---
title: 'Technical Program Manager at Skild AI'
canonical: 'https://feeny.ai/job/technical-program-manager-skild-ai-san-mateo-fb08xmmpyvv4'
type: 'job'
last_seen: '2026-10-21'
---

# Technical Program Manager at Skild AI

- **Company:** Skild AI
- **Location:** San Mateo, CA
- **Compensation:** $100k–$300k
- **Posted:** 2026-10-20
- **Last confirmed live:** 2026-10-21
- **Apply:** https://job-boards.greenhouse.io/skildai-careers/jobs/5458886008

## Job description

Company Overview

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.

Position Overview

We are seeking a Technical Program Manager to own delivery across the programs that scale Skild AI’s robots to new customer sites, applications, and robot types. Our robots already work in customer facilities. You will run the product releases, hardware builds, and customer deployments that take them to production, where robotics hardware, foundation models, and fleet software meet. You will report to the Senior Director of Product & Engineering and work closely with engineering, product, and operations leaders. You will own how programs are planned, tracked, and delivered, and give leadership clear visibility into progress, risks, and trade-offs. This role offers the chance to shape how a fast-growing company executes and to grow the program management function over time.

## Responsibilities

- Own end-to-end delivery of concurrent programs, from software releases to hardware builds and customer deployments, and hold teams to clear commitments and milestones.
- Coordinate dependencies across engineering, product, and operations so work lands in the right order.
- Surface schedule, technical, and resourcing risks early, drive mitigation, and present trade-offs to leadership with clear options.
- Lead roadmap and quarterly planning with engineering leads so commitments match team capacity.
- Run and refine lightweight, Agile-aligned processes for planning, release readiness, and retrospectives, tailored to each team’s size and maturity.
- Build dashboards and run program reviews that give leadership a single, trusted view of status, risk, and capacity.
- Write clear program updates, decision memos, and post-mortems.
- Own and evolve how we use Linear and Notion so plans, dependencies, and decisions are easy to track and find.

## Preferred Qualifications

- Bachelor’s degree in Engineering, Computer Science, or a related technical field, or equivalent practical experience.
- 5+ years of technical program management experience on hardware and/or software products.
- Proven track record of shipping physical products end to end in robotics, consumer electronics, aerospace, automotive, or similar, including sustaining releases after launch.
- Experience managing programs across multiple cross-functional teams with external dependencies.
- Experience running programs that span hardware, firmware, software, and cloud services, with enough technical depth to challenge estimates and spot integration risks.
- Experience establishing and scaling program management and Agile practices in a fast-paced, growing company.
- Hands-on experience configuring Linear and Notion (or similar tools such as Jira and Confluence) and building dashboards leaders rely on.
- Ability to build strong relationships with engineering, product, and executive leaders and drive decisions without direct authority.
- Scripting or automation skills, or Scrum Master or PMP certification, are a plus.

Base Salary Range $100,000—$300,000 USD

## About Skild AI

## Company Overview
- **One-liner**: Skild AI builds a general-purpose robotic intelligence (the "Skild Brain") that enables any robot to autonomously perceive, act, and interact across diverse physical environments.
- **Entity Type**: Private (venture-backed; latest round Series C closed January 2026)
- **Headquarters**: Pittsburgh, Pennsylvania, United States (also offices in San Mateo, San Francisco, and Bengaluru)
- **Founded**: 2023
- **Founders**: Not publicly available in the reviewed sources

## Core Business
- **Primary industry/industries**: Robotics, Artificial Intelligence, Physical Automation
- **Target customers**: B2B enterprise – manufacturing, construction, security/inspection, logistics, and other sectors requiring physical task automation
- **Mission or purpose statement**: "Bringing AI into the physical world" by building an omni-bodied brain that can control any robot for any task, learned from scalable, data-driven machine learning

## Products & Services
- **Skild Brain**: The core AI foundation model that works across different robot types and tasks, enabling low‑level skills (grasping, handover, navigation) abstracted via API calls.
- **Mobile Manipulation Platform**: Robots powered by Skild Brain that can navigate, grasp, and manipulate objects in unstructured environments.
- **Security/Inspection Robot Platform**: Robots equipped with Skild Brain for autonomous inspection in hazardous areas, reducing the need for human manual patrols.
- **Autonomous Packing System**: High‑precision dexterous manipulation for repetitive packing tasks.
- **Simulation & Data Tools**: Physics simulation environments and annotation pipelines used to train and validate the model.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding raised – **$2.215B** (CB Insights) / **$2.21B** (PitchBook), including a **$1.4B Series C** in January 2026
- **Notable Investors/Partners**: Lightspeed, Felicis, Coatue, Bezos Expeditions, Sequoia Capital, and 39+ others (per CB Insights)
- **Growth Signals**:
  - Acquired Zebra Technologies’ robotics automation business (April 2026)
  - Rapid headcount growth: ~50 employees (PitchBook) with **51 open roles** listed on Greenhouse as of mid‑2026
  - Expanded footprint to multiple US cities and Bengaluru, India

## Competitive Advantages
- **Omni‑bodied AI**: A single foundation model works across diverse robot hardware and tasks, avoiding the need for task‑specific training.
- **Scalable data pipeline**: Learns from human videos and real‑world interactions, creating a long‑term data advantage.
- **End‑to‑end integration**: From simulation and data annotation to real‑world deployment, the company controls the full stack.
- **Backing by top‑tier VCs and Bezos Expeditions**, providing capital and strategic access for rapid scaling.

## Strategic Focus
- **Real‑world deployment**: Prioritizing tangible robot applications (packing, inspection, manipulation) to deliver immediate customer value.
- **Data moat**: Continuing to scale data acquisition through human‑video learning and proprietary simulation.
- **Cross‑industry expansion**: Moving from early‑stage deployments into construction, manufacturing, logistics, and security verticals.

## Why Work Here
- **Innovation‑driven culture**: Described as a team where “curiosity meets impact,” tackling the frontier of physical AI.
- **Diverse openings**: 50+ roles across engineering (CV/ML, manipulation, embedded, simulation, infrastructure), research, product, operations, and marketing.
- **Global presence**: Offices in Pittsburgh, San Mateo, San Francisco (US) and Bengaluru (India); some roles allow remote work, though many are location‑specific.
- **Engineering‑forward**: Emphasis on data‑driven machine learning, robotics, and large‑scale systems, with opportunities to work on the core AI model and deployment.
- **Perks**: Not detailed, but typical for venture‑backed robotics startups include competitive equity, modern hardware, and a mission‑oriented environment.

## Sources
1. [skild.ai](https://www.skild.ai/)
2. [Greenhouse Job Board](http://job-boards.greenhouse.io/skildai-careers)
3. [CB Insights](https://www.cbinsights.com/company/skild-ai)
4. [PitchBook](https://pitchbook.com/profiles/company/608340-52)

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