Ad Signals Engineer

5 days ago

Rajkot, 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 intobid-ready, calibrated pLTV signals , and reliably activates those signals acrossMeta (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 interface Partner with ML to operationalizeuser-level pLTVfeatures (RFM, product mix, acquisition metadata) withpoint-in-time joins . ProductionizeVertex AItraining & batch/online scoring (Pipelines, Feature Store, Model Registry). Owncalibration(decile calibration tables, winsorization, shrinkage) for stable platform learning.Server-side activation Build stateless “ signal translators ” onCloud Runfor Meta CAPI, Google OCI/EC +Conversion Value Adjustments , and AmazonAMC Inputs/Audiences . Ensurededupe(event_id parity),rate-limiting ,idempotency , andretry/Replaymechanics with DLQs. Maintain secrets/keys, rotate tokens, and validate payloads (test modes, acceptance checks).Observability, reliability, and safety ShipSLOs & alerts : data freshness, EMQ/match rates, adjustment acceptance rates, API error spikes, queue lag, drift. Operatekill-switchesand fallbacks: immediate revenue mode, decile throttling, shadow testing. Write runbooks for common incidents (schema drift, API 4xx/5xx, value restatement rejections).Experimentation & performance Design A/A and A/Bs (holdouts, geo-lift, incrementality) to validate pLTV value vs baseline. Iterate onsend 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), dedupeGoogle : Import latency,Conversion Adjustment acceptance ≥98% , tROAS lift vs. baseline. Amazon : AMC audience match rate & size (≥2,000 active), DSP performance vs. all-site. Data/ML : Pipeline freshness SLOs, coverage of hashed IDs, drift/PSI guardrails, on-time retrains. Reliability :Core Qualifications:7-10+ years building productiondata+ML activationsystems (preferably in adtech/martech). Proficiency with Meta CAPI, Google Ads offline conversions & Enhanced Conversions, Conversion Value Adjustments, hashed identity formatting, and dedupe mechanics. ExpertSQL(BigQuery) andPython(ETL, API clients, data validation). Hands-onGCP : BigQuery, Pub/Sub, Dataflow, Cloud Run/Functions, Vertex AI (Pipelines, Feature Store, Endpoints). Strong grasp of identity graphs, point-in-time feature building, and leakage prevention. Production observability: Cloud Logging/Monitoring, alerting, SLOs; comfort with queues & DLQs. Security & privacy hygiene: KMS/Secret Manager, VPC-SC, PII handling, RTBF.Compensation :Competitive base +performance bonus tied to platform KPIs(acceptance/EMQ/lift). Senior/Staff/Principal leveling available.

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