Code and Theory

Code and Theory

Director, Product - Data Infrastructure (US)

New York, New York, United States · Director

Sponsorship not specified$170k-$200kDetected 13 days ago
Vector DatabasesMachine LearningData EngineeringData ScienceRAGAI OrchestrationA/B TestingProduct ManagementBrand StrategyLeadershipCommunicationCollaboration

About the role

  • It plugs into the tools marketing teams use and turns disconnected workflows into a single intelligent system, connecting brand strategy, creative production, and media performance.

Responsibilities

  • Lead the roadmap for The Machine's core services, data ingestion, and query/context layers
  • Collaborate with Data Science, Engineering, and UX to prioritize features and deliver fast, iterative experiments
  • Partner with the Machine's AI architecture and Solutions Engineering teams to ensure scalable, secure deployments
  • Work closely with design and engineering to evolve how users onboard data sources and interact with the query layer
  • Present prototypes, findings, and roadmaps clearly to leadership and partner teams
  • Support cross-functional initiatives like new data source onboarding, client implementations, and pilot launches
  • This role sits at the convergence of AI orchestration, data infrastructure, product design, and workflow innovation, turning conceptual capabilities into scalable, production-ready systems.
  • You will own high-leverage platform investments, shape how data flows into and through The Machine (ingestion, harmonization, the query layer, and shared context) and help define the foundations the next generation of intelligence features are built on.
  • AI-native professional skills (you build/prototype/scaffold your approach to work using AI tooling)

Requirements

  • Significant product management experience, including a track record of leadership, with data platform or infrastructure products and using AI prototyping tools
  • Proven ability to ship data- or ML-powered products (data pipelines, RAG, or agentic workflows)
  • Familiarity with data governance, lineage, multi-tenancy, and access control in enterprise environments
  • Comfort with ambiguity, fast iteration, and experimentation-heavy environments - we ship daily
  • The ideal candidate combines fluency in AI systems and modern data infrastructure, a sharp product sense, and comfort bridging strategy and engineering.

Skills

  • The Machine is the agentic operating system for marketing, built by Code and Theory.
  • The Machine helps power agencies across Stagwell's network and world-leading brands.
  • from tech to CPG, financial services to travel & hospitality, government and education to media and publishing.
  • The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent.

Compensation

  • The base compensation range for this role is $170,000 – $200,000 and spans multiple levels.

Company info

  • Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology.
  • We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients.
  • With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve.
  • We have teams distributed across North America, South America, Europe, and Asia.
  • The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.
  • Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing.
  • We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.
  • We're always on the lookout for smart, driven, and forward-thinking people to join our team.
  • The base compensation range for this role is $170,000 - $200,000 and spans multiple levels.
  • We're open to hiring at the level that best matches the right candidate's experience.
  • Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, budget, and location.
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