Vice President of Engineering

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $260k - $280k / year

⏰ Full Time

🔴 Lead

👔 Vice President

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SundaySky

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

Marketing

SundaySky is a software development company that specializes in video solutions aimed at enhancing customer retention, engagement, and acquisition. Their innovative platform allows businesses to create personalized and scalable video content without needing extensive video expertise. Focused on customer lifecycle marketing, SundaySky leverages real-time and data-driven video strategies to improve customer experience and drive loyalty across various channels, including social media and video advertising.

📋 Description

• Build, lead, and scale a high-performing Engineering organization across U.S.-based, nearshore, and offshore teams • Define the Engineering operating model, organizational structure, ownership boundaries, technical leadership model, and delivery expectations • Recruit, develop, and retain Engineering leaders, architects, full-stack engineers, QA professionals, DevOps resources, and technical leads • Establish performance expectations, career paths, Engineering standards, team health metrics, and leadership development plans • Design scalable team structures and build an effective blend of employees and delivery partners • Establish onboarding, documentation, knowledge-sharing, code ownership, architecture review, and technical readiness practices • Create repeatable processes for planning, delivery, support, technical decisions, and cross-functional coordination • Partner with Product, Customer Success, Sales, Operations, Finance, HR, and executive leadership to align resources with company priorities • Design and implement an AI-enabled software development lifecycle • Operationalize AI-assisted tools for coding, testing, documentation, code review, refactoring, debugging, requirements interpretation, release readiness, and production support • Establish responsible AI development standards covering security, intellectual property, privacy, code review, test coverage, architectural consistency, and human accountability • Develop internal Engineering agents, accelerators, automation, and workflows • Provide technical leadership for AI-powered product capabilities, platform services, internal tools, and customer experiences • Evaluate AI, automation, agents, LLM integrations, personalization, recommendations, content generation, and intelligent workflow opportunities • Guide architecture for model integrations, prompt orchestration, data pipelines, APIs, permissions, observability, auditability, and human-in-the-loop workflows • Ensure AI features meet quality, security, privacy, compliance, monitoring, explainability, and governance standards • Drive consistent, predictable, high-quality delivery across teams and initiatives • Establish planning, estimation, dependency management, technical review, release readiness, and executive reporting rhythms • Implement automation-first CI/CD, testing, QA, observability, security scanning, infrastructure provisioning, deployment, and release management practices • Define and track cycle time, deployment frequency, lead time, defect escape rate, test coverage, incidents, reliability, capacity, and release predictability metrics • Establish definitions of ready and done, automated quality gates, disciplined releases, and measurable success criteria • Translate company and product strategy into a scalable technical strategy and execution roadmap • Lead architecture, platform scalability, reliability, security, performance, data, APIs, integrations, DevOps, AI enablement, and technical debt management • Align Engineering investments with business outcomes, revenue priorities, customer commitments, enterprise readiness, and platform health • Manage budgets, hiring plans, contractor spend, vendors, software tooling, infrastructure costs, and resource allocation • Identify and mitigate operational, security, scalability, architectural, delivery, personnel, compliance, and platform risks • Establish incident management, production support, monitoring, alerting, reliability, and postmortem practices • Contribute directly to architecture, technical design, prototyping, troubleshooting, and implementation when needed • Serve as an escalation point for complex platform, scalability, reliability, performance, integration, data, and security challenges • Work directly with engineers to unblock delivery and model strong Engineering practices

🎯 Requirements

• 10+ years of Engineering leadership experience, including leadership of managers, architects, technical leads, and distributed teams • Experience as a VP of Engineering, Head of Engineering, Senior Director of Engineering, or equivalent leader within a SaaS, enterprise software, platform, or technology company • Demonstrated success building, restructuring, scaling, and leading high-performing Engineering organizations • Strong full-stack background spanning frontend, backend, APIs, data, cloud infrastructure, and integrations • Hands-on software development experience and ability to contribute to architecture, prototypes, technical design, code, and critical problem-solving • Strong architectural judgment across scalable systems, cloud-native platforms, data models, security, observability, reliability, and performance • Experience managing onshore, nearshore, and/or offshore teams and partners • Proven success improving Engineering operating models, delivery practices, technical ownership, velocity, and predictability • Experience implementing automation across CI/CD, testing, infrastructure, observability, security, quality gates, and release management • Experience adopting and operationalizing AI-assisted Engineering tools and workflows • Experience building AI-powered features, internal accelerators, workflow automation, LLM-enabled capabilities, or intelligent developer tools • Ability to partner effectively with Product, UX, GTM, Customer Success, Finance, HR, and executive leadership • Excellent communication skills, including explaining technical strategy, risks, architecture, capacity, and tradeoffs to executive and board audiences • Strong judgment, urgency, accountability, and ability to lead through ambiguity, growth, and change • Preferred: experience in B2B SaaS, enterprise software, marketing technology, fintech, financial services, insurance, or another regulated industry • Preferred: experience with GitHub Copilot, Claude Code, Cursor, ChatGPT, or similar AI-assisted development platforms • Preferred: experience delivering LLM, agent, prompt orchestration, personalization, recommendation, content generation, workflow automation, or intelligent analytics capabilities • Preferred: experience with nearshore, offshore, contractor, or global delivery models • Preferred: experience with cloud-native, API-first, data-driven, multi-tenant, configurable, or enterprise-grade platforms • Preferred: experience improving roadmap visibility, backlog discipline, technical ownership, delivery accountability, or release predictability • Preferred: experience implementing automated regression and performance testing, security scanning, observability, and production-readiness practices at scale • Preferred: experience in a growth-stage company balancing customer commitments, platform modernization, technical debt, team scaling, and product innovation

🏖️ Benefits

• Annual bonus • Equity • 401(k) • Medical insurance • Dental insurance • Vision insurance • Short-term disability coverage • Paid parental leave • Inclusive work environment