Senior Conversion Tracking, API Engineer

Job not on LinkedIn

🔥 27 minutes ago

🇺🇸 United States – Remote

💵 $40k - $80k / year

⏳ Contract/Temporary

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 0%

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TNT Growth

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

📣 Marketing

🏢 Enterprise

🤖 Artificial Intelligence

Marketing • Enterprise • Artificial Intelligence

TNT Growth is a full‑stack growth marketing agency that manages paid acquisition, creative production, landing page and website conversion optimization, retention (email/SMS) and analytics for B2B and enterprise brands. They combine daily campaign management, airtight conversion tracking (TNT Track), CRO and data‑driven creative with proprietary AI tools to align ad platforms, CRM and analytics, driving measurable revenue and scalable ROAS for clients.

📋 Description

• Proactively flag implementation gaps, risks, and unverified assumptions before campaigns go live • Write implementation and QA summaries understandable and actionable to non-engineers • Respond to questions in Slack within a reasonable window during working hours • 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 • Build and maintain integrations among client sites and forms, CRMs, call-tracking and scheduling tools, TNT infrastructure, and ad-platform APIs • Use webhooks, change data capture, OAuth, and queues with validation, idempotency, retries and backoff, dead-letter handling, replay and backfill, and complete audit trails • 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 advertising IDs, UTMs, and consent state through the funnel • Build platform-correct payloads and matching logic, prevent double counting, handle adjustments and redactions, diagnose partial acceptance and attribution-window failures, and improve match quality • Create synthetic tests following 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; verify fixes after launch • Write clean, well-tested TypeScript across the stack, including API clients, webhook handlers, and event workers • Design and operate PostgreSQL schemas; write diagnostic SQL; optimize queries and indexes; plan retention; trace data from ingestion through reporting • Use AI systems for debugging, code generation, documentation, and pattern recognition while validating generated work • Communicate with Growth Managers, Client Success, client engineers, and platform support • Translate root cause, risk, evidence, dependencies, and ETA into actionable updates • Own incidents through verification and follow-up • Create reusable standards, runbooks, and guidance • Own work in Git with strong branching strategy, meaningful commit history, clean PRs, and collaborative review habits

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

🏖️ Benefits

• 12 Paid Holidays • 18 Paid Days Off

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