Senior Software Product Manager

We are hiring a Senior Software Product Manager to lead the next chapter of growth for our semiconductor software portfolio, with a primary focus on Fault Detection and Classification (FDC). This is a high-impact role for an AI-first product leader who thrives at the intersection of advanced manufacturing, sensor hardware, and modern B2B software. You will own the product vision, strategy, and roadmap for innovative solutions that solve real, costly problems for our customers on the fab floor — and you will partner closely with our hardware and sensor teams to deliver experiences that no software-only competitor can match.

You bring senior-level product judgment, an energetic and positive mindset, and a relentless focus on customer outcomes. You operate fluently in Agile delivery, ground your thinking in Design Thinking and Lean Startup principles, and treat AI not as a feature but as a foundational capability that reshapes how products are built and how customers extract value.

Job Description

Key Responsibilities 

Product Strategy & Roadmap 

• Own the vision, strategy, and multi-quarter roadmap for one or more software products in the semiconductor FDC space. 

• Drive growth of existing products through innovative, differentiated capabilities — particularly those enabled by AI and machine learning. 

• Define and track product KPIs tied to customer outcomes (yield, uptime, time-to-detection, time-to-root-cause) and business outcomes (ARR, expansion, retention). 

Customer Discovery & Problem Framing 

• Spend significant time with process engineers, equipment engineers, integration engineers, and fab IT to deeply understand workflows, pain points, and unmet needs. 

• Apply Design Thinking to frame problems from the customer's perspective before jumping to solutions. 

• Use Lean Startup methods — hypotheses, MVPs, and validated learning — to de-risk bets and accelerate the path from idea to customer value. 

AI-First Product Development 

• Champion an AI-first approach: identify where AI/ML meaningfully improves detection, classification, prediction, and decision support over traditional rule-based methods. 

• Partner with data science and engineering to scope ML use cases, define data requirements, and design for explainability, trust, and operator adoption in a manufacturing setting. 

• Make pragmatic build/buy/partner decisions across the AI stack. 

Sensor & Hardware Integration 

• Work directly with sensor hardware and instrumentation teams to ensure software products fully leverage upstream signal quality, sampling, and metadata. 

• Influence sensor product roadmaps where software-side requirements (data fidelity, latency, edge processing, protocols) unlock meaningful customer value. 

• Translate hardware capabilities into compelling software value propositions for fab customers. 

Agile Delivery & Execution 

• Operate as the product owner within Agile teams — maintaining a prioritized, outcome-oriented backlog and clear acceptance criteria. 

• Partner with engineering, UX, QA, and DevOps to ship high-quality releases on a predictable cadence. 

• Balance discovery and delivery — keep the team running fast on committed work while continuously validating what comes next. 

Go-to-Market & Cross-Functional Leadership 

• Partner with Sales, Application Engineering, Marketing, and Support to launch features, enable the field, and drive adoption. 

• Serve as the credible product voice with customers, partners, and internal executives — including roadmap reviews and strategic account engagements.