Director, Product (US)

Code and Theory

$170K — $200K *
Media
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Significant product management experience with a focus on LLM-based products.
  • Proficiency in AI tooling and prototyping.
  • Deep knowledge of media and adtech, including measurement methods and campaign tracking.
  • Technical fluency in AI architecture and frameworks like LangChain.
  • Ability to thrive in fast-paced, experimental environments.
  • Strong communication skills for diverse audiences.
  • Familiarity with the media agency landscape is advantageous.

Responsibilities

  • Lead the development of AI-driven functionalities for media and adtech.
  • Identify and implement generative workflow opportunities in adtech processes.
  • Transform complex problems into actionable feature sets and prototypes.
  • Collaborate with cross-functional teams to prioritize product features.
  • Rapidly prototype LLM-based tools and interfaces.
  • Define metrics, execute experiments, and analyze results for product decisions.
  • Serve as a liaison between technical teams and creative stakeholders.

Benefits

  • Opportunity to work on cutting-edge AI and adtech innovations.
  • Collaborative environment with AI-native engineering teams.
  • Access to state-of-the-art software development practices.
  • Position at the intersection of several dynamic fields: AI, media, and engineering.
  • Potential for professional growth within a pioneering company.
Full Job Description
We9re looking for a Director of Product Management, Adtech who will lead the development of AI-driven and agentic experiences within The Machine9s 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 Machine9s 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 YOU9LL DO
  • Lead the roadmap for AI and agentic functionality across The Machine9s 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 Machine9s 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 YOU9LL 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

The base compensation range for this role is $170,000 - $200,000 and spans multiple levels. We9re open to hiring at the level that best matches the right candidate9s 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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