Enterprise Account Executive, CPG

Job Description

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

As our company scales, we are seeking a dedicated Enterprise Account Executive, CPG to join our growing Sales team of business development, Account Executives, Customer Success, and Go-To-Market. This full-time role is ideal for someone who thrives in a fast-paced environment and has passion and experience in selling technology into the CPG market. Reporting to the CRO, you'll play a vital role in developing champions, cultivating deep customer trust, and expanding our footprint through key partnerships.

What You Will Do

• Manage the entire sales process from cold outreach prospecting to close, including accurate pipeline forecasting in Enterprise accounts (household recognizable brands in the CPG space)
• Develop champions, stakeholder mindshare, and trusted relationships at the VP/C-level
• Create and build account specific presentations that articulate Laminar’s value proposition, delivery to the customer.
• Use your industry expertise to discover and help implement new, high-value, use cases that make Laminar’s technology highly sticky in your customer footprint
• Have a passion for technology, strong technical acumen, and speak fluently about current trends related to AI/ML, SaaS, PaaS, IoT, and the industry in general.
• Work closely with the deployment team to deliver pilots, expansions and large global roll-outs.
• Take sole responsibility to remove obstacles in negotiations, deal closure and smooth execution of projects.
• Understand customer needs and bring to the table the ability to measure and articulate value and ROI to a customer for key use cases of Laminar’s technology.

About You

• 4+ years successfully selling in a fast-paced environment, with SaaS, IoT, and/or manufacturing sales specifically in the Enterprise CPG industry (> $6B revenue).Prior employment in or selling to the food and beverage industry is a big plus.
• Proven experience in outbound sales, building champions and negotiating both land and expand deals especially in CPG industry
• Experience in consultative selling of technology into manufacturing, justifying large capex/opex projects to senior leadership.
• Proven track record of quota attainment in an inside sales capacity including cold outreach.
• Excellent written and oral communications skills with a willingness to establish an active social presence on LinkedIn
• Desired: Undergrad degree in Chemical/Mechanical/Electrical/Industrial Engineering, Industrial Engineering, or Science, or MBA Entrepreneurial mindset and passion for getting in on the ground floor at a fast-growing startup.

Benefits

• 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: Unilever uses Laminar precision automation to cut time & water usage 

The Salary Range include OTE.

Uncapped commission.

We also grant equity.

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!), pay ranges established per Pave Compensation Software, and Greentown Labs membership, among other valuable resources. (*subject to change)

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.

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.