Senior Product Manager, Local Ads and Monetization

NewsBreak•Mountain View, CA
•$175,000 - $215,000•Hybrid

About The Position

NewsBreak is seeking a Senior Product Manager with extensive experience in developing advertising and monetization products specifically for local businesses. This role involves owning the strategy, roadmap, and business results for products designed to help local advertisers connect with relevant audiences, attract customers, and expand their businesses. The scope includes local business advertising and local services across various categories, focusing on creating consumer experiences that link users with businesses and advertiser tools that yield measurable outcomes. A deep understanding of how local businesses attract customers, assess advertising effectiveness, and allocate marketing budgets is essential. The position is based in Seattle, WA or Mountain View, CA.

Requirements

  • 6+ years of product management experience, including 3+ years building advertising or monetization products for local businesses or local services.
  • A demonstrated record of shipping and scaling products with measurable impact on advertising revenue, advertiser retention, or customer acquisition performance.
  • Deep understanding of local advertiser economics, including customer acquisition costs, geographic reach, seasonality, budget constraints, and return on marketing investment.
  • Practical knowledge of performance advertising, including geographic targeting, campaign optimization, pricing models, conversion tracking, and measurement of online and offline outcomes.
  • Strong analytical skills and proficiency in SQL, with the ability to diagnose performance problems and translate findings into product decisions.
  • Experience working directly with local business owners, service providers, or advertisers to uncover needs and validate solutions.
  • Ability to independently lead an ambiguous product area, set priorities, and deliver with Engineering, Design, Data Science, Sales, and other partners.

Nice To Haves

  • Experience in local service categories such as home improvement, health and wellness, or professional services.
  • Experience serving small businesses, agencies, franchises, or businesses operating across multiple locations.
  • Experience launching AI products for advertisers or consumers, or connecting advertising products with CRM, booking, commerce, and offline conversion systems.

Responsibilities

  • Own the strategy and roadmap for local ads and local services, prioritizing advertiser segments, service categories, and geographic markets.
  • Develop ad formats, pricing, and monetization models that support sustainable revenue growth while delivering value to advertisers and consumers.
  • Build experiences that help users discover relevant local businesses, products, and services through sponsored content, business profiles, recommendations, and other advertising formats.
  • Improve the path from discovery to action, helping users explore offerings, contact businesses, book services, or make purchases.
  • Define how local advertisers measure success across objectives, including awareness, engagement, customer inquiries, bookings, purchases, and return on advertising spend.
  • Partner with advertisers and measurement teams to connect campaign reporting with online and offline business outcomes. Use those insights to improve advertiser performance and investment decisions.
  • Simplify business onboarding, campaign creation, geographic targeting, budgets, creative setup, and performance reporting for local advertisers.
  • Partner with Sales, Marketing, and Account Management to improve activation, repeat spending, and retention across self-service and managed accounts.
  • Identify and launch AI capabilities that improve local discovery, personalize business recommendations, and reduce the effort businesses spend creating and managing campaigns.
  • Partner with teams building AI media buying and account management products to adapt shared capabilities to local advertiser needs.
  • Use advertiser interviews, consumer research, SQL analysis, and experiments to prioritize opportunities and evaluate revenue, advertiser retention, campaign performance, and consumer experience.
  • Lead delivery with Engineering, Design, Data Science, and advertiser-facing teams. Set clear outcomes, make trade-offs, and own products from discovery through launch and iteration.

Benefits

  • Discretionary bonus
  • Options
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