招聘
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
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 Po Cs, 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
- 8–15+ 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, So Cs, accelerators
- Sensors (camera, radar, lidar), connectivity, and device-to-cloud systems
- AI frameworks and pipelines (Tensor Flow Lite, ONNX, Py Torch, 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
More information about NXP in India...
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关于NXP Semiconductors
NXP Semiconductors
PublicNXP Semiconductors produces secure connectivity solutions for embedded applications.
10,001+
员工数
Eindhoven
总部位置
$45B
企业估值
评价
3.7
10条评价
工作生活平衡
3.8
薪酬
4.0
企业文化
4.2
职业发展
3.2
管理层
3.0
72%
推荐给朋友
优点
Supportive management and colleagues
Good work-life balance and flexible hours
Innovation and interesting technology projects
缺点
Limited career advancement and training opportunities
Management communication and organization issues
Heavy workload and long hours during deadlines
薪资范围
227个数据点
Junior/L3
L3
Intern
Junior/L3 · Data Scientist
0份报告
$114,000
年薪总额
基本工资
$99,000
股票
-
奖金
$15,000
$96,900
$131,100
面试经验
42次面试
难度
3.1
/ 5
时长
14-28周
录用率
33%
体验
正面 69%
中性 13%
负面 18%
面试流程
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
常见问题
Technical skills
Past experience
Team collaboration
Problem solving
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