Lead Product Manager – Audience Strategy

The Nielsen Company•New York, NY

About The Position

We are seeking a Lead Product Manager to drive the zero-to-one development of our next-generation value-orchestration platform at the intersection of programmatic, audiences and AI. In this role, you will lead a highly technical team dedicated to building the infrastructure that allows partners to strategically aggregate high-value digital assets, and pioneering the use of agentic, autonomous AI systems to optimize transactional efficiency at scale. Beyond product definition, you will be responsible for alignment across stakeholders and designing the phased go-to-market framework required to scale this 0-to-1 product.

Requirements

High Agency: Demonstrated ability to maintain extreme ownership, navigating organizational ambiguity and technical roadblocks with a proactive, zero-to-one mindset that prioritizes delivery over permission.
6+ years of Product Management experience, with a proven track record in high-scale programmatic ecosystems, dual-sided digital marketplaces, or complex transactional platforms.
Deep familiarity with programmatic supply/demand mechanics, data/inventory monetization strategy, and complex value-chain optimization.
Demonstrated success launching complex, technical products from scratch, managing alpha/beta programs, and driving alignment across executive-level stakeholders.
Strong technical literacy in machine learning, algorithmic optimization, or agentic/autonomous workflows (AI agents, LLM orchestration, intelligent automation).
Proven ability to navigate ambiguity and build net-new products from concept to launch.

Responsibilities

Define the multi-year roadmap for a high growth 0-1 product high-growth focused on marketplace and audience intelligence.
Identify and capitalize on macroeconomic and technical shifts (such as emerging AI frameworks and privacy-first data environments) to future-proof our platform.
Architect scalable solutions that enable internal and external partners to bundle, layer, and maximize the yield of complex data and digital assets.
Build advanced tools for multi-signal filtering, identity mapping, and highly targeted distribution.
Lead the product design for closed-loop, autonomous AI workflows that analyze performance signals, shift resources, and optimize transactional paths in real time.
Partner with Data Science and Core Engineering to integrate large language models (LLMs) and decisioning guardrails into live, high-throughput environments.
Design and execute a phased commercialization strategy, transitioning the product from early alpha/pilot partners to broad market readiness.
Define value propositions, feedback loops, and adoption metrics to ensure the product solves immediate market pain points at launch.
Collaborate with product marketing, sales enablement, and commercial leads to define pricing frameworks and positioning.
Serve as the primary bridge between highly technical engineering teams and non-technical business leaders, synthesizing complex AI and infrastructure concepts into clear strategic updates.
Manage expectations and drive alignment across cross-functional leadership, including Legal, Privacy, Sales, and Operations, to ensure compliance and organizational readiness.