---
title: 'Technical Program Manager at HumanSignal'
canonical: 'https://feeny.ai/job/technical-program-manager-humansignal-san-francisco-gbxazjfeevzd'
type: 'job'
last_seen: '2026-09-08'
---

# Technical Program Manager at HumanSignal

- **Company:** HumanSignal
- **Location:** San Francisco, CA
- **Posted:** 2026-05-27
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/humansignal/jobs/6007734004

## Job description

## About HumanSignal

Real-world data is the competitive edge in AI.

HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.

We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.

We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.

If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.

## What You'll Do

- 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

Required Qualifications

- 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

## Preferred 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

## About HumanSignal

## Company Overview
- **One-liner**: HumanSignal provides an open-source and enterprise data labeling platform that enables AI teams to build high-quality datasets, evaluate models, and scale human judgment for machine learning.
- **Entity Type**: Private (startup; $30M total funding raised from venture investors)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2019
- **Founders**: Not publicly named on the website, but described as a team of Data Scientists and ML Engineers who met on a Himalayan expedition.

## Core Business
- Primary industry: Data labeling, AI training data, machine learning operations (MLOps), data-centric AI infrastructure.
- Target customers: B2B – data science teams at enterprises, AI startups, and organizations building custom ML/AI models (e.g., Bombora, Zendesk, Outreach, Trivago, Wyze).
- Mission: “To advance data-centric AI” and “help data scientists use data to teach ML/AI models how to make the best predictions.”

## Products & Services
- **[Label Studio (Open Source)](https://humansignal.com/)**: The most popular open-source data labeling platform, used by over 1,000,000 AI practitioners. Supports annotation of text, images, audio, video, 3D sensor data, and more. Available as a community edition.
- **[Label Studio Enterprise](https://humansignal.com/)**: A commercial SaaS/on-prem version with enhanced security, automation, quality review workflows, performance reporting, and integrations. Designed for production ML/AI teams.
- **[Data Services (Human-in-the-Loop)](https://humansignal.com/)**: Managed labeling, evaluation, red teaming, fine-tuning, and custom benchmark creation. HumanSignal’s expert annotators and project managers partner with teams to deliver high-quality datasets.
- **AI-assisted annotation & evaluation**: Tools for auto-labeling, LLM evaluation, RAG optimization, prompt engineering, and continuous model validation.

## Market Standing
- **Valuation**: Not disclosed.
- **Key Metric**: Total funding of **$30 million** (raised from proven investors as of 2025).
- **Notable Investors**: Redpoint Ventures, Unusual Ventures, Bow Capital, Swift Ventures.
- **Growth Signals**:
  - Headcount grew **83.7% YoY** to ~72 employees; operates in 18 countries.
  - Label Studio community: **250,000+ users** and **20,000+ GitHub stars**.
  - Over **100 million pieces of data** annotated by the community.
  - Acquired **Erud AI** in November 2025 to launch multimodal data services.
  - Label Studio Enterprise now available in AWS Marketplace (December 2025).
  - Customers include Bombora, Geberit, Outreach, Trivago, Zendesk, Wyze.

## Competitive Advantages
- **Open-source dominance**: Label Studio is the most widely adopted open-source data labeling tool, giving HumanSignal a massive community, low barrier to entry, and built-in trust.
- **Data-centric AI philosophy**: Differentiates by emphasizing domain experts and internal teams owning the labeling process, reducing bias, and integrating human judgment at scale.
- **Flexible deployment**: Cloud or on-premises, with deep integration capabilities via APIs and agent skills.
- **End-to-end services**: From labeling to evaluation, red teaming, and fine-tuning – a single vendor for the full human-in-the-loop pipeline.

## Strategic Focus
- Continue expanding the Label Studio open-source ecosystem and enterprise adoption.
- Grow multimodal data services (text, image, video, 3D, audio) – acquisition of Erud AI signals this priority.
- Build internal data factories for customers who prefer to run their own labeling operations.
- Strengthen integrations with major ML/AI platforms and cloud marketplaces (e.g., AWS).
- Secure enterprise customers in regulated industries (on-prem capability).

## Why Work Here
- **Remote-first culture**: Distributed team across North America, Europe, and South America; annual team offsites (virtual and in-person).
- **Inclusive environment**: Emphasis on authenticity, diversity, and psychological safety.
- **Competitive compensation**: Salary + equity ownership in a venture-backed startup.
- **Time off**: Generous vacation package, recognition of local holidays.
- **Growth opportunities**: Fast-growing company (83% headcount increase) with roles in Engineering, Data Services, and Operations.
- **Impact**: Work on one of the most critical infrastructure layers for AI/ML, with a strong open-source community.
- **Current openings (as of mid-2026)**: Senior Backend, Frontend, Full Stack Engineers (remote); Delivery Leads, AI Trainers, Operations roles.

## Sources
1. [humansignal.com](https://humansignal.com/)
2. [humansignal.com/about](https://humansignal.com/about/)
3. [humansignal.com/careers](https://humansignal.com/careers/)
4. [linkedin.com/company/humansignal](https://www.linkedin.com/company/humansignal)
5. [job-boards.greenhouse.io/humansignal](http://job-boards.greenhouse.io/humansignal)

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