Senior Engineer, Marketing
The New York Times · New York, NY
About this role
**Senior Engineer, Marketing** **About the Role** As a Senior Engineer, Marketing, you’ll be embedded with the Marketing team, providing technical leadership, consulting, and systems thinking. You’ll assemble orchestration systems, integrations, and AI capabilities that help teams work faster and in more data-driven ways. You’ll lead end-to-end design, implementation, and management of the marketing campaign lifecycle system, integrations, internal tools, and learning/experimentation infrastructure. You’ll report to the Director, Advertising Systems. **Responsibilities** - Write high-quality, secure, and well-tested code; contribute to standards and documentation for Marketing infrastructure, data models, and tools - Build the campaign lifecycle orchestration backbone - Build integrations and internal tools connecting project management, collaboration, creative, media, and email/lifecycle platforms - Advise Marketing partners and translate needs into designs - Integrate AI agents and automations (including LLM-powered flows) into Marketing workflows per company GenAI guidance - Design and operate data pipelines and models to ingest marketing and performance data into a data layer for experimentation and analytics - Deliver abstractions and APIs enabling AI systems and users to create campaign wrap-ups, insights, next-test recommendations, and more - Lead reliability, observability, and incident response for integrations, data pipelines, and automations (monitoring, logging, alerting, auditing, feature flags for pilots, and change management) - Demonstrate support for journalistic independence and commitment to the mission of seeking truth and helping people understand the world **Basic Qualifications** - 5+ years of software engineering experience (backend or full-stack) for distributed systems and APIs - Proficiency in Python or TypeScript/Node.js; experience building integrations, services, data pipelines, and internal tools (e.g., React or similar) - 5+ years with REST/GraphQL APIs, OAuth2, webhooks, and event-driven patterns - Hands-on experience building applications with LLMs (prompt flows, RAG, or AI agents) using approved GenAI tools - 1+ years delivering production systems on cloud platforms (AWS preferred), including serverless (e.g., Lambda, API Gateway, managed databases/queues) and CI/CD - 3+ years working with marketing and performance data and supporting experimentation/analytics workflows (metrics and dashboards) **Preferred Qualifications** - 1+ years implementing/integrating campaign orchestration and workflow automation tools (e.g., Notion, Monday.com, Asana, or similar) - 1+ years working with/integrating Marketing tech stacks (CDPs/CRMs, ad platforms, email/lifecycle platforms, project management, collaboration tools) - 1+ years partnering with data engineers/analysts on schemas, interfaces, and experimentation frameworks for BI and AI use cases - AWS serverless expertise (Lambda, API Gateway, RDS, SQS, SNS, CloudFront, etc.) - 1+ years with Terraform and Docker for infrastructure automation and deployments - 1+ years with observability tooling (e.g., DataDog) plus logging, alerting, networking, and application security - 1+ years with analytics/experimentation tools (e.g., BigQuery, Hex, Mode, Statsig, or similar) **Compensation & Benefits (U.S.)** - Annual base pay range: **$130,000–$150,000 USD** - May be eligible for variable pay (annual bonus, restricted stock) depending on role - Benefits may include medi
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