Remote Lead Engineering Executive
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.
Accountabilities
- 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.
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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