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AI Product Manager

SimpliSafe

Salary not specified
Oct 15, 2025
Boston, MA, US
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SimpliSafe is seeking a Principal Product Manager to lead critical AI initiatives and drive significant impact in the home security space.

Requirements

  • 8+ years of proven experience as a Product Manager, with a focus on AI and machine learning products
  • Strong technical background and understanding of machine learning algorithms, AI techniques, and data science principles
  • Experience with building and testing AI-powered apps or features using various computer vision models in the cloud and edge
  • Demonstrated use of AI tools to improve efficiency and automate tasks, for example, using LLMs
  • Understanding of data dependencies and collaboration across teams to access necessary data for AI solutions
  • Experience with data privacy regulations
  • Familiarity with Large Language Models (LLM) and Vision Language Model (VLM) capabilities

Responsibilities

  • Define and articulate the product vision, strategy, and roadmap for AI and machine learning products
  • Lead the end-to-end AI product development lifecycle, from concept to launch
  • Stay abreast of industry trends, emerging technologies, and competitor products, especially in generative AI
  • Collaborate with cross-functional teams to drive the development and launch of high-quality AI products
  • Work closely with technical teams to understand the feasibility and limitations of proposed AI solutions
  • Establish key performance indicators (KPIs) and metrics to measure the success of AI products
  • Develop and implement testing strategies that involve customers early in the development process

Other

  • Bachelor's or Advanced Degree in Computer Science, Engineering, or a related field preferred
  • Willingness to roll up your sleeves and get things done
  • Loves and thrives in ambiguous environments
  • A data-driven mindset that encourages debate and critical thinking with quick decisions
  • Strong writing ability, presentation, and verbal communication skills
  • Ability to leverage data, intuition, and experience to make recommendations and make decisions
  • Strong influence and leadership skills, with the ability to lead large, complex projects requiring multi-functional collaboration, input, and alignment