Product Engineer, Full Stack

Job Description

Job Description

For a century, the answer to “what’s in the pipe right now” was a grab sample to a lab with results back hours later. We answer it every second. 

Laminar is building human-centric self-driving factories: the ones made of stainless steel pipes and reactors, that make what the world eats, uses, and wears. Proprietary inline sensors read the chemistry in the pipe. Foundation models grounded in physics and chemistry reason about how close the process is to its target. Process control software acts on the answer through the plant’s automation system in real time. Laminar Insights shows what happened, why, and what it saved. 

A Laminar line uses about 20% less water and 20% fewer chemicals and runs 15% faster, with quality protected. Productivity and sustainability improve together. We run across six continents at manufacturers like Coca-Cola, Unilever, and AB InBev, backed by tier-1 investors in Physical AI. 

We’re a polymathic team of 50 in Somerville: hardware and software engineers, chemists, AI researchers, factory operators, and go-to-market wizards under one roof. Nobody here is waiting to be asked what to do. You’ll see the problem, propose the fix, and own the outcome. We believe in autonomy, ownership, and demanding excellence, and we hold each other to it. If that’s how you want to spend your time, come build the self-driving factory with us.

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: -RQU

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.

Learn How We Think

• Learn about our startup journey: Our Journey 

• How we're combating climate change: AI-Powered Climate Tech 

• A customer story: Ben & Jerry's uses H2Ok's precision automation to cut time & water usage 

Our pay ranges are established per Pave Compensation Software. We’re also proud to offer equity in our fast-growing startup and one of the most comprehensive benefits packages among startups at our stage. Laminar pays 100% of the individual health insurance premium for HMO medical, vision, and dental, offers flexible PTO, a $90/month transportation benefit, a $65/month health and wellness benefit, FSA, 12 company-paid holidays, an employer-matching 401(k) (unheard of at this stage!), and Greentown Labs membership, among other valuable resources. (*subject to change)

Why You'll Love it Here

• A front-row seat at Greentown Labs, North America's largest cleantech innovation hub, in a Somerville neighborhood ranked one of the coolest in the world

• Real recognition: 2026 World Economic Forum Technology Pioneer, Gold 2026 Edison Award, Unilever Startup of the Year, Innovator Awards by both Coca-Cola and ABInBev, and more

• A team that celebrates together from rooftop lunches, ping pong matches, Lunch & Learns, and regular team events

• Competitive salary, equity, and a 401(k) with company match

• Health, dental, and vision coverage, plus short- and long-term disability and life insurance

• Flexible time off and 12 company-paid holidays

• A conference and learning budget to keep growing your craft

• Greentown Labs membership and a transportation benefit for your commute

Our Interview Process

1. Phone screen with Laminar Head of Ops or Recruiter (15-20 minutes)

2. Intro call with Hiring Manager (30 minutes)

3. On-site interview, including short tour of GTL, 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

A  recent study from LinkedIn showed that most women apply to jobs only when they meet 100% of the requirements, whereas men will hit the apply button if they hit 60%. Laminar (formerly H2Ok) is committed to building a diverse and inclusive team. So, to the women and nonbinary folks out there feeling unsure if you're 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!

* We recently updated our domain to runlaminar.com. Please ensure you add the runlaminar.com domain to your safe senders list to ensure you receive our communications.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.