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Director, Product (Us)

Code and TheoryNew York, NY

$170,000 - $200,000 / year

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Overview

Schedule
Full-time
Career level
Executive
Remote
On-site
Compensation
$170,000-$200,000/year
Benefits
Career Development

Job Description

The Machine is the agentic operating system for marketing, built by Code & Theory. 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. The Machine helps power agencies across Stagwell's network and world-leading brands.

We're looking for a Director of Product Management, Adtech who will lead the development of AI-driven and agentic experiences within The Machine's media and adtech portfolio, translating complex data capabilities into intuitive, high-impact tools for media, strategy, and marketing teams. This role sits at the convergence of AI orchestration, adtech, product design, and workflow innovation, turning conceptual use cases into scalable, production-ready systems.

You will own high-leverage experiments, shape how users interact with generative and reasoning models across the media lifecycle - planning, optimization, trafficking, measurement, and reporting - and help define The Machine's next generation of features for the vertical. The ideal candidate combines fluency in AI systems and the adtech ecosystem, a sharp product sense, and comfort bridging strategy and engineering.

Our engineers are AI native and engage in and advance the state of the art in the practice of software development flow with AI.

WHAT YOU'LL DO

  • Lead the roadmap for AI and agentic functionality across The Machine's media and adtech ecosystem
  • Identify opportunities for generative and reasoning-based workflows that drive measurable efficiency or performance gains across media planning, optimization, and measurement
  • Translate broad problem spaces into concrete feature sets, prototypes, and launch plans
  • Collaborate with Data Science, Engineering, and UX to prioritize features and deliver fast, iterative experiments
  • Rapidly prototype LLM-based agents, copilots, and data-interactive interfaces using sandbox environments and internal frameworks
  • Define success metrics, run experiments, and evaluate performance to inform production decisions
  • Partner with the Machine's AI architecture and FDE teams to ensure scalable, secure deployments
  • Act as a connective hub between technical, media, and creative stakeholders across Stagwell
  • Present prototypes, findings, and roadmaps clearly to leadership and partner teams
  • Support cross-functional initiatives like client demos, internal rollouts, and pilot launches

WHAT YOU'LL NEED

  • Significant product management experience, including a track record of leadership, with LLM-based products and using AI prototyping tools
  • AI-native professional skills (you build/prototype/scaffold your approach to work using AI tooling)
  • Deep domain expertise in media and adtech: ad platforms, measurement methods (MMM/MTA, incrementality), DCO, and campaign tracking and trafficking
  • Technical fluency in AI tooling and architecture: APIs, vector databases, orchestration frameworks (LangChain, etc.)
  • Comfort with ambiguity, fast iteration, and experimentation-heavy environments - we ship daily
  • Excellent written and verbal communication skills for technical and non-technical audiences
  • Familiarity with the media agency world is a plus

ABOUT US

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.

The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. 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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FAQs About Director, Product (Us) Jobs at Code and Theory

What is the work location for this position at Code and Theory?
This job at Code and Theory is located in New York, NY, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Code and Theory?
Candidates can expect a pay range of $170,000 and $200,000 per year.
What employment applies to this position at Code and Theory?
Code and Theory lists this role as a Full-time position.
What experience level is required for this role at Code and Theory?
Code and Theory is looking for a candidate with "Executive" experience level.
What benefits are offered by Code and Theory for this role?
Code and Theory offers Career Development for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Code and Theory?
You can apply for this role at Code and Theory either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.