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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 to help teams work faster and in more data-driven ways. You will lead end-to-end design, implementation, and management of the marketing campaign lifecycle system, integrations, internal tools, and learning/experimentation infrastructure.
Responsibilities
- Write high-quality, secure, and well-tested code, contributing to standards and documentation for Marketing infrastructure, data models, and tools.
- Build the campaign lifecycle orchestration backbone.
- Build integrations and internal tools that connect project management, collaboration, creative, media, and email/lifecycle platforms.
- Work with Marketing partners as a technical advisor, translating needs into designs.
- Integrate AI agents and automations (including LLM-powered flows) into Marketing workflows according to company GenAI guidance.
- Design and operate data pipelines and models that ingest marketing and performance data into a data layer, supporting experimentation and analytics workflows.
- Deliver abstractions and APIs that ensure AI systems and our users can create campaign wrap-ups, insights, next-test recommendations, and more from that data.
- Lead reliability, observability, and incident response for integrations, data pipelines, and automations, including monitoring, logging, alerting, auditing, feature flags for pilots, and change management.
- Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
Requirements
- 5+ years of software engineering experience with a focus on backend or full-stack development for distributed systems and APIs.
- Proficiency in Python or TypeScript/Node.js and experience building integrations, services, data pipelines, and internal tools (using modern frontend frameworks such as React or similar).
- 5+ years of experience with REST/GraphQL APIs, OAuth2, webhooks, and event-driven patterns.
- Hands-on experience building applications with large language models (LLMs), such as prompt flows, retrieval-augmented generation, or AI agents, using approved GenAI tools.
- 1+ years of experience delivering production systems on cloud platforms (AWS preferred), including using serverless services (e.g., Lambda, API Gateway, managed databases/queues) and CI/CD practices.
- 3+ years of experience working with marketing and performance data and supporting experimentation and analytics workflows, including designing metrics and dashboards.
- 1+ years of experience implementing or integrating campaign orchestration and workflow automation tools (such as Notion, Monday.com, Asana, or similar) into marketing or operations environments.
- 1+ years of experience working with or integrating Marketing technology stacks, such as customer data platforms (CDPs) or CRMs, ad platforms, email or lifecycle platforms, project management tools, and collaboration tools.
- 1+ years of experience partnering with data engineers and analysts to design schemas, interfaces, and experimentation frameworks that serve both BI and AI use cases.
- AWS serverless expertise across services such as Lambda, API Gateway, RDS, SQS, SNS, CloudFront, and related tooling.
- 1+ years of experience with Terraform and Docker for infrastructure automation and deployments.
- 1+ years of experience configuring and using observability tooling such as DataDog, along with infrastructure-level logging, alerting, networking, and application security.
- 1+ years of Experience with tools such as BigQuery, Hex, Mode, Statsig or similar for analytics and experimentation.
Skills
- Python
- TypeScript/Node.js
- REST/GraphQL APIs
- OAuth2
- Webhooks
- Event-driven patterns
- Large language models (LLMs)
- Prompt flows
- Retrieval-augmented generation
- AI agents
- AWS
- Serverless services (Lambda, API Gateway, managed databases/queues)
- CI/CD practices
- Marketing and performance data
- Experimentation and analytics workflows
- Metrics and dashboards
- Campaign orchestration
- Workflow automation tools
- Marketing technology stacks (CDPs, CRMs, ad platforms, email/lifecycle platforms, project management tools, collaboration tools)
- Data engineers
- Data analysts
- BI use cases
- AI use cases
- Terraform
- Docker
- Observability tooling (DataDog)
- Infrastructure-level logging
- Alerting
- Networking
- Application security
- BigQuery
- Hex
- Mode
- Statsig
Location
- U.S.
Work Type
- Full-time
Experience Level
- Senior
- 5+ years
- 1+ years
- 3+ years
Salary/Compensations
- $130,000—$150,000 USD
Benefits
- Medical
- Dental
- Vision benefits
- Flexible Spending Accounts (F.S.A.s)
- Company-matching 401(k) plan
- Employee stock purchase plan
- Paid vacation
- Paid sick days
- Paid parental leave
- Tuition reimbursement
- Professional development programs
About the Company
- The mission of The New York Times is to seek the truth and help people understand the world. Independent journalism is at the heart of all we do as a company. We have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. We focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. Our business strategy centers on making journalism so good that it’s worth paying for.
- The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
Equal Opportunity
- We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
- The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.