Full-Time

Senior Product Manager 2

Nielsen

Nielsen

10,001+ employees

Global audience measurement and data analytics

No salary listed

Bengaluru, Karnataka, India

In Person

Category
Product
Required Skills
Agile
Data Science
Product Management
Machine Learning

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Requirements
  • 10–12 years of experience in technical product management with deep technical knowledge
  • Strong leadership and team management skills, with the ability to inspire and guide cross-functional teams.
  • Good written and verbal communication skills and the ability to communicate with both technical and non-technical audiences.
  • Experience building 0-to-1 products, leading client discovery, executing test-and-learn research, and adjusting product direction based on new information and changing priorities.
  • Demonstrated success in driving product innovation and managing complex portfolios.
Responsibilities
  • Lead and implement the strategic vision for products within the Nielsen Ad Intelligence applications portfolio, aligning with company goals and market needs.
  • Oversee the end-to-end product life cycle, from concept and development to launch and iteration.
  • Prioritize the product roadmap, including a clear understanding of requirements, resources, execution timelines, and impact.
  • Identify customer problems and workflow opportunities where AI, machine learning, and emerging technologies can unlock novel product capabilities and measurable business value.
  • Define, evaluate, and drive AI-enabled product initiatives from discovery through production, including use case prioritization, solution design, experimentation, launch planning, and post-launch optimization.
  • Partner closely with engineering, data science, and architecture teams to implement AI-powered solutions using appropriate approaches and tools, including machine learning, model orchestration, MCP, and related technologies where applicable.
  • Establish clear product requirements, success metrics, guardrails, and evaluation criteria for AI functionality, including quality, reliability, explainability, performance, and user adoption.
  • Lead testing and validation of AI-driven features through prototyping, test-and-learn experiments, pilot programs, and phased rollouts to ensure product-market fit and operational readiness.
  • Collaborate with cross-functional teams (engineering, data science, sales, and marketing) to deliver cutting-edge solutions.
  • Identify market trends, customer needs, and competitive landscape to inform product strategy.
  • Drive innovation in planning products, fostering a culture of collaboration and excellence.
  • Lead stakeholder communication, including presenting product initiatives and updates to cross-functional leaders and meeting with customers.
  • Ensure products are launched on time and within budget, while meeting high-quality standards.
  • Establish and track key performance indicators (KPIs) to measure the success and impact of the Nielsen Ad Intelligence applications.
  • Ensure efficient and effective product development processes, including agile methodologies and best practices.
Desired Qualifications
  • Familiarity with modern AI product development concepts and tooling, such as model evaluation, prompt and workflow design, human-in-the-loop systems, MCP, and experimentation frameworks, is strongly preferred.
  • Experience with advertising tech stack and direct experience building linear, digital, ad intelligence, cross-platform planning and measurement, DSP, SSP, ad server, data-driven planning, activation, programmatic buying, and measurement solutions in CTV/OTT environments is strongly preferred.
  • Experience with media measurement in international markets desired.
  • Experience with machine learning and AI applications in ad tech, including identifying practical use cases, partnering on implementation, and evaluating customer and business impact is desired.
  • In-depth industry knowledge and experience with digital advertising standards and protocols, particularly in CTV and OTT, and familiarity with industry standards desired.

Nielsen measures audience data for media across TV, digital, audio, and streaming, providing subscriptions to datasets and analytics for industry players. Its products include cross‑platform ratings, media planning, and marketing optimization insights drawn from a global data network. Gracenote is part of its offerings, expanding content identification and metadata services. Nielsen’s goal is to help customers understand how people consume media and use that information to optimize content, advertising, and business decisions.

Company Size

10,001+

Company Stage

Debt Financing

Total Funding

$5.2B

Headquarters

New York City, New York

Founded

1963

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Simplify Jobs

Simplify's Take

What believers are saying

  • Ad Intel AI can monetize real-time competitor intelligence across 5.5 million brands.
  • Embedded MCP workflows reduce friction by placing analytics inside client planning tools.
  • Subscription data products support recurring revenue from advertisers, agencies, and media owners.

What critics are saying

  • Walled gardens like YouTube and TikTok hide spend, weakening cross-media measurement.
  • Comscore and platform-native metrics give buyers credible alternatives during pricing pressure.
  • Methodology disputes or AI hallucinations can trigger audits, renewals loss, and buy pauses.

What makes Nielsen unique

  • Nielsen spans TV, digital, audio, and commerce measurement across 100+ countries.
  • Person-verified panels and validated datasets differentiate Nielsen from synthetic AI-only competitors.
  • Gracenote adds content metadata for precise streaming, CTV, and contextual targeting.

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Benefits

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
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