Solutions Architect

Spectrum Search; United States; On-site; USD 102,000 - 144,000; Full time

Benefits offered by this job

Equity

Full-time position

Job summary

Spectrum Search is seeking a Solutions Architect to be the primary technical go-to-market partner, scoping opportunities, building proofs of concept, and running technical demos for enterprise customers.

You will work with Account Executives, translate customer problems into platform capabilities, and lead edge computing and cloud deployment discussions across AWS and Azure IoT. Willingness to travel up to 40% and US citizenship/green card required.

Qualifications

• 3–8 years of pre-sales experience as Solutions Architect or similar.
• Ability to communicate complex ML and deployment concepts to technical and executive teams.
• Experience with edge hardware, cameras, and industrial environments is a plus.

Responsibilities

• Visit customer sites to scope computer vision use cases and assess hardware and environmental constraints.
• Collaborate with Account Executives to qualify opportunities and map problems to platform capabilities.
• Build proofs of concept using customer data to demonstrate ROI before deals close.
• Lead technical demos and discuss model training, hyperparameters, and edge deployment with ML teams.
• Draft Statements of Work and coordinate handoffs to delivery teams.
• Travel up to 40% for on-site evaluations.

Skills

Pre-sales

Solutions Architect

Edge computing

Cloud platforms

Technical demos

Travel 40%

Tools

AWS

Azure IoT

Job description

Spectrum Search is partnered with an enterprise-grade artificial intelligence platform empowering over 1,000,000 developers to build production computer vision applications. Backed by $63.6M in total funding, the business streamlines image dataset management, annotation, model training, and edge deployment for enterprise clients, including Fortune 100 manufacturers. This opportunity offers the chance to tackle complex technical visual problems, build custom proofs of concept, and directly drive technical GTM success within a high-ownership environment.

About the opportunity

This organisation develops next-generation developer tooling and infrastructure tailored to complex computer vision workflows. The pre-sales and GTM team is focused on helping enterprise clients connect real-world visual problems from golf ball production lines to fiber optic facilities to market-leading computer vision solutions.

The role

As a Solutions Architect, you will serve as the primary technical go-to-market partner working alongside Account Executives. You will scope opportunities, build tailored proofs of concept, and run technical demos to help enterprise customers transition complex visual problems into production applications.

Key responsibilities

• Visit customer sites to scope out computer vision use cases, evaluating cameras, lighting, edge hardware, and environmental constraints.
• Partner closely with Account Executives to qualify opportunities, map customer problems to platform capabilities, and validate technical feasibility.
• Build quick models and proofs of concept using customer data to demonstrate concrete ROI before deals close.
• Lead technical platform demos and engage credibly with customer ML and data teams on model training, hyperparameters, and edge deployment.
• Author detailed Statements of Work (SOWs) and ensure seamless deal handoffs to delivery and implementation teams.
• 3-8 years of experience in pre-sales as a Solutions Architect, Solutions Engineer, or Sales Engineer.
• Solid understanding of edge computing, hardware deployments, and cloud infrastructure (AWS, Azure IoT).
• Proven ability to communicate complex machine learning and deployment concepts to technical teams and executives alike.
• Willingness to travel up to 40% for on-site client evaluations.
• Must be a US Citizen or Green Card holder (no visa sponsorship provided).

Nice-to-haves

• Experience scoping real-world edge hardware, camera systems, and industrial automation environments.
• Practical background building, training, or deploying computer vision models in production settings.
• Prior experience working within enterprise manufacturing or computer vision domain verticals.

Location and compensation

• Location: Remote (US Central or Eastern Time Zones preferred; St. Louis, MO, or Chicago, IL).
• Compensation: Base salary of $102K - $144K with an OTE of $170K - $240K (60/40 base/variable split with uncapped commissions and accelerators).
• Equity & Benefits: Competitive equity included; full-time position.