Solutions Architect

Description

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. The company simplifies building and using computer vision models. That includescounting cells (the company's site) to accelerate cancer research, improvingconstruction site safety (the company's site),digitizing floor plans (the company's site),preserving coral reef populations (the company's site),guiding drone flight (the company's site), andmuch more (the company's site).

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.

Responsibilities

• 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 the company’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, the company 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 the company.
• Where You'll Work
• The company 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 (the company's site) (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
• The company 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
• 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 the company. 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 the company or contribute to one of our open source projects (the company's site).
• 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 the company 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[](the company's site)Former Founders (the company's site)role or subscribe to our career newsletter by emailing "Subscribe" to [[email removed]](mailto:[email removed]). 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 (the company's site) that is distributed across the globe. The company 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 the company by reading these blog posts. (the company's site)