Senior Product Manager - Semiconductor

Develop and refine business cases for new initiatives, considering customer needs, technology trends, market dynamics, ecosystem partnerships, and product differentiation to maximize success potential. * Lead the full product lifecycle process from concept through end-of-life for the product portfolio, ensuring timely preparation and presentation of product requirements, approval gates, and key decision-making milestones.

Lead the full product lifecycle process from concept through end-of-life for the product portfolio, ensuring timely preparation and presentation of product requirements, approval gates, and key decision-making milestones.

Client Details

Our client is a leading technology company specializing in advanced neural networking and AI / semiconductor solutions. The company focuses on developing innovative products designed to enhance edge computing capabilities across various industries. Their offerings aim to improve efficiency, adaptability, and performance in AI-driven applications.

Description

* Lead the full product lifecycle process from concept through end-of-life for the product portfolio, ensuring timely preparation and presentation of product requirements, approval gates, and key decision-making milestones.

* Leverage Agile methodologies to collaborate with engineering teams on the development of neural models, software, and hardware platforms.

* Work closely with business development and technical teams to identify product strategies that align with financial and market success.

* Develop and refine business cases for new initiatives, considering customer needs, technology trends, market dynamics, ecosystem partnerships, and product differentiation to maximize success potential.

* Clearly define, quantify, and communicate the core value propositions of each product.

* Act as the primary product owner throughout the development cycle, providing product goals, prioritization, and support for trade-off decisions.

* Assess opportunities for strategic partnerships with external technology providers to enhance and expand the product portfolio.

* Contribute to relevant industry standardization efforts to inform and shape long-term product strategy

Profile

A successful Senior Product Manager - AI Hardware & Electronics should have:

Education/Experience:· Bachelor's Degree or equivalent in Electrical Engineering, Computer Engineering, or a related field.

MBA or alternative master's degree in management.

· 3-5 years of experience in semiconductor technology, including both technical and business roles.

· Understanding of Edge AI/ML infrastructure, and enterprise markets and ecosystem

· 5-10 years of experience in product management roles, working with cross-functional teams across geographies.

· Deep knowledge of the latest neural network models and relevant industry consortia specifications.

· The position requires a keen focus on Edge AI market trends, customer needs, application architectures, and technology trends.

· Understanding semiconductor AI technologies and help analyze product choices and tradeoffs.

· Excellent communication and presentation skills.

· Proven track record of developing product go-to-market strategies.

Other Skills and Abilities:

· Strong verbal and written communication skills

· Ability to compose routine reports and correspondence.

· Ability to effectively communicate with people of various social, cultural, economic, and educational backgrounds.
· Create processes for successful product development with extended team.

· Strong teamwork and interpersonal skills and analytical skills

· Use of SaaS and AI tools to automate functions

· Use of Agile engineering and planning tools

· Desire to be involved in a diverse and creative work environment.

· Be a self-starter with a mindset for growth and real passion for continuous learning.

Job Offer

• Competitive salary range of $150-200k depending on experience and location.
• Comprehensive benefits: 401k match - 6% match, Fully cover dental / vision , PTO - 3 weeks , 11 paid holidays
• Hybrid Flexibility
• Equity / RSUs- 3 year vesting
• Join a company that has tremendous growth

MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.

Requirements Education & Experience Bachelor's degree (or equivalent) in Electrical Engineering, Computer Engineering, or a related field. MBA or other master's degree in management preferred. 3-5 years of experience in semiconductor technology, spanning both technical and business roles. Understanding of Edge AI/ML infrastructure, enterprise markets, and the broader ecosystem. 5-10 years of product management experience, working with cross-functional teams across multiple geographies. Deep knowledge of the latest neural network models and relevant industry consortium specifications. Strong understanding of Edge AI market trends, customer needs, application architectures, and emerging technology trends. Ability to evaluate semiconductor AI technologies and analyze product choices and tradeoffs. Excellent communication and presentation skills. Proven track record of developing and executing product go-to-market strategies. Other Skills & Abilities Communication Strong verbal and written communication skills. Ability to compose routine reports, presentations, and correspondence. Ability to effectively communicate with individuals from diverse social, cultural, economic, and educational backgrounds. Product Development & Process Management Experience creating processes that enable successful product development across extended teams. Familiarity with Agile engineering and planning tools. Proficiency in using SaaS and AI tools to automate workflows and improve productivity. Collaboration & Leadership Strong teamwork, interpersonal, and analytical skills. Ability to work effectively with cross-functional stakeholders in a global environment. Personal Attributes Desire to contribute within a diverse, innovative, and creative work environment. Self-starter with a growth mindset and a passion for continuous learning and professional development.