At Prometeo Talent , we connect top-tier tech and engineering professionals with companies that are shaping the future.
With a strong presence across America and Europe , we're proud to be one of the highest-rated recruitment agencies in the market.
We're currently partnering with a fast-growing US-based cybersecurity startup .
The company is building innovative security solutions that help organizations strengthen their cybersecurity posture through intelligent, scalable, and modern technology.
As an early-stage startup, you'll have the opportunity to work on complex technical challenges, contribute to product evolution, and make a direct impact on the growth and success of the platform.
About us
At Prometeo Talent , we connect top-tier tech and engineering professionals with companies that are shaping the future.
With a strong presence across America and Europe , we're proud to be one of the highest-rated recruitment agencies in the market.
We're currently partnering with a fast-growing US-based cybersecurity startup .
The company is building innovative security solutions that help organizations strengthen their cybersecurity posture through intelligent, scalable, and modern technology.
As an early-stage startup, you'll have the opportunity to work on complex technical challenges, contribute to product evolution, and make a direct impact on the growth and success of the platform.
The Opportunity
We are looking for a Senior Backend Engineer who thrives in startup environments and enjoys building scalable systems from the ground up.
This role is ideal for engineers who combine deep backend expertise with a strong ownership mindset .
You will play a key role in designing , building , and maintaining distributed systems while collaborating with a highly technical and fast-moving team.
The idóneo candidate has extensive experience with Java and Python , enjoys solving complex engineering problems, and embraces AI-assisted development workflows to increase productivity without compromising quality.
Responsibilities
Design, build, and maintain scalable backend services using Java and Python.
Develop distributed systems involving databases, APIs, message queues, and data processing pipelines.
Take full ownership of features and services throughout their lifecycle, from design and implementation to monitoring and optimization.
Build production-ready systems with a strong focus on reliability, performance, and maintainability.
Collaborate closely with product and engineering teaho 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 on output.
If you want a lane, a ticket queue, and a scope document, this is a bad fit and we will both know it fast.
If you want to own the whole picture and be judged on whether the number moved, keep reading.
Requirements
What the job looks like
Own a set of DTC accounts as the strategist, the buyer, and the client's direct point of contact.
Budgets run from $5k/mo to well into six figures a month.
Own the client relationship.
There is no account manager between you and them.
You present the results, the plan, and the reasoning, and you are the one who answers when something is not working.
Audit before you touch anything.
Every account we take over gets a real review first: campaign and ad group structure, keywords versus search terms, negatives, bidding strategy per campaign type, impression share, feed health, landing pages, audiences, and conversion tracking.
Then a Loom walking the client through what you found.
That Loom is how we sell and it is how we keep people.
Run brand and non brand as different businesses.
Brand is mostly assisted conversion and it usually belongs on target impression share, not target CPA.
Non brand is where the growth is and where the waste is.
Report them separately or you are reporting nothing.
Know what PMax is actually doing.
The most common mistake we see is optimizing PMax against an incremental CAC when half the volume inside it is branded.
If you cannot separate those two, you cannot set a target.
Keep Google's automation on a leash.
Auto applied recommendations, auto applied assets, and auto created sitelinks have cost our clients real money.
We audit for them on a schedule.
Own the feed.
Merchant Center hygiene, product titles, disapprovals, promotions, and what the feed does to Shopping and PMax delivery.
Own the tracking.
GA4, GTM, Shopify goal imports versus a raw Google Ads tag, enhanced conversions, offline conversion imports for the lead gen accounts.
When the numbers do not reconcile, you are the one who finds out why.
Diagnose the bottleneck, then go fix it.
Creative, offer, AOV, landing page, checkout, tracking.
Nobody is going to reassign it to another team.
Build the things the account needs.
Landing pages, scripts, reporting, whatever removes the constraint.
We are heavy AI users and we expect you to buare, navigating a large existing codebase, making architectural decisions, improving reliability, and using AI coding agents to dramatically increase development velocity.
The ideal 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 Lead, Founding Engineer, or similar high-ownership role .
Experience building AI-powered SaaS products.
Experience integrating LLMs or AI APIs into production applications.
Experience with document-heavy or workflow-intensive platforms.
Experience designing authorization systems, permissions, RBAC, and auditability.
Experience with LegalTech, FinTech, transaction platforms, Private Equity, or other complex B2B SaaS products.
Experience improving engineering productivity through developer tooling and automation.
What Success Looks Like
Success in this role goes beyond writing more code.
You'll help the team ship significantly faster while simultaneously strengthening the architecture, reliability, maintainability, and technical maturity of the platform .
The goal is to combine strong engineering judgment with AI-native development practices to dramatically increase what a small engineering team can build.
What Darwoft Offers
Contractor agreement with payment in USD
100% remote work
Argentina's public holidays
English classes
Referral program
Access to learning platforms
Explore this and other opportunities at:
#J-*****-Ljbffr

📌 Senior Ai Product & Systems Manager | Fully Remote (Buenos Aires)
🏢 World-Business-Lenders,-LL
📍 Buenos Aires