Forward Deployed Engineer (CPG)- Hiring multiple

Job Description

Job Description

At Laminar, we're leading the charge in physical AI, reshaping process industrials and manufacturing to drive operational efficiency and sustainability for our world’s most foundational industries. Powered by our Laminar AI Co-pilot models and state-of-the-art sensors, our solutions optimize facility performance across various processes, including process manufacturing, production, water management, energy reduction, and waste minimization. Based at Greentown Labs, North America's premier cleantech innovation community, we're a woman-founded startup backed by renowned investors like Greycroft, Construct Capital, 2048 Ventures, and Flybridge Capital. Our groundbreaking technologies have earned accolades and adoption from industry giants like Unilever, The Coca-Cola Company, ABinBev, and Mitsubishi Electric. We're committed to unlocking untapped data for our customers, empowering them to gain a competitive edge and create Industry 4.0.

 

Transforming our most foundational sectors of society is hard. Very hard. But we’re building an empire. And empire building is not easy. It’s deeply fulfilling, and you will learn and grow tremendously while driving sustainable impact globally with some of the largest players that make everything we eat, use, and wear. Our culture is to foster extraordinary growth within our teammates. We believe in autonomy, ownership, empowerment, demanding excellence, being mission-driven. We believe in creativity, authenticity, and extraordinary growth. We’re looking for relentless, ambitious, creative, and exceptional people to join our team and build the factory of the future.

We are seeking a Forward Deployed Engineer (CPG) to ensure the successful deployment of our Laminar technology deployment pilots in the Food and Beverage sector. This role is deeply customer-facing, with the majority of time spent embedded at customer sites driving execution, adoption, and satisfaction. You’ll be the trusted partner to the customer champion, ensuring pilots are completed on time and signed off with confidence.

 

When not with customers, you will strengthen your product expertise with our core teams and work closely with sales to identify and support expansion opportunities. In a nutshell, this role requires technical applications engineering knowledge, sales engineering enthusiasm and project management mindset.

What You Will Do

• Deliver technology overviews, resolve customer queries, and support sales by leading technical discussions with customer teams.
• Guide process engineers on product use, insights, results, and best practices for hardware installation in Food and Beverage plants.
• Collaborate with IT/OT teams on network integration (IP setup, PLC, DMZ, Cloud connectivity).
• Advise quality teams on validation methods, sample size, and testing timelines.
• Drive SAT certificate signoff with positive customer testimonials.
• Travel up to 50%
• Initiate expansion opportunities across pipelines, facilities, and geographies with sales involvement.
• Provide post-implementation support as needed to ensure ongoing success.

About You

• Degree in Chemical Engineering, Industrial Engineering , Mechanical Engineering or a related field.
• Factory floor experience of at least 1 year in manufacturing sectors such as chemicals, food & beverage, brewing, dairy, or pharmaceuticals
• Skilled communicator and presenter, confident leading discussions with customer stakeholders and creating compelling data visualizations .
• Possess a startup mindset — adaptable, hands-on, and focused on delivering meaningful impact.
• Background in process engineering, industrial automation, Industry 4.0, and IT/OT systems .
• Ability to analyze data , with hands-on experience working with sensor and time-series data .

Preferred

• Background in process engineering, industrial automation, Industry 4.0, and IT/OT systems.
• Ability to analyze data, with hands-on experience working with sensor and time-series data.
• Keen eye for data patterns and ability to weave a compelling story with our sensor data including key underlying assumptions
• Familiarity with programming 

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

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 Laminar?

Impact: Work on cutting-edge physical AI and sensor tech that’s already transforming how factories use water, energy, and chemicals. Join a tight-knit, ambitious team where your contributions can reshape the industry.

Growth: Join a fast-growing startup where you’ll have the opportunity to shape our content strategy. We value fostering extraordinary growth in our teammates. 

Innovative Culture: Work in a high-performance environment that values empowerment, creativity, ownership, autonomy, innovation, excellence, passion, and continuous growth.

Sustainability Focus: Play a key role in promoting sustainability and Industry 4.0 advancements in manufacturing.

Build the intelligence layer powering the next generation of industrial efficiency – with a team that moves fast and delivers real impact.

 

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.