Remote Vice President of Engineering

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Remote Vice President of Engineering. In this pivotal role, you will drive technical excellence and scalable product delivery while embedding AI capabilities across the engineering platform. Your leadership will have a significant impact on global engineering teams, promoting a culture of innovation and collaboration. By aligning technology strategy with business objectives, you will ensure that the engineering processes are efficient and effective. You will also play a key role in mentoring and developing engineering talent as you help shape the future of our platform. Join us to advance customer-centric innovation in engineering.

In Short

• Develop and implement the technology strategy that aligns with the company’s business goals and objectives.
• Oversee all aspects of the engineering lifecycle, from product development, deployment, operations, and maintenance.
• Provide visionary leadership and mentorship to the engineering team, cultivating a culture of innovation, collaboration, quality and operational excellence.
• Lead, recruit, develop, and retain high-performing engineering teams (including software engineers, QA, AI/ML teams).
• Ensure rigorous adoption of software engineering best practices (CI/CD, agile methodologies, observability, security, resilience).
• Own the transition from AI-assisted to AI-native development practices.
• Collaborate closely with product management, technical operations, customer success and sales to define product roadmaps.
• Manage engineering budgets, resource forecasting, and vendor/partner relationships.

Requirements

• Bachelor’s degree in Engineering, Computer Science, or related field. Master's or higher preferred.
• 15+ years of experience in engineering leadership roles, including managing large, complex, SaaS or cloud-native engineering organizations.
• Demonstrated track record of building and scaling high-performing engineering teams and delivering complex software products.
• Strong understanding of software development lifecycle (SDLC), agile methodologies, DevOps, cloud architecture, microservices, distributed systems.
• Proven experience with SaaS platforms, managing scalability, reliability, and performance.
• AI/ML experience: ability to build and scale machine learning or generative AI systems.

Benefits

• A culture that values innovation, curiosity, diversity, and delivering excellence for our customers.
• A competitive compensation package (including base, bonus, and equity).
• The chance to work with a high-performing global team in a fast-growing, dynamic environment.
• Collaboration across global teams with exposure to cutting-edge AI/ML initiatives.