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AIM Intelligent Machines

Autonomous AI-powered earth-moving construction systems.

Senior Technical Program Manager

Program ManagementConfirmed live in the last 24 hours
Full-timeSeattle, WA, USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Electrical Engineering, Robotics, Computer Engineering, or Mechanical Engineering, or equivalent hands-on technical experience.
  • At least 7 years of technical program management, engineering management, robotics deployment, or equivalent cross-functional experience.
  • Proven success driving complex, cross-disciplinary engineering programs from inception to delivery.
  • Ability to dive deeply into technical system design and communicate trade-offs, risks, and decisions clearly.
  • Experience working directly with hardware, firmware, robotics, or mission-critical software.
  • Demonstrated ability to manage ambiguity, reduce complexity, and deliver predictable outcomes across multiple teams.
  • Strong judgment and experience managing programs with competing priorities, tight timelines, and high operational risk.
  • Hands-on experience with engineering process development, including sprints, operational readiness reviews, incident management, testing, quality assurance, or deployment readiness.
  • Experience working with suppliers, vendors, or cross-organizational partners.
  • Willingness to travel to customer sites, original equipment manufacturer partners, and global deployments.

Responsibilities

  • Own the roadmap for complex programs spanning hardware, robotics, autonomy, and cloud infrastructure.
  • Define program mission, vision, tenets, success metrics, and long-term goals.
  • Translate ambiguous problems into clear requirements and orchestrate delivery across multiple engineering teams.
  • Work backwards from customers, field operations, and original equipment manufacturer partners to ensure deployments meet safety, performance, and reliability standards.
  • Dive deeply into system architecture, including hardware interfaces, perception pipelines, control systems, on-machine compute, system health, and data flows.
  • Ask technical questions, identify architectural risks early, and ensure trade-offs account for long-term consequences.
  • Partner with senior engineers to increase engineering capacity and simplify system interactions across teams.
  • Manage the lifecycle of highly complex, multi-team programs, including requirements, design, implementation, integration, testing, deployment, and maintenance.
  • Drive critical path decisions, proactively mitigate risks, clear blockers, coordinate dependencies, and escalate with sound judgment.
  • Build and evolve mechanisms for predictable program delivery across teams, including operational readiness reviews, centers of excellence, design reviews, cross-team schedules, and risk frameworks.
  • Collaborate with engineering, field operations, deployment teams, original equipment manufacturer partners, vendors, and customers across global time zones.
  • Communicate from technical engineering discussions to executive-level program narratives.
  • Harmonize conflicting viewpoints and drive alignment across hardware, software, autonomy, and operations.
  • Ensure programs meet standards for safety, availability, testability, serviceability, and customer readiness.
  • Identify systemic gaps and create mechanisms that eliminate recurring issues.
  • Continuously raise engineering quality and process rigor across teams.

Desired Qualifications

  • Experience with autonomous systems, robotics, industrial controls, heavy machinery, or real-world hardware-software systems.
  • Prior experience managing programs involving Global Navigation Satellite Systems/Inertial Navigation Systems, LiDAR, perception systems, real-time embedded systems, or machine safety.
  • Demonstrated success running high-risk field deployments or customer-facing technical operations.
  • Ability to simplify complex systems and drive architectural clarity across teams.
  • Ability to influence system architecture, engineering processes, and organizational mechanisms at scale.
  • Experience managing original equipment manufacturer partnerships or government/enterprise programs with high compliance requirements.
  • Mastery of modern program mechanisms, including PR/FAQ, six-page narratives, risk matrices, design reviews, and operational readiness frameworks.

About the Company

AIM Intelligent Machines

Autonomous AI-powered earth-moving construction systems.

AIM Intelligent Machines builds autonomous systems for large-scale earth-moving, construction, and terraforming tasks. Its products are autonomous machines that operate continuously in demanding environments, combining AI software with specialized hardware to perform building, mining, and terrain-changing work without human pilots. These systems are offered as a service, with revenue coming from long-term contracts and partnerships, rather than one-time product sales. The company differentiates itself through a leadership team with experience from Google, Waymo, and Microsoft, a strong investor base, and a focus on hardware-software integration for industrial automation at scale. AIM’s goal is to reduce human labor in challenging industrial settings by delivering reliable, 24/7 autonomous machines that can execute earth-moving and construction tasks efficiently under long-term service agreements.

Company size
51-200
Company stage
Late Stage VC
Total funding
$91.1M
Headquarters
Redmond, WA
Founded
2021

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