Product Manager (AI & Edge Computing)

Job Title: Product Manager (AI & Edge Computing)
Department: Product Management
Industry: Defence, Security & Unmanned Systems
Experience: 1–3 Years
About BDIL
Bharati Defence & Infrastructure Limited (BDIL) is one of India’s emerging defence technology and system integration organizations, delivering advanced communication, surveillance, and mission-critical solutions across Air, Land, and Marine platforms.
BDIL is now firmly aligned with the Government of India’s Atmanirbhar Bharat and Make in India vision, aspiring to play a leading role in indigenous defence manufacturing, shipbuilding, and allied infrastructure projects.
Job Purpose
The Product Manager (AI & Edge Computing) will help translate customer and operational needs into practical product solutions built around real-time video processing, embedded computing and AI-enabled analytics. Working closely with Sales, Engineering, R&D, Operations and customers, the role will support product understanding, requirements definition, system integration, demonstrations and product improvement for demanding applications, including defence, security and unmanned platforms.
This is an early-career role for a technically strong learner. Structured product and technology training will be provided; the successful candidate must bring sound fundamentals, curiosity and the ability to learn complex systems quickly.
Key Responsibilities:
1. Technology & Product Understanding
Develop a strong working understanding of AI-enabled edge-computing products, including embedded processing, video capture and processing, AI acceleration, analytics and real-time data transmission.
Learn how capabilities such as object detection, classification and tracking are used in real-world applications, including their performance constraints and limitations.
Build familiarity with relevant system components and concepts, which may include cameras and sensors, processors/AI accelerators, embedded software, video codecs, networking and system interfaces.
2. Customer Needs & Product Requirements
Work with Sales and Business Development to understand customer use cases, operating environments, technical requirements and desired outcomes.
Translate customer needs into clearly documented product requirements, use cases, acceptance criteria and questions for Engineering/R&D.
Research application trends, competing solutions and emerging requirements; help assess where the technology can create meaningful customer value.
3. Product Integration & Technical Coordination
Coordinate with Engineering, R&D and technology specialists to understand product capabilities, configurations, interfaces and integration requirements.
Support evaluation of how AI and edge-computing modules can be integrated into platforms such as drones, unmanned ground systems, vehicles, surveillance systems or other relevant products.
Track technical questions, dependencies, issues and decisions, ensuring customer expectations are aligned with what the product can deliver.
4. Demonstrations, Trials & Pre-Sales Support
Prepare for and support product demonstrations, proof-of-concept activities and field trials.
Help configure demonstrations for specific customer applications, document observations and capture feedback systematically.
Support Sales in responding to technical queries and preparing product information or technical inputs for proposals and tenders, with guidance from experienced colleagues.
5. Product Documentation & Lifecycle Support
Maintain clear product documentation, requirement records, configuration details, issue logs and demonstration/trial outcomes.
Track product feedback and recurring issues, and share insights with Engineering/R&D and the wider team.
Assist in maintaining product roadmaps, prioritising enhancements and following agreed milestones under the guidance of senior stakeholders.
6. Continuous Learning & Cross-Functional Collaboration
Complete structured training and actively build expertise in AI, edge computing and the relevant product ecosystem.
Explain technical concepts clearly to colleagues from technical and non-technical backgrounds.
Work collaboratively across functions, take ownership of assigned deliverables and escalate risks or uncertainties early.
Key Success Measures
Ability to develop a sound understanding of product architecture, AI capabilities and edge-computing concepts.
Clear, accurate translation of customer use cases into documented product requirements.
Effective support for product demonstrations, technical discussions and integration activities.
Quality and timeliness of product documentation, feedback capture and follow-through on actions.
Ability to learn quickly, collaborate across functions and progressively handle greater product responsibility.
Qualifications & Experience
Bachelor’s degree in Electronics/Electronics & Communication, Computer Science, Information Technology, Electrical Engineering, Instrumentation, Mechatronics or a closely related technical discipline.
1–3 years of relevant experience, including internships, academic projects, research projects or early-career work in AI/ML, embedded systems, computer vision, robotics, video systems, IoT or related technologies.
Strong foundational understanding of AI/ML concepts and an interest in how AI models are deployed and used on edge devices. Practical project exposure is an advantage.
Familiarity with at least some relevant technical areas such as Python or C/C++, Linux, embedded platforms, computer vision, sensors/cameras, networking or video-processing concepts. Candidates are not expected to know every area.
Ability to understand technical information, analyse problems, ask good questions and communicate clearly with technical and business stakeholders.
Willingness to undertake structured training and build expertise in a specialised, evolving technology domain.
Preferred Attributes
Hands-on academic or personal projects involving AI/ML, computer vision, embedded computing, robotics, drones or real-time systems.
Exposure to edge AI deployment, model inference, video streaming, hardware/software integration or constraints such as latency, bandwidth, power and processing capacity.
Comfort working in a technically demanding environment where requirements may evolve as customer use cases become clearer.
Genuine interest in advanced technology applications in defence, security, aerospace, unmanned systems or industrial environments.
Ready to join us? Send your resume to careers@exicom.co.in
Explore more about us on our website: https://bharatidefence.com

Work arrangement
No