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Roboflow

SaaS platform for computer vision modeling

Named Technical Support Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time$150k - $200k

About the Job

Requirements

  • At least 7 years of experience with Linux and networking fundamentals, including VPN, SSH, and firewalls.
  • Strong scripting skills in Bash and Python.
  • Ability to diagnose issues across the computer vision and machine learning pipeline, from data and training through workflow and edge inference.
  • Hands-on experience with Nvidia Jetson, Raspberry Pi, webcams, industrial cameras, or other edge devices.
  • Ability to interpret logs, profile inference bottlenecks, and navigate cloud infrastructure.
  • Ability to understand customer environments through questioning and listening.
  • Ability to build trust and operate as a long-term technical partner.
  • Ability to explain technical topics to non-technical stakeholders.
  • Ability to manage sensitive issues calmly, provide structured updates, and follow through reliably.
  • Ability to recognize workflow or tooling improvements and articulate their value.
  • Ability to create content, update runbooks, and contribute to internal and external knowledge bases.
  • Enjoyment of teaching customers and supporting their maturity in using the platform.
  • Ability to surface patterns, propose process and tooling improvements, and support root-cause analysis processes.
  • Generally align with the customer's regional operating hours.

Responsibilities

  • Become the technical continuity for the customer’s computer vision deployment across the region.
  • Build a deep contextual understanding of the customer’s infrastructure, data sources, workflows, and constraints.
  • Serve as Roboflow’s regional representative within the customer’s environment, acting as a trusted advisor, technical guide, and escalation point.
  • Lead brief enablement sessions on topics such as data, annotation, workflow, and deployment best practices.
  • Maintain and evolve a shared customer knowledge base, including runbooks, FAQs, architecture notes, and patterns.
  • Diagnose complex issues spanning edge devices, networking, cloud pipelines, and inference performance.
  • Partner with Product, Field Engineering, and Account Executives to relay customer insights.
  • Identify opportunities that expand adoption of Roboflow technologies.
  • Set clear communication and expectations with customer stakeholders.
  • Participate in Support’s on-call rotation as needed.
  • Learn the customer’s environment and deployment landscape, shadow Support team members, and meet customer technical stakeholders during the first week.
  • Lead an enablement micro-session, establish the customer-specific knowledge base, and own standing technical check-ins within the first month.
  • Operate as the primary technical representative for the region, contribute insights to tooling, product, and support improvements, and improve the customer’s computer vision operations and deployment reliability within six months.

Desired Qualifications

  • Experience with the Roboflow platform.
  • Prior named-account support or Technical Account Manager / DSE experience.
  • A pre-sales, solutions architecture, or consulting background.
  • Ability to articulate technical value as business outcomes.

About the Company

Roboflow

SaaS platform for computer vision modeling

Roboflow provides a cloud platform that streamlines the full computer vision workflow for developers. It lets users upload image and video data, annotate datasets (including model-assisted labeling), apply preprocessing and augmentation, and train models with a single click, then deploy via API or on edge devices. The service uses freemium and subscription pricing with a free public tier and paid plans that add privacy, features, and support, plus usage credits for training, storage, and inference. Its goal is to make computer vision accessible and usable for individual developers and larger teams alike, including many Fortune 100 companies.

Company size
51-200
Company stage
Series B
Total funding
$62.2M
Headquarters
Des Moines, IA
Founded
2020

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