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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate VP, Engineering (M5) - **Company:** Classlink Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $180,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, JIRA, Automation of Tests, Microsoft Azure, Software as a Service, Cloud Computing, Cloud Engineering, Software Quality, Information Systems, Continuous Delivery, Continuous Integration, Cursor (Graphical User Interface Elements), Desktop Computing, DevOps, Github, Revision Control Systems, Identity and Access Management, Software Architecture, Software Tools, Cloud Services, Secure Coding, Software Engineering, Strategies of Testing, GitHub Copilot, Technical Debt, Gitlab, Containerization, Kubernetes, Information Technology, Data Analytics, GPT, Devsecops, Docker - **Published:** July 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9ef006ba15f89c73 ## About the Role * Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline, or equivalent professional experience. * 12+ years of experience in software engineering, software development, or engineering leadership within a technology organization. * 7+ years of progressive leadership experience managing engineering organizations, engineering managers, or multiple software development teams. * Demonstrated success leading high-performing engineering organizations that deliver secure, scalable, and high-quality software in Agile environments. * Deep expertise in modern software engineering practices, software development lifecycles, quality engineering, CI/CD, and engineering operational excellence. * Experience implementing AI-enabled software development, agentic engineering practices, developer productivity initiatives, and intelligent engineering workflows. * Strong understanding of software architecture principles, cloud-native development, DevSecOps, testing strategies, observability, and modern engineering platforms. * Demonstrated experience establishing engineering standards, development practices, quality expectations, and engineering governance across multiple teams. * Proven ability to align engineering execution with product strategy, architectural direction, and business objectives while influencing executive stakeholders. * Demonstrated success leading organizational transformation, engineering modernization, and cross-functional technology initiatives. * Excellent communication, collaboration, strategic planning, and organizational leadership skills. * Ability to remain stationary for extended periods while working with computers and participating in meetings. Preferred Skills & Experience * Master's degree in Computer Science, Software Engineering, Engineering Management, Business Administration, or a related discipline. * Experience leading engineering organizations within a SaaS, cloud-native, or high-growth technology company. * Experience building or scaling AI-enabled software development organizations, agentic engineering capabilities, or developer experience (DevEx) initiatives. * Experience leading quality engineering, test automation, release engineering, or engineering platform organizations. * Experience driving engineering transformation through automation, AI-assisted development, and continuous delivery practices. * Familiarity with education technology, identity and access management, or highly regulated software environments. Preferred Experience with: * AI-assisted software development tools (Claude, ChatGPT, GitHub Copilot, Amazon Q, Cursor, Windsurf, or similar) * Modern software development platforms and source control systems (GitHub, GitLab, Azure DevOps, or equivalent) * CI/CD, DevSecOps, automated testing, and software delivery platforms * Agile planning and engineering management tools (Jira, Azure DevOps, Linear, or equivalent) * Engineering observability, monitoring, code quality, and developer productivity platforms * Cloud-native application development and container platforms (AWS, Kubernetes, Docker, or equivalent) ## Description Strategic Leadership & Vision * Define and execute the long-term engineering strategy, ensuring engineering capabilities align with the company's product vision, architectural direction, AI-first strategy, and business objectives. * Develop a multi-year engineering roadmap that advances software delivery, engineering productivity, AI-enabled development, and organizational scalability. * Champion the evolution of agentic engineering and modern software engineering practices, positioning the organization to leverage emerging technologies responsibly and effectively. * Align engineering investments, organizational priorities, and technology initiatives with long-term business growth and customer success. Technical Domain Oversight (Engineering Excellence) * Provide executive oversight of Software Engineering, Agentic Engineering, and Test Engineering, ensuring consistent engineering excellence across the Development organization. * Establish engineering standards, software development methodologies, AI-assisted engineering practices, and quality expectations that enable scalable, secure, and maintainable software delivery. * Partner with Architecture leadership to ensure engineering execution consistently aligns with enterprise architecture, technical standards, and long-term technology strategy. * Partner with Infrastructure leadership to ensure engineering platforms, development environments, CI/CD pipelines, and cloud capabilities enable reliable, high-velocity software delivery. * Oversee engineering governance for AI-enabled software development, including secure coding, automated testing, observability, responsible AI usage, operational readiness, and software quality. Operational Excellence & Continuous Improvement * Define and monitor engineering performance metrics that measure delivery predictability, engineering productivity, software quality, developer experience, AI adoption, and operational effectiveness. * Drive continuous improvement by advancing engineering processes, AI-assisted development workflows, automation, testing strategies, and release practices across all engineering teams. * Sponsor initiatives that improve developer productivity through modern tooling, intelligent automation, engineering analytics, and AI-enabled software development. * Oversee engineering budgets, resource planning, vendor relationships, and technology investments that strengthen organizational capability and operational efficiency. * Continuously evaluate engineering risks, technical debt, and organizational bottlenecks, implementing strategies that improve long-term delivery performance and engineering resilience. Cross-Functional Collaboration * Partner with Product Management, Product Operations, Architecture, Infrastructure, Security, UX, and executive leadership to align engineering priorities with company strategy and customer outcomes. * Provide executive guidance on engineering tradeoffs, delivery risks, technology investments, and organizational priorities to support informed business decisions. * Foster collaboration across Engineering, Architecture, Infrastructure, Product Management, and Product Operations to establish a unified software development lifecycle and consistent engineering practices. * Represent the Engineering organization in executive planning, organizational initiatives, strategic customer engagements, and enterprise technology discussions. Talent Development & Organizational Growth * Hire, coach, mentor, and develop Engineering Managers, Technical Leads, Agentic Engineering Leads, Test Engineering Leaders, and other engineering leaders. * Build a high-performing engineering organization centered on accountability, innovation, collaboration, continuous learning, and technical excellence. * Develop leadership pipelines, succession plans, and organizational structures that enable Engineering to scale effectively with company growth. * Champion engineering career development, AI literacy, technical leadership, and modern engineering practices across the organization. This role is 100% remote eligible, with quarterly strategy meetings that are in-person. NOTE: This job description is not intended to be all-inclusive. 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