VP, Engineering (Software & Hardware)
Role details
Job location
Tech stack
Job description
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., 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., This job description is not intended to be all-inclusive. Employee may perform other related duties as assigned to meet the ongoing needs of the organization.
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.
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.
Benefits & conditions
Be an Early Applicant Remote Hiring Remotely in USA 260K-285K Annually Expert/Leader Remote Hiring Remotely in USA 260K-285K Annually Expert/Leader Lead and scale a cross-functional engineering organization responsible for kiosks, cloud platforms, mobile, enterprise systems, and AI-enabled products. Drive technology strategy, architecture modernization, cloud-native migrations, AI adoption, DevOps/SRE and delivery excellence. Build high-performing teams, implement modern SDLC practices, and partner with Product, Data, and executive leadership to deliver resilient, scalable platforms that support business growth and international expansion. The summary above was generated by AI, 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.
Base pay offered may vary depending on job-related knowledge, skills, and experience. This information is provided per CA SB 1162 ("CA Pay Transparency Law"). Base pay information is based on market location. Learn more about ecoATM benefits here.
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