Technical Program Manager

Posted 9 Days Ago
San Francisco, CA, USA
In-Office
8-10 Annually
Senior level
Software
The Role
The Technical Program Manager at HumanSignal will manage complex AI program deliveries, ensuring timely completion and efficient operations while collaborating with engineering and product teams.
Summary Generated by Built In
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

Skills Required

  • 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
  • Strong judgment under pressure; makes good decisions with incomplete information
  • Confident presence with senior engineers and executive customer stakeholders
Am I A Good Fit?
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The Company
HQ: San Francisco, California
51 Employees
Year Founded: 2019

What We Do

HumanSignal (formerly known as Heartex) enables data science teams to build AI models with their company DNA. With the emergence of generative AI, it’s more important than ever to build highly differentiated models by guiding foundation models with proprietary data and human feedback. Creators of Label Studio, the most popular open source data labeling platform, HumanSignal enables data scientists to develop high quality datasets and workflows for model training, fine tuning and continuous validation. Today, the Label Studio open source community has more than 250,000 users who have collectively annotated more than 100 million pieces of data. Label Studio Enterprise is available as a cloud service with enhanced security, automation, quality review workflows, and performance reporting, used by leading data science teams including Bombora, Geberit, Outreach, Wyze, and Zendesk.

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