HumanSignal
Technical Program Manager
San Francisco, California · Senior
Sponsorship not specifiedDetected 55 days ago
Machine LearningProcurementCommunication
About the role
- About HumanSignal Real-world data is the competitive edge in AI.
- We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows.
- If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.
Responsibilities
- Translate customer outcomes into integrated delivery plans - milestones, dependencies, critical path, DRIs, definitions of done - and manage scope as engagements evolve
- 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
- HumanSignal is a human data partner for companies building AI models and products.
- 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.
Requirements
- 8+ years in program/technical program management or delivery operations
- Track record managing complex, multi-stakeholder enterprise programs
Nice to have
- 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
Benefits
- Own delivery health end-to-end: maintain crisp status, surface risks early, and drive blockers to resolution so engineers stay focused on technical work
- Metrics-driven: owns and reviews delivery health KPIs weekly (on-time milestone rate, blocker aging, schedule variance, etc.)
Company info
- 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.
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