Ad Signals Engineer

3 days ago

Ahmedabad, India AdZeta Full time

AdZeta is an end-to-end data‑intelligence & activation platform that helps advertisers acquire high-value customers using the power of predictive LTV modeling.Location: Remote (North America time zones)Team: Ad Signals, Data & Activation (pLTV)Type: Full-time (open to Senior, Staff, or Principal leveling)The Mission:The right candidate will own the end-to-end pipeline that converts predictions into bid-ready, calibrated pLTV signals, and reliably activates those signals across Meta (CAPI), Google (OCI/Enhanced Conversions + Value Adjustments) and Amazon (AMC→DSP). You’ll build resilient GCP pipelines, shape/monitor predictions, and ship server-side conversions that move ROAS, not just dashboards.Roles & ResponsibilitiesFeature & modeling interfacePartner with ML to operationalize user-level pLTV features (RFM, product mix, acquisition metadata) with point-in-time joins.Productionize Vertex AI training & batch/online scoring (Pipelines, Feature Store, Model Registry).Own calibration (decile calibration tables, winsorization, shrinkage) for stable platform learning.Server-side activationBuild stateless “signal translators” on Cloud Run for Meta CAPI, Google OCI/EC + Conversion Value Adjustments, and Amazon AMC Inputs/Audiences.Ensure dedupe (event_id parity), rate-limiting, idempotency, and retry/Replay mechanics with DLQs.Maintain secrets/keys, rotate tokens, and validate payloads (test modes, acceptance checks).Observability, reliability, and safetyShip SLOs & alerts: data freshness, EMQ/match rates, adjustment acceptance rates, API error spikes, queue lag, drift.Operate kill-switches and fallbacks: immediate revenue mode, decile throttling, shadow testing.Write runbooks for common incidents (schema drift, API 4xx/5xx, value restatement rejections).Experimentation & performanceDesign A/A and A/Bs (holdouts, geo-lift, incrementality) to validate pLTV value vs baseline.Iterate on send timing (D0 vs D1–D7), horizon (H=90/180/365), and value shaping; quantify impact on tROAS/CAC.What You'll Own (KPIs)Meta: Event Match Quality (EMQ), dedupe

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