Senior Product Manager, Qualcomm

MLOps, Machine Learning Operations and PaaS Solutions

Salary not provided

Tensorflow

Kubeflow

PyTorch

Senior level

Remote from Canada, US

Data center AI solutions & server products

Job no longer available

Data center AI solutions & server products

1001+ employees

B2BArtificial IntelligenceEnterpriseMachine LearningSaaSCloud Computing

Job no longer available

Salary not provided

Tensorflow

Kubeflow

PyTorch

Senior level

Remote from Canada, US

1001+ employees

B2BArtificial IntelligenceEnterpriseMachine LearningSaaSCloud Computing

Company mission

To deliver intelligent computing everywhere.

Job

Company

Role

Who you are

Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree or MBA preferred
5+ years of product management experience, ideally within the fields of MLOps, AI, or related infrastructure services
Proven track record of successfully defining and launching technical products or services
Experience shipping enterprise products with great user experiences at scale
Strong technical acumen, with the ability to understand and communicate complex technical concepts to diverse audiences
Operational experience of MLOps platforms like MLFlow, Kubeflow or H2O
Development Experience with Deep Learning frameworks like PyTorch or TensorFlow
Experience working in early-stage startups and/or large enterprise environments, with a preference for candidates who have also worked with service providers or ISVs
Excellent analytical, problem-solving, and decision-making skills, combined with strong interpersonal and leadership abilities
Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities with a sense of urgency and attention to detail
Can work effectively in a remote environment

What the job involves

The Senior Product Manager will play a pivotal role in defining the strategic direction and technical design of our innovative MLOps middleware and PaaS product line
Reporting directly to the VP of Product, this individual will be instrumental in shaping the future of AI and machine learning infrastructure services
Lead the end-to-end product lifecycle, from conceptualization to launch and post- launch analysis, for our new MLOps middleware and PaaS solutions
Collaborate closely with engineering teams to define product requirements, prioritize feature development, and ensure technical feasibility
Conduct market research and competitive analysis to identify trends, opportunities, and challenges in the AI and machine learning infrastructure space
Develop and maintain a product roadmap that aligns with the company's strategic objectives and customer needs
Engage with key stakeholders, including customers, partners, and internal teams, to gather feedback and refine product strategies
Work with marketing and sales teams to define go-to-market strategies, positioning, and messaging for the product line
Monitor and evaluate product performance metrics, using insights to drive continuous improvement and innovation

Our take

Qualcomm is best known for its smartphone chips, but its now making a major push into AI infrastructure. The company is developing processors for data centers that can handle demanding AI workloads while us8ing less power than traditional systems.

That focus comes at an important time, as the AI boom is putting huge pressure on data centers, with rising energy costs and growing concerns around efficiency. Qualcomm is trying to solve this problem by building AI hardware that delivers strong performance without the massive power drain.

With years of experience designing efficient chips at scale, Qualcomm believes it can bring a different approach to the AI race. As companies look for cheaper and more sustainable ways to run AI, Qualcomm is in a good position to play a vital part.