Solutions Architect

Recruiting From Scratch • San Francisco, CA

10d • Remote

About The Position

As a Solutions Architect, you'll work at the intersection of technical sales, computer vision, enterprise software, and customer implementation. You'll partner directly with Account Executives and enterprise customers to understand complex technical problems, scope solutions, build proof-of-concepts, demonstrate the platform, and help customers move from initial discovery to production deployment. This is an opportunity for a technically strong, customer-facing engineer who enjoys solving ambiguous problems, working directly with enterprise customers, and translating complex AI technologies into practical business solutions.

Requirements

• 3–8 years of experience in Solutions Architecture, Solutions Engineering, Sales Engineering, or technical pre-sales
• Experience partnering with Account Executives on enterprise sales opportunities
• Experience supporting technical discovery, demos, scoping, and proof-of-concepts
• Experience working with enterprise customers
• Experience translating business requirements into technical solutions
• Experience building technical prototypes or proof-of-concepts
• Experience operating in fast-paced startup or high-growth environments
• Experience communicating with technical and non-technical stakeholders
• Strong customer-facing communication skills
• Experience supporting complex enterprise deployments
• Ability to manage multiple technical sales opportunities simultaneously
• Strong ownership mentality and execution ability
• Comfortable operating independently with limited structure
• Strong problem-solving and analytical skills
• Willingness to travel approximately 40% for customer engagements
• Strong programming experience in Python, JavaScript, or similar languages
• Strong understanding of software engineering fundamentals
• Experience working with APIs and technical integrations
• Familiarity with computer vision concepts and workflows
• Familiarity with OpenCV, TensorFlow, PyTorch, or similar frameworks
• Understanding of machine learning model development and deployment
• Ability to build technical prototypes and customer-specific solutions
• Experience working with cloud infrastructure
• Familiarity with AWS, Azure IoT, or comparable cloud and edge platforms
• Understanding of edge computing and deployment environments preferred
• Ability to discuss model training and hyperparameter optimization
• Understanding of technical architecture and deployment tradeoffs
• Ability to troubleshoot technical integrations
• Strong technical presentation and demonstration skills
• Ability to communicate technical concepts clearly to non-technical audiences
• Experience working with enterprise APIs and integrations
• Ability to understand customer infrastructure and technical constraints
• Strong ability to learn new technical platforms quickly
• Bachelor's degree in Computer Science, Engineering, or related technical field preferred
• Equivalent technical and professional experience accepted
• Exceptional communication and presentation skills
• Highly motivated and driven
• Coachable and receptive to feedback
• Low-ego collaborative mentality
• Strong customer empathy
• Comfortable working directly with enterprise customers
• Ability to translate complex technical concepts into business-oriented solutions
• Strong executive and stakeholder communication skills
• Comfortable operating in ambiguous environments
• Strong ownership and accountability
• High execution velocity
• Strong problem-solving ability
• Curious and eager to learn
• Adaptable in fast-moving environments
• Comfortable balancing technical and commercial considerations
• Strong teamwork and collaboration skills
• Comfortable challenging assumptions and proposing better solutions
• Able to build credibility with technical audiences
• Comfortable presenting to both engineers and business leaders
• Strong organizational and project management skills
• Comfortable managing multiple customer engagements
• Willing to travel approximately 40%
• Comfortable working remotely and collaborating across distributed teams

Nice To Haves

• Understanding of edge computing and deployment environments

Responsibilities

• Partner with Account Executives throughout enterprise sales cycles
• Lead technical discovery conversations with enterprise customers
• Understand customer workflows, technical environments, and business requirements
• Identify and scope computer vision use cases across complex physical environments
• Visit customer sites to understand cameras, lighting, edge hardware, and environmental constraints
• Translate customer problems into technically feasible AI and computer vision solutions
• Evaluate technical feasibility of potential deployments
• Build proof-of-concepts using customer data
• Develop quick models and prototypes to demonstrate technical value
• Run technical demonstrations for enterprise customers
• Explain computer vision concepts to ML, data science, engineering, and technical teams
• Discuss model training, hyperparameters, deployment, and performance tradeoffs
• Work with customers on technical architecture and deployment strategies
• Help customers evaluate cloud and edge deployment options
• Scope integrations with customer infrastructure and existing systems
• Author statements of work and technical delivery requirements
• Define project scope, technical requirements, and implementation expectations
• Partner with delivery and implementation teams during customer handoff
• Collaborate with Account Executives to qualify opportunities and prioritize technical work
• Support enterprise proof-of-concepts through successful completion
• Build solutions that go beyond standard platform capabilities when required
• Troubleshoot technical challenges during customer engagements
• Communicate technical risks, requirements, and tradeoffs clearly
• Work closely with product and engineering teams to relay customer feedback
• Help shape technical go-to-market strategies and customer solution patterns
• Operate independently across multiple customer opportunities
• Travel to customer locations approximately 40% of the time
• Work directly with enterprise customers across complex industrial and commercial environments
• Continuously learn new computer vision, AI, cloud, and edge technologies
• Balance technical depth with strong commercial and customer-facing instincts

Benefits

• Base Salary: $102,000 – $144,000
• OTE: $170,000 – $240,000
• 60/40 base-to-variable compensation structure
• Uncapped commission accelerators
• Competitive equity package
• Opportunity to work with Fortune 100 and enterprise customers
• Exposure to cutting-edge computer vision and AI technologies
• Opportunity to build customer-facing AI solutions from discovery through deployment
• Remote-first work environment
• Opportunity to work directly with sales and technical leadership
• High ownership and autonomy
• Opportunity to influence technical go-to-market strategy
• Work across manufacturing, healthcare, logistics, automotive, and other industries

What This Job Offers

• Job Type: Full-time
• Career Level: Senior