Own the marketing data infrastructure and attribution stack, turning tracking accuracy, identity resolution, and cross‑platform signals into actionable ROI insights for campaigns and product teams.

Own multi-touch attribution and data pipelines across ad platforms to connect spend with business metrics.
Lead server-side tagging, CAPI, data quality, and audience segmentation to enable reliable insights.
Collaborate with data and web teams to ensure privacy compliance and clean identity resolution across sources.

Job Description

Collaborate with the marketing teams to develop and execute marketing technology strategies aligned with business objectives.
Architect, implement, and maintain multi-touch attribution (MTA) models and data pipelines that connect ad platform spend and performance data with internal business metrics.
Manage the end-to-end Marketing systems and processes that unlock the execution of the marketing strategies.
Ensure the integrity of frontend data collection and backend data ingestion to allow marketing and data analytics teams to generate timely and actionable insights.
Collect, analyze, and interpret marketing data to generate timely and actionable insights.
Provide technical recommendations on stack capabilities, tool connections, and API integrations to optimize marketing strategies and tactics.
Utilize data management tools and techniques to segment audiences, track campaign performance, and measure marketing ROI.
Own the implementation of server-side tracking and ad platform Conversions APIs (CAPI) to combat signal loss and ensure accurate downstream attribution.
Collaborate with the broader data analytics team to ensure data integrity, accuracy, and clean identity resolution across disparate data sources.
Identify and evaluate emerging marketing technologies, tools, and trends to enhance marketing effectiveness.

In-depth knowledge and proven experience as a Marketing Technologist, Marketing Operations Manager, Marketing Data Engineer, or a similar role.
Proven track record of building and managing marketing attribution systems.
Expert-level mastery of performance marketing tracking, identity resolution, and user stitching across multi-domain and cross-domain journeys.
In-depth knowledge of advanced Google Tag Manager architectures (including server-side GTM tagging), GA4 property schemas, and client-side data layer design.
In-depth knowledge of marketing automation platforms, CRM systems, email marketing tools, web analytics tools, and content management systems (CMS).
Proficiency in JavaScript/TypeScript, browser storage mechanics (First-party vs. Third-party cookies, LocalStorage, Apple ITP/Privacy Sandbox restrictions).
Strong understanding of Customer Data Platforms (Segment) and how to leverage them for downstream attribution and audience syndication.
Analytical mindset with the ability to interpret complex data and generate actionable insights.
Excellent project management and organizational skills with the ability to manage multiple initiatives simultaneously.
Strong communication and collaboration skills to work effectively with cross-functional teams.

Strong proficiency in SQL and experience working with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) to blend marketing and database data.
Experience working with Ad Platform APIs (Facebook CAPI, Google Ads API, etc.).
Familiarity with Email & Marketing Automation Systems (Iterable).

Traffic Signals

Monthly Visitors

3.3K

Traffic Source Mix

28.5%

Direct

47.2%

Referral

5.9%

Social

16.9%

Paid

1.5%

Headcount Trend

Current headcount: ~1

Marketing Team

Marketing Roles Posted (Last 30 Days)

Collaborate with the marketing teams to develop and execute marketing technology strategies aligned with business objectives.
Architect, implement, and maintain multi-touch attribution (MTA) models and data pipelines that connect ad platform spend and performance data with internal business metrics.
Manage the end-to-end Marketing systems and processes that unlock the execution of the marketing strategies.
Ensure the integrity of frontend data collection and backend data ingestion to allow marketing and data analytics teams to generate timely and actionable insights.
Collect, analyze, and interpret marketing data to generate timely and actionable insights.
Provide technical recommendations on stack capabilities, tool connections, and API integrations to optimize marketing strategies and tactics.
Utilize data management tools and techniques to segment audiences, track campaign performance, and measure marketing ROI.
Own the implementation of server-side tracking and ad platform Conversions APIs (CAPI) to combat signal loss and ensure accurate downstream attribution.
Collaborate with the broader data analytics team to ensure data integrity, accuracy, and clean identity resolution across disparate data sources.
Identify and evaluate emerging marketing technologies, tools, and trends to enhance marketing effectiveness.

In-depth knowledge and proven experience as a Marketing Technologist, Marketing Operations Manager, Marketing Data Engineer, or a similar role.
Proven track record of building and managing marketing attribution systems.
Expert-level mastery of performance marketing tracking, identity resolution, and user stitching across multi-domain and cross-domain journeys.
In-depth knowledge of advanced Google Tag Manager architectures (including server-side GTM tagging), GA4 property schemas, and client-side data layer design.
In-depth knowledge of marketing automation platforms, CRM systems, email marketing tools, web analytics tools, and content management systems (CMS).
Proficiency in JavaScript/TypeScript, browser storage mechanics (First-party vs. Third-party cookies, LocalStorage, Apple ITP/Privacy Sandbox restrictions).
Strong understanding of Customer Data Platforms (Segment) and how to leverage them for downstream attribution and audience syndication.
Analytical mindset with the ability to interpret complex data and generate actionable insights.
Excellent project management and organizational skills with the ability to manage multiple initiatives simultaneously.
Strong communication and collaboration skills to work effectively with cross-functional teams.

Strong proficiency in SQL and experience working with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) to blend marketing and database data.
Experience working with Ad Platform APIs (Facebook CAPI, Google Ads API, etc.).
Familiarity with Email & Marketing Automation Systems (Iterable).