Full-Time

Solutions Architect

Post Sales

Posted on 9/2/2025

HumanSignal

HumanSignal

51-200 employees

Data labeling platform with human supervision

Compensation Overview

$122.5k - $143.5k/yr

+ On-Target Earnings (OTE) 175000-205000 USD

No H1B Sponsorship

Remote in USA

Remote

Hiring across North America.

Category
Sales & Solution Engineering (1)
Required Skills
Kubernetes
Python
JavaScript
Git
Machine Learning
Docker
REST APIs
Linux/Unix
HTML/CSS
Requirements
  • 3+ years in a customer-facing technical role (e.g., Solutions Architect, Sales Engineer, Professional Services Engineer, or similar) for a highly technical product, ideally enterprise SaaS or ML/AI platforms
  • Direct experience building a data labeling pipeline (e.g. data annotation, labeling workflows, and/or the ML lifecycle) and the ability to effectively communicate these concepts to audiences
  • Experience integrating SaaS platforms with ML pipelines; has built & deployed ML models to production and/or done engineering work to prepare datasets for data science teams
  • Hands‑on experience with Python, REST APIs, and infrastructure tools (Linux/Unix, Docker; Kubernetes a plus). Has built with multiple client APIs/SDKs in projects
  • Proven success in delivering onboarding, solution implementation, troubleshooting, and custom development for enterprise customers. Experience with javascript, CSS, & HTML is a plus
  • Strong executive presence and excellent written and verbal communication skills; able to translate complex technical concepts to a wide range of audiences from Data Scientists and Engineers to technical Executives
  • Strong project management and organizational skills; ability to manage multiple customers and priorities simultaneously
  • Collaborative, adaptable, and self-driven with a bias toward action
  • Creativity to help improve upon our post-sale technical & services offerings and supporting resources
  • Experience contributing to or deploying open-source software is a bonus
Responsibilities
  • Drive technical onboarding for enterprise customers, guiding them through installation, secure configuration, and best‑practice deployment of Label Studio Enterprise across cloud, on‑prem, or hybrid environments
  • Advise on and help architect integrations between Label Studio and customer AI/ML workflows, pipelines, storage, and enterprise systems
  • Develop and implement custom solutions (scripts, plug‑ins, and APIs) to extend Label Studio functionality based on unique customer requirements
  • Troubleshoot and resolve advanced technical issues, serving as an escalation point for Customer Success Managers and collaborating with Product, Engineering, and Support as needed
  • Deliver enablement, workshops, and technical documentation to empower users and drive self‑sufficiency with the platform
  • Act as a trusted technical advisor, building strong relationships with customer engineering, data, and AI/ML teams to support adoption, expansion, and long‑term value
  • Surface customer feedback and advocate for product improvements by sharing learnings with Product and Engineering
  • Contribute to internal best practices and reusable solution assets for future customer engagements
  • Partner with Customer Success Managers, guide customers through setup, configuration and customization, workflow design, integration, and ongoing optimization
  • Collaborate with Product, Engineering, Support, and Customer Success to deliver an exceptional customer experience
  • Help shape our engagement model, support customer scaling, and influence our product direction through direct technical insights
Desired Qualifications
  • Kubernetes a plus
  • Experience writing related technical documentation a plus
  • Experience with javascript, CSS, & HTML is a plus
  • Experience contributing to or deploying open-source software is a bonus

HumanSignal provides a data labeling platform that helps improve AI models by combining automation with human supervision. It offers Label Studio as a subscription-based tool with features like custom UI building, templates, team permissions, and workflow options, supporting multiple data types. Clients subscribe, label data using templates and configurable workflows, and use human review where needed, with options for integrations and advanced support. The goal is to help organizations produce high-quality labeled data at scale, tailored to their needs through a flexible platform and professional services.

Company Size

51-200

Company Stage

Series A

Total Funding

$25.2M

Headquarters

San Francisco, California

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • Label Studio used by 350,000 researchers and tens of thousands of organizations over four years.
  • Enterprise features provide role-based access, audit logs, and cloud or self-hosted deployment.
  • LLM-powered pre-labeling, bulk annotations, and synthetic data generation accelerate workflows.

What critics are saying

  • Scale AI forks open-source Label Studio, undercutting Enterprise subscriptions within 6-12 months.
  • Encord poaches computer vision clients with 40% faster workflows in 12-18 months.
  • Labelbox diverts 25% of cloud-native revenue via Vertex AI integrations in 6-12 months.

What makes HumanSignal unique

  • Label Studio Enterprise enables direct PDF OCR correction with labels and coordinates.
  • Prompts interface builds and tests LLM prompts for automated labeling with quality metrics.
  • Adala framework deploys autonomous agents for labeling without human intervention.

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Benefits

Remote Work Options

Performance Bonus

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

-8%

2 year growth

-10%
TechCrunch
Dec 15th, 2022
Heartex’S Label Studio Makes Labeling Audio For Ml Easier

Heartex, the well-funded machine learning data labeling startup, is launching a major update to its platform today that will open up new use cases for its tools by making annotating audio files in the commercial and open source versions of its Label Studio a lot easier for its users. These updates include a new user interface, optimized for working with audio files, the ability to annotate longer files (up to two hours in length) and millisecond controls in the built-in annotation tool. There is also now a new rendering engine for displaying waveforms. In a previous update, Heartex also added to its tool features like frame-by-frame video object tracking and an overhauled annotation UI.The company says about 150,000 users are currently relying on Label Studio, with more than 95 million annotations created so far.Image Credits: Heartex“When we were originally thinking about building the data labeling solution, we did a lot of data scientist interviews,” Heartex co-founder and CEO Michael Malyuk told me. “And what we figured out is that many of them say they don’t have enough flexibility with existing tools. There is a tool for images, but you can only put a single image on the screen

TechCrunch
May 18th, 2022
Heartex raises $25M for its AI-focused, open source data labeling platform

Heartex, a data labeling firm, has raised $25 million in a venture funding round, bringing its total raised to $30 million.

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