VP of Software Engineering : Edge to Cloud

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Edge to Cloud role at Bus Patrol

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Edge to Cloud role at Bus Patrol

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VP of Software Engineering :
Edge to Cloud

Travel: Up to 30% both domestic and international

Manages Others: yes

Education: Bachelor’s in Engineering, Computer Science minimum;
Masters preferred

Experience: Proven experience in Cross-Functional Global Leadership and establishing strategic partnerships to drive business and technical outcomes, expertise in Software Development, Edge Computing, ML and Cloud Infrastructure

The Opportunity

As the VP of Engineering, you will lead a multidisciplinary, geographically distributed engineering organization responsible for powering business-critical customer journeys, scalable platforms, core architecture, front-end experience, and AI-driven features. You will shape the long-term technology vision while ensuring short-term delivery excellence and cross-functional alignment. This is a highly visible leadership role that will work closely with Product, Data, Design, GTM, and Executive teams.

You’ll drive strategy and execution across both cloud and embedded environments, shaping the technology roadmap in alignment with customer and business priorities. This is a pivotal role in a late-stage, high-growth startup, requiring strong technical depth, cross-functional leadership, and a bias for action.

What You Will Be Doing

1. Strategic & Technical Leadership
· Lead and scale high-performing teams across Journey Engineering, Platform, Front-End, and AI/ML.

· Define and execute technology strategy in partnership with Product, Data, and Executive leadership.
· Align engineering initiatives to business priorities and product OKRs.
· Establish architectural principles that drive agility, security, and sustainable scale.

2. Platform, Front-End & Architecture
· Drive the evolution of a modern, API-first, microservices-based platform.
· Ensure high availability, reliability, and extensibility of internal and customer-facing systems.
· Oversee front-end frameworks and design systems to deliver cohesive, performant user experiences.
· Reduce tech debt and complexity through architectural governance and modernization.
· Optimize systems for observability, performance, and cloud cost efficiency.

3. AI/ML and Embedded Systems
· Lead practical AI/ML applications across business workflows and customer journeys.
· Guide integration of NLP, computer vision, and predictive models in both cloud and embedded environments.
· Drive embedded AI delivery with on-device inference, model optimization (quantization/pruning), and edge analytics.
· Partner with Hardware, Firmware, and Edge teams to deliver performant, resource-aware AI experiences.
· Manage the lifecycle of deployed models with a focus on reliability, ethical use, and real-world value.

4. Customer Journey Engineering
· Enable journey teams (e.g., onboarding, engagement, support) with shared services, frameworks, and scalable APIs.
· Promote reusable design patterns and technical accelerators to drive speed and consistency.
· Define metrics to assess impact on customer experience and business KPIs.

5. Engineering Excellence & Operational Execution
· Foster a culture of accountability, continuous improvement, and technical excellence.
· Scale agile delivery processes to improve velocity, test coverage, and deployment frequency.

6. Talent & Culture
· Attract, develop, and retain world-class engineering talent across disciplines.
· Build a diverse, inclusive, and transparent culture rooted in psychological safety and innovation.
· Develop strong career paths, mentoring frameworks, and peer-based learning to nurture future leaders

What You Bring

• Experience in late-stage startup or PE-backed growth environments.
• Strong background in embedded systems, edge computing, or AI-based automation.
• Familiarity with compliance, multi-tenant SaaS architecture, and scalable security frameworks.
• Drive…