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Senior Product Manager, AI Platform & Ecosystem

$141.2k - $237.4k
Full-time

Zillow

Role Description

We’re looking for a Senior Product Manager to help shape how AI works across Follow Up Boss. In this role, you’ll lead the platform capabilities that connect AI to FUB’s data, workflows, and integrations, making it possible to build smarter, more useful experiences for agents. You’ll influence how AI-powered experiences understand context, take action, and become more personalized over time. This is a high-impact opportunity to define platform strategy, partner deeply with cross-functional teams, and help turn emerging AI capabilities into meaningful customer and business value.

  • Own the strategy and evolution of the platform capabilities that enable AI assistants, workflows, and integrations to interact with Follow Up Boss in reliable, scalable ways.
  • Define how internal AI systems and external partners connect to FUB data and actions through clear, well-designed tools and integration patterns.
  • Shape the context and intelligence capabilities that help AI better understand agent and lead activity, including signals, summaries, and data quality improvements.
  • Lead the product direction for memory capabilities that make AI experiences more personalized and useful across interactions over time.
  • Partner closely with engineering, AI/ML, design, and product peers to assess tradeoffs, define solutions, and ship iteratively.
  • Help identify and prioritize the highest-value platform and ecosystem opportunities based on product needs, usage patterns, and long-term strategy.
  • Drive alignment across teams by communicating roadmap priorities, progress, and strategic decisions clearly to stakeholders and leadership.
  • Contribute to the long-term vision for how AI platform capabilities show up in product experiences across web, mobile, automation, and assistant surfaces.

Qualifications

  • 5+ years of product management experience, ideally in platform, infrastructure, AI, LLMs, workflow, or other technically complex product spaces.
  • Strong technical fluency and the ability to work closely with engineers on APIs, integrations, data models, and system design decisions.
  • Experience building AI-powered products, with a strong understanding of how tools, context, memory, evaluation, and reliability come together in real product experiences.
  • A systems-oriented mindset and the ability to think beyond individual features to design capabilities that support multiple use cases and consumers.
  • A track record of defining success metrics, using data to measure impact, and making strong product decisions in ambiguous environments.
  • Clear communication skills, including the ability to translate complex ideas into strong product thinking, crisp documentation, and aligned execution.
  • A bias for action, strong judgment, and comfort balancing speed with long-term quality in a fast-moving environment.
  • Experience with CRMs, workflow automation, B2B SaaS, external integrations, or adjacent AI platform capabilities is a plus.

Requirements

  • This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.
  • In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $148,600.00 - $237,400.00 annually.
  • In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $141,200.00 - $225,600.00 annually.
  • In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.
  • Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.

Benefits

  • Competitive base salary.
  • Equity awards based on factors such as experience, performance, and location.
Vacancy posted 1 day ago
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