We’re looking for an App Attribution & Growth Specialist — someone who has spent years in mobile UA and, at some point, got pulled into the messy side of things:
- Tracking that didn’t match
- Attribution that didn’t make sense
- Data pipelines that broke at the worst possible time
And instead of ignoring it… you leaned in.
You’ve debugged installs at 2am, questioned MMP logic, checked raw tables in BigQuery, and probably thought:
“there has to be a better way to do this.”
Now, you’re looking for something different.
Not just running campaigns.
Not just fixing things alone.
👉 You’re looking for a place where:
- You can work on a portfolio of apps, not just one
- You can go deeper into how growth actually works under the hood
- You’re surrounded by people who are just as curious (and stubborn) as you are
People who:
- Care about why data doesn’t match
- Enjoy debating attribution logic
- And won’t look at you weird when you say “I checked the raw postbacks”
This role sits within MarTech, not within the Marketing / Paid UA team.
You’ll work closely with UA — but your focus is measurement, tracking, and infrastructure, not campaign execution.
👉 You won’t just work on growth — you’ll help build the foundations that make it work.
What You’ll Do
- Own and improve app attribution & tracking architecture
- Debug issues across the full funnel:
- Click → Install → Event → Revenue
- Ensure clean and consistent data across:
- MMP (ideally AppsFlyer)
- Ad Networks (Meta, TikTok, Google, ASA, programmatic, etc.)
- Data Warehouse (BigQuery / Databricks)
- Product & analytics layer (e.g. Firebase)
- Design and validate:
- Postbacks (S2S)
- Event mappings
- Attribution logic & windows
- Work on Web2App (W2A) flows:
- Capture parameters on landing pages
- Ensure correct stitching into app attribution
- Configure and maintain deep linking / OneLink setups:
- Parameter passing
- click_id logic
- Deferred deep linking
- Collaborate closely with UA, Product, and Engineering:
- Validate SDK implementations
- Ensure events are triggered correctly
- Raise and propose fixes when something breaks
- Work with subscription & monetization data:
- Integrate platforms like RevenueCat / Adapty
- Handle webhook / S2S data flows into the warehouse
- Support UA Managers by ensuring:
- The data they optimize on is actually reliable
- Campaign signals (events, revenue) are correctly implemented
Requirements
Strong UA Background
- 5+ years of hands-on experience in Paid UA for mobile apps
- Deep knowledge of: Search & App Campaigns
- Google App Campaigns (UAC)
- Apple Ads
- Social
- Programmatic
- AppLovin
- Unity Ads
- Moloco, Liftoff, Mintegral (and friends)
- Alternative / Non-traditional
- Pinterest Ads
- Affiliate campaigns for apps
👉 You understand how these networks actually work — not just how to read their dashboards.
Attribution & Measurement Expertise
- Strong experience with MMPs (ideally AppsFlyer)
- Solid understanding of:
- SKAN & probabilistic attribution
- CTA vs VTA
- Incrementality & attribution trade-offs
⚠️ You know the difference between IDFA and IDFV.
(Yes — we will ask you. No — “more or less” is not enough 😄)
Technical & Debugging Skills
- Comfortable debugging:
- Missing installs or events
- Broken postbacks
- Data inconsistencies
- Able to:
- Validate data in BigQuery or similar
- Trace attribution issues across systems
- Understand how identifiers flow through the stack
You don’t stop at dashboards — you go deeper.
SQL & Data Skills (Must-have)
- Solid SQL skills (BigQuery / Databricks or similar)
This is not a “nice to have”.
We expect you to be comfortable querying data, validating tracking, and debugging issues directly at source.
It’s 2026 — say hi to AI-assisted workflows like Gemini, or connecting via MCP / CLI with tools like Cursor or Claude Code.
👉 You don’t need to memorize everything — but you should know how to get answers fast and validate them properly.
Data & Cloud
- Experience with Google Cloud Platform:
- BigQuery
- Cloud Functions
- Firestore / Cloud Storage
- Comfortable working with separate datasets (App & Web2App) and understanding how they connect
- Experience with other environments (e.g. Databricks) is a strong plus
Payments, Subscriptions & Flows
- You clearly understand the difference between:
- A2A (App → App)
- W2A (Web → App)
- A2W (App → Web)
- W2W (Web → Web)
👉 And more importantly:
- You know where the payment actually happens in each flow
- You understand the role of different players in the ecosystem:
- RevenueCat / Adapty
- Stripe
- Superwall (or similar paywall tools)
- You can map:
- How user identifiers move across platforms
- How attribution is impacted depending on the flow
- Where things typically break (and why)
- After digging into documentation, tools like Perplexity AI, ChatGPT, Claude, or wherever needed…
👉 You’re able to:
- Define a clear end-to-end logic of how the flow should work
- Translate that into:
- what needs to happen
- in what order
- where each event / identifier should be generated and sent
- And communicate it clearly to Tech / Product so it actually gets implemented correctly
- Experience with subscription platforms like:
- Experience working with paywalls and experimentation:
- Tools like Superwall
- Or product-side tools like Firebase Remote Config
- Understanding of:
- How experiments impact tracking & attribution
- How to ensure consistency between paywalls, subscription events, and attribution signals
Product Analytics
- Experience with tools like Amplitude
- Understanding of event tracking & data quality
Fluent English
Clear communication with UA, MarTech, and Data teams is essential.
We’re not expecting you to fully understand Peaky Blinders without subtitles — but you should feel comfortable communicating in your day-to-day work.
Big Plus
- Experience with payment systems like Stripe (webhooks, backend flows)
- Comfortable navigating codebases and understanding how tracking is implemented
- Experience with Xcode or Android Studio
- You’ve built or shipped your own apps (side projects count)
- Experience using tools like Cursor or Claude Code
- You’ll likely use them almost daily (for your own good 😄)
- ASO & organic uplift knowledge
- Exposure to CTV
You’ll Probably Enjoy This Role If…
- You know why MMP events don’t always work well for tROAS campaigns in Google Ads
- You’ve dealt with the quirks of UAC campaigns on iOS
- Acronyms like AEM, ADC, ICM, ODM don’t scare you
- You’re not afraid of reading long SDK documentation to understand how things actually work
- You’re comfortable talking to developers and saying: “We need to change how this event is triggered or passed”
- You’ve had moments where:
- Data didn’t match → and you investigated
- Attribution looked off → and you challenged it
- Something felt wrong → and you proved it
Mindset: What Makes You a Great Fit
- You’re a doer
- If you don’t know something → you figure it out:
- Tutorials
- Forums
- Deep dives
- Tools like Perplexity AI
- You:
- Don’t trust data blindly
- Enjoy debugging
- Like understanding how things actually work
- You’re comfortable:
- Exploring repos
- Understanding SDK implementations
- Proposing (or even making) small fixes when needed
👉 You don’t just find problems — you fix them.
Our Values in Action
- Level up → Share better ways to track & measure
- See it, fix it → Broken tracking ≠ someone else’s problem
- Always ahead → SKAN,