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Agility Robotics

Director, Product Quality

Agility Robotics is hiring a Director, Product Quality. It pays $162k-$210k a year and Level rates it ; you can apply on Agility Robotics.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include 8d, 5 Why and Dmaic.
  • Level classifies it as an executive role.
  • Level lists 76 other open roles at Agility Robotics.

AI in this role

Director of Product Quality to lead field quality, failure analysis engineering, and reliability performance across deployed humanoid robots.

8d5 WhyDmaic
failure-analysisquality-assurancereliability-engineeringroot-cause-analysis

Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

About the Role

We are looking for a hands-on, high-impact Director, Product Quality to lead our Field Quality and Failure Analysis engineering teams. In this role, you will hold ultimate accountability for overall field quality, reliability performance, and fleet health across all deployed commercial products.

You are a seasoned practitioner of rigorous problem-solving methodologies (8D, 5-Why, DMAIC) with a proven track record of diving deep into complex electromechanical, hardware, and firmware failures. You will bridge the gap between field service operations, customer sites, supplier quality, and internal product design teams to ensure field issues are contained rapidly, root-caused definitively, and prevented permanently.

About the Work

  • Own Field Quality & Fleet Health: Establish, monitor, and report on key field quality metrics (e.g., MTBI, MTTF, ARR, issue escape rates, service ticket turnaround time) for all shipping products and customer deployments.
  • Lead Failure Analysis (FA) & CAPA: Lead and grow a dedicated team of Failure Analysis Engineers. Drive rigorous Root Cause Analysis (RCA) and Corrective/Preventive Action (CAPA) processes for field returns, hardware bugs, and system-level failures.
  • Field Containment & Rapid Response: Establish immediate containment protocols for critical field escalations, safety events, and unexpected fleet-wide failure trends to minimize customer downtime.
  • Cross-Functional Feedback Loop: Serve as the critical bridge between Field Operations, Customer Success, Hardware Engineering, Software/Firmware, and Supplier Quality. Drive design-for-reliability (DFR) feedback directly into next-generation product engineering.
  • Manage Closed-Loop Quality Systems: Implement and maintain robust Closed-Loop Corrective Action (CAPA) tracking across multi-site field deployments and repair depots.
  • Executive Communication & Governance: Host regular Field Quality Reviews with leadership, presenting objective data, failure Pareto analyses, root-cause findings, and measurable CAPA progress.

About You

  • Education: Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Mechatronics, Systems Engineering, or a related technical field.
  • Experience: 10+ years of experience in Quality Engineering, Field Quality, or Reliability Engineering within high-complexity hardware industries (Robotics, Automotive/EV, Aerospace, Autonomous Systems, or Complex Industrial Equipment).
  • Leadership: 5+ years of direct people management experience leading technical engineering teams (FA, Quality, or Sustaining Engineering).
  • Hands-on Expertise: Deep, practical experience executing physical failure analysis on electromechanical systems (actuators, harnesses, sensors, PCBAs, battery management systems, and precision mechanical linkages).
  • Methodologies: Certified or expert practitioner in structured root cause analysis tools (8D, 5-Why, Fishbone/Ishikawa, Fault Tree Analysis, FMEA, Gauge R&R).

Preferred Qualifications

  • Advanced Degree: Master’s degree in Engineering Management or an Engineering discipline.
  • Certifications: Certified Quality Engineer (CQE), Certified Reliability Engineer (CRE), or Lean Six Sigma Black Belt.
  • Domain Experience: Experience managing field reliability for autonomous mobile robots (AMRs), humanoid robotics, or safety-critical industrial equipment.
  • Systems Exposure: Familiarity firmware diagnostic tools, and telemetry data analytics for remote fleet diagnostics.

Work Environment & Travel

  • Position is based out of our Salem, OR facility with regular access to testing labs, service centers, and assembly lines.
  • Occasional travel (up to 20%) to customer sites, field test locations, or primary suppliers may be required to investigate critical quality escapes.

Location

  • This is an onsite position at our Salem, OR office.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.

Anticipated Base Salary Range$162,000—$210,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full-time employees:

  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.

How we rate this

Director, Product Quality at Agility Robotics rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Failure AnalysisQuality AssuranceReliability EngineeringRoot Cause Analysis8d5 WhyDmaic

Questions you could be asked

  1. Tell me about a project where failure analysis was part of your work. What did you do?
  2. Tell me about a project where quality assurance was part of your work. What did you do?
  3. Tell me about a project where reliability engineering was part of your work. What did you do?
  4. Tell me about a project where root cause analysis was part of your work. What did you do?
  5. Walk me through how you've used 8d in your day-to-day work.

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  • List these exact terms on your resume: Failure Analysis, Quality Assurance, Reliability Engineering, Root Cause Analysis, and 8d. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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