Senior Business Development Manager – Edge AI

NXP Semiconductors

. Develop, own, and execute the go‑to‑market (GTM) strategy for Edge AI solutions in India.

Posted 4/3/2026full-timeBangalore • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

CloudIoTPyTorchTensorflow

About the role

Key responsibilities & impact

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.
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.
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.
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.
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.

Requirements

What you’ll need

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)

Benefits

Comp & perks

Bright Minds. Bright Futures.
online and offline learning opportunities

ATS Keywords

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Hard Skills & Tools

Edge AIAI/ML platformsEmbedded systemsAutomotive electronicsIndustrial electronicsIoTEdge computingAI frameworksTensorFlow LitePyTorch

Soft Skills

strategic engagementstakeholder managementrelationship buildingcross-functional collaborationcustomer insightsnegotiationcommunicationleadershipmarket analysispipeline development