C
Iterable Developer
Carnegie Dartlet
23d ago
0DevRemote, USjobspy_indeed
remoteindeed
Job Description
**Location**:
Remote
**Engagement Type:** Freelance / Independent Contractor — Project\-Based
**Estimated Duration:** Approximately 8 weeks
**Start Date:** ASAP upon approval and contract execution
We are seeking an experienced Iterable developer to lead two interconnected workstreams: building a scalable multi\-object catalog architecture within Iterable and integrating Carnegie’s proprietary Customer Data Platform (CDP) to power behavioral targeting and personalization. This engagement focuses on creating a maintainable, extensible personalization framework that Carnegie’s internal marketing team can confidently operate and evolve over time.
**The Opportunity**
We are looking for an experienced Iterable developer to lead two workstreams: building a connected multi\-object catalog architecture inside Iterable, and integrating our proprietary Customer Data Platform (CDP) with Iterable to power behavioral targeting and personalization.
This is a project\-based engagement with a defined scope and deliverables. You will work directly with our marketing technology team with a designated point of contact and an emphasis on clear communication, documentation, and implementation transparency.
The ultimate goal of this engagement is to create a scalable, maintainable personalization and behavioral targeting foundation that Carnegie’s internal marketing team can confidently operate and extend over time.
##### **Current Environment \& Project Context**
Carnegie currently uses Iterable as part of its marketing technology ecosystem and is seeking to improve both catalog architecture and behavioral data activation capabilities.
##### **Current State**
Candidates should assume the following at the start of the engagement:
* Iterable is already implemented and in active use
* Existing catalog structures may require refactoring or complete rebuilds within the current Iterable instance to achieve the multi\-object catalog architecture specified in the workstream.
* A proprietary CDP platform exists and contains behavioral and profile\-level data; existing event tracking and instrumentation may require configuration, completion, or refinement during implementation based on the co\-developed tracking plan.
* Initial business requirements and tracking use cases will be provided during onboarding to serve as the baseline for co\-developing the tracking plan.
* Existing implementation patterns may include technical debt or inconsistencies.
##### **Discovery \& Validation**
The first phase of the engagement will include a brief discovery and validation process to:
* confirm technical assumptions
* review existing catalog structures
* validate available event data and mappings
finalize the recommended CDP* Iterable integration approach
* identify implementation risks or dependencies early
Following discovery, the contractor should provide a brief implementation recommendation summary outlining any proposed architectural adjust
