Job description

Machines learned to understand language. We’re 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 didn’t 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 world’s 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. The Role Laminar Insights is where the plant sees what Laminar did and why. Every Laminar Line streams sub-second telemetry into it: what the sensors saw, what the model decided, and what each run saved in time, water, chemicals, and energy. A factory operator uses it to watch production in progress. A plant manager uses it to defend savings to corporate. An executive uses it to see how their manufacturing footprint is performing. Insights is the platform that makes that telemetry usable. Here’s a short explainer video on Insights: youtube.com We are looking for engineers who understand the bigger picture and work across the stack: frontend, backend, design, and everything in between to create great products that users love – all the way from customers to forward deployed engineers (FDEs). Some broad questions that we are currently thinking deeply about: How does Insights pull narratives and trends out of factory operations data? How should the interface adapt to each facility's processes? How do we represent Laminar's impact at a plant accurately? How can we build internal products that are force multipliers for our FDEs? What You Will Do Collaborate with data science, backend, forward deployed engineering teams to ideate, collect feedback, prototype and productionize solutions on Insights that address challenges our customers are facing. Work with different customer profiles to build Insights functionalities for their personas and ensure end to end delivery and success of features built. Work with engineers, FDEs and leadership to identify friction points and build internal products that help FDEs move quickly, achieve customer goals, and understand the Laminar model stack. Deliver polished user-facing features with scalable UI components that help increase the interpretability of our ML models, add more observability into the processes running in our customers' factories, and more. Write clean, efficient, and well-documented code Always be on the lookout for how to improve application performance by adopting latest innovations in frontend frameworks, optimizing SQL queries, or refactoring backend API calls. About You 1-4 years of experience working with customer-facing products. Strong proficiency in React/Typescript and experience working with modern frontend tooling. Familiarity with Python for data visualizations, rapid prototyping Strong UX sensibilities and enthusiasm about building features that are performant, intuitive, and polished A self-driven, high ownership mentality to first, conceptualize the needs of customers with very different business needs and then, shipping solutions to production. An appreciation for simplicity and pragmatism when building software. Excellent communication skills and ability to work effectively in a collaborative in-person office in Boston. Benefits 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 How We Think Learn about our startup journey: Our Journey How we're combating climate change: AI-Powered Climate Tech A customer story: Unilever uses Laminar precision automation to cut time & water usage 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. Everything we build ultimately has to work on a factory floor. We believe exceptional people should be given exceptional amounts of ownership. At Laminar, you will have the context to form your own view, the permission to challenge ours, and the resources to pursue the right answers, whatever technical or organizational boundaries stand in the way. There are few layers between identifying something important and changing it. We’re fortunate to work with a small polymathic team of hardware and software engineers, chemists, AI researchers, factory operators, and go-to-market wizards who are unusually capable, curious, rigorous, ambitious, and low-ego. If that sounds like you, we’d love to meet you. Our Interview Process 1. Phone screen with Laminar HR/Recruiter (15-20 minutes) 2. Intro call with Hiring Manager (30 minutes) 3. On-site interview, overview of tech, and interview/presentation with the Hiring Manager and a few team members. Depending on the role, a skills exercise that should take no longer than an hour to prep, would be sent ahead of time. We record your skills exercise to share with any team members who could not join the interview and/or with Founder's ahead of their Founder's Interview. If you are not local, we can conduct this virtually. 4. Finalists for Full-Time positions will have a Founder’s Interview in-person Final steps: Two professional references are requested, ideally one from your current organization and one who served as your Manager If an Offer Letter is extended, a Background check is conducted Laminar is committed to building a diverse and inclusive team. Even if you are unsure you are a perfect fit, we strongly encourage you to apply! If you're ready to play a key role in scaling a game-changing company that’s transforming the industrial sector and advancing sustainability, we want to hear from you. * Please ensure you add the runlaminar.com domain to your safe senders list to ensure you receive our communications.

Requirements

Must-haves

Machines learned to understand language. We’re teaching them to understand matter.
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.
Some broad questions that we are currently thinking deeply about:
How does Insights pull narratives and trends out of factory operations data?
How should the interface adapt to each facility's processes?
How do we represent Laminar's impact at a plant accurately?
How can we build internal products that are force multipliers for our FDEs?
Collaborate with data science, backend, forward deployed engineering teams to ideate, collect feedback, prototype and productionize solutions on Insights that address challenges our customers are facing.
Work with different customer profiles to build Insights functionalities for their personas and ensure end to end delivery and success of features built.
Work with engineers, FDEs and leadership to identify friction points and build internal products that help FDEs move quickly, achieve customer goals, and understand the Laminar model stack.
Deliver polished user-facing features with scalable UI components that help increase the interpretability of our ML models, add more observability into the processes running in our customers' factories, and more.
Write clean, efficient, and well-documented code
Always be on the lookout for how to improve application performance by adopting latest innovations in frontend frameworks, optimizing SQL queries, or refactoring backend API calls.
1-4 years of experience working with customer-facing products.
Strong proficiency in React/Typescript and experience working with modern frontend tooling.
Familiarity with Python for data visualizations, rapid prototyping
Strong UX sensibilities and enthusiasm about building features that are performant, intuitive, and polished
A self-driven, high ownership mentality to first, conceptualize the needs of customers with very different business needs and then, shipping solutions to production.
An appreciation for simplicity and pragmatism when building software.
Excellent communication skills and ability to work effectively in a collaborative in-person office in Boston.
Two professional references are requested, ideally one from your current organization and one who served as your Manager
If an Offer Letter is extended, a Background check is conducted
Please ensure you add the runlaminar.com domain to your safe senders list to ensure you receive our communications.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlsqlapireacttypescriptpythongo

Platform: lever
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Wellness

Professional Development