Marketing Data Operations

Role Overview

Eklipse is seeking a Marketing Data Operations to bridge the gap between our Marketing strategy and Engineering infrastructure. In this strategic role, you will act as the Architect of our data pipelines. You will be responsible for defining what data needs to be tracked to drive revenue and providing precise technical specifications to our backend engineering team for implementation.

You are not expected to write backend code. Instead, you will own the data strategy, ensuring our ad algorithms are fed with accurate, high-quality data to optimize Return on Ad Spend (ROAS).

Key Responsibilities:

1. Data Strategy & Technical Specification

1. Design Data Pipelines: Translate marketing objectives (e.g., ROAS tracking, User LTV models) into detailed technical Event Specifications.
2. Requirement Definition: clearly define the Triggers (when an event fires), Payloads (data points such as User ID, Plan Tier, or Subscription Status), and Destinations (Meta CAPI, Amplitude, Google Ads) for every tracking event.
3. Server-Side Strategy: Lead the initiative to transition from client-side pixel tracking to robust Server-Side (API-based) tracking to mitigate signal loss.

2. Implementation Management & Quality Assurance

1. Engineering Liaison: Act as the primary counterpart to the Backend Engineering team. You provide the strategic logic and specifications; they execute the code.
2. Data Verification: Serve as the final gatekeeper for data accuracy. Before any tracking code is deployed to production, you must validate the data using tools like Meta Events Manager, Amplitude Debugger, and network inspection tools.
3. Discrepancy Resolution: Proactively identify data discrepancies (e.g., mismatches between Stripe revenue and Ad Manager attribution) and diagnose the root cause using SQL or API log analysis.

3. Platform Governance & Analytics

1. Tag Management: Maintain full ownership of the Google Tag Manager (GTM) container, ensuring all tags and triggers are configured correctly and efficiently.
2. Ad Platform Administration: Manage administrative access and data settings within Meta Business Manager and Google Ads.
3. Performance Analysis: Utilize SQL to query internal databases, conducting deep-dive analysis on user behavior to support the Growth team.

4. Process Optimization

1. Workflow Management: Establish a strict Spec & Ship workflow to replace ad-hoc requests.
2. Weekly Synchronization: Lead weekly sync meetings with the engineering team to review data integrity from the previous sprint and outline upcoming tracking requirements.

Candidate Requirements:

We are looking for a Marketing Technologista professional who possesses a unique blend of marketing acumen and technical data skills.

Minimum Qualifications (Must-Have)

1. Experience: Minimum 4+ years of experience in Marketing Operations, Marketing Technology (MarTech), or Data Analytics.
2. Advanced SQL Skills: Proficiency in writing SQL queries (PostgreSQL/BigQuery) to analyze data independently without relying on data engineers.
3. Attribution Mechanics: Strong understanding of event deduplication logic (Event_ID matching) and how attribution windows impact reporting across different ad platforms.
4. Tracking Persistence: Proven experience in handling UTM and Click ID persistence within Single Page Applications (SPA), specifically navigating the challenges of data loss during pageless transitions.
5. Google Tag Manager Mastery: Advanced capability in configuring GTM tags, triggers, and variables.
6. Technical Understanding: Strong conceptual understanding of APIs, Webhooks, and JSON payloads (Server-Side Events). You must be able to read and write technical specifications for engineers.
7. Language: Professional fluency in English is required to collaborate with our international engineering team.

Preferred Qualifications (Nice-to-Have):

1. Experience with BigQuery and data visualization tools.
2. Previous experience in a Head of Data or Marketing Tech Lead role within a high-growth startup.
3. Familiarity with tracking tools such as Meta CAPI (Conversions API) and Amplitude.
4. Basic reading knowledge of Python or JavaScript (to understand engineering constraints).