Senior Marketing Systems Engineer - AI-Driven Campaigns

The-New-York-Times; New York (NY); On-site; USD 130,000 - 150,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) match

RSU / stock purchase plan

Paid vacation & sick days

Tuition reimbursement

Job summary

The New York Times is seeking a Senior Engineer, Marketing to lead the design and delivery of the campaign lifecycle orchestration system and its integrations. You will work across marketing platforms, from data pipelines to AI-powered flows, ensuring scalable, secure delivery of campaigns and insights.

You’ll partner with Marketing to translate needs into robust technical designs, implement end-to-end solutions, and drive reliability and observability across integrations and data workstreams in

Qualifications

• 5+ yrs software Eng experience with backend or full-stack in distributed systems and APIs.
• Proficiency in Python or TypeScript/Node.js; experience building integrations and data pipelines.
• 5+ yrs experience with REST/GraphQL APIs, OAuth2, webhooks, event-driven patterns.

Responsibilities

• Write high-quality, secure, and well-tested code; contribute to standards and docs for Marketing infra, data models, and tools.
• Build the campaign lifecycle orchestration backbone.
• Create integrations and internal tools connecting project management, collaboration, creative, media, and email/lifecycle platforms.

Skills

Python

TypeScript/Node.js

REST/GraphQL APIs

LLMs / AI integrations

AWS serverless

Data pipelines

Tools

Terraform

Docker

DataDog

BigQuery

Mode

Job description

The New York Times is seeking a Senior Engineer, Marketing to lead the design and delivery of the campaign lifecycle orchestration system and its integrations. You will work across marketing platforms, from data pipelines to AI-powered flows, ensuring scalable, secure delivery of campaigns and insights.

You’ll partner with Marketing to translate needs into robust technical designs, implement end-to-end solutions, and drive reliability and observability across integrations and data workstreams in