At a Glance
- Tasks: Lead product vision and strategy for AI solutions, enhancing user experiences and driving adoption.
- Company: Join NetMind.ai, a pioneer in decentralized AI/ML platforms democratizing access to cutting-edge technology.
- Benefits: Enjoy a dynamic work environment with opportunities for innovation and collaboration across diverse teams.
- Why this job: Shape the future of AI while working on impactful products in a fast-paced, tech-driven culture.
- Qualifications: 2+ years in product management; strong technical background in AI/ML and cloud infrastructure required.
- Other info: Ideal for those passionate about building AI products from scratch and driving customer-centric innovations.
The predicted salary is between 43200 - 72000 £ per year.
At NetMind.ai, we’re building the next-generation AI/ML platform powered by a global decentralized GPU infrastructure. Our mission is to deliver the simplest and most accessible generative AI solutions on the market and democratize access to AI technology globally. Our AI services range from inference model APIs, training and fine-tuning, GPU clusters, agentic workflows, to AI consulting—empowering organizations of all sizes and AI developers to seamlessly adopt AI in diverse industries. If you’re passionate about building 0-to-1 AI products, thrive in fast-moving environments, and can bridge deep technical expertise with customer-driven innovation, join us as we shape the future of decentralized AI computing.
Responsibilities
- You are the primary driver for identifying significant near and long-term opportunities in a large product area, and driving product vision, strategies and roadmaps, ensuring alignment with company goals and the rapidly evolving AI landscape.
- Own the end-to-end customer experience for users building AI-powered applications and using AI services, proactively identifying and addressing customer pain points to increase adoption.
- Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones.
- Stay updated on the latest AI products, trends, technologies, and competitive landscape, and use this knowledge to inform product roadmaps and decision-making.
- Conduct customer interviews, market research, and data analysis to define and validate product success metrics, while tracking adoption, retention, and performance to drive data-driven improvements and optimizations.
- Develop strategies for product launches, customer onboarding, and marketing campaigns in collaboration with leadership, marketing, and business development teams.
- Manage and build partnerships with AI model providers, computing resource providers, and other innovators in the GenAI ecosystem to enhance the platform.
Minimum Qualifications
- 2+ years of product management or related industry experience.
- Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.
- Skilled in full product lifecycle management, from ideation to launch, with experience integrating customer feedback into product requirements, driving prioritization, and managing pre/post-launch execution.
- Good technical understanding of machine learning, large language models, model training, inference, and launching AI experiences.
- Good understanding of cloud infrastructure, services, and architecture, with hands-on experience in cloud product development and deployment.
- Experience working in a technical environment with a broad, cross-functional team to drive product vision, define product requirements, coordinate resources from other groups (design, marketing, etc.), and guide the team through key milestones.
- Experience gathering requirements across diverse areas and users, and converting and developing them into a product solution.
- Proven communication skills with experience delivering technical presentations.
- Experience analyzing complex, large-scale data sets and making decisions based on data.
Preferred Qualifications
- Proven experience leveraging ML/AI to build large-scale consumer products from 0 to 1.
- Strong understanding of Generative AI technologies, including LLMs, RAG, agentic workflows, etc.
- Master’s degree in AI/ML, Computer Science, or a related field.
- Hands-on knowledge of MLOps workflows, model lifecycle management, and scalable inference.
Product Manager - AI employer: NetMind.AI
Contact Detail:
NetMind.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager - AI
✨Tip Number 1
Familiarize yourself with the latest trends in AI and machine learning. This will not only help you understand the competitive landscape but also allow you to speak knowledgeably about how your skills align with the company's mission during interviews.
✨Tip Number 2
Network with professionals in the AI/ML space, especially those who have experience in product management. Engaging in discussions or attending relevant meetups can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've integrated customer feedback into product development. Highlighting your ability to manage the full product lifecycle will demonstrate your fit for the role.
✨Tip Number 4
Showcase your technical understanding of machine learning and cloud infrastructure. Being able to communicate complex concepts clearly will set you apart, especially when collaborating with cross-functional teams.
We think you need these skills to ace Product Manager - AI
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Product Manager - AI position at NetMind.ai. Tailor your application to highlight relevant experiences that align with their mission of democratizing access to AI technology.
Highlight Relevant Experience: In your CV and cover letter, emphasize your product management experience, especially in AI/ML or related fields. Provide specific examples of how you've driven product vision, managed customer experiences, and collaborated with cross-functional teams.
Showcase Technical Skills: Demonstrate your technical understanding of machine learning, cloud infrastructure, and AI technologies in your application. Mention any hands-on experience you have with MLOps workflows or large-scale data analysis, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for building AI products. Discuss how your background aligns with NetMind.ai's goals and how you can contribute to their mission of creating accessible generative AI solutions.
How to prepare for a job interview at NetMind.AI
✨Show Your Passion for AI
Make sure to express your enthusiasm for AI and machine learning during the interview. Share specific examples of projects you've worked on or products you've developed that demonstrate your commitment to advancing AI technology.
✨Demonstrate Technical Knowledge
Be prepared to discuss your technical understanding of machine learning, large language models, and cloud infrastructure. Highlight any hands-on experience you have with these technologies, as it will show that you can bridge the gap between technical expertise and customer-driven innovation.
✨Highlight Customer-Centric Approach
Discuss how you've previously identified customer pain points and integrated feedback into product development. Providing concrete examples of how you've improved user experiences will resonate well with the interviewers.
✨Stay Updated on Industry Trends
Research the latest trends in AI and generative technologies before your interview. Being able to discuss current developments and how they relate to the company's mission will demonstrate your proactive approach and genuine interest in the field.