Implementation Engineer

Implementation Engineer

Company: Roboflow Location: Remote (USA) Seniority: Mid-level Contract: Permanent

About the Role

Roboflow is seeking motivated Implementation Engineers to partner closely with our sales and solutions architect teams to drive new customer wins. This is a hands-on, technical role where you will have a significant impact on shaping the future of this function within our company. You will be instrumental in ensuring customers understand how to integrate computer vision into their products, building successful relationships, and showcasing the capabilities of the Roboflow platform.

Key Responsibilities

• Support and manage the project delivery of customized computer vision solutions to customers.
• Provide post-deployment support, including troubleshooting, debugging, and educating customers.
• Collaborate with Sales and Solutions Architect teams to ensure continuity across the customer journey.
• Create technical content (e.g., sample apps, documentation, videos) to demonstrate best practices.
• Work with sales and product teams to develop implementation strategies and build roadmaps for customers.
• Partner with customers to analyze image data, answer specific business questions, and identify opportunities for improvement through computer vision.
• Test and validate new product features with a focus on customer value creation.
• Contribute to a repository of reusable artifacts to accelerate customer adoption of Roboflow.
• Work with the wider Roboflow team to improve processes, documentation, and the overall customer experience.
• Assist the product team with customer onboarding, support, adoption, and engineering efforts.

Requirements

• A solution-oriented mindset.
• Strong customer-facing instincts and a technical generalist approach.
• A background in computer science or a related field.
• Technical experience in field roles partnering with enterprise customers in a post-sales delivery and implementation capacity.
• Experience utilizing and writing customized Colab notebooks (Python) as part of the machine learning development lifecycle, with an eagerness to learn more.
• Familiarity with common data processing and computer vision frameworks (e.g., OpenCV, TensorFlow, PyTorch).
• Diligent problem-solving skills with a customer-centric approach and the ability to think on your feet.
• Proven project management experience related to delivery timelines and commitments.
• Strong knowledge of APIs.
• Willingness to travel approximately 25%.
• Proficiency in Python, Machine Learning, Computer Vision, and AI.
• Experience in Sales Engineering is a plus.

What We Offer

• Compensation: Target On-Target Earnings (OTE) of $150,000 - $200,000. Salaries are reviewed every six months to ensure market alignment.
• Travel Stipend: $4,000 per year to travel and work alongside other Roboflowers.
• Productivity Stipend: $350 per month for home office expenses, high-speed internet, or co-working spaces.
• Health Insurance: Up to 100% coverage for you and your partner or family.
• Equity: Company stock options, aligning your success with the company's future.
• Flexible Work Schedule: Primarily US daytime hours with flexibility for asynchronous collaboration.
• Growth Opportunities: As an early hire, you will directly shape the implementation function and partner with leadership.
• Supportive Culture: Join a small, impactful team with "giant brains and tiny egos," supported by leading investors.

Interview Process

The interview process is designed to be efficient and collaborative, typically completed over a few days.

• Before the Interview: Application review, potential technical screen. Demonstrating work with Roboflow or contributions to open-source projects is highly encouraged.
• Introduction Phase: Meet with the hiring manager to discuss mindset, skillset, and mutual fit.
• Team Interview Phase: Technical assessment with a fellow Implementation Engineer, followed by a demo of a project built with Roboflow.
• Final Interview Stage: Culture discussion with the Head of Operations and a meeting with the CEO.

We are committed to building a diverse, global team and encourage applications from candidates of all backgrounds. If this role excites you, we encourage you to apply.