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 adecuado 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 ideal 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 teams to translate business requirements into technical solutions.
Improve system performance, scalability, and operational efficiency across the platform.
Leverage AI-assisted development tools to accelerate delivery while ensuring code quality and engineering best practices.
Participate in architectural discussions and contribute to key technical decisions as the company scales.
Continuously improve development processes, tooling, and engineering standards.
Requirements
8+ years of experience in software engineering or backend developmg performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors.
Since launching in ****, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth.
Your Role
The Senior Web Analyst sits at the center of the agency's Data and Analytics function, connecting every paid media platform and CRM the agency touches into a single, reliable source of truth.
You'll own the full path data takes: from a client's ad accounts and CRM, through Adverity, into a BigQuery warehouse, through modular dbt/Dataform transformations, and out to the Looker Studio dashboards and automated Google Sheets reports the team and its partners rely on daily.
Reporting to the Data and Analytics Manager, you're joining at a pivotal moment — the agency is scaling its roster of education and nonprofit partners,



and this role is instrumental in evolving the automated reporting suite that makes that growth possible without sacrificing data quality or client trust.
You'll
Own data ingestion & pipeline architecture — connect and maintain API pipelines from paid media platforms (Meta, Google Ads, LinkedIn, TikTok, programmatic) into Adverity, build custom Python connectors for anything not natively supported, and architect scalable pipelines from source system through to dashboard
Own CRM integration — build and maintain reliable CRM data connections (Slate, Salesforce, HubSpot) so lead and enrollment data flows cleanly into the warehouse
Own the data warehouse — route, optimize, and store raw and processed data in Google BigQuery; design efficient schemas for complex, multi-source marketing data (granularity, normalization, slowly changing dimensions); manage partitioning, clustering, and storage strategy to control query cost and performance
Own transformation & mapping — build SQL schemas that map, blend, and organize multi-channel data accurately for each client, in modular, version-controlled, documented dbt or Dataform pipelines, with standardized naming conventions and metric definitions across platforms and clients
Own CI/CD & data segregation — maintain CI/CD pipelines (GitHub Actions, automated testing) for robust, version-controlled releases, and enforce strict data segregation across multi-client environments
Enable the reporting layer — create clean, performant data views built specifically for fast Looker Studio dashboards and automated Google Sheets reports, and partner with the Data and Analytics Manager and client teams to translate reporting requirements into warehouse models
Drive data quality — monitor pipeline health, resolve API breaks, minimize latency, implement validation frameworks and automated testing, troubleshoot discrepancies to root cause across source/warehouse/BI layers, and proactively flag data quality risks to leadership
You Bring
5+ years of hands‐on data engineering experience, ideally in a marketing or agency environment
Strong experience configuring datastreams, transformations, and destinations in Adverity or a comparable ETL platform (Fivetran, Supermetrics, Funnel)
Intermediate to advanced SQL, with proven BigQuery experience in transformation, partitioning, and modeling
Expertise in dbt or Dataform, managing modular, version-controlled, documented SQL transformation pipelines
Python proficiency for custom API connections and pipeline automation
Experience with CRM data flows and integrations (Slate, Salesforce, and/or HubSpot)
A deep understanding of marketing metrics (ROAS, CPA, CAC) and paid platform schemas, with a proven track record of structuring data to optimize Looker Studio performance
Proficiency with Git and collaborative development workflows, and proven ability to manage multi-client data environments with strict data segregation
An analytical, solution‐driven mindset with a growth orientation, and strong communication skills that turn complex data workflows into clear narratives for non‐technical aions 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 (Santa Fe)
🏢 World-Business-Lenders,-LL
📍 Santa Fe