Company

Qualcomm India Private Limited

Job Area

Engineering Group, Engineering Group > Software Engineering

General Summary

We are seeking a highly skilled Product Manager Staff – AI Video Surveillance to lead the strategy, development, and delivery of AI-powered video analytics and surveillance solutions. This role sits at the intersection of AI/ML, edge computing, and video surveillance systems, driving the end-to-end product lifecycle from concept to deployment.

You will work closely with customers and internal stakeholders to gather and refine product requirements and translate them into scalable, high-impact solutions.

• Engage with customers and internal stakeholders to gather detailed product requirements and use cases
• Continuously capture and document new requirements emerging from ongoing discussions
• Drive requirement clarification sessions to eliminate ambiguities and ensure alignment across engineering, product, and business teams
• Translate business needs into clear, structured product requirements and functional specifications for development teams
  
  
  

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
  
  
  

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
  
  
  

Job Responsibilities

Product Strategy & Roadmap

• Define and own the product vision, strategy, and roadmap for AI-based video surveillance solutions
• Identify high-impact use cases (e.g., intrusion detection, face recognition, behavior analytics)
• Align product direction with business goals and market opportunities
  
  
  

Customer & Market Understanding

• Gather and analyze customer requirements across enterprise, retail, and industrial deployments
• Conduct competitive analysis and track trends in AI, video analytics, and edge computing
• Translate customer problems into scalable product requirements
  
  
  

Product Development & Execution

• Collaborate with AI/ML, embedded, and cloud engineering teams to design and build solutions
• Define product requirements, specifications, and feature prioritization
• Drive the end-to-end product lifecycle from ideation to deployment and iteration
  
  
  

Cross-functional Leadership

• Act as the bridge between:
• Engineering (AI, embedded, cloud)
• Business teams (sales, marketing)
• External partners and customers
  
• Ensure alignment and timely execution across all stakeholders
  
  

Skills & Experience

Technical Skills

• Strong understanding of:
• AI/ML and Computer Vision (object detection, tracking, classification)
• Video streaming protocols (RTSP/RTP/ONVIF)
• Edge computing platforms and IoT devices.
• Familiarity with cloud platforms and distributed systems
  
  
  
Product & Business Skills


• Proven experience in product management (end-to-end lifecycle)
• Ability to define product strategy, roadmap, and go-to-market plans
• Strong analytical and problem-solving skills
• Experience with enterprise or industrial solutions is a plus.
  
  
  
Education

• Bachelor’s or master’s degree in:
• Computer Science / Engineering
• MBA (preferred but not mandatory).
  
  
  

Preferred Experience

9-12 years of experience, including:

• Experience working on AI-based video surveillance, CCTV, or VMS solutions with real-world deployments.
• Experience in building or managing end-to-end video analytics solutions (camera → edge → cloud → VMS/command center)
• Exposure to edge AI platforms (e.g., Qualcomm, NVIDIA, or similar embedded systems) and device-side optimization.
• Experience with computer vision use cases such as face recognition, object detection, tracking, and behavior analytics.
• Understanding of video pipelines including ingestion, decoding, analytics, and event generation.
• Experience in large-scale deployments (e.g., smart city, retail, enterprise security, industrial environments).
  
  
  

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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