Senior Conversion Tracking & API Engineer

TNT Growth•Miami, FL

10d•$40,000 - $80,000•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 deep 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, working directly with internal teams and client engineering teams.

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.
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 flagging implementation gaps, risks, and unverified assumptions before a campaign goes live.
Writing implementation and QA summaries understandable to non-engineers.
Responding to questions in Slack within a reasonable window during working hours.
Asking clarifying questions to avoid building the wrong thing.
Designing, building, and maintaining 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.
Owning signal design, event taxonomy, account and action routing, timestamps, value and currency, attribution windows, and accuracy from landing page to ad platform.
Building and maintaining integrations among client sites and forms, CRMs (HubSpot, Salesforce, Zoho), call-tracking and scheduling tools, TNT infrastructure, and ad-platform APIs using webhooks, change data capture, OAuth, and queues.
Implementing and debugging GTM, server-side GTM, Google tag and GA4, platform pixels, dataLayer events, first-party session IDs and cookies, URL propagation, and form injection across various website architectures and tools.
Preserving and validating tracking parameters and consent state through the funnel.
Building platform-correct payloads and matching logic, including normalization, hashing, consent signals, pairing browser and server events, preventing double counting, handling adjustments and redactions, and diagnosing failures.
Creating synthetic tests to follow the real user journey from landing page through CRM and queue to the ad-platform UI.
Reconciling data across source, database, CRM, internal reporting, and platform counts.
Monitoring match quality, attribution lag, and delivery failures.
Producing evidence, alerts, runbooks, and incident updates.
Verifying fixes after launch.
Writing clean, well-tested TypeScript across the stack.
Owning engineering quality through automated tests, code review, documentation, and maintainability.
Designing and operating PostgreSQL schemas for attribution sessions, identities, conversion events, attempts, and delivery status.
Writing diagnostic SQL, optimizing queries and indexes, planning retention, and tracing data from ingestion through reporting.
Using AI systems (Claude, ChatGPT, Copilot, etc.) as force multipliers for debugging, code generation, documentation, and pattern recognition, while validating output.
Communicating clearly and proactively with Growth Managers, Client Success, client engineers, and platform support.
Translating technical information into updates non-engineers can act on.
Owning incidents through verification and follow-up.
Creating reusable standards, runbooks, and guidance.
Owning work in Git, including branching strategy, commit history, PRs, and collaborative review.