MarTech Full Stack Developer

Leadtech Marketing Technology Full-Stack Developer

At Leadtech, we've been redefining digital businesses since 2009, creating innovative online solutions that reach millions of users every month. With a diverse team of over 700 members from 23+ nationalities, we're united by a passion for creativity and collaboration.

We specialize in delivering user-centric experiences across web and mobile platforms, where people can connect with our products like never before.

We're proud of our global reach and committed to fostering an inclusive workplace where every individual contributes to our shared vision of bringing cutting-edge projects to life. Learn more about our journey and mission on our page!

About the Role

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.