Senior Product Manager

• Experience designing software for industrial, scientific instrumentation, or non-destructive testing applications
• Background in or exposure to battery manufacturing, aerospace coatings, or semiconductor materials
• Experience with software deployed in industrial or manufacturing environments
• Willingness to travel to customer sites in North America, the United Kingdom, Europe, and Asia
• Prior experience at an early-stage deep-tech startup

Location: On-Site (San Leandro, CA)

Job Type: Full-Time

Role Overview

SirenOpt is looking for a Senior Product Manager to own the product experience through which our customers understand their materials. This is a customer-obsessed, hands-on product role. You will spend significant time in the field with process engineers, technicians, and quality managers, mapping their workflows in detail, understanding where our product creates value, and translating that understanding into a complete hardware and software experience that is intuitive, reliable, and genuinely delightful to use.

Our software is how customers get their answers. Making it simple, clear, and sticky is the core of this role. You will lead the design of user workflows and interfaces, prototype and test them directly with users, and define the product experience across our standalone and inline offerings. You will work closely with engineering, data science, and commercial teams, and partner directly with the Head of Product on roadmap and product direction.

• Spend substantial time in the field understanding how customers work: their processes, their pain points, and how our product fits into their day-to-day.
• Map user workflows in detail across personas i.e. technician, process engineer, quality manager, and distinguish stated needs from latent ones.
• Build and maintain a deep, structured understanding of user needs that informs every product decision.

• Own the end-to-end software product experience, designed first for non-expert users who need clear, actionable answers without deep metrology, machine learning or software training.
• Use Figma or equivalent tools to personally prototype and test interface concepts and workflows with real users before involving engineering.
• Systematically simplify: reduce the number of steps, parameters, and decisions a user faces, working with engineering to hide or automate complexity that should not be user-facing.
• Define how measurement results and analytics are presented to each persona, communicating confidence and uncertainty in plain language.

• Translate customer and user understanding into clear product definition and feed it into the requirements process owned by engineering through active collaboration.
• Partner with data science and machine learning teams to shape how the analytics layer serves non-expert users, including reducing manual model training as a user-facing step.
• Contribute customer and product insight to the roadmap and product direction led by the Head of Product.
• Prioritize Jira tickets for product workstreams and facilitate planning with engineering, and commercial teams.

Base Pay Range

$155,000—$190,000 USD

Benefits

• Equity and Salary compensation depends on experience
• Health, Dental, Vision plans provided
• 401k matching provided
• Time off: 20 days of PTO per year, plus approximately 15 paid US holidays per year

At SirenOpt®, we are building the manufacturing intelligence layer for advanced materials. We help manufacturers visualize, understand, and control the material behavior that determines yield, performance, and safety across energy, aerospace, automotive, electronics, and semiconductor applications.

We are working on this problem because advanced materials are becoming more critical and more complex, but the tools used to manufacture them have not kept pace. Manufacturers still lack real-time visibility into the small variations that shape quality on the line. We care because those invisible variations cause scrap, waste energy and materials, create higher costs, inconsistent product performance, and introduce avoidable safety risks.

We developed PlasmaSens™, our manufacturing intelligence platform, to close that visibility gap and to lay the foundation for truly autonomous manufacturing.

We are uniquely suited to solve this problem because our expertise and our platform connect material science, plasma physics, machine learning, and manufacturing in one system. The same core technology works in-line, at-line, and off-line, and across form factors ranging from electrodes and wafers to 3D components. That flexibility lets us meet manufacturers where they are and carry insight from the lab into mass production.

We have deployed multiple PlasmaSens products with customers and collaborators across the United States, Japan, Germany, and Taiwan. We pair that real-world experience with support from leading US, European, and Japanese venture investors, the National Science Foundation, the California Energy Commission, and the Department of Energy. Our combination of differentiated technology, manufacturing experience, and global scientific and industry partnerships gives us the foundation to solve material variability at scale.