Responsibilities

• Strong Communication
• Proactively flagging implementation gaps, risks, and unverified assumptions before a campaign goes live — and separating confirmed root cause from a working hypothesis
• Writing implementation and QA summaries that a Growth Manager without an engineering background can read, understand, and act on
• Responding to questions in Slack within a reasonable window during working hours
• Asking a clarifying question rather than building the wrong thing for two days
• Conversion Tracking Architecture & Identity Design, build, and maintain client-side and server-side conversion tracking across Meta Pixel/CAPI, Google Ads API and Data Manager API, Enhanced Conversions and offline uploads, TikTok Events API, and other major platforms. Own signal design, event taxonomy, account and action routing, timestamps, value and currency, attribution windows, and accuracy from landing page to ad platform.
• CRM Integration & Event Pipeline Management Build and maintain integrations among client sites and forms, CRMs such as HubSpot, Salesforce, or Zoho, call-tracking and scheduling tools, TNT infrastructure, and ad-platform APIs. Use webhooks, change data capture, OAuth, and queues to deliver events with validation, idempotency, retries and backoff, dead-letter handling, replay and backfill, and a complete audit trail.
• Browser, Identity & Cross-Domain Instrumentation Implement and debug GTM, server-side GTM, Google tag and GA4, platform pixels, deterministic dataLayer events, first-party session IDs and cookies, URL propagation, and form injection across redirects, subdomains, SPAs, embedded forms, and booking tools. Preserve and validate GCLID, GBRAID, WBRAID, FBCLID, FBP, FBC, TTCLID, MSCLKID, UTMs, and consent state through the funnel.
• Ad-Platform API & Payload Engineering Build platform-correct payloads and matching logic: normalize and hash permitted identifiers exactly once, send consent signals, pair browser and server events with stable event or order IDs, prevent double counting, handle adjustments and redactions, diagnose partial acceptance and attribution-window failures, and improve match quality using platform diagnostics.
• End-to-End QA, Reconciliation & Production Operations Create synthetic tests that follow the real user journey from landing page through CRM and queue to the ad-platform UI. Reconcile source, database, CRM, internal reporting, and platform counts; monitor match quality, attribution lag, and delivery failures; produce evidence, alerts, runbooks, and incident updates; and verify fixes after launch.

Requirements

• Senior-level, hands-on production experience with complex conversion tracking across Meta Pixel/CAPI and Google Ads API or Data Manager API, including Enhanced Conversions and offline conversions; additional TikTok, LinkedIn, Microsoft Ads, or Reddit CAPI experience is strongly preferred
• Hands-on browser and server-side instrumentation with GTM, server-side GTM or equivalent, Google tag and GA4, deterministic dataLayer events, SPAs, redirects, cross-domain and subdomain flows, embedded forms, and booking tools
• Expertise in attribution identity and matchback: GCLID, GBRAID, WBRAID, FBCLID, FBP, FBC, TTCLID, MSCLKID, first-party session IDs, cookies or URL propagation, consent state, and CRM persistence
• Deep knowledge of ad-platform payload semantics, including event names, action source, account and action IDs, value and currency, timestamps and time zones, stable event or order IDs, browser and server deduplication, attribution windows, conversion adjustments or redactions, and partial-acceptance diagnostics
• Experience mapping CRM objects and lifecycle stages and integrating systems such as HubSpot, Salesforce, Zoho, Attio, GoHighLevel, Typeform, or call-tracking platforms through webhooks, change data capture, and APIs
• Demonstrated ability to prove delivery end to end with synthetic tests, platform diagnostics, source, CRM, database, internal-reporting, and ad-platform reconciliation, match-quality monitoring, alerting, incident response, and written QA evidence
• Experience implementing consent-aware tracking and privacy controls under GDPR, CCPA, and ad-platform policies, including permitted PII collection, normalization and hashing exactly once, data minimization, and sensitive-category restrictions
• Strong understanding of API client design, REST and webhook integrations, OAuth and secrets handling, change data capture, rate limits, partial failures, and inter-service communication patterns
• Direct production experience with message queues (RabbitMQ, BullMQ, SQS, or similar), including idempotency, deduplication, retries and backoff, dead-letter handling, replay, and high-volume backfills
• Proficient in TypeScript — clean, typed, testable, and maintainable across API clients, services, and asynchronous workers

Preferred

• additional TikTok, LinkedIn, Microsoft Ads, or Reddit CAPI experience is strongly preferred
• Experience mapping CRM objects and lifecycle stages and integrating systems such as HubSpot, Salesforce, Zoho, Attio, GoHighLevel, Typeform, or call-tracking platforms through webhooks, change data capture, and APIs