Business Development Manager – Edge AI

NXP Semiconductors; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading semiconductor company is seeking a Senior Business Development Manager to drive growth in Edge AI solutions across India. This role involves developing go-to-market strategies, acquiring customers, and leading strategic partnerships. Candidates should have 8–15+ years of experience in relevant fields such as AI platforms and embedded systems. The ideal candidate will possess strong technical understanding and proven ability to engage with stakeholders at all levels.

Qualifications

• 8–15+ years of experience in Technical Customer facing role or Business Development.
• Strong understanding of Edge AI workloads and ICs.
• Ability to simplify complex concepts for stakeholders.

Responsibilities

• Develop and execute go-to-market strategy for Edge AI solutions.
• Drive engagement with OEMs and stakeholders.
• Support solution evaluations and pilot projects.

Skills

Technical Customer Engagement

Business Development

Stakeholder Management

Communication

Education

Bachelor’s degree in Engineering (ECE, EEE, CSE)

MBA

Tools

AI frameworks (TensorFlow Lite, ONNX, PyTorch)

Cloud platforms (AWS, Azure, GCP)

Job description

Role Summary

We are seeking an experienced and highly driven Senior Business Development Manager (Sr. BDM) – Edge AI to lead our growth strategy across the India market. This role focuses on identifying, shaping, and closing opportunities for Edge AI hardware, software, and end‑to‑end solutions across multiple industry verticals including automotive, industrial, manufacturing, smart cities, mobility, and surveillance. The ideal candidate brings a strong mix of technical understanding of Edge AI and strategic business acumen, along with deep customer and ecosystem relationships in India.

Key Responsibilities

• Market & Business Development
  • Develop, own, and execute the go‑to‑market (GTM) strategy for Edge AI solutions in India.
  • Identify growth opportunities across automotive, industrial, robotics, smart city, retail, healthcare, and public sector domains.
  • Build a strong opportunity pipeline and deliver consistent quarterly growth.
  • Conduct competitive analysis, pricing intelligence, and market positioning for Edge AI offerings.
• Customer Acquisition & Account Leadership
  • Drive strategic engagement with OEMs, Tier‑1s, cloud providers, ISVs, system integrators, and device manufacturers.
  • Lead C‑suite and senior stakeholder conversations to evangelize Edge AI solutions.
  • Own the full deal lifecycle — from prospecting to negotiation to closure.
  • Work closely with solution architects and engineering teams to develop customer‑specific proposals.
• Solution Positioning & Technical Understanding
  • Understand and articulate value propositions for Edge AI platforms including CPUs, MCUs, NPUs, accelerators, sensors, and cloud‑edge architectures.
  • Translate customer business needs into technical requirements and roadmap inputs.
  • Support PoCs, pilots, performance benchmarks, and solution evaluation cycles.
• Ecosystem & Partnership Development
  • Develop partnerships with AI/ML ISVs, analytics companies, OEMs, ODMs, chip vendors, and cloud partners.
  • Represent the company in industry events, partner workshops, and technology forums.
  • Build relationships to accelerate joint GTM and co‑selling opportunities.
• Internal Collaboration & Leadership
  • Collaborate with product management, marketing, engineering, and global BD teams.
  • Provide field intelligence and customer insights to influence product roadmaps.
  • Drive cross‑functional alignment for customer success and market expansion.

Must‑Have Qualifications

• 8–15+ years of Technical Customer facing role / Business Development / OEM engagement experience in:
  • Edge AI or AI/ML platforms
  • Embedded systems / processors
  • Automotive or industrial electronics
  • IoT or edge computing
• Strong understanding of:
  • Edge AI workloads (vision, sensor fusion, speech, predictive analytics)
  • NPUs, GPUs, MCUs/MPUs, SoCs, accelerators
  • Sensors (camera, radar, lidar), connectivity, and device‑to‑cloud systems
  • AI frameworks and pipelines (TensorFlow Lite, ONNX, PyTorch, inference runtimes)

Soft Skills

• Excellent communication, stakeholder management, and executive‑level presentation skill
• Ability to collaborate with technical teams and simplify complex concepts
• Entrepreneurial mindset with ownership and drive

Education

• Bachelor’s degree in Engineering (ECE, EEE, CSE, or related fields)
• MBA is preferred but not mandatory
• Certifications in AI/ML or cloud (AWS/Azure/GCP) are an advantage