# Technical Program Manager

**Company:** [HumanSignal](https://hotfix.jobs/companies/humansignal)
**Location:** San Francisco, CA
**Role:** Technical Program Management
**Experience:** 8+ years
**Skills:** Program Management, Technical Program Management, Delivery Operations, Project Management, Stakeholder Management, Risk Management, KPI Tracking, Enterprise Program Management, Cross-Functional Collaboration, Ai/Ml Deployments
**Posted:** 2026-05-27

> Manage complex enterprise delivery programs for an AI data platform. Translate customer goals into plans, own end-to-end delivery health, and drive cross-functional execution with Product, Engineering, and GTM teams.

## Job Description

## 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

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