Sales Manager (US) at Gauss Labs

Palo Alto, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, ManufacturingIndustries

Requirements

Bachelor’s degree in Business, Engineering, Computer Science, or a related technical field
Total 9+ years of experience with minimum 5 years of B2B enterprise software sales experience, with a significant portion dedicated to selling to or working with customers in manufacturing industry, preferably in semiconductor, display, or similar precision high-tech sectors
Demonstrated ability to comprehend and articulate complex technical concepts, especially around AI, Machine Learning (ML), or Data Analytics solutions, to both working and executive level audiences
Proven track record of successfully managing and closing complex, long-cycle sales spanning from cold-start lead generation through to final contract signing
Proven ability to act as a liaison for projects such as POCs or Pilots involving external customers and internal tech teams
Willingness to travel across North America and occasionally overseas to meet customers, and must be based near or willing to relocate to Palo Alto, CA
Preferred Qualifications
Direct experience selling AI/ML software solutions into factory environments
Existing network and deep understanding of the semiconductor manufacturing ecosystem, including knowledge of fab operations, pain points for process engineers, and typical IT infrastructure
Experience working in a startup or early-stage growth company, where building processes from scratch was a key part of the role

Responsibilities

Proactively source, qualify, and cultivate new sales opportunities
Craft and deliver compelling sales pitch and product demonstrations, effectively translating complex AI/ML capabilities into clear business value for technical and non-technical customers
Identify prospective customers’ core pain points and articulate how our solutions address them
Lead discussions and negotiations for multi-stage evaluation contracts including POC and Pilot projects, defining scope, timeline, success criteria and commercial terms
Act as the overall project manager and customer main point-of-contact for evaluation projects, ensuring seamless coordination between the customer and internal teams, and successful transition from evaluation to a commercial license
Secure the final software license agreement and successfully transition the established client relationship to a dedicated account manager for long-term growth
Design, implement, and continuously refine a scalable sales process, operational workflow, and documentation standards for Gauss Labs’s sales cycle
Develop core sales materials, playbooks, customer case studies, and internal training to accelerate the sales team’s effectiveness as the company scales

Skills

Key technologies and capabilities for this role

Enterprise SalesLead GenerationProduct DemonstrationAI/MLSemiconductor ManufacturingProject ManagementContract NegotiationPOCPilot ProjectsSales Process Design

Questions & Answers

Common questions about this position

What qualifications are required for the Sales Manager position?

Candidates need a Bachelor’s degree in Business, Engineering, Computer Science, or a related technical field, plus 9+ years of total experience with at least 5 years in B2B enterprise software sales, including significant time selling to or working with manufacturing industry customers, preferably in semiconductor or similar precision high-tech sectors.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this Sales Manager role remote or based in a specific location?

This information is not specified in the job description.

What key skills are needed to succeed in this position?

The role requires deep manufacturing domain knowledge, technical fluency in AI/ML, exceptional enterprise sales acumen, and robust project management skills.

What does the company culture or team structure look like at Gauss Labs?

Gauss Labs is an industrial AI startup with collaborative teams based in Palo Alto (headquarters), Seoul, and Vancouver, emphasizing a unique combination of deep manufacturing domain knowledge, cutting-edge AI expertise, and advanced software development.

Gauss Labs

AI solutions for semiconductor manufacturing efficiency

About Gauss Labs

Gauss Labs develops AI solutions specifically for the semiconductor manufacturing industry. Their technology focuses on process monitoring and optimization, utilizing machine-generated data to enhance factory intelligence and efficiency. By improving production quality and reducing downtime, Gauss Labs helps semiconductor manufacturers operate more effectively. Unlike many competitors, Gauss Labs tailors its AI infrastructure and software products to meet the unique needs of the manufacturing sector. The company's goal is to transform manufacturing processes through advanced AI, making factories smarter and more efficient.

California City, CaliforniaHeadquarters

2020Year Founded

$53.5MTotal Funding

LATE_VCCompany Stage

Industrial & Manufacturing, AI & Machine LearningIndustries

51-200Employees

Benefits

Competitive compensation + meaningful equity

Generous PTO policy

Comprehensive wellbeing benefits

Paid family leaves

L&D opportunities

Additional benefits unique to each site

Risks

Increased competition from established AI companies like Siemens and GE.

Potential over-reliance on SK hynix as a major client.

Rapid technological advancements could lead to obsolescence if innovation lags.

Differentiation

Gauss Labs specializes in AI solutions for semiconductor manufacturing, a niche market.

Their Panoptes VM 2.0 offers real-time, all-wafer measurement data, enhancing process efficiency.

The leadership team has deep expertise in AI, with experience from companies like Skytree.

Upsides

AI-driven predictive maintenance is gaining traction, aligning with Gauss Labs' focus.

AI-based virtual metrology adoption is increasing, benefiting Gauss Labs' Panoptes VM.

Demand for AI solutions in semiconductor manufacturing is expected to grow at 40% CAGR.

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