VP, Engineering (Software & Hardware)

At ecoATM the proof of our success is in our staggering growth, extraordinary impact on protecting the planet, and providing a work culture unlike any other. We are a technology company and a pioneer of device re-commerce. Through our 7,000 automated kiosks and online marketplace Gazelle.com, we enable people all over the world to join the mobile device re-use revolution, a revolution that will get billions of used smartphones out of the e-waste cycle and into the hands of people who don’t have affordable access to the empowerment of the latest mobile technology.

At ecoATM we know our employees are our greatest strength and the key to our continued growth and success. When you join our team, you will enjoy more than just a job, you will be empowered to develop and utilize your unique talents and skills to build a rewarding career while making a lasting, positive impact on the planet.

Our Values and Leadership Behaviors

• 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. 

• 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. 

• 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. 

• 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. 

• 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.