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About the Role

Soda is seeking an individual to own content creation and strategy end-to-end, building systems to scale content production. This role is crucial for disseminating expertise from founders and customer engineers to a wider audience, focusing on quality and distinct voices. The position reports to a co-founder within the Growth team.

Responsibilities

Build systems to scale content production, including technical blogs, webinars, and product videos.
Disseminate expertise from founders and customer engineers onto the internet at scale.
Ensure content quality and distinct voices, avoiding 'slop'.
Develop your own profile and following as part of the role.
Write code daily as part of the workflow.
Hold your own on topics of pipelines, data quality, and warehouses.
Identify constraints and fix them, preferring to build workflows over repetitive tasks.
Operate autonomously in a distributed, async team across 12+ countries.
Grow a technical audience through newsletters, blogs, LinkedIn, open source, or YouTube.
Ship agentic workflows to real users.
Shoot and cut video content.
Contribute to how Soda talks about the data quality category.

Requirements

Ability to write and build.
Ability to discern good writing from bad.
Serious prompt engineering skills with multi-step LLM pipelines, structured outputs, and evaluations.
3+ years of experience building go-to-market products in technical content, growth engineering, marketing engineering, GTM engineering, DevRel, marketing ops, RevOps, or a founder background.
Proficiency in Python or TypeScript, APIs, webhooks, and databases to ensure autonomy.
Experience with agentic workflows like Claude Code, MCP servers, and agent skills.
Sufficient data fluency to be credible with Staff Data Engineers and CDOs.
Generalist instinct to find and fix constraints.
Independence and ability to work in a distributed, async team.
Fluent English.
A portfolio demonstrating your work.
A writing sample that a technical audience has read.
Willingness to learn new things constantly.
Acceptance that much of your output may be discarded.
Focus on output quality over architectural elegance.

Skills

Writing
Building
Prompt Engineering
LLM Pipelines
Python
TypeScript
APIs
Webhooks
Databases
Agentic Workflows
Claude Code
MCP Servers
Data Fluency
Data Pipelines
Data Quality
Data Warehouses
Video Production

Location

US or EU-based
Remote
Offices in Brooklyn

Work Type

Fully remote
Flexible hours

Experience Level

3+ years building go-to-market products

Salary/Compensations

$120,000-$130,000 / €110,000-€120,000 per year + equity

Benefits

Equity
All the tokens you need, across all frontier models
Real ownership, real impact, no micromanagement
Colleagues in 12+ countries
International culture
Work on your own terms
Paid the same wherever you are
Your name on the work
Direct line to the founders

About the Company

Soda provides the data quality layer for major companies like Disney, Ralph Lauren, and CBRE.
Soda's open-source engine, Soda Core, is widely used by companies such as Tesla and Walmart.
The company is experiencing rapid growth in the data quality sector, essential for AI.
Soda's mission is to monitor the world's decisions by building a Data & AI performance monitoring platform.
The platform helps customers identify, understand, and resolve data quality issues.
Values include freedom with responsibility, transparency, and a growth mindset.
The company culture avoids politics, values honesty, and promotes open communication.
Soda proactively addresses issues and practices overcommunication.
Employees have full autonomy to make impactful decisions.