Test & Validation Lead - IoT & Computer Vision

AgileEngine, LLC.

Dallas (TX)

Hybrid

USD 130,000 - 170,000

Full time

3 days ago

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Benefits offered by this job

Career growth & mentorship

Annual learning budget

Remote-friendly with flexible hours

Competitive compensation & reviews

Global project exposure

Job summary

AgileEngine, LLC. is seeking a Test Engineering Manager to lead validation of IoT and computer vision products. The role requires 7+ years in product validation or integration testing, expertise in embedded systems testing, and a track record of leading technical teams.

Hybrid availability in Dallas, TX and upper-intermediate English are required. You will define validation strategies, manage test plans, and drive metrics-driven decisions while coordinating cross-functional teams across

Qualifications

Experience with computer vision.
7+ years of experience in product validation, systems engineering, integration testing, quality engineering, or product development.
Demonstrated experience leading technical teams and complex cross-functional validation programs.
Experience validating complex connected products.
Strong understanding of system-level integration, reliability, regression, performance, and field validation.
Experience defining validation strategies, test plans, release criteria, and measurable acceptance metrics.
Embedded systems testing: hardware–firmware integration, device functionality, interfaces, and system-level performance.
Test automation: developing and implementing automated testing frameworks to improve coverage, repeatability, efficiency, and regression testing.

Responsibilities

Lead, coach, and develop a high-performing Test & Validation team with ownership and accountability.
Own product validation across hardware, firmware, software, cloud, connectivity, and customer workflows.
Partner with global R&D teams to define validation plans, coverage, checkpoints, targets, and release criteria.
Ensure system testing across device onboarding, telemetry, connectivity, data flow, performance, workflows, regression, and recovery scenarios.
Monitor and evaluate product performance against defined quality, reliability, and business metrics; identify trends.
Drive structured root-cause analysis across R&D, Product, Manufacturing, Field, and customer-facing teams.
Own validation dashboards and executive reports showing progress, defects, trends, risks, and readiness.
Lead final validation reviews and provide Go/Go-Conditional/No-Go recommendations for pilots and scale.