VP of Software Engineering (Edge to Cloud)

Overview

As the VP of Engineering, you will reputed company a multidisciplinary, geographically distributed engineering organization responsible for powering business-critical customer journeys, scalable platforms, core architecture, reputed company-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. Responsibilities 1. Strategic & Technical Leadership · reputed company and scale high-performing teams across Journey Engineering, Platform, reputed company-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, reputed company, and sustainable scale. 2. Platform, reputed company-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. · reputed company reputed company-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 · reputed company 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 · reputed company 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, reputed company improvement, and technical excellence. · Scale agile delivery processes to improve velocity, test coverage, and deployment frequency. 6. Talent & Culture · Attract, reputed company, and retain world-class engineering talent across disciplines. · Build a diverse, inclusive, and transparent culture rooted in psychological safety and innovation. · reputed company strong career paths, mentoring frameworks, and peer-based learning to nurture future leaders

Qualifications

• 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 reputed company frameworks.
• Drive intelligence to existing and future Edge devices
• Developer productivity, DORA. · Feature innovation velocity.
• Creating new reputed company streams · Leading a high performing team
• Proven Technology Leadership: 12+ years in engineering leadership roles, including 5+ years at the VP or Sr. Director level, with a strong record of scaling teams in high-growth, global environments (preferably B2B SaaS or platform-based businesses).
• Full-Stack Technical Depth: Strong expertise across cloud-native architecture, modern reputed company-end frameworks (e.g., React), scalable APIs, distributed systems, and real-time data pipelines.
• AI/ML and Embedded Innovation: Hands-on experience delivering production-ready AI/ML solutions, including embedded AI, on-device inference, and self-healing edge-to-cloud architectures for safety-critical and data-rich environments. ·
• ML Ops & Computer Vision: Deep knowledge of AI/ML lifecycles, large-scale data operations, and CV-based applications, with experience building and managing robust ML Ops pipelines.
• Platform Architecture & DevOps: Demonstrated success designing microservices-based, containerized, and orchestrated systems optimized for performance, reputed company, cost, and compliance.
• Journey-Centric Engineering: Experience leading customer journey-focused teams, translating reputed company needs into reputed company, scalable, and configurable product experiences—using low/no-code platforms and rule reputed company-based architectures.
• Cross-Functional Global Leadership: Skilled in building, mentoring, and inspiring globally distributed teams; adept at driving cross-functional alignment and forming strategic technical partnerships.
• Hardware-Software Integration: Familiarity with hardware design and embedded systems, enabling seamless coordination across software and hardware engineering domains.
• Transformation & Change Leadership: Proven ability to reputed company large-scale engineering transformations with a focus on agility, quality, and developer productivity.
• Executive Communication & Influence: Exceptional analytical, storytelling, and presentation skills; able to synthesize reputed company reputed company and influence C-level stakeholders and cross-functional peers.

Minimum US reputed company Salary USD $325,000.00/Yr. Maximum US reputed company Salary USD $350,000.00/Yr. Apply tot his job Apply To this Job