Mobile UA Operations Specialist

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About Us
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

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About The Role
We're looking for a UA Ops Specialist (Apps) — a Paid User Acquisition expert who has spent years running mobile campaigns and now wants to bring that experience to the technical and operational side of growth. You won't be optimizing bids or pushing budgets daily — our UA Managers do that. Instead, you'll be their partner‑in‑crime and the MarTech ambassador in the kingdom of App UA: someone who knows campaigns inside out, understands attribution headaches, and ensures every event, postback, and parameter is in place so performance is measured right. And just so we're clear: we love it if you've studied Marketing at Yale, Digital Business in Hong Kong, or anything else entirely — that's awesome. But what we value much more is your hands‑on experience, the skills you've built, and above all your attitude. You will work side by side with our Web UA Ops Specialist and our Web MarTech Specialist — together forming a cross‑functional unit that keeps UA stitched together across Web, App, and everything in between. This role is ideal for someone with 5+ years of hands‑on experience running App UA campaigns who now wants to focus on ops, measurement, and future‑proof attribution. Requirements Must‑have
- 5+ years of proven, recent hands‑on experience running Paid UA campaigns for mobile apps. If you still call Apple Search Ads ASA, or remember when UAC was new in Google Ads — that's a good sign you've been around long enough to have scars.
- Proven expertise across the main Paid UA channels for apps:
- Search (UAC + ASA): Solid experience with Google App Campaigns (UAC) — you know how they really work. You can talk with your AM

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ing negative keywords to avoid cannibalizing Search (especially in Web2App flows). You've debated the value of optimizing to tROAS, and if you've run campaigns optimized to pLTV and connected them via Measurement Protocol, that's next‑level. You also know Apple Search Ads deeply, and have clear views on whether Brand campaigns really add incremental ROAS.
- Social (Meta + TikTok): Strong experience with Meta Ads and TikTok Ads, well beyond the basics. You can debate AEM vs. SKAN for Meta, and you know how TikTok's ADC campaigns impact MMP reporting. You're also confident working with datasets — you can identify when events are coming from the SDK vs. via CAPI. Because let’s be honest — CAPI is your best friend, right?
- Programmatic: Broad experience with AppLovin, Unity Ads, Moloco, Mintegral, Liftoff, etc. You probably also have your own "secret DSP testing list." You know that fraud prevention (Protect360 or similar) is non‑negotiable, and we’ll definitely ask your opinion on click‑spoofing during the interview.
- AdNetworks “non‑traditional”: If you've tested campaigns on X Ads, Reddit Ads, or other alternative networks — even better. We won’t say we’re running them now… but maybe we’re exploring.
- You understand the subscription app business. Trials, renewals, cancellations, win‑backs… you’ve seen how they play out in practice. And you don't stop at CPI or CPA — you're fluent in cohorted ROAS, predictive ROAS, LTV, predictive LTV, churn impact, and (most importantly) how UA choices ripple through the business.
- You've lived inside MMPs. If it's Appsflyer, even better. You've pulled raw data, built reports, and you've probably argued about SSOT dashboards vs. traditional attribution. You also have strong opinions on CTA vs. VTA windows and probabilistic attribution (modeled conversions). Fan or hater? We'll ask you in the interview.
- You know how to make Firebase useful. Not just as an analytics tool, but as a connector to Google Ads — so in‑app events can actually fuel campaign optimization when it makes sense. You also know how to squeeze value out of Firebase Analytics data streams in GA4, making sure events are tracked properly and usable for UA strategy.
- You're curious about CTV. You know it's becoming part of the UA mix, and you understand the difference between running it purely for awareness vs. tying it back to measurable post‑install events. Most importantly, you're interested in how it can fit into a subscription‑driven growth strategy.
- Fluent English (written &