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Senior Manager, Ad Ops - Mattel Digital Studio

Job in El Segundo, Los Angeles County, California, 90245, USA
Listing for: Mattel, Inc.
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

We are hiring our first dedicated Ad Monetization & Operations leader to own in‑app advertising revenue across our publishing portfolio. You’ll be a player‑coach from day one—configuring waterfalls, running experiments, and writing SQL—while building playbooks, tooling, and partner relationships that scale into a team behind you.

What Your Impact Will Be
  • Own ad revenue end‑to‑end. Configure and optimize mediation waterfalls and in‑app bidding across our publishing portfolio. Manage ad units, placements, frequency caps, and pacing across rewarded video, interstitials, banners, and offer walls. Hit ARPDAU, eCPM, fill‑rate, and ad LTV targets you set with the Director of Product.
  • Run the experimentation engine. Design and ship A/B tests on placement, frequency, format, and waterfall configuration. Build a hypothesis‑test‑readout cadence the rest of the studio can rely on. Bring statistical rigor—every claim defended with data.
  • Manage network and mediation partnerships. Own the relationships with App Lovin, Unity, AdMob, iron Source, Meta, Mintegral, Pangle, and others. Negotiate floors, evaluate new networks, manage SDK upgrades and integration cycles, and resolve revenue discrepancies.
  • Build the measurement stack. Partner with Analytics to wire ad revenue into Big Query, Mixpanel, and Singular. Stand up dashboards that the Live Ops PMs and Growth team rely on daily. Own ad LTV measurement and the IAA‑IAP interplay model.
  • Apply AI as a force multiplier. Use modern AI tooling to compress the work—anomaly detection, SQL generation, A/B test summarization, partner correspondence, vendor evaluation. Stay current on AI‑enabled ad‑tech and bring credible recommendations to the table. We’re not asking you to build AI—you’ll use it to do the work of three people.
  • Coordinate with UA and Live Ops. Ad LTV feeds UA bidding; ad placements affect retention and IAP conversion. Operate across these seams with the Sr. Director of Growth and the Live Ops PMs without dropping balls.
  • Partner with Mattel
    163. Our Beijing‑based partner team runs ad ops on Uno, Phase 10, and Skip‑Bo. You’ll establish the working model—share learnings, align on standards, divide‑and‑conquer geographies and titles.
  • Champion player experience. These are family‑friendly games tied to iconic brands. Brand safety, ad quality, age‑appropriate content, and frequency discipline are non‑negotiable. You will say no to revenue that compromises the brand.
  • Build the playbook. Document standards for new title launches, SDK integration checklists, placement design principles, A/B test protocols, network onboarding, incident response. Make it possible to scale this discipline to 3‑5 titles without losing rigor.
What We’re Looking For
  • 5+ years in mobile F2P ad monetization or ad operations, with hands‑on ownership of waterfalls, mediation, and yield optimization. This is not transferable from web ad ops, programmatic display, or ad‑network sales‑side experience.
  • Hands‑on fluency in mediation platforms—App Lovin MAX, iron Source Level Play, AdMob, or equivalent. You can configure a waterfall in your sleep and explain the difference between in‑app bidding and traditional waterfall to a designer.
  • Demonstrable revenue impact. You will be asked for specific examples—a placement test that lifted ARPDAU by X%, a network swap that improved fill in geo Y, a frequency change that traded Z impressions for W retention. Bring numbers.
  • SQL fluency. You can write your own queries against Big Query or equivalent. You don’t wait for an analyst.
  • Experimentation rigor. You understand power calculations, segmentation traps, and the difference between a real lift and a noisy one.
  • Hybrid IAP/IAA experience. You’ve worked on titles where IAP was the primary revenue driver and IAA was the wedge—and you know how rewarded video can lift LTV without cannibalizing IAP.
  • Casual or puzzle genre experience preferred. Match‑3, card, board, or hybrid‑casual specifically. Mid‑core or hyper‑casual experience is a complement, not a substitute.
  • Working knowledge of post‑ATT measurement—SKAdNetwork, conversion value mapping, and how ad LTV gets attributed in a privacy‑constrained world.
  • AI‑augmented…
Position Requirements
10+ Years work experience
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