Google Ads Media Buyer / Growth Strategist (Remote)
Cordoba Sweat Pants Agency
Hoy
Everyone can run a search campaign.
Almost nobody can tell you whether it worked.
That is the whole job.
Google will happily show you a 6x ROAS built almost entirely out of people who already knew your client's name.
It will auto apply assets you did not ask for.
It will report a number that makes a client feel great and tells you nothing about whether you grew the business.
So we do not hire people to manage Google Ads.
We hire marketers who can tell the difference between demand they created and demand they harvested, and who can prove it to a client's face.
At Sweat Pants Agency we work with around 50 DTC and eCommerce brands, 20 to 25 of them on paid media.
We spend $6 to $9M a month on Meta and $1 to $2M a month on Google.
We are the only agency behind two INC #1 fastest growing brands, both from zero.
You would own a set of our Google accounts end to end.
Here is what "end to end" actually means.
You are the account manager.
We do not have any.
You talk to the client directly.
You write the updates, you run the calls, and you defend the call you made.
The reason we do it this way is ownership.
When you are the person answering for the account, it is your result, not somebody else's summary of your result.
You own the whole funnel, not the campaign.
Feed and Merchant Center, search and Shopping and PMax, Demand Gen and YouTube, the landing page, and the conversion tracking underneath all of it.
If the feed is why Shopping is starving, that is yours.
If the page is why the clicks do not convert, that is yours too.
Our team ships advertorials, comparison pages, and PDPs in Claude Code, deploys them to Vercel, points a subdomain at them, and tests them live before anything touches the client's Shopify theme.
You are expected to hftware engineering fundamentals with this new way of building software.
This is not a traditional AI/ML Engineer role .
You won't be training machine learning models or working primarily on Data Science.
Instead, you'll be engineering production software, navigating a large existing codebase, making architectural decisions,



improving reliability, and using AI coding agents to dramatically increase development velocity.
The adecuado person is a builder first : highly technical, pragmatic, product-oriented, low-ego, and comfortable taking ownership of complex systems.
What You'll Be Doing
Navigate, understand, and evolve a large existing production codebase.
Design and implement new product capabilities across a complex SaaS platform.
Make pragmatic architectural and system design decisions as the product continues to scale.
Identify technical debt, architectural risks, reliability issues, and opportunities for improvement.
Use Claude Code, Codex, Cursor, Copilot, or similar AI coding agents extensively throughout the software development lifecycle.
Leverage AI agents to explore codebases, design implementations, generate and refactor code, debug issues, write tests, and accelerate delivery.
Build and evolve backend services, APIs, integrations, data models, and application workflows.
Contribute across the application stack when needed.
Strengthen automated testing, maintainability, observability, reliability, and production readiness.
Improve development workflows, tooling, automation, and engineering practices.
Troubleshoot complex issues across application, data, and infrastructure layers.
Balance development speed with software quality and long-term maintainability.
Work closely with product leadership to translate business problems into effective technical solutions.
Help a small engineering team achieve significantly greater development leverage through AI-assisted engineering.
What You Bring
Strong professional experience building and operating production software systems .
Excellent software engineering fundamentals, including architecture, system design, debugging, testing,



and maintainability .
Experience working with large or complex existing codebases .
Strong backend or full-stack engineering experience using modern programming languages and frameworks.
Experience building modern web applications and SaaS products .
Strong understanding of APIs, application architecture, integrations, data modeling, and distributed systems .
Experience with relational databases and production data environments.
Strong understanding of automated testing and modern software development practices.
Familiarity with cloud environments, CI/CD pipelines, deployments, and production operations.
Ability to reason through technical trade-offs and make pragmatic architectural decisions.
Strong ownership and ability to work independently in an evolving product environment.
Product mindset: you understand not only how to build something, but also why it should be built.
AI-Native Engineering Experience
Hands-on experience using AI development tools is especially important for this position.
We're particularly interested in engineers who actively use tools such as:
Claude Code
OpenAI Codex
Cursor
GitHub Copilot
Windsurf
Other AI coding agents or agentic development tools
More importantly, we're looking for someone who uses AI beyond code completion.
You should be comfortable using AI to:
Understand unfamiliar codebases.
Investigate architecture and dependencies.
Design implementations.
Generate and refactor production code.
Debug complex issues.
Create and improve automated tests.
Review code and identify potential issues.
Automate repetitive engineering tasks.
Accelerate delivery while maintaining engineering quality.
We're looking for someone who sees AI as a core engineering tool , while still bringing the technical judgment required to make strong software and architectural decisions.
Nice to Have
Experience working in early-stage or high-growth product companies .
Previous experience as a Staff Engineer, Principal Engineer, Tech built or operated your own Shopify store, or you have run Meta at spend too
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