Remote VP of AI Platform & Systems Engineering

Jobgether; United States; On-site; USD 260,000 - 360,000; Full time

Benefits offered by this job

Remote work within United States

Executive leadership exposure

Collaboration with Product & Solutions

Job summary

Jobgether is listing a VP of Engineering role based in the United States. This high-impact position leads three pillars: Computer Vision & AI, MLOps & Infrastructure, and Platform Engineering, guiding architecture, AI pipelines, and scalable backend systems.

You will mentor senior leaders, shape engineering culture, and partner with product and execs to align roadmaps with business goals. Ideal candidates bring 12+ years in software, 6+ years in hands-on leadership, and deep expertise in AI/ML,

Qualifications

• 12+ years of professional software engineering experience, ideally spanning SaaS, infrastructure, and AI systems.
• 6+ years leading engineering teams in a hands-on capacity, with demonstrated success managing and developing technical leaders.
• Proven experience managing multi-team engineering organizations and coordinating technical execution across multiple disciplines.
• Significant experience with AI and machine learning systems, preferably with direct experience in computer vision.
• Experience building or scaling AI-driven SaaS platforms in production environments.
• Demonstrated experience scaling engineering organizations, products, and technology infrastructure within high-growth startup environments.
• Strong understanding of distributed systems, backend architecture, scalable services, and modern full-stack systems.
• Deep familiarity with MLOps pipelines, cloud infrastructure, deployment systems, monitoring, and production machine learning operations.
• Ability to remain hands-on and provide credible technical leadership while operating effectively at an executive and organizational level.
• Ability to connect technical architecture and engineering priorities with broader product, customer, and company objectives.
• Excellent communication and collaboration skills, with the ability to work effectively with engineers, product leaders, solutions teams, and executives.
• Strong coaching, mentoring, delegation, and organizational development capabilities.
• Experience working with energy, utilities, or other industrial systems is a plus.
• Experience with drones, imagery, geospatial technologies, or related data systems is advantageous.
• Candidates must already be authorized to work in the United States, as visa sponsorship is not currently available.

Responsibilities

• Technical Vision & Architecture: Define and drive the technical vision, architecture, and engineering strategy for the core AI-powered product and its supporting systems.
• AI & Computer Vision: Lead the development and evolution of AI/ML pipelines, computer vision systems, and production-grade machine learning capabilities.
• Distributed Systems: Guide the design and scaling of distributed systems, backend services, and full-stack technologies capable of supporting a growing product and customer base.
• Infrastructure & MLOps: Oversee MLOps capabilities, cloud infrastructure, systems architecture, deployment practices, and the reliability and scalability of engineering platforms.
• Engineering Organization: Lead engineering across three primary pillars: Computer Vision and AI, MLOps and Systems Infrastructure, and Platform Engineering.
• People Leadership: Directly manage team leads and senior engineering leaders, providing coaching, feedback, mentorship, and career development.
• Engineering Culture: Build and maintain a high-performing, accountable, collaborative, and technically rigorous engineering culture.
• Best Practices: Establish consistent engineering standards, architectural principles, development practices, and quality expectations across teams and projects.
• Product Partnership: Work closely with Product, Solutions, and executive leadership to define roadmaps, establish priorities, and align engineering investments with business objectives.
• Customer Delivery: Ensure engineering teams consistently deliver high-quality, reliable, and scalable solutions on schedule to meet customer needs.
• Strategic Leadership: Participate in senior-level discussions around company strategy, technology direction, organizational growth, and long-term product development.
• Organizational Scaling: Help scale engineering processes, teams, systems, and technical infrastructure to support continued high-growth expansion.
• Technical Problem-Solving: Provide hands-on technical guidance on complex architecture, AI systems, infrastructure, and software engineering challenges when deeper technical leadership is required.

Skills

Engineering Experience

Leadership Experience

Multi-Team Management

AI/ML Expertise

AI SaaS Background

Startup Scaling

Architecture

MLOps & Infrastructure

Technical Depth

Strategic Thinking

Communication

People Development

Industrial Experience

Geospatial & Imaging

Work Authorization

Job description

Jobgether is listing a VP of Engineering role based in the United States. This high-impact position leads three pillars: Computer Vision & AI, MLOps & Infrastructure, and Platform Engineering, guiding architecture, AI pipelines, and scalable backend systems.

You will mentor senior leaders, shape engineering culture, and partner with product and execs to align roadmaps with business goals. Ideal candidates bring 12+ years in software, 6+ years in hands-on leadership, and deep expertise in AI/ML,