Senior/Staff Software Engineer (AI-Native/Claude Code/Codex) · LATAM
Location: Anywhere in LATAM
Job Type: 100% Remote
Engagement: Full-time Contractor
Payment: USD
Project: AI-Native LegalTech / M&A; SaaS Platform
Seniority: Senior / Staff
English Level: B2 / C1
Get to Know Darwoft
At Darwoft, we build digital products with heart.
We're a Latin American technology company focused on creating impactful, human-centered software in partnership with companies around the globe.
Our remote-first culture is built on trust, continuous learning, collaboration, and strong engineering standards.
We work with international teams solving complex product and technology challenges where our engineers can have a direct impact on the product.
If you're looking for a place where your technical judgment matters and where you can contribute beyond simply executing tickets, welcome to Darwoft.
About the Opportunity
We're partnering with an innovative software company building a modern transaction platform for organizations managing complex M&A; processes.
The platform brings together document workflows, collaboration, approvals, diligence, transaction management, and AI-powered capabilities within a single SaaS product.
What makes this opportunity particularly different is the way the engineering team builds software.
The product has been developed using an AI-native engineering approach , with tools such as Claude Code, OpenAI Codex, and other AI coding agents deeply integrated into the development workflow.
We're looking for a highly experienced Senior / Staff Software Engineer who can combine strong software 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 practicetion— connect website activity to paid ad platforms (Meta, Google Ads, TikTok, LinkedIn, Snapchat) using both browser pixels and Conversion APIs (CAPI); configure standard and custom events (leads, applications, inquiries) for accurate reporting and platform optimization; configure and maintain event tracking and key events in GA4 from ad click through form submission and CRM entry; partner with Paid Media and Web Services so every campaign and landing page launches with tracking implemented and verified
Own QA, debugging & data integrity— audit and debug broken tags, dropped events, and data discrepancies across client websites; troubleshoot mismatches between ad platforms, GA4, and CRM to root cause; run routine tag health audits across the portfolio; verify events in platform Events Managers and GA4 DebugView before any campaign goes live
Own data privacy compliance— manage cookie consent banners and consent mode configuration across client sites; keep tracking implementations aligned with GDPR, CCPA, and other privacy regulations; monitor platform and browser changes that affect tracking durability and recommend adjustments
Support documentation & cross-team enablement— maintain tagging plans, naming conventions, and QA checklists; translate business requirements from account and client teams into functional tracking solutions; document technical setups so internal teams can interpret and rely on the data
You Bring
3+ years of hands-on tracking or web analytics experience in a marketing or agency environment
Intermediate experience with GTM containers, trigger and variable creation, data layer implementation,



and server-side tagging
Practical experience planning, deploying, and troubleshooting conversion tracking across major ad platforms, with working knowledge of pixel and Conversion API (CAPI) configuration for Meta, Google Ads, TikTok, and LinkedIn
Hands-on GA4 experience, including event configuration, key events, and DebugView
Comfort with HTML, CSS selectors, and basic JavaScript for tag troubleshooting and custom script implementation, and skilled use of GTM Preview mode and browser developer tools (inspect element, network tab)
Understanding of data privacy requirements (GDPR, CCPA) and consent management platforms, and of how tracking decisions affect Paid Media performance KPIs
An analytical, solution-driven mindset with a growth orientation, and strong communication skills that turn technical tracking concepts into clear narratives for non-technical audiences — education marketing experience (traditional or online) is especially valued
Bonus Points
Interest in using AI or LLM tools to streamline tag management audits, automate data layer validation, or troubleshoot complex tracking discrepancies across ad platforms
Familiarity using AI-driven insights to assist server-side tag configuration, optimize conversion modeling in privacy-first environments, or generate technical documentation for tracking setups
An AI-forward mindset — curiosity about emerging AI trends in marketing technology and a willingness to experiment with new tools that could improve tracking efficiency or data analysis
What's Offered
Remote role with the flexibility that comes with a distributed, async-friendly team
Competitive compensation based on experience and location
A pivotal, high-visibility seat on a scaling Data & Analytics team, with real ownership over the tracking infrastructure every campaign and report depends on
The chance to build the measurement backbone for an agency whose partners are education and nonprofit organizations working to build a better world
A culture built around finding a better way, playing as a team of A-players, and treating results as the engine rather than the goal
Direct impact: the tags and tracking decisions you make show up directly in whether partners can trust their own data
Interview Process
Application Review (resume + a few questions)
Screening Call with Atomic HR
Hiring Team Interview (walkthrough of a pipeline or data model you've built)
Technical Assessment (a real-world data engineering case study)
Final Interview with company leadership
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