Staff Product Manager

Cognichip; Redwood City (CA); Hybrid; USD 170,000 - 210,000; Full time

Job summary

Cognichip is seeking a Staff Product Manager to lead the end-to-end lifecycle of AI features, translating strategy into concrete roadmaps and collaborating with engineering and applied science to ensure timely delivery.

You will define KPIs, analyze performance, and influence cross-functional teams to achieve go-to-market success while driving AI innovation in silicon design and related domains.

Qualifications

• Master’s in CS, EE, or related field.
• 7+ years as Product Manager in semiconductor/EDA.
• Strong data analysis and metrics-driven decisions.
• Experience with GTM for cloud software.

Responsibilities

• Define & Deliver roadmaps for AI features.
• Establish & analyze KPIs.
• Lead across engineering, applied science, design, and GTM.
• Drive strategic initiatives with market research.
• Champion AI innovation and ethical practices.

Skills

Product management leadership

AI/ML concepts

Data analysis & metrics

Cloud GTM

Semiconductor/EDA domain

Storytelling & communication

Technical acumen

Education

Master's degree in CS/EE

Job description

Job Title

Staff Product Manager

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.

Who You Are

You are an experienced professional at the intersection of AI, semiconductors, and product management. You are a dynamic, self‑motivated leader who can navigate complex go‑to‑market challenges with ease. You're passionate about AI and its potential to drive innovation. You are a collaborative influencer who thrives in cross‑functional teams and unstructured environments. Communication comes naturally to you and engaging your audience is effortless.

What You’ll Do

• 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.

What You Bring

• Master’s 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

Bonus Points

• 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

What It’s Like Here

We’re a rapidly growing, VC‑backed startup where “raw talent and collaborative spirit over ego” isn’t just a motto—it’s how we work every day. You’ll be surrounded by teammates who have built companies from zero to IPO, led teams at Google and Amazon, and earned medals in international science Olympiads. We value relentless curiosity, humble problem‑solving, and a bias toward action.

Logistics

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

Don’t meet every single requirement? Feel over‑qualified? That’s okay – if you’re excited about our mission, we’d still love to hear from you. We are growing fast and need a world‑class team of various experience levels.