Strategy & Operations, Founder's Office
San Francisco, CA - USA
Job Summary
Machines learned to understand language. Were teaching them to understand matter.
Forty percent of global manufacturing happens through physical and chemical processes inside pipes tanks and reactors. Despite decades of industrial automation much of what happens inside them remains remarkably invisible. Manufacturing is the most ubiquitous and foundational sector in global economy yet the way factories are fundamentally run have used the same control philosophies manual operations and legacy software for the past 60 years.
Laminar deploys state-of-the-art patented sensors and edge hardware directly into live production environments generating data that didnt previously exist to build foundation models deployed in factory floors that understand chemistry composition quality and material state in real time. We use that understanding to run autonomy and rethink how things are made.
The last generation of industrial automation taught machines to execute instructions reliably. The next will teach them to understand the processes they control and run autonomously adaptively and agentically: higher quality safety more efficiently sustainably and productively.
That future is already taking shape. Today Laminar works with 7 of the worlds 10 largest food and beverage manufacturers and operates across hundreds of factories globally across six continents. Our systems have materially reduced waste cut manufacturing downtime saved water chemicals energy and helped prevent safety and quality failures. Our technology has gained international recognition from being selected as a 2026 World Economic Forum Technology Pioneer Gold 2026 Edison Award Unilever Startup of the Year to Innovator Awards by both Coca-Cola and AB InBev and more.
We are backed by tier-one investors in physical AI to make intelligent self-improving production the new standard for industry.
Join us to build what makes matter intelligible and the intelligible controllable.
Work directly with Laminars founders to decide where we invest and build the capabilities that take us toward $100M in revenue. Youll combine financial judgment with hands-on execution taking important initiatives from an initial idea to a functioning part of the business.
- Turn company priorities into operating plans budgets and hiring decisions grounded in deployment economics
- Build and launch strategic initiatives from an expert-advisory offering to new markets and partnerships
- Develop financial models and performance reporting that guide resource allocation
- Partner with the founders on fundraising strategy investor materials and diligence
- Recruit initial teams and lead initiatives until they have a permanent owner
Experience in startup operations consulting finance or investing with evidence that youve built something and made it work. Youre analytically strong comfortable working across technical and commercial teams and willing to take responsibility through execution.
Build a broad operating mandate with room to lead a function or business as Laminar grows.
- Direct impact on product and culture.
- Comprehensive benefits package including Medical Dental Vision Life Insurance Disability Transportation benefit Health and Wellness benefit and more.
- 401k plan with employer matching
- Equity
- Competitive salary and bonus opportunities.
- Dynamic and inclusive work environment.
- Opportunities for growth and professional development.
- Access to Greentown Labs extensive network of cleantech startups.
- Transportation benefit for your commute
- A team that celebrates together from rooftop lunches ping pong matches Lunch & Learns and regular team events
- Learn about our startup journey:Our Journey
- How were combating climate change:AI-Powered Climate Tech
- Customer story: Unilever uses Laminar precision automation to cut time & water usage
Our Interview Process
Required Experience:
Founder
About Company
There are many easier places to work on AI. Laminar is for people who want the hardest version of their discipline. Models here must survive contact with physics. Hardware must survive years of continuous industrial operation. Software must integrate with machinery built decades ago. ... View more