Job Description

　　Cnvrg.io (an Intel company) is an AI company, transforming the way data scientists and developers build and deploy machine learning models at scale. The platform serves leading AI brands to ship models fast - from innovative startups to Fortune 500 organizations. We are now expanding and building our next-gen multi-cloud platform with AI services focused on Gen AI solutions like LLMs. we are seeking an experienced Senior Product Manager to lead our product strategy and development efforts in this exciting space.

　　Key Responsibilities:

　　-Develop and execute a comprehensive product strategy that aligns with the company's vision and objectives, focusing on cloud platform and machine learning-based solutions.

　　-Define and prioritize the product roadmap, ensuring that it meets customer needs, market demands, and business goals.

　　-Collaborate closely with cross-functional teams, including engineering, design, data science, and sales, to deliver high-quality products on time and within budget.

　　-Conduct in-depth market analysis to identify trends, opportunities, and competitive threats, providing insights that inform product decisions.

　　-Utilize your deep knowledge of cloud platforms and services (e.g., AWS, Azure, Google Cloud) to architect and optimize cloud-based solutions.

　　-Leverage your experience with machine learning-based products to guide the development of AI-driven solutions, from ideation to deployment.

　　-Maintain a customer-centric approach by gathering feedback, understanding user needs, and translating them into product requirements.

　　-Manage the entire product lifecycle, from concept to launch, and beyond, ensuring ongoing product success and improvement.

　　-Provide mentorship and leadership to junior product managers and contribute to the growth of the product management team.

　　Qualifications

　　- Minimum 10 years of product management experience in enterprise and startup environments.

　　- Strong technical background with hands-on experience in software development.

　　- Bachelor's degree in a related field (MBA preferred).

　　- Strong background in Kubernetes, service deployment

　　- Proven expertise in developing and launching machine learning-based products and solutions.

　　- Knowledge in ML/AI resource management and orchestration - Advantage

　　- Exceptional analytical and problem-solving skills, with a data-driven approach to decision-making.

　　- Excellent communication and interpersonal skills, with the ability to collaborate effectively across diverse teams.

　　- Strategic thinking with a focus on driving business growth and innovation.

　　- Leadership and mentoring experience - a plus.

　　Inside this Business Group

　　Enable amazing computing experiences with Intel Software continues to shape the way people think about computing - across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.

　　Posting Statement

　　All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

　　Benefits

　　We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

　　Working Model

　　This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.