We’re looking for a hands-on technical leader who loves systems design and is deeply curious about our audience. You’ll co-design and implement Complex’s platform, AI, and agentic infrastructure with both leaders and technical colleagues, building secure systems, proprietary tools, and better audience experiences.
You’ll exercise architectural decision-making authority with both leaders’ advice and consent, especially in continuous improvement, refinement, and optimization. We believe software is the new media: bring design thinking to our content and audience systems, building for durability and adaptability.
This position will be on-site in our New York, NY or Los Angeles, CA office.
What You'll Do
Co-design the platform architecture and roadmap with both leaders and drive implementation with the team. Deepen our structured data lake and build reliable pipelines, warehouse models, and reusable services with SQL, Python, Snowflake, and AWS.
Recommend what to build, buy, integrate, or retire. Implement agreed changes that remove unnecessary middleware, redundant licenses, and single-purpose tools.
Develop and implement standards with engineering colleagues for data quality, testing, lineage, observability, and deployment. Improve performance, cloud costs, resilience, and recovery together.
Work with data scientists and data engineers to understand our audience and help develop and implement segmentation across teams.
Design the signal capture that connects audience interactions to useful data. Make that data accessible and trustworthy for analytics, experimentation, content strategy, and product decisions.
Partner with content, product, and engineering teams on proprietary tools and new audience interactions, with a clear place in the broader platform.
Build the data foundations for machine learning and generative AI, including training and inference pipelines, embeddings, vector search, and retrieval-augmented generation where appropriate.
Test new models and tools, evaluate results, and recommend priorities to both leaders. Implement agreed AI and agentic applications with the team, including evaluation and monitoring.
Work closely with development, security, and applied AI colleagues to protect personally identifiable information and implement appropriate access controls. Make responsible design part of how the team builds and iterates.
Stay hands-on in implementation and architectural refinement while mentoring engineers. Support hiring and development, and help establish practices for code quality, version control, CI/CD, and operational reliability.
Help teams adopt the tools you build. Explain technical choices clearly, teach colleagues how systems work, and connect their use to content strategy and everyday decisions.
Translate business needs into implementation priorities with both leaders and cross-functional partners. Clarify responsibilities and tradeoffs, coordinate delivery, and measure results against agreed outcomes.
Design a coherent platform
Turn audience understanding into better experiences
Put AI to work responsibly
Lead by building and teaching
Who You Are
8+ years in data engineering, software engineering, analytics engineering, or a related discipline, including 3+ years leading teams, technical initiatives, or data platform architecture.
5+ years each with SQL and Python, including complex data exploration, optimization, warehouse modeling, and production data or automation workflows.
3+ years each with Snowflake; AWS services such as S3, EC2, and Lambda; and Apache Airflow or comparable orchestration tools such as Dagster or Prefect.
Experience building scalable production data platforms and pipelines, with strong data quality, testing, observability, and operational practices.
Experience supporting machine learning or AI through data engineering or infrastructure; an understanding of statistical analysis, experimentation, and data science workflows; and working knowledge of LLMs, embeddings, vector search, RAG, and AI application architecture.
Strong systems design and problem-solving skills. You can explain technical decisions to engineers and non-technical colleagues, work effectively with executives and cross-functional teams, and help others put new tools into practice.
Curiosity about our audience, sound judgment around security and data use, and a willingness to keep learning as models and tools change.
You must be willing to work on-site in our New York or Los Angeles office.
Leading AI transformation or platform initiatives; building production LLM applications and AI-powered automation; and evaluating models, retrieval systems, and AI performance.
Infrastructure as code such as Terraform; CI/CD, Docker, or Kubernetes; distributed processing such as Spark; and data governance, metadata, lineage, security, and privacy.
Digital media, advertising, publishing, entertainment, or consumer technology; high-growth or resource-constrained teams; and evaluating third-party platforms and build-versus-buy decisions.
What We Offer
- Best in class health, dental, and vision insurance
- Healthcare FSA
- Dependent Care FSA
- Commuter Benefits FSA
- Short-term/long-term disability and life insurance
- Paid Parental leave
- 401k with 4% match
- Pet Insurance
- Legal and Identity Theft Plans
- Flexible PTO
Skills Required
- 8+ years of experience in data engineering, software engineering, analytics engineering, or a related technical discipline
- 3+ years leading data engineering teams, technical initiatives, or data platform architecture
- 5+ years of SQL experience, including complex data exploration, optimization, and relational or data warehouse modeling
- 5+ years of Python experience for data engineering, automation, application development, or machine learning workflows
- 3+ years of Snowflake experience, including data modeling, architecture, performance optimization, and large-scale data processing
- 3+ years of AWS experience, including S3, EC2, Lambda, and related cloud technologies
- 3+ years of Apache Airflow or comparable orchestration technology such as Dagster or Prefect
- Experience designing and implementing scalable data platforms and production-grade data pipelines
- Strong experience with data quality, testing, observability, monitoring, and operational reliability
- Experience supporting machine learning or AI initiatives through data engineering, feature engineering, model data pipelines, or AI infrastructure
- Strong understanding of machine learning concepts, statistical analysis, experimentation, and data science workflows
- Working knowledge of generative AI, LLMs, embeddings, vector search, RAG, and AI application architectures
- Strong analytical and critical-thinking skills
- Ability to communicate technical concepts clearly to technical and non-technical audiences
- Experience working with executives, stakeholders, engineers, analysts, and data scientists
- Willingness to work in the New York or Los Angeles office
- Experience leading AI transformation or AI platform initiatives
- Experience designing production systems for LLM or generative AI applications
- Experience with vector databases, embeddings, RAG architectures, model evaluation, and AI observability
- Experience implementing AI-powered automation within data or business workflows
- Experience with infrastructure-as-code technologies such as Terraform
- Experience with CI/CD, Docker, Kubernetes, or modern DevOps practices
- Experience with distributed data processing technologies such as Spark
- Experience with data governance, metadata management, lineage, security, and privacy
- Experience in digital media, advertising, publishing, entertainment, or consumer technology
- Experience managing data platforms in a high-growth or resource-constrained organization
- Experience evaluating third-party data, analytics, and AI platforms and making build-versus-buy decisions
What We Do
Complex NTWRK champions the people, brands and new trends you need to know now, will obsess over next, and we build consumer universes around them. We're what a modern entertainment company looks like and what others have followed since 2002. From pop culture and style (Complex), music discovery (Pigeons and Planes), sneaker news (Sole Collector) to our festival of cultural convergence (ComplexCon) — if you want to be part of what's next and build valuable relationships with the audiences who live in it, join us at Complex NTWRK. Complex NTWRK creates and distributes original programming with premium distributors including Netflix, Hulu, Facebook, Snap, Fuse, Pluto TV, Roku and more. Our content spans across music to movies, sports to video games, sneakers, fashion to food and more. In 2016, Complex launched its flagship event ComplexCon in Long Beach, California, to bring the "Internet to life."
