Business Development Manager – Robotics & Edge AI
At a glance
Mid-level Business Development role at Nxp. 2 Locations · full-time.
Pay not stated
growthroles summary, based on the employer's posting.
What you'll do
- Build and run India’s go-to-market plan for Edge AI hardware, software, and complete solutions
- Find opportunities across automotive, industrial, robotics, smart city, retail, healthcare, and public-sector accounts
- Move OEM, Tier-1, cloud, ISV, integrator, and device-maker deals from initial outreach through signed closure
- Explain Edge AI platforms, including processors, accelerators, sensors, and cloud-edge designs, to customer stakeholders
- Create partnerships and joint selling motions with AI/ML ISVs, analytics firms, OEMs, ODMs, chip vendors, and cloud partners
What you bring
- At least eight years in technical customer-facing work, business development, or OEM engagement across the listed technology areas
- Strong working knowledge of Edge AI workloads, processors, sensors, connectivity, device-to-cloud systems, and AI frameworks
- A bachelor’s degree in engineering, specifically ECE, EEE, CSE, or a related discipline
- Clear executive communication, stakeholder management, and the ability to make complex technical ideas understandable
Who this fits
You’ll suit a senior India-focused business development role combining technical Edge AI fluency, customer engagement, and ecosystem building. The work fits someone comfortable with executive conversations, customer-specific proposals, pilots, negotiations, and cross-functional coordination. An MBA is optional, while AI/ML or cloud certifications are advantageous.
From the employer
Role Summary
We are seeking an experienced and highly driven Business Development Manager (BDM) –Robotics & 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
1. 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.
2. 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.
3. 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.
4. 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.
5. 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
- 8–12+ 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
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