Business Development Manager – Robotics & Edge AI

Role overview

Market and customer development

• Develop and execute the India go-to-market strategy; identify opportunities across automotive, industrial, robotics, smart city, retail, healthcare, and public-sector domains.
• Build the opportunity pipeline, deliver quarterly growth, and conduct competitive analysis, pricing intelligence, and market positioning.
• Engage OEMs, Tier-1s, cloud providers, ISVs, system integrators, and device manufacturers; lead senior-stakeholder discussions.
• Own the deal lifecycle from prospecting through negotiation and closure; work with architects and engineers on customer proposals.

Solution and ecosystem development

• Explain Edge AI platforms, including CPUs, MCUs, NPUs, accelerators, sensors, and cloud-edge architectures.
• Translate customer business needs into technical requirements and roadmap inputs; support proofs of concept, pilots, benchmarks, and evaluations.
• Develop partnerships with AI/ML ISVs, analytics companies, OEMs, ODMs, chip vendors, and cloud partners.
• Represent the company at industry events and partner workshops; build joint go-to-market and co-selling opportunities.
• Collaborate with product, marketing, engineering, and global business-development teams; share market insights and drive cross-functional alignment.

Must-have qualifications

• 8–12+ years in a technical customer-facing, business-development, or OEM-engagement role 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 such as vision, sensor fusion, speech, and predictive analytics; NPUs, GPUs, MCUs/MPUs, SoCs, and accelerators.
• Strong understanding of camera, radar, and lidar sensors, connectivity, and device-to-cloud systems.
• Strong understanding of AI frameworks and pipelines, including TensorFlow Lite, ONNX, PyTorch, and inference runtimes.
• Excellent communication, stakeholder management, and executive-presentation skills; able to simplify complex concepts and collaborate with technical teams.
• Entrepreneurial mindset, ownership, and drive.
• Bachelor's degree in Engineering, such as ECE, EEE, CSE, or a related field.

Preferred qualifications

• An MBA is preferred but not mandatory.
• AI/ML or AWS, Azure, or GCP certifications are an advantage.