep 2020
    Seed • $3.1M

Traffic Signals

Monthly Visitors
41.8K
Monthly Google Ads Budget
$1.5K
Traffic Source Mix
Search
35.9%
Direct
44.8%
Referral
0.7%
Social
6.8%

Headcount Trend

Current headcount: ~130

Recent News

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AI Content Engineer

Soda · San Francisco, CA · Remote