Full-Time

Technical Program Manager

Updated on 9/3/2026

HumanSignal

HumanSignal

51-200 employees

Data labeling platform with human supervision

No salary listed

San Francisco, CA, USA

In Person

Category
Project & Program Management (1)
Required Skills
Risk Management

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Requirements
  • 8+ years in program/technical program management or delivery operations
  • Track record managing complex, multi-stakeholder enterprise programs
  • Metrics-driven: owns and reviews delivery health KPIs weekly (on-time milestone rate, blocker aging, schedule variance, etc.)
  • Strong judgment under pressure; makes good decisions with incomplete information
  • Confident presence with senior engineers and executive customer stakeholders
Responsibilities
  • Translate customer outcomes into integrated delivery plans — milestones, dependencies, critical path, DRIs, definitions of done — and manage scope as engagements evolve
  • Own delivery health end-to-end: maintain crisp status, surface risks early, and drive blockers to resolution so engineers stay focused on technical work
  • Run tight cadences that hold teams accountable to outcomes without micromanagement; every open item has an owner and a due date
  • Build durable delivery systems: single source of truth, action-item registers, risk registers, and playbooks that scale across the delivery org
  • Draft regular customer updates (often daily), own live and async reporting, and maintain stakeholder confidence through proactive communication
  • Identify automation opportunities and build AI-driven workflows to reduce operational overhead across engagements
  • Partner closely with Product, Engineering, and Go-To-Market teams to continuously raise the bar on delivery excellence
Desired Qualifications
  • Experience with enterprise AI or ML deployments
  • Familiarity with enterprise IT procurement and security processes
  • Background in startup ops, management consulting, or forward-deployed engineering
  • Experience building lightweight operating systems for distributed teams

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

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Simplify Jobs

Simplify's Take

What believers are saying

  • June 2026 product updates targeted agentic AI evaluation and multimodal interfaces.
  • HumanSignal raised $25 million from Redpoint and existing investors, supporting expansion.
  • The Erud AI acquisition positions HumanSignal for frontier model training demand in 2026.

What critics are saying

  • August 2026 CVE-2026-72560 exposed SSRF in Label Studio through version 1.24.0.dev0.
  • Open-source competitors can copy labeling features quickly, compressing HumanSignal’s software margins.
  • If Services fails, Enterprise buyers can bypass HumanSignal by hiring cheaper annotation vendors.

What makes HumanSignal unique

  • Label Studio 1.23 added vector annotation, interactive task source, and data manager improvements in 2026.
  • HumanSignal combines open-source Label Studio with enterprise workflows, permissions, and custom interface building.
  • November 2025 Erud AI acquisition added physical data labs and expert annotation services.

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Benefits

Remote Work Options

Performance Bonus

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-11%

2 year growth

-12%
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.