Google Ads Media Buyer / Growth Strategist (Remote)Cordoba Sweat Pants AgencyHoyEveryone 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 have an opinion about attribution and to defend it.
We optimize to NC-CPA and NC-ROAS, not blended and not last click.
We have turned brand search off to see what actually shifts to organic.
We run geo holdouts.
If a campaign is not incremental, we would rather know than keep the number.You can live anywhere.
We are remote and we hire worldwide.
The one hard requirement is that you can take client calls during US Eastern business hours, because you are the client's point of contact.
The rest of your day is yours.
Nobody here is on a time clock.
We judge you oigh-volume data sources .
Build integrations using REST APIs, cloud-native services,



event-driven architectures, and modern software engineering practices .
Develop backend services primarily using Python and/or Go .
Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.Build and operate containerized services using Docker and Kubernetes .
Deploy and integrate solutions across AWS, Azure, and GCP environments .
Troubleshoot complex customer deployment and integration issues across application, infrastructure, networking, API, and data layers.Optimize ingestion performance, reliability, scalability, and operational efficiency.Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.Act as a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation best practices.Identify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.Contribute technical insights from real-world implementations to the product roadmap.Support production adoption and continuously improve time-to-value for enterprise customers.Participate in occasional customer-facing technical sessions and, when necessary, onsite engagements.What You Bring10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.Strong software development experience with:PythonGoStrong experience designing and consuming REST APIs .
Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems .
Experience integrating complex enterprise systems and third-party platforms.Solid understanding of both SQL and NoSQL databases .
Production experience with at least one major cloud platform:AWSAzureGCPExperience working with Docker and Kubernetes .
Strong understanding of Git-based development workflows and CI/CD practices .
Experience designing reliable, scalable, and production-ready distributed systems.Strong debugging skills across APIs, infrastructure, networking,



application services, and data pipelines.Experience working directly with customers, stakeholders, or technical partners.Ability to translate complex customer requirements into pragmatic technical solutions.Strong communication skills and the ability to operate effectively in customer-facing technical conversations.High degree of autonomy and ownership when solving ambiguous technical problems.Highly Relevant ExperienceExperience with any of the following will be especially valuable:Identity and Access Management (IAM )Identity Providers (IdPs )Identity SecurityCybersecurity platformsSIEM systemsSecurity telemetryNetwork securityEndpoint securitySASE / Zero Trust environmentsCloud securityLarge-scale event processingStreaming architecturesIntegration ExperiencePrevious experience integrating APIs or data from platforms such as the following is highly valuable:AWSMicrosoft AzureGoogle CloudMicrosoft Entra ID / Active DirectoryOktaGoogle WorkspaceDuoCrowdStrikeZscalerPalo AltoMicrosoft DefenderSIEM and security analytics platformsDirect experience with every platform is not required.
What matters is a strong track record of learning complex APIs and transforming heterogeneous enterprise data sources into reliable integrations.Nice to HaveExperience with large-scale data processing or streaming platforms.Experience designing reusable connector SDKs or integration frameworks .
Understanding of identity-related security concepts such as authentication, authorization, credentials, service accounts, privileged access, and non-human identities.Experience with security events, audit logs, network telemetry, or cloud activity data.Familiarity with event-driven and distributed system architectures.Experience deploying AI/ML-enabled applications.Exposure to LLMs, AI agents, or AI-powered security applications .
Solution Architecture or Forward Deployed Engineering experience.
Previous experience in cybersecurityreal budgets.
We test aggressively.
We learn quickly.
We build frameworks that scale.You get trust on day one.
You get a lot of autonomy.
Some people thrive with it.
You will get feedback fast either way, and if you make it through the first 30 days you will probably be here for a long time.
Our retention on this team is very good and that is not an accident.You will grow into senior strategy.
We want people who want more responsibility.
If you perform, you will grow.
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