MarTech Full Stack Developer, Leadtech

• Strong backend experience with Node.js, Typescript and Python
• Experience with APIs, REST, webhooks, and server-to-server integrations
• Solid understanding of tracking, attribution, or event-based systems
• Experience building or maintaining data pipelines
• Ability to work with SQL / NoSQL databases
• Experience with cloud environments and serverless architectures
• Strong ownership mindset — you improve systems, not just complete tasks
• Strong communication skills in English (written and spoken). Spanish is nice to have
• Experience with the Google Cloud Platform ecosystem, especially:
• BigQuery (data warehousing & analysis)
• Cloud Functions / serverless workloads
• Pub/Sub (event-driven systems)
• Cloud Scheduler (orchestration / jobs)
• Datastore / Firestore (operational data & lightweight storage)
• Experience defining and maintaining tracking schemas / event governance
• Experience building or maintaining internal tools, CRMs, or operational dashboards
• Comfort working across technical and non-technical stakeholders
• You like solving messy, real-world problems
• You enjoy making systems reliable and understandable
• You’re comfortable between engineering, data, and business

Desirable

• We’re looking for a MarTech Full-Stack Developer to join our Marketing Technology & AdTech team
• This is not the kind of “full-stack” role where you’ll spend your life centering buttons or debating border-radius values for three sprints
• You’ll be working at the intersection of engineering, attribution, internal tooling, and growth — building the systems that make campaign measurement reliable, data flows usable, and marketing teams less dependent on guesswork
• You’ll help us maintain and evolve the technical backbone behind tracking, postbacks, schemas, integrations, and internal tools
• That includes working on our internal CRM/tooling, improving how marketing teams operate, and making sure data moves where it should, when it should, and in the format it should
• You’ll collaborate closely with performance marketers, product owners, developers, and data stakeholders, acting as a bridge between business needs and technical implementation
• And just so we’re clear: we don’t really care what you studied or where
• Computer Science, Physics, Philosophy, self-taught, bootcamp, or “learned by breaking production and fixing it later” — all valid
• We care about what you can do, how you think, and how you take ownership
• Also: if you use AI to move faster, think better, document clearer, or automate boring work — great. That’s a plus
• Attribution & Tracking Infrastructure
• Build and maintain attribution and tracking systems across web and app environments
• Work with tools like GA4, Appsflyer, Adjust, and server-side/custom setups
• Handle event deduplication, postback routing, conversion events, and parameter consistency
• Define, maintain, and enforce tracking schemas across projects
• Ensure tracking is not just implemented, but actually reliable and usable
• Internal Tooling & CRM
• Develop and extend features within our internal CRM and marketing tooling
• Build internal UIs and workflows that help marketing teams operate more autonomously
• Improve existing tools instead of rebuilding everything from scratch
• Work on real, messy operational problems — not just clean abstractions
• Data Flow & Warehousing
• Pipeline campaign and attribution data into warehouses such as BigQuery
• Ensure data quality, consistency, and availability for analysis
• Align platform data, internal systems, and warehouse outputs (ideally without creating multiple conflicting truths)
• Collaborate with Data and Product on schema design and governance
• Network Signaling & Integrations
• Build and manage server-to-server integrations with ad networks
• Develop APIs and middleware for event ingestion and delivery
• Work with platforms like Meta, Google Ads, TikTok, Snapchat, etc
• Support integrations related to monetization and subscriptions (e.g. RevenueCat)
• Monitoring, QA & Debugging
• Automate testing and monitoring of attribution and tracking flows
• Investigate discrepancies between internal data, warehouses, and ad platforms
• Catch issues before they become “performance dropped… or maybe tracking broke.”
• Bring visibility and structure to systems that are usually invisible until they fail
• Cross-functional Collaboration
• Act as a bridge between Marketing, Product, and Engineering
• Work with POs, developers, and marketers to define tracking and data structures
• Translate business needs into technical implementations (and push back when needed)
• Maintain and evolve schemas across teams and projects