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Business Development Manager – Robotics & Edge AI

NXP Semiconductors
Hyderabad, IND
Full-time
Mid-Senior
Onsite
Discovered 1 months ago
Business developmentTechnical customer engagementGo-to-market strategyEdge AIAI/ML platformsEmbedded systems

Full Job Posting

Role Summary

The Business Development Manager will lead India growth for Robotics and Edge AI hardware, software, and end-to-end solutions.

The role targets automotive, industrial, manufacturing, smart cities, mobility, surveillance, retail, healthcare, and public-sector opportunities.

The ideal candidate combines technical Edge AI understanding, business acumen, and customer and ecosystem relationships in India.

Market and Business Development

  • Develop and execute the India go-to-market strategy for Edge AI solutions.
  • Identify growth opportunities and build a strong opportunity pipeline.
  • Conduct competitive analysis, pricing intelligence, and market positioning.

Customer and Account Leadership

  • Engage OEMs, Tier-1s, cloud providers, ISVs, system integrators, and device manufacturers.
  • Lead C-suite and senior stakeholder conversations.
  • Own the full deal lifecycle from prospecting to negotiation and closure.
  • Work with solution architects and engineering teams on customer-specific proposals.

Solution Positioning

  • Articulate value propositions for CPUs, MCUs, NPUs, accelerators, sensors, and cloud-edge architectures.
  • Translate customer needs into technical requirements and roadmap inputs.
  • Support proofs of concept, pilots, benchmarks, and solution evaluations.

Ecosystem and Internal Leadership

  • Develop partnerships with AI/ML ISVs, analytics companies, OEMs, ODMs, chip vendors, and cloud partners.
  • Represent the company at industry events, partner workshops, and technology forums.
  • Collaborate with product management, marketing, engineering, and global business development teams.
  • Provide field intelligence and drive cross-functional alignment for customer success and market expansion.

Must-Have Qualifications

  • 8–12+ years of technical customer-facing, business development, or OEM engagement experience.
  • Experience in Edge AI or AI/ML platforms, embedded systems or processors, automotive or industrial electronics, or IoT or edge computing.
  • Strong understanding of Edge AI workloads, processors, accelerators, sensors, connectivity, and device-to-cloud systems.
  • Understanding of TensorFlow Lite, ONNX, PyTorch, and inference runtimes.
  • Bachelor’s degree in Engineering in ECE, EEE, CSE, or a related field.

Additional Qualifications

  • Excellent communication, stakeholder management, and executive-level presentation skills.
  • Ability to collaborate with technical teams and simplify complex concepts.
  • MBA is preferred but not mandatory.
  • AI/ML or AWS, Azure, or GCP certifications are advantageous.

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