VP, Software Engineering - jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a VP, Software Engineering based in United States.

This executive leadership role offers the opportunity to shape the future of a technology organization by modernizing platforms and building a world-class engineering culture. You will lead large-scale transformation initiatives, including platform consolidation, AI-first development practices, and the transition toward an outcome-driven product operating model. The role combines strategic vision with hands-on technical leadership, allowing you to influence architecture, engineering excellence, and customer impact. You will empower global teams, develop engineering leaders, and create systems that improve scalability, reliability, and innovation. Working closely with product, security, customer experience, and executive stakeholders, you will help deliver technology solutions that create meaningful value. This is an ideal opportunity for an experienced engineering leader passionate about building high-performing teams and leveraging emerging technologies to solve complex challenges.

Accountabilities:

As VP, Software Engineering, you will own the engineering strategy, technical roadmap, and organizational evolution required to deliver scalable, secure, and innovative technology solutions. You will combine deep technical expertise with strong leadership capabilities to modernize platforms, improve engineering performance, and build a culture focused on customer outcomes.

• Define and execute the technical strategy for unifying multiple platforms into a modern, scalable architecture.
• Lead platform modernization efforts using cloud-native technologies, generative AI capabilities, and contemporary integration approaches.
• Build and scale a global, high-performing engineering organization across distributed teams and time zones.
• Drive the adoption of AI-assisted development tools and practices to increase engineering velocity, quality, and efficiency.
• Partner with product leadership to identify opportunities where technology and AI can create meaningful customer value.
• Guide the transition toward a product operating model based on cross-functional teams, ownership, and measurable outcomes.
• Establish engineering performance frameworks using metrics such as DORA metrics, cycle time, quality indicators, adoption, and business impact.
• Own platform reliability, including uptime, security, service-level objectives, incident management, and operational excellence.
• Make strategic decisions regarding architecture, infrastructure, build-versus-buy approaches, and technology investments.
• Develop engineering leaders through mentorship, succession planning, and professional growth initiatives.
• Establish responsible AI, security, and data privacy practices in partner