Principal Solutions Architect (Pre-Sales & Deployment)
$200k - $250kSan Diego Human Resources Consulting
Help Noble Machines Deploy the Future of Physical AI
Location: Sunnyvale, California (Hybrid) Base Salary: $200,000$250,000+, depending on experience Annual Bonus: 10%15% Benefits: Company-subsidized medical, dental, and vision coverage; generous PTO; 11 paid holidays; and a matching 401(k) plan Relocation: Open to relocation assistance for highly qualified candidates
What if the technology you helped bring to customers didn't just improve efficiency, but fundamentally changed how dangerous work gets done?
Noble Machines is building intelligent robotic systems that perform hazardous and physically demanding work across industries such as construction, mining, manufacturing, and energy. Its mission is ambitious: to make dangerous work optional by deploying the next generation of Physical AI and autonomous robotics.
Noble Machines is seeking an experienced Principal Solutions Architect to become the trusted technical advisor its enterprise customers rely on, from the first discovery meeting through successful deployment and long-term adoption.
If you enjoy solving complex technical challenges, influencing product strategy, and partnering with some of the world's most innovative industrial companies, this is an opportunity to make a lasting impact.
The Opportunity
This is a highly strategic, customer-facing leadership role at the intersection of Engineering, Product, Sales, and Enterprise Customer Success.
As Principal Solutions Architect, you will connect customer needs with Noble Machines' technical capabilities. You will design solutions, lead complex deployments, and ensure customers realize the full value of the company's robotics platform.
You will play a critical role in accelerating enterprise adoption, shaping product direction, and developing scalable deployment practices. As the company grows, this position may also offer the opportunity to help build and lead an Application Engineering team.
What You'll Do
Lead Enterprise Customer Engagements
- Serve as the primary technical advisor for enterprise customers throughout the pre-sales and deployment lifecycle
- Understand customers' operational challenges and design scalable robotics solutions
- Build trusted relationships with technical and executive stakeholders
- Present complex technical concepts clearly to engineering teams and executive audiences
Drive Successful Deployments
- Lead enterprise implementations from solution design through production deployment
- Develop deployment strategies, implementation plans, and technical success criteria
- Identify and mitigate technical risks throughout customer engagements
- Create repeatable deployment methodologies and implementation best practices
Partner Across the Organization
- Collaborate closely with Sales to accelerate technical evaluations and shorten sales cycles
- Partner with Product Management to translate customer feedback into roadmap priorities
- Work alongside Engineering to solve complex deployment challenges and improve platform capabilities
- Help scale customer success through process improvements and technical enablement
Influence Product Strategy
- Capture customer insights that inform future product development
- Recommend improvements that increase platform adoption and customer value
- Help establish Noble Machines as a trusted technology partner in industrial automation and Physical AI
What You'll Bring
Required Qualifications
- Bachelor's degree in Engineering, Computer Science, Robotics, or a related technical discipline
- 10+ years of experience in solutions architecture, application engineering, pre-sales engineering, technical consulting, systems integration, enterprise implementation, or a similar customer-facing technical role
- Demonstrated success leading complex enterprise deployments
- Exceptional communication and presentation skills, with the ability to engage both technical teams and executive leadership
- Experience collaborating across Sales, Engineering, Product, and Customer Success
- Ability to thrive in a fast-paced, high-growth environment
Preferred Qualifications
- Master's degree in a technical field
- Experience with robotics, Physical AI, industrial automation, Edge AI, autonomous systems, or automotive technology
- Computer vision or perception-stack experience
- Background supporting complex enterprise software and hardware deployments
- Experience working with industrial customers in manufacturing, construction, mining, logistics, or energy
- Interest in eventually building and leading an Application Engineering team
What Success Looks Like
Within your first year, you will:
- Lead multiple enterprise customer deployments from discovery through production
- Build trusted relationships that accelerate customer adoption and long-term success
- Shorten technical sales cycles through strategic solution design and technical leadership
- Develop scalable deployment methodologies that support company growth
- Influence product direction by bringing the voice of the customer into product planning
- Become a trusted advisor to customers, executives, and cross-functional teams
Compensation and Benefits
- Base salary of $200,000$250,000+, depending on experience
- Annual performance bonus of 10%15%
- Employer-matching 401(k) plan
- Company-subsidized medical coverage with PPO and HMO options
- Company-subsidized dental and vision coverage
- Coverage options for employees and dependents
- Generous paid time off
- 11 paid holidays
- Hybrid work environment in Sunnyvale, California
- Relocation flexibility for qualified candidates
- Significant visibility and influence across the organization
- Opportunity to work with cutting-edge AI and robotics technology
- Potential to help build and lead an Application Engineering team as the organization grows
Most benefits begin on the first day of the month following the employee's start date and are company-subsidized across all plan tiers, including employee and dependent coverage.
Join Noble Machines
If you're passionate about solving complex technical challenges, partnering with enterprise customers, and deploying groundbreaking AI-powered robotics at scale, we'd love to hear from you.
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