Senior Growth Engineer
Headlight
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Advise clients and media buying teams on channel event instrumentation requirements and user attribution, such as Meta’s Conversions API (CAPI), Google Enhanced Conversions, TikTok Events API, and other platform-specific integrations.
- Validate and architect web and app analytics event pipelines in tools such as Google Tag Manager and Mobile Measurement Partners such as AppsFlyer, Adjust, or Branch.
- Design, execute, and analyze matched-market (geo-lift) incrementality tests using tools such as Meta’s GeoLift library and other ML tooling within Jupyter notebooks.
- Contribute to and support Marketing Mix Modeling (MMM) initiatives, including data preparation, model interpretation, and client-facing presentation of results.
- Write data ingest pipelines and API integrations using Python running on the Google Cloud Platform (GCP).
- Create BI dashboards and views using Looker.
- Write data pipelines using SQL in Data Build Tool (dbt) on Google BigQuery.
- Investigate data discrepancies and troubleshoot pipeline and reporting issues across web, app, and advertising platforms.
- Integrate web, app, eCommerce (e.g., Shopify), and CRM (e.g., Salesforce) data with advertising channel audience and conversion APIs (e.g., Facebook CAPI, Google Enhanced Conversions).
- Implement custom BI visualizations using HTML/CSS/JS + Vue.
- Implement OAuth endpoints, web callbacks, and other API integrations supporting data and reporting integrations in Python.
Requirements
- 5+ years of experience in a marketing technology role such as marketing engineering, solutions engineering at a marketing technology company, marketing analytics engineering, or a similar position.
- Deep, hands-on understanding of marketing attribution on both web and app, including direct experience configuring and working with Mobile Measurement Partners (MMPs) such as AppsFlyer, Adjust, Branch, or Kochava.
- Strong understanding of incrementality testing via matched-market / geo-lift experimentation, with hands-on experience designing or executing such tests.
- Exposure to Marketing Mix Modeling (MMM) concepts, tools, or platforms; ability to support data preparation and interpret model outputs.
- A strong understanding of SQL fundamentals and the ability to confidently write analytical queries.
- Experience with Python in either a data engineering, web/API development, or data science setting, along with a demonstrated ability to manage and architect Python-based software projects.
- Experience with version control management, in particular Git.
- A strong working knowledge of web technologies, HTTP cookies, HTML/CSS/JS, browser-to-server communication, and REST APIs.
- Comfortable communicating, presenting findings, soliciting requirements, and receiving feedback directly from clients in a proficient manner.
- Familiarity with the marketing technology ecosystem, including channel conversion APIs, tag management platforms, analytics SDKs, and the broader landscape of tools used for paid social and search measurement.
Benefits
- Competitive salary
- Fully remote work environment
- Generous PTO
- Pays 100% of Health, Vision & Dental Insurance Premiums (50% for dependents)
- 401(k)
- Life Insurance & Dependent Life Insurance
- Free Teladoc membership
- Opportunities to travel
- Flexible work hours
- Working with a team of marketing nerds striving to find the cutting edge of our trade
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLGoogle Tag ManagerMarketing Mix ModelingIncrementality testingData pipelinesAPI integrationsHTMLCSSJavaScript
Soft Skills
CommunicationPresentationClient interactionProblem-solvingCollaboration