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Senior AI Product Manager

LinkedIn HiveWatch El Segundo, CA
Not Applicable Posted April 5, 2026 Job link
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Requirements
  • 5+ years of product management experience, with at least 3+ years building and scaling AI/ML or computer vision-powered products
  • Proven track record of launching successful AI products in B2B or enterprise environments, with measurable customer and business impact
  • Strong technical depth; You have experience with
  • computer vision, generative AI models and natural language processing, anomaly detection
  • model architectures, training pipelines, dataset management and performance trade-offs
  • model deployment and inference optimization, particularly understanding how to balance compute resources, latency, and cost for production workloads
  • Experience translating ambiguous customer problems into clear product requirements and technical specifications
  • Customer-centric mindset with excellent stakeholder management skills; You are comfortable engaging with technical and non-technical audiences
  • Strong analytical skills and data-driven decision-making approach
  • Ability to balance strategic vision with tactical execution; You can sweat the details while keeping the big picture in focus
  • Self-starter who thrives in fast-paced, high-ambiguity environments
  • Real passion for building products that solve meaningful problems STANDOUT QUALIFICATIONS:
  • Startup experience, particularly in early-stage or growth-stage companies
  • Background in computer vision, video analytics, or real-time AI systems
  • Prior experience as a software engineer, data scientist, or in a highly technical role
  • Experience in the security, surveillance, or physical security technology industry
  • Knowledge of edge AI, distributed systems, or IoT architectures
  • Experience with real-time data processing, event-driven systems, or streaming analytics
  • Understanding of trust, safety, and responsible AI considerations in production systems
Preferred Skills
  • Strong technical depth; You have experience with
  • Startup experience, particularly in early-stage or growth-stage companies
  • Background in computer vision, video analytics, or real-time AI systems
  • Prior experience as a software engineer, data scientist, or in a highly technical role
  • Experience in the security, surveillance, or physical security technology industry
  • Knowledge of edge AI, distributed systems, or IoT architectures
  • Experience with real-time data processing, event-driven systems, or streaming analytics
  • Understanding of trust, safety, and responsible AI considerations in production systems
  • Training in Computer Science, Engineering, Data Science, or related quantitative field
Education
  • (Not required) – Training in Computer Science, Engineering, Data Science, or related quantitative field