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Solutions ArchitectRoboflow • New York, New York, United States
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Solutions Architect

Roboflow
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

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 to accelerate cancer research, improving construction site safety, digitizing floor plans, preserving coral reef populations, guiding drone flight, and much more. Roboflow is supported by great customers and investors, having raised over 63 million from Y Combinator, Google Ventures, Craft Ventures, Sam Altman, Lachy Groom, among 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 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 ~70 attracts talent like executives who want 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 a 100+ engineering organization, among many exceptional others. As an early 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—such as team onsite in different cities—and resources (like a $4,000/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 daytime hours in the US and we have 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 $150,000‑$200,000. In addition to our cash compensation, we offer generous perks and benefits: $4,000/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. 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) 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. We may send you a technical screen if applicable. Introduction Phase [45 min] Meet with hiring manager, Jim Duffy, to assess overall mindset and skillset. This first interview is a time to get to know more about the role, allow us to get to know you better, and ensure it’s a good fit for both parties to continue moving forward in the process. Team Interview Phase [60 min] Technical assessment – meet with fellow implementation engineer. [30 min] Demo – build a project with Roboflow and share your work with Jim Duffy, hiring manager, and Jeremy Powers, Head of Sales. Final Interview Stage [30 min] Meet with Kate Wagner, Head of Operations, for a culture discussion. [30 min] 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. 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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  • New York, New York, United States

Compétences linguistiques

  • English
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