Senior Product Manager, Emerging Technology

JOB DESCRIPTION

The Senior Product Manager, Emerging Technology (Ad Tech), will be responsible for defining, prototyping, and scaling next-generation AI capabilities across FOX’s ad sales and operations ecosystem. This role focuses on Large Language Models (LLMs), generative AI systems, and agentic workflows applied to monetization and revenue optimization.

You will operate at the intersection of product strategy, applied AI, and ad tech platforms, shaping how intelligent systems enhance media planning, sales enablement, campaign execution, yield optimization, and advertiser insights.

This is a high‑impact, high‑autonomy position for a product leader energized by ambiguity, rapid prototyping, and shaping next‑generation advertising technology beyond traditional UI‑driven features.

RESPONSIBILITIES

• Define the product vision and roadmap for AI‑native advertising capabilities, including LLM‑powered systems, agentic workflows, and campaign optimization systems.
• Lead early‑stage prototyping efforts to validate emergent AI technologies in ad tech solutions, moving from concept to pilot with clear success metrics.
• Partner with machine learning and engineering teams to design scalable architectures for training, fine‑tuning, deploying, and monitoring LLM‑based systems.
• Guide the development of agentic systems that automate workflows across the ad lifecycle (planning, trafficking, optimization, reporting) across linear and digital ad sales & fulfillment.
• Translate advances in generative AI, multimodal learning, and autonomous agents into practical, production‑ready product capabilities.
• Drive experimentation and A/B testing to evaluate the impact of AI‑powered features on revenue, yield, fill rate, campaign performance and operational efficiency.
• Collaborate with ad sales, client services, and revenue operations teams to develop intelligent systems that enhance media planning, forecasting, pricing, and client intelligence.
• Develop systems that analyze structured and unstructured data to generate real‑time insights and decisioning recommendations.
• Ensure AI systems meet standards for reliability, performance, safety, and observability in real‑world use cases.
• Define and track KPIs tied to revenue lift, sales productivity, campaign performance, model efficacy, and operational efficiency.
• Develop product requirements, briefs, and decision frameworks that align cross‑functional teams around complex, evolving AI initiatives.
• Foster a culture of responsible innovation, curiosity, and technical rigor across product and partner teams.

QUALIFICATIONS

• Product management and/or engineering experience, focused on ad tech, martech, programmatic advertising, or data platforms.
• Demonstrated experience leading products that incorporate machine learning, AI, or data‑driven systems in production environments.
• Technical proficiency in the digital advertising ecosystem, including DSPs, SSPs, ad servers, programmatic workflows, and measurement frameworks.
• Strong conceptual understanding of Large Language Models, transformer architectures, prompt engineering, and fine‑tuning approaches.
• Experience defining product requirements for agentic systems, including tool use, multi‑step reasoning, and workflow orchestration.
• Familiarity with retrieval‑augmented generation (RAG), embeddings, vector databases, and evaluation strategies for LLM‑based data products.
• Ability to work closely with ML engineers and data scientists to translate technical constraints into product trade‑offs and roadmaps.
• Comfort operating in ambiguity and making prioritization decisions amid rapid technological change.
• Strong analytical mindset, with experience defining success metrics and using data to guide iteration and optimization.
• Excellent communication skills, with the ability to align technical and non‑technical stakeholders around complex ideas.
• Passion for the future of advertising, data‑driven decisioning, and AI‑powered monetization.
• Regular on‑site attendance at the workplace a minimum of three days per week.

OPTIONAL QUALIFICATIONS

• Experience working on ad tech platforms, internal sales tooling, or revenue operations systems.
• Familiarity with clean rooms, identity graphs, privacy‑preserving audience targeting.
• Experience with forecasting, pricing models, or yield management systems.
• Experience guiding teams through build vs. buy decisions for AI infrastructure for ad tech.
• Habits of drawing inspiration from adjacent industries such as fintech, prediction markets, enterprise SaaS, and others to inform AI‑native product design.

Pursuant to state and local pay disclosure requirements, the pay rate for this role, including education, skills, experience and location, is $128,000.00 – $174,000.00 annually. This role is also eligible for an annual discretionary bonus, medical/dental/vision insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for union‑represented employees will be in accordance with the applicable collective bargaining agreement.

We are an equal‑opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

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