VP, Engineering (Software & Hardware)

Position Details (What will you be doing?)

ecoATM is seeking a transformational Vice President of Engineering to lead the evolution of our technology organization into an AI-enabled, platform-driven, modern software engineering organization. Reporting to the CDTO, this executive will drive engineering strategy, organizational transformation, architecture modernization, and execution excellence across a complex omnichannel ecosystem spanning kiosks, cloud platforms, mobile applications, enterprise systems, marketplaces, data platforms, and AI-enabled products.

This leader will own engineering execution and technology modernization across Software Engineering, Enterprise Applications, Platform Engineering, Architecture, AI/ML Engineering, Web & Mobile, Kiosk Applications, Device Processing Systems, ERP integrations, DevOps/SRE, QA Automation, and Reliability Engineering.

The VP of Engineering will play a critical role in scaling engineering capabilities, improving developer productivity, modernizing legacy platforms, operationalizing AI technologies, and building high-performing teams capable of delivering innovative, scalable, and resilient products that accelerate ecoATM’s growth and re-commerce mission.

Key Responsibilities 

Engineering Leadership & Organizational Transformation 

• Lead and scale a high-performing engineering organization across software, platform engineering, QA, DevOps, architecture, and enterprise systems. 
• Build a culture centered around engineering excellence, accountability, innovation, experimentation, and continuous improvement. 
• Drive organizational transformation toward AI-assisted engineering workflows and modern software delivery practices. 
• Establish strong leadership development, succession planning, coaching, and talent management programs. 
• Recruit and retain top-tier engineering talent capable of operating in fast-paced, high-scale environments. 
• Create high talent-density engineering teams with clear ownership, accountability, and measurable outcomes. 

AI & Modern Engineering Transformation 

• Lead adoption of AI-native engineering practices across the SDLC including AI-assisted coding, testing, observability, documentation, and operational automation. 
• Drive engineering productivity improvements through modern developer tooling, automation frameworks, platform engineering, and generative AI workflows. 
• Partner with Product, Data, and ML teams to operationalize AI and machine learning capabilities into customer-facing and operational platforms. 
• Establish governance, standards, and security practices for responsible AI adoption across engineering. 
• Evaluate emerging technologies, AI frameworks, and modern architectures to accelerate innovation and business impact. 

Technology Strategy & Architecture 

• Partner with the CDTO to define and execute the long-term technology vision and engineering roadmap. 
• Lead modernization initiatives to simplify legacy systems, reduce technical debt, improve resiliency, and increase engineering velocity. 
• Drive migration toward modular, service-oriented, API-first, and cloud-native architectures. 
• Provide technical oversight across distributed systems, cloud infrastructure, backend services, frontend applications, and embedded kiosk technologies. 
• Champion scalable, secure, resilient, and observable engineering patterns across all platforms. 
• Support international expansion and future platform scalability through strong architecture governance. 

Delivery Excellence & Operational Execution 

• Own end-to-end engineering delivery from architecture and development through testing, deployment, monitoring, and operational support. 
• Establish engineering operating metrics including DORA metrics, release quality, deployment frequency, MTTR, reliability, and developer productivity. 
• Improve software delivery velocity while maintaining strong standards for quality, security, and resiliency. 
• Drive operational excellence through automation, observability, SRE practices, CI/CD, and platform standardization. 
• Lead engineering capacity planning, budgeting, vendor management, and resource allocation. 

Cross-Functional Leadership 

• Partner closely with Product, UX, Data, Security, Operations, Finance, and executive leadership teams. 
• Align engineering priorities with company strategy, customer outcomes, revenue growth, and operational efficiency goals. 
• Represent Engineering in executive leadership forums, board discussions, and strategic planning initiatives. 
• Foster a product engineering culture focused on experimentation, measurable business outcomes, and rapid iteration. 

Education & Experience (What education and experience will you need to be successful?)

• Bachelor’s degree in Computer Science, Engineering, or related field required; advanced degree preferred. 
• 15+ years of progressive software engineering experience with deep technical foundations. 
• 8+ years leading multi-team engineering organizations, including management of managers. 
• Prior VP Engineering or Senior Engineering leadership experience in a high-growth technology company, marketplace platform, SaaS company, or consumer technology organization. 
• Demonstrated success modernizing platforms, scaling engineering organizations, and driving operational transformation. 
• Experience leading engineering organizations through cloud modernization, AI adoption, and platform simplification initiatives. 
• Experience managing engineering budgets, strategic vendor relationships, and large-scale technology investments. 

Knowledge, Skills & Abilities (What knowledge, skills and abilities will you need to be successful?)

• Strong technical depth across distributed systems, cloud-native architecture, API-first platforms, event-driven systems, DevOps/SRE, observability, CI/CD automation, and modern engineering frameworks. 
• Hands-on understanding of modern engineering stacks including .NET, TypeScript/JavaScript, Node.js, React, Go, Rust, AWS, Kubernetes, and cloud-native infrastructure. 
• Experience modernizing and scaling complex legacy and custom-built enterprise platforms. 
• Demonstrated success implementing AI-assisted software development and engineering productivity initiatives. 
• Strong understanding of AI/ML systems, developer tooling, and operational AI enablement. 
• Experience leading engineering organizations supporting complex ecosystems spanning hardware, software, operations, logistics, marketplaces, and customer-facing platforms. 
• Strong communication and executive presentation skills with ability to communicate technical concepts to non-technical audiences. 
• Deep understanding of agile delivery models, engineering metrics, platform engineering, and organizational scaling. 
• Experience with enterprise platforms including ERP, Salesforce, integrations, and enterprise workflows. 
• Strong leadership presence with an inclusive, empowering, and high-accountability management style. 

Business Travel (How much will you travel?)

• 10%

Location (Where will you be working?)

• Remote with Monthly travel to one of these 3 locations:
  
  • San Diego, CA
  • New York, NY
  • Louisville, KY

Pay Range (How much might you earn in your base salary?)

$260k - $285k (annually)

This position may also be eligible for short-term and long-term incentives based on individual and company performance.

 

Position Details (What will you be doing?)

ecoATM is seeking a transformational Vice President of Engineering to lead the evolution of our technology organization into an AI-enabled, platform-driven, modern software engineering organization. Reporting to the CDTO, this executive will drive engineering strategy, organizational transformation, architecture modernization, and execution excellence across a complex omnichannel ecosystem spanning kiosks, cloud platforms, mobile applications, enterprise systems, marketplaces, data platforms, and AI-enabled products.

This leader will own engineering execution and technology modernization across Software Engineering, Enterprise Applications, Platform Engineering, Architecture, AI/ML Engineering, Web & Mobile, Kiosk Applications, Device Processing Systems, ERP integrations, DevOps/SRE, QA Automation, and Reliability Engineering.

The VP of Engineering will play a critical role in scaling engineering capabilities, improving developer productivity, modernizing legacy platforms, operationalizing AI technologies, and building high-performing teams capable of delivering innovative, scalable, and resilient products that accelerate ecoATM’s growth and re-commerce mission.

Key Responsibilities 

Engineering Leadership & Organizational Transformation 

• Lead and scale a high-performing engineering organization across software, platform engineering, QA, DevOps, architecture, and enterprise systems. 
• Build a culture centered around engineering excellence, accountability, innovation, experimentation, and continuous improvement. 
• Drive organizational transformation toward AI-assisted engineering workflows and modern software delivery practices. 
• Establish strong leadership development, succession planning, coaching, and talent management programs. 
• Recruit and retain top-tier engineering talent capable of operating in fast-paced, high-scale environments. 
• Create high talent-density engineering teams with clear ownership, accountability, and measurable outcomes. 

AI & Modern Engineering Transformation 

• Lead adoption of AI-native engineering practices across the SDLC including AI-assisted coding, testing, observability, documentation, and operational automation. 
• Drive engineering productivity improvements through modern developer tooling, automation frameworks, platform engineering, and generative AI workflows. 
• Partner with Product, Data, and ML teams to operationalize AI and machine learning capabilities into customer-facing and operational platforms. 
• Establish governance, standards, and security practices for responsible AI adoption across engineering. 
• Evaluate emerging technologies, AI frameworks, and modern architectures to accelerate innovation and business impact. 

Technology Strategy & Architecture 

• Partner with the CDTO to define and execute the long-term technology vision and engineering roadmap. 
• Lead modernization initiatives to simplify legacy systems, reduce technical debt, improve resiliency, and increase engineering velocity. 
• Drive migration toward modular, service-oriented, API-first, and cloud-native architectures. 
• Provide technical oversight across distributed systems, cloud infrastructure, backend services, frontend applications, and embedded kiosk technologies. 
• Champion scalable, secure, resilient, and observable engineering patterns across all platforms. 
• Support international expansion and future platform scalability through strong architecture governance. 

Delivery Excellence & Operational Execution 

• Own end-to-end engineering delivery from architecture and development through testing, deployment, monitoring, and operational support. 
• Establish engineering operating metrics including DORA metrics, release quality, deployment frequency, MTTR, reliability, and developer productivity. 
• Improve software delivery velocity while maintaining strong standards for quality, security, and resiliency. 
• Drive operational excellence through automation, observability, SRE practices, CI/CD, and platform standardization. 
• Lead engineering capacity planning, budgeting, vendor management, and resource allocation. 

Cross-Functional Leadership 

• Partner closely with Product, UX, Data, Security, Operations, Finance, and executive leadership teams. 
• Align engineering priorities with company strategy, customer outcomes, revenue growth, and operational efficiency goals. 
• Represent Engineering in executive leadership forums, board discussions, and strategic planning initiatives. 
• Foster a product engineering culture focused on experimentation, measurable business outcomes, and rapid iteration. 

Education & Experience (What education and experience will you need to be successful?)

• Bachelor’s degree in Computer Science, Engineering, or related field required; advanced degree preferred. 
• 15+ years of progressive software engineering experience with deep technical foundations. 
• 8+ years leading multi-team engineering organizations, including management of managers. 
• Prior VP Engineering or Senior Engineering leadership experience in a high-growth technology company, marketplace platform, SaaS company, or consumer technology organization. 
• Demonstrated success modernizing platforms, scaling engineering organizations, and driving operational transformation. 
• Experience leading engineering organizations through cloud modernization, AI adoption, and platform simplification initiatives. 
• Experience managing engineering budgets, strategic vendor relationships, and large-scale technology investments. 

Knowledge, Skills & Abilities (What knowledge, skills and abilities will you need to be successful?)

• Strong technical depth across distributed systems, cloud-native architecture, API-first platforms, event-driven systems, DevOps/SRE, observability, CI/CD automation, and modern engineering frameworks. 
• Hands-on understanding of modern engineering stacks including .NET, TypeScript/JavaScript, Node.js, React, Go, Rust, AWS, Kubernetes, and cloud-native infrastructure. 
• Experience modernizing and scaling complex legacy and custom-built enterprise platforms. 
• Demonstrated success implementing AI-assisted software development and engineering productivity initiatives. 
• Strong understanding of AI/ML systems, developer tooling, and operational AI enablement. 
• Experience leading engineering organizations supporting complex ecosystems spanning hardware, software, operations, logistics, marketplaces, and customer-facing platforms. 
• Strong communication and executive presentation skills with ability to communicate technical concepts to non-technical audiences. 
• Deep understanding of agile delivery models, engineering metrics, platform engineering, and organizational scaling. 
• Experience with enterprise platforms including ERP, Salesforce, integrations, and enterprise workflows. 
• Strong leadership presence with an inclusive, empowering, and high-accountability management style. 

Business Travel (How much will you travel?)

• 10%

Location (Where will you be working?)

• Remote with Monthly travel to one of these 3 locations:
  
  • San Diego, CA
  • New York, NY
  • Louisville, KY

Pay Range (How much might you earn in your base salary?)

$260k - $285k (annually)

This position may also be eligible for short-term and long-term incentives based on individual and company performance.