Mploy - דרושים

דרושים Ad Operations & Campaign Manager בתל אביב

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Ad Operations & Campaign Manager

 

09/10/2025

 תל אביב

 Teza

About LoudEcho

LoudEcho is an AI ad platform/DSP that buys media, autonomously generates creative, and optimizes every impression in real time—sitting on the bidding stream to analyze live context and audience signals.

Our platform supports AI-generated creatives and uses contextual signals, consent frameworks, and privacy-compliant data to select and serve ads.

Safety is by design, with multi-layer brand-safety controls and brand-defined constraints before an ad is shown.

📊 What you’ll spend your time on

Trafficking & QA

  • Build campaigns, line items, budgets, pacing/frequency, geo, inventory, allow/deny lists, brand-safety & suitability controls.
  • Implement/validate pixels and server-side events; uphold UTM and naming conventions; verify measurement tags (IAS/DV etc).
  • Run creative QA for specs, macros, click-throughs, viewability, and contextual suitability checks.

Delivery & Optimization

  • Monitor flight health and pacing daily; troubleshoot under-delivery, supply path issues, and creative rejections.
  • Optimize to KPI via bids, supply, audiences, and context-aware creative tests that adapt in real time.
  • Design lightweight A/B → A/Infinity experiments; log changes and lift.

Reporting & Insights

  • Produce weekly dashboards and mid-/post-flight analyses with clear next steps; reconcile delivery & cost; maintain runbooks.
  • Surface insights on which contexts/tones/messages resonate and feed them back into live decisioning.

👩‍💻 Capabilities

  • 2–5+ years in Ad Ops/Campaign Management at a DSP/agency/ad-tech platform.
  • Hands-on with one or more DSPs (e.g., TTD, DV360, Xandr); familiarity with SSPs, brand-safety/verification, and tag managers.
  • Strong grasp of pixels, S2S tracking, attribution windows, deduplication, and consent signals.
  • Analytical chops (Excel/Sheets; bonus for SQL-lite) and crisp client-facing communication.
  • Detail-first QA mindset and bias to action when diagnosing delivery/performance.
  • A graph experience for inference surge control.

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