Staff Product Manager

About the role

Why this matters: AI is sparking a generational shift in semiconductor design, and visionary product leadership is at the heart of this evolution. At Cognichip, you won’t just prioritize features; you’ll shape how world-class engineers and scientists apply AI technology to accelerate silicon innovations to global markets. This is a generational opportunity to define products that sit at the intersection of deep tech and real-world impact for one of the world’s most impactful industries.

Responsibilities

• Define & Deliver Roadmaps: Drive the end-to-end product lifecycle for complex AI features. Translate high-level strategic direction into detailed roadmaps, prioritize features based on impact and feasibility, and collaborate closely with engineering and applied science teams to ensure timely and high-quality delivery of AI-driven solutions.
• Establish & Analyze Metrics for Success: Define and rigorously track key performance indicators (KPIs) to measure the success and impact of AI-powered features and products. Conduct in-depth data analysis to identify areas for improvement, inform future product decisions, and communicate performance insights to product management executives and other stakeholders.
• Lead Across Functions: Work closely with engineering, applied science, design, UI/UX, and go-to-market teams to ensure alignment and effective execution of product plans. Act as the central information hub and key point of contact for entire product areas, influencing cross-functional teams to achieve go-to-market success.
• Drive Strategic Initiatives: Lead the definition and execution of significant product initiatives aligned with the company's vision and strategic goals. Conduct in-depth market research, competitive analysis, and customer discovery to identify key opportunities and inform high-level product strategy for our AI products.
• Champion AI Innovation: Stay at the forefront of AI/ML advancements and best practices, proactively identifying opportunities to leverage new technologies and methodologies within Cognichip’s products. Drive internal AI product guidelines and advocate for ethical and responsible AI development practices.

Requirements

• Masters in Computer Science, Electrical Engineering, or a closely related field
• 7+ years experience as a Product Manager leading product planning, requirement definition, go-to-market execution, and lifecycle management in the broader semiconductor or EDA space
• Strong Technical Acumen: A solid understanding of fundamental AI/ML concepts, algorithms, and the data science lifecycle. While deep coding expertise isn't required, a grasp of the underlying technology is crucial.
• Proficiency in analyzing data, defining relevant metrics, and drawing actionable insights to inform product decisions. Experience with data visualization tools and techniques.
• Proven track record in go-to-market for cloud-based software products
• Deep understanding of the semiconductor ecosystem, development methodologies, and design workflows
• A passion for storytelling and communication; ability to distill complex technical ideas into clear narratives for both technical and non-technical audiences

Qualifications

• Experience managing cloud-based AI products and services
• Prior experience in physics-informed neural networks, scientific simulations, or logic-based learning
• Hands-on experience with silicon IP products and ecosystems
• Experience building and engaging online technical communities or managing developer relations programs

Skills

• Communication skills
• Collaborative influence
• Data analysis
• Data visualization
• Market research
• Customer discovery
• Product strategy
• AI/ML advancements
• Ethical and responsible AI development practices

Benefits

• Flexible schedule: Four days in our beautiful office, one day remote
• Opportunity to work with a diverse and talented team
• Fast-paced environment with rapid growth
• Competitive compensation package

Pay

• Competitive salary commensurate with experience

Schedule

• Redwood Shores, CA (U.S.)
• Four days in our gorgeous office, one day remote