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Hearst Magazines · 8 hours ago

Lead Engineer, Audience Data Platform

New York, NY

Full-time

Hybrid

Lead/Staff

$168K/yr - $204K/yr

8+ years exp

Hearst Magazines is a global media company that publishes a portfolio of over 30 iconic brands. They are seeking a Lead Engineer to design and implement backend services for their Audience Targeting and Contextual Intelligence Platform, focusing on building scalable applications and data pipelines.

Media and EntertainmentPublishing

H1B Sponsor Likely

Responsibilities

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

Qualification

PythonAWSPostgreSQLFull-stack developmentRedisDockerKubernetesCI/CDAI-assisted development toolsCommunication skillsCollaboration skills

Required

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, BigQuery)

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

Preferred

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

Collaborate with top-tier professionals across media, advertising, tech, fashion, lifestyle, and publishing, shaping the future of these dynamic industries.

Unlock your potential with access to innovative training programs, immersive workshops, and exclusive industry events.

Enjoy the flexibility of hybrid work, empowering you to balance professional success with personal priorities.

Join our Employee Resource Groups and help create a welcoming workplace where everyone feels valued and empowered.

Prioritize your well-being with a comprehensive benefits package that includes medical, dental, and vision insurance from Day 1.

Enjoy competitive financial perks, including a 401(k) plan with a generous company match.

Company

Hearst Magazines

Glassdoor3.6

Hearst Magazines is a Media Production house.

Founded in 2006

West New York, New Jersey, USA

1001-5000 employees

http://www.hearst.com/magazines

H1B Sponsorship

Hearst Magazines has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2024 (1)

2023 (1)