Senior Conversion Tracking & API Engineer

TNT Growth•Miami, FL

21h•Remote

About The Position

TNT Growth is seeking a Senior Conversion Tracking & API Engineer to independently manage complex, production-grade tracking systems. This role involves integrating browser, server, CRM, and ad-platform APIs, requiring strong backend and data-integration expertise combined with a practical understanding of paid-media measurement and client-facing communication. The engineer will own the entire tracking process from data capture to ad-platform delivery, diagnostics, reconciliation, and monitoring, ensuring reliable systems and clear communication with both technical and non-technical stakeholders.

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.
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.
Strong PostgreSQL and ORM fundamentals (Prisma, TypeORM, or equivalent), including diagnostic SQL, schema design, query and index optimization, and data retention.
Strong working knowledge of paid-media measurement: funnel and lifecycle event design, primary and secondary conversions, values, attribution windows, match quality, platform learning-volume tradeoffs, and channel differences across Meta, Google, TikTok, and related platforms.
Strong Git skills — branching, PR workflows, code review participation, and version control discipline.
Practical fluency with AI development tools and the judgment to validate their output; AI expertise is secondary to conversion tracking, API, and backend engineering depth.
Excellent written and verbal communication in English, including client-facing technical discovery, implementation documentation, incident updates, and evidence-based explanations.

Nice To Haves

Additional TikTok, LinkedIn, Microsoft Ads, or Reddit CAPI experience is strongly preferred.

Responsibilities

Proactively identify and communicate implementation gaps, risks, and unverified assumptions before campaign launch.
Write clear implementation and QA summaries for non-technical team members.
Respond to inquiries in Slack promptly during working hours.
Design, build, and maintain client-side and server-side conversion tracking across platforms like Meta Pixel/CAPI, Google Ads API, TikTok Events API, and others.
Own signal design, event taxonomy, routing, timestamps, value/currency, attribution windows, and accuracy from landing page to ad platform.
Build and maintain integrations between client sites, CRMs (HubSpot, Salesforce, Zoho), call-tracking tools, TNT infrastructure, and ad-platform APIs using webhooks, change data capture, OAuth, and queues.
Implement and debug GTM, server-side GTM, Google tag, GA4, platform pixels, dataLayer events, first-party IDs, and cookies across various website structures and forms.
Preserve and validate tracking parameters (GCLID, FBCLID, UTMs, etc.) and consent state throughout the user journey.
Build platform-correct payloads and matching logic, normalize identifiers, send consent signals, pair browser and server events, prevent double counting, and diagnose acceptance failures.
Create synthetic tests to validate the entire user journey from landing page to ad platform.
Reconcile data across different sources (source, database, CRM, internal reporting, ad-platform) and monitor key metrics like match quality and attribution lag.
Produce alerts, runbooks, and incident updates, verifying fixes after launch.
Write clean, well-tested TypeScript for API clients, webhook handlers, and event workers.
Own engineering quality through automated tests, code reviews, documentation, and maintainability.
Design and operate PostgreSQL schemas for tracking data, write diagnostic SQL, optimize queries, and plan data retention.
Utilize AI systems (Claude, ChatGPT, Copilot) to enhance debugging, code generation, and documentation, while ensuring tracking correctness, security, and maintainability.
Communicate clearly and proactively with Growth Managers, Client Success, client engineers, and platform support.
Translate technical issues into actionable updates for non-engineers.
Own incidents through verification and follow-up.
Create reusable standards, runbooks, and guidance to improve team capabilities.
Manage work using Git, adhering to strong branching strategies, meaningful commit histories, clean PRs, and collaborative review habits.