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채용Hearst

Lead Engineer, Audience Data Platform

Hearst

Lead Engineer, Audience Data Platform

Hearst

New York, NY, United States, US

·

On-site

·

Full-time

·

4mo ago

필수 스킬

Python

React

AWS

PostgreSQL

Redis

GCP

Be Part of What's Next:

We're looking for a Lead Engineer to help build and scale the next generation of our Audience Targeting and Contextual Intelligence Platform–a system that enables privacy-safe, contextually relevant advertising and deeper insights into audience engagement.
You’ll be the technical owner of one or more applications in this ecosystem, designing scalable backend services, building data pipelines, and integrating with Hearst’s core publishing platform. This is a full-stack engineering role where you’ll collaborate with dedicated frontend engineers, data scientists, and platform teams to deliver impactful, AI-enabled advertising technology.
About Hearst Magazines (Why Us?)
Hearst Magazines’ portfolio of more than 30 iconic brands in the U.S.—including Cosmopolitan, ELLE, Esquire, Good Housekeeping, Harper’s BAZAAR, and Popular Mechanics — inspires, entertains, and builds new and bold experiences for an engaged and growing audience across digital, video, social and print, reaching nearly 130 million readers and site visitors each month. With sophisticated content creation, cutting-edge technology, and industry-leading data capabilities, we make media and products that move people across all platforms. We are a global media company that publishes nearly 200 magazine editions and 175 websites around the world—and together, we are shaping what’s next.
Key Responsibilities (What You Are Doing)

Lead the design and implementation of backend services and pipelines supporting contextual and audience targeting, taxonomy creation, and data ingestion.
Architect APIs, data models, and streaming workflows for real-time classification, recommendations, and audience insights.
Build and maintain Python-based (Quart/FastAPI) applications integrated with PostgreSQL, Redis, and event-driven architectures (AWS SNS/SQS).
Collaborate with and guide frontend engineers on full-stack development using React and modern web frameworks.
Integrate with core platform services for identity, metadata, and analytics to ensure seamless interoperability.
Design and manage multi-cloud infrastructure (primarily AWS, with GCP integrations for ML/data workflows).
Implement robust CI/CD, testing, and deployment pipelines.
Implement observability using Datadog, Sentry, and other monitoring tools.
Use modern AI development tools (e.g., GitHub Copilot, Codex, Claude) to accelerate delivery and improve code quality.
Partner with product managers and data scientists to evolve contextual AI and embedding models for privacy-safe, high-performance targeting.

Qualifications (What We’re Looking For)

8+ years of software engineering experience, with strong Python backend and full-stack development skills.
3–5 years leading technical design or architecture for scalable, data-intensive applications.
Proficiency in PostgreSQL (including pgvector) and Redis for performance and caching.
Hands-on experience cloud-based development, primarily AWS (S3, RDS, SNS/SQS, Lambda); exposure to GCP (Pub/Sub, Big Query).
Familiarity with Docker, Kubernetes, and modern CI/CD workflows.
Comfortable using AI-assisted development tools for productivity, testing, and documentation.
Excellent communication and cross-functional collaboration skills across technical and non-technical partners.
Hybrid role based in NYC, with 4 days a week in-office.

Nice to Have:

Experience in building and maintaining taxonomy management systems.
Knowledge of contextual or audience targeting, ad-tech systems, or recommendation platforms.
Understanding of privacy-safe advertising, first-party data frameworks, and data-compliance standards (GDPR, CCPA).
Exposure to machine-learning workflows or AI-based personalization systems.
Experience with GraphQL, Elasticsearch.
Experience with observability stacks (Datadog, Sentry).

Benefits (What We Offer)

Work with the Best: Collaborate with top-tier professionals across media, advertising, tech, fashion, lifestyle, and publishing, shaping the future of these dynamic industries.
Grow Your Skills: Unlock your potential with access to innovative training programs, immersive workshops, and exclusive industry events.
Work-Life Harmony: Enjoy the flexibility of hybrid work, empowering you to balance professional success with personal priorities.
Foster Connection & Belonging: Join our Employee Resource Groups and help create a welcoming workplace where everyone feels valued and empowered.
Wellness First: Prioritize your well-being with a comprehensive benefits package that includes medical, dental, and vision insurance from Day 1.
Plan for Your Financial Future: Enjoy competitive financial perks, including a 401(k) plan with a generous company match.

The base salary for this role is between $168,000 - $204,000. The actual base pay offered is dependent upon many factors, such as: transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future.
Hearst is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

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Hearst 소개

Hearst

Hearst

Public

Hearst Corporation, Hearst Holdings Inc. and Hearst Communications Inc. is an American multinational mass media and business information conglomerate owned by the Hearst family and based in Hearst Tower in Midtown Manhattan in New York City.

10,001+

직원 수

New York

본사 위치

리뷰

3.7

10개 리뷰

워라밸

3.2

보상

3.5

문화

4.1

커리어

3.4

경영진

3.1

68%

친구에게 추천

장점

Great team culture and colleagues

Good growth and learning opportunities

Excellent health benefits and vacation time

단점

Heavy workload and overtime expectations

Management issues and communication problems

Salary and compensation concerns

연봉 정보

30개 데이터

Mid/L4

Director

Mid/L4 · Senior Product Analyst, E-Commerce

1개 리포트

$221,000

총 연봉

기본급

$170,000

주식

-

보너스

-

$221,000

$221,000

면접 경험

45개 면접

난이도

3.1

/ 5

소요 기간

14-28주

합격률

38%

경험

긍정 61%

보통 20%

부정 19%

면접 과정

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

자주 나오는 질문

Technical skills

Past experience

Team collaboration

Problem solving