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- Tasks: Lead AI product strategy and collaborate on innovative IoT Edge solutions.
- Company: Join Arm, a pioneer in AI and edge computing, shaping the future of technology.
- Benefits: Enjoy hybrid work options, a diverse culture, and opportunities for personal growth.
- Why this job: Be at the forefront of AI innovation, working with talented teams to make an impact.
- Qualifications: 5+ years in AI inference, strong communication skills, and experience with OEMs.
- Other info: Arm values inclusivity and offers accommodations during the recruitment process.
The predicted salary is between 43200 - 72000 £ per year.
IoT Edge AI Product Director (Hiring Immediately)
Are you excited about how the intersection of hardware and software that will unlock the potential for further gains in AI? In this role within the IoT Line of Business you will be leading the AI product strategy and collaborating with cross-functional teams and with lead partners to create a comprehensive solution of ML accelerator hardware, firmware, tools and ecosystem that brings AI inference to the edge.
Arm has revolutionised multiple industries and is now defining the future of AI on edge computing. The IoT Line of Business is rapidly moving inference from being a cloud centric compute, to a distributed local computing experience with all the benefits of reduced latency, privacy and cost this change will deliver.
Job Overview:
In this role within the IoT Line of Business you will be leading the AI product strategy and collaborating with cross-functional teams and with lead partners to create a comprehensive solution of ML accelerator hardware, firmware, tools and ecosystem that brings AI inference to the edge.
Responsibilities:
- Define and implement the IoT Edge AI platform and product strategy making Arm Edge solutions the most accessible and preferred platforms for inference.
- Develop a comprehensive product story, including software, firmware, AI accelerators and tools through close collaboration with the relevant product managers.
- Plan and lead the AI technology roadmap feeding into multiple products.
- Collaborate with engineering teams to define Edge AI products, ensuring they meet market requirements, drive innovation and shape product roadmaps.
- Provide first-line product marketing support to lead customers, including creating and presenting value propositions, collateral, and competitive positioning.
- Lead customer engagements to gather feedback on workloads and features.
Required Skills and Experience:
- Deep understanding of delivering AI inference on edge computing, or cloud platforms.
- Ability to engage with senior executives and engineering teams to align product strategies and objectives.
- Excellent communication and teamwork skills, with the ability to build consensus across teams.
- At least 5 years of proven experience in a related field, working with OEMs, ecosystem partners and engineering teams across all levels up to senior executives.
“Nice To Have” Skills and Experience:
- Experience of AI/ML workloads (model deployment, quantization, acceleration).
- AI accelerator domain experience.
In Return:
With offices around the world, Arm is a diverse organization of dedicated, creative and highly talented engineers. By enabling a dynamic, inclusive, meritocratic, and open workplace, where all our people can grow and succeed, we encourage our people to share their unrivalled contributions to Arm’s success in the global marketplace.
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IoT Edge AI Product Director (Hiring Immediately) employer: Radancy - UK
Contact Detail:
Radancy - UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land IoT Edge AI Product Director (Hiring Immediately)
✨Tip Number 1
Familiarize yourself with the latest trends in AI and edge computing. Understanding how these technologies intersect will help you articulate your vision for the IoT Edge AI platform during discussions with our team.
✨Tip Number 2
Network with professionals in the AI and IoT sectors. Engaging with industry peers can provide insights into current challenges and innovations, which you can leverage to demonstrate your expertise in customer engagements.
✨Tip Number 3
Prepare to discuss your experience with AI inference on edge devices. Be ready to share specific examples of how you've successfully led product strategies or collaborated with engineering teams in previous roles.
✨Tip Number 4
Showcase your communication skills by practicing how to present complex technical concepts clearly. This will be crucial when creating value propositions and engaging with senior executives during the interview process.
We think you need these skills to ace IoT Edge AI Product Director (Hiring Immediately)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the IoT Edge AI Product Director position. Tailor your application to highlight your relevant experience in AI inference and edge computing.
Highlight Relevant Experience: In your CV and cover letter, emphasize your proven experience in AI/ML workloads, product strategy, and collaboration with engineering teams. Use specific examples that demonstrate your ability to engage with senior executives and drive innovation.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for AI and edge computing. Discuss how your vision aligns with Arm's goals and how you can contribute to their success.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no grammatical errors or typos, as attention to detail is crucial in this role. A polished application reflects your professionalism and commitment.
How to prepare for a job interview at Radancy - UK
✨Understand the Intersection of Hardware and Software
Make sure you can articulate how hardware and software work together in AI applications, especially in edge computing. Be prepared to discuss specific examples where you've seen this integration lead to successful outcomes.
✨Showcase Your Experience with AI Inference
Highlight your experience in delivering AI inference on edge computing or cloud platforms. Be ready to discuss your past projects, focusing on the challenges you faced and how you overcame them.
✨Communicate Effectively with Cross-Functional Teams
Demonstrate your ability to collaborate with various teams, including engineering and product management. Share examples of how you've built consensus and aligned product strategies across different stakeholders.
✨Prepare for Customer Engagement Scenarios
Think about how you would lead customer engagements to gather feedback on workloads and features. Prepare to discuss how you would create value propositions and competitive positioning based on customer insights.
