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Roboflow

SaaS platform for computer vision modeling

GTM Systems Engineer

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years of experience building on Salesforce in a technical administrator or developer capacity.
  • At least 5 years of experience supporting Sales, Revenue Operations, or go-to-market teams.
  • Working knowledge of Salesforce, Apex, Lightning Web Components, and Salesforce integrations.
  • Experience testing and deploying solutions, ideally with source tracking and the Salesforce Metadata API.
  • Experience implementing automation, custom objects, and non-trivial business logic.
  • Working knowledge of SQL and experience with a data warehouse such as BigQuery, Snowflake, or similar.
  • Practical understanding of go-to-market concepts, including product catalogs, pipeline, forecasting, territories, renewals, expansion, and compensation planning and administration.
  • Experience working across go-to-market tools, including communication platforms, enrichment platforms, quoting tools, contract lifecycle management tools, and e-signature platforms.
  • Hands-on experience building or integrating large language model workflows and building with artificial intelligence coding agents.

Responsibilities

  • Build and extend Salesforce functionality using Apex, Lightning Web Components, Flows, and custom objects, turning Revenue Operations designs into working, tested, source-controlled systems.
  • Implement sales data models for account hierarchies and site-level data, product catalog and packaging, territory and coverage assignment, and account handoffs between sales teams.
  • Build forecasting inputs and enforcement, including stage exit criteria and stage gates, forecast categories, pipeline snapshots, and field history for tracking forecast accuracy over time.
  • Partner with data engineering on programmatic business intelligence using SQL and BigQuery, code-defined dashboards on Salesforce data, and native Salesforce reports, templates, and folder and permission structures for end users.
  • Own data quality across Salesforce and connected go-to-market systems, including deduplication, field standardization, ownership cleanup, and views showing each representative what to fix and why it matters.
  • Lead integration and data pipeline work across the go-to-market stack, including migrations when retiring and replacing tools.
  • Build infrastructure for partner and cloud marketplace revenue, including deal registration, sourced versus influenced attribution, and reporting.
  • Facilitate the variable compensation program by providing data quality and management support.
  • Serve as the control point for artificial intelligence agents in the go-to-market stack, managing permissions, access, and rollout, and design and deploy artificial-intelligence- and large-language-model-powered go-to-market workflows.
  • Share end-user support with the team, including troubleshooting lead routing and assignment, round-robin logic, service-level-agreement misses, and bulk list uploads for marketing campaigns and sales prospecting.
  • Partner with sales stakeholders, operations, and engineering to turn requirements into shipped solutions.

Desired Qualifications

  • Salesforce Platform Developer Level 1 certification or higher.
  • Hands-on experience with source control, particularly for Salesforce deployments.
  • Experience with land-and-expand enterprise sales motions, product-led growth, or developer-first companies.
  • Experience with partner, channel, or cloud marketplace operations.
  • Experience with stakeholder management.
  • Experience with leveraging artificial intelligence to optimize output and outcomes, and willingness to learn.
  • Experience managing or supporting variable compensation programs.

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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