VP, Engineering – Software, Hardware

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🏄 California, Kentucky, +1 more states – Remote

🏄 California – Remote 🐎 Kentucky – Remote 🗽 New York – Remote

💵 $260k - $285k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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ecoATM Gazelle

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

🛒 Retail

🛍️ eCommerce

🌍 Social Impact

Retail • eCommerce • Social Impact

ecoATM Gazelle is a company specializing in the trade-in and recycling of electronic devices, particularly mobile phones. They operate thousands of kiosks across the United States, allowing consumers to sell their old phones in exchange for cash. By evaluating the device's condition and specifications, ecoATM provides a convenient and eco-friendly solution for reducing electronic waste, contributing to the recycling of over 50 million devices to date. Their mission focuses on sustainability by preventing toxic electronic waste from entering landfills, supporting a healthier planet while providing immediate financial returns to consumers through easy and secure transactions.

📋 Description

• 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. • Partner closely with Product, UX, Data, Security, Operations, Finance, and executive leadership teams.

🎯 Requirements

• 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.

🏖️ Benefits

• This position may also be eligible for short-term and long-term incentives based on individual and company performance. • Base pay offered may vary depending on job-related knowledge, skills, and experience.