[All remote jobs](https://jobicy.com/jobs.md)[![Roboflow logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/06/8cd75e4b-221.webp)](https://jobicy.com/company/roboflow.md)[Roboflow](https://jobicy.com/company/roboflow.md) # Solutions Architect Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/roboflow.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 170k–240k / yrDepartment[Sales](https://jobicy.com/categories/seller.md)EmploymentFull TimeExperienceSeniorPublished1 Nov 2026Apply before1 Dec 2026Listing views42Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Roboflow is seeking a customer-facing Solutions Architect to support pre-sales discovery, opportunity qualification, solution design, demos, and proof-of-concept engagements for its computer-vision platform. The role combines technical depth in edge AI, computer vision, cloud and IoT infrastructure with commercial partnership alongside Sales leadership. The architect will translate customer needs into scalable hardware, software, model-inference, and deployment architectures, while feeding field insight back to Product and Engineering. This is a high-autonomy remote role for a strong technical communicator who can travel approximately 40% and work effectively with enterprise stakeholders. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe position requires deep applied expertise across computer vision, edge deployments, cloud infrastructure, APIs, and customer solution design. It also demands rapid technical judgment during pre-sales cycles, POCs, demonstrations, and executive-facing conversations. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$205,000US market range (per year)$160k–$260k0$286k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The stated target OTE is $170,000–$240,000 USD. The posting does not specify a pay cadence, so yearly compensation is inferred based on the US full-time Solutions Architect context. A reasonable estimated US market range for a senior pre-sales solutions architect with AI and edge-computing specialization is $160,000–$260,000 USD annually in total target compensation. ## Core skills Skills and capabilities most closely associated with this opportunity. [Solutions architecture](https://jobicy.com/jobs?search_keywords=Solutions%20architecture.md)[Pre-sales engineering](https://jobicy.com/jobs?search_keywords=Pre-sales%20engineering.md)[Computer vision](https://jobicy.com/jobs?search_keywords=Computer%20vision.md)[Machine learning](https://jobicy.com/jobs?search_keywords=Machine%20learning.md)[Edge computing](https://jobicy.com/jobs?search_keywords=Edge%20computing.md)[IoT architecture](https://jobicy.com/jobs?search_keywords=IoT%20architecture.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Azure IoT](https://jobicy.com/jobs?search_keywords=Azure%20IoT.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[JavaScript](https://jobicy.com/jobs?search_keywords=JavaScript.md)[OpenCV](https://jobicy.com/jobs?search_keywords=OpenCV.md)[TensorFlow](https://jobicy.com/jobs?search_keywords=TensorFlow.md)[PyTorch](https://jobicy.com/jobs?search_keywords=PyTorch.md)[Technical demonstrations](https://jobicy.com/jobs?search_keywords=Technical%20demonstrations.md)[Proof of concept](https://jobicy.com/jobs?search_keywords=Proof%20of%20concept.md) Sample interview questionsHow would you approach discovery for a customer that wants to deploy computer vision at multiple manufacturing sites?I would first clarify the operational objective, success metrics, camera and network environment, data availability, site constraints, security requirements, and rollout timeline. I would then propose a phased architecture and pilot plan that validates model performance, edge hardware, integration points, monitoring, and repeatable deployment processes before scaling across sites. What factors determine whether model inference should run at the edge, in the cloud, or in a hybrid architecture? I would assess latency requirements, bandwidth and connectivity reliability, privacy and data-residency needs, inference volume, hardware availability, cost, and maintainability. Edge inference is generally preferable for low-latency or constrained environments, while cloud services can support centralized processing, retraining, analytics, and fleet management. How would you run a proof of concept for a computer-vision prospect? I would align upfront on a narrowly scoped use case, representative data, technical assumptions, timeline, owners, and measurable acceptance criteria. During the POC, I would configure the environment, validate data and model quality, test deployment constraints, document results, and conclude with a clear production recommendation and next-step plan. How do you explain a complex computer-vision architecture to non-technical business stakeholders? I start with the business outcome, such as reducing manual inspection time or improving safety detection, and use plain language to explain the workflow from camera input to actionable result. I then connect technical choices to concrete concerns such as reliability, rollout speed, security, operating cost, and measurable ROI. Describe how you would handle a prospect whose requested integration or deployment feature is not currently supported. I would acknowledge the requirement, investigate the underlying business need, and distinguish between a workaround, a viable custom integration, and a genuine product gap. I would set accurate expectations with the customer, collaborate with Product and Engineering on feasibility and priority, and maintain momentum by proposing the most practical path to value. Opportunity details ## About this role. ### Who We Are Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too. We’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow’s machine learning open source and hosted tools. That includes[counting cells](https://blog.roboflow.com/cancer-research-computer-vision/) to accelerate cancer research, improving[construction site safety](https://blog.roboflow.com/preventing-accidents-on-construction-sites-with-computer-vision/),[digitizing floor plans](https://blog.roboflow.com/floor-plan-analysis-computer-vision/),[preserving coral reef populations](https://blog.roboflow.com/reefos-supercharging-coral-reef-restoration-with-ai/),[guiding drone flight](https://blog.roboflow.com/georeferencing-drone-videos/), and[much more](https://roboflow.com/templates). Roboflow is supported by great customers and investors, having raised over 63 million from Y Combinator, Google Ventures, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors. Roboflowers are passionate builders who value ownership, accountability, and a bias toward action. We’re curious, hands-on with new tech, and prefer showing our work over talking about it. Many of us have a founder mindset and thrive in our high-autonomy environment. ### What You’ll Do: As a highly skilled and customer-focused Solutions Architect, you will play a critical role in working alongside our sales team to engage prospects, qualify opportunities, and design edge-based computer vision solutions. As the primary technical resource in the pre-sales phase, the Solutions Architect will help identify prospective client needs, define technical requirements, and create compelling, scalable solutions that leverage our cutting-edge computer vision platform. Role and Responsibilities: * Opportunity Qualification: Collaborate with sales representatives to assess the technical feasibility and compatibility of potential projects with our computer vision solutions. Act as a trusted advisor to clients, understanding their business objectives, technical constraints, and use cases. * Solution Design: Design tailored solutions that meet customer requirements by selecting and integrating appropriate components across hardware, software, and edge deployment configurations. Ensure that solutions are scalable, secure, and aligned with industry best practices for computer vision. * Technical Expertise: Maintain an in-depth knowledge of our computer vision platform, including its technical specifications, deployment methodologies, and customization options. Provide guidance on edge deployments, data handling, model inference, and integrations with client infrastructure. * Demo and Proof of Concept (POC): Lead technical demonstrations and POCs to showcase product capabilities and benefits. This includes configuring demo environments, guiding clients through the technology, and troubleshooting any technical issues. * Customer Engagement: Act as a primary point of contact for technical discussions, addressing client inquiries about the product’s architecture, APIs, security, scalability, and deployment scenarios. * Collaboration: Work closely with Product and Engineering teams to provide customer feedback, identify product improvements, and advocate for features that would enhance our solution’s ability to meet client needs. The Skillset You’ll Bring: * Experience in solutions architecture, technical sales engineering, or related role, preferably in a computer vision, AI, or IoT-focused company. * Industry experience working directly in or with one or more of Roboflow’s target markets, including but not limited to manufacturing, automotive, logistics, food processing, retail * Expertise in designing edge-based solutions and understanding of the unique constraints and challenges associated with edge computing. * Excellent communication and presentation skills with the ability to translate complex technical concepts into clear, business-oriented solutions for non-technical stakeholders. * Strong knowledge of computer vision, machine learning, and associated technologies. * Experience with cloud and edge infrastructure, ideally including AWS, Azure IoT, or other edge platforms. * Proficiency in scripting or programming languages like Python and JavaScript * Willingness to travel ~40% Preferred Attributes: * Experience working within a pre-sales or go-to-market team. * Familiarity with common data processing and computer vision frameworks (e.g., OpenCV, TensorFlow, PyTorch). * Strong problem-solving skills with a customer-centric approach and the ability to think on your feet. ### Who You’ll Be Working With Our team of ~120 attracts talent like executives that wanted to return to building, founders with a 100M+ exit, Roboflow users turned team members, open source contributors, a cyclist who biked across the United States, prolific high school hackers, a CTO from 100+ engineering organization, amongst many exceptional others. As a Solutions Architect hire, you’ll be partnering directly with our co-founder/CEO and Sales leadership to not only do great work in the role, but shape how this function works for the future of Roboflow. ### Where You’ll Work Roboflow is distributed across the US and Europe. We currently have Hubs in New York City, San Francisco and São Paulo (with plans to open more as we grow density in new cities). We provide opportunities (like team onsites in different cities) and [resources](https://blog.roboflow.com/how-we-work-together-at-roboflow/) (like a $4000/yr travel stipend) to work in person with other team members as much as you’d like, while also supporting remote team members. You can work from one of our Hubs (we offer a relocation bonus), work from home, work at co-working spaces, etc. We want you to work where you work best! ### When You’ll Work Roboflow primarily operates during the daytime hours in the US and there are some synchronous meetings you’ll be expected to attend each week. Apart from that, we have a flexible schedule that allows you to work collaboratively with other team members and asynchronously when needed. ### What You’ll Receive To determine your salary, we use a number of market and data-driven salary sources. We review all salaries every six months to ensure we stay in line with the market. 💰 The target OTE for this role is $170,000-$240,000 📈 In addition to our cash compensation, we offer generous perks and benefits. Below are some of the highlights: * $4000/yr Travel Stipend to travel anywhere anytime to work alongside other Roboflowers * $350/mo Productivity stipend to spend on things that make your work environment more productive, like high-speed internet at home or a co-working space * $350/mo AI Tools * $150/mo Team lunch * $500/one time Home office * Cover up to 100% of your health insurance costs for you and your partner or family * Equity in the company so we are all invested in the future of computer vision ### Interview Process (~5 hours) Below is the interview process you can expect for this role. We are all motivated to work with an exceptional team, who you’ll be speaking directly with about what it’s like to work and thrive at Roboflow. We like to be decisive and work fast, so don’t be surprised if all the below conversations happen over a few days. Before the Interview: * We’ll review your application, LinkedIn, Github, etc. * The best way to stand out is to write about something you’ve built with Roboflow or contribute to one of [our open source projects](https://roboflow.com/open-source). * We may send you a technical screen if applicable. Introduction Phase: * [45m] Meet with hiring manager to assess for overall mindset and skillset Team Interview Phase: * [60m] Technical Assessment – meet with fellow implementation Engineer * [30m] Demo – build a project with Roboflow and share your work Final Interview Stage: * [30m] Meet with Head of Operations, for a culture discussion * [30m] Meet with Joseph Nelson, CEO Note: you are welcome to request additional conversations with anyone you would like to meet and we will accommodate as best we can. ### Not sure if this is you? We want a diverse, global team with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, look into our[Former Founders](https://app.dover.com/apply/Roboflow/26d4ab31-e73d-47c8-9c25-ead170b5ac12/?rs=76643084)role or subscribe to our career newsletter by emailing “Subscribe” to [operations@roboflow.com](mailto:operations@roboflow.com). We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time. ### Learn More About Us We are building a diverse [Distributed team](https://blog.roboflow.com/how-we-work-together-at-roboflow/) that is distributed across the globe. Roboflow is an equal opportunity workplace; we welcome people from all backgrounds, communities, and experiences. We provide competitive compensation and stellar benefits to accelerate your personal and work life. Learn more about what it is like to work at Roboflow by reading [these blog posts.](https://blog.roboflow.com/tag/working-at-roboflow/) ### Equal Employment Opportunity At Roboflow, we believe great ideas come from everywhere—and everyone. We’re proud to be an Equal Opportunity Employer committed to building a diverse and inclusive team. We consider all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any other legally protected characteristics. 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