[Hiring] Head of Software Engineering @Panasonic

Role Description

Clearview is entering its next phase of growth, evolving from a conventional reporting and analytics SaaS provider into a global, AI-powered Restaurant Operations Intelligence platform for quick service restaurant operators. We're looking for a technology leader who can strengthen our core SaaS platform, scale our engineering organization, turn our restaurant data advantage into practical AI products, and make engineering productivity a top operating priority.

This is a strategic executive leadership role responsible for the engineering organization, technology roadmap, platform architecture, AI capabilities, delivery discipline, and a company-level productivity transformation across the software development lifecycle. You'll combine technical depth, SaaS scaling experience, AI and data fluency, product partnership, customer orientation, and a track record of improving engineering productivity through modern AI tools, automation, and disciplined process design.

Responsibilities

• Technology Leadership
  • Define and execute Clearview's technology strategy and architecture roadmap.
  • Ensure the scalability, reliability, security, and performance of the Clearview platform.
  • Lead platform modernization, cloud infrastructure, API, and DevOps strategy.
  • Establish engineering standards, delivery practices, and technical governance.
• AI & Data Strategy
  • Lead the evolution of Clearview's AI, machine learning, forecasting, and decision-support capabilities.
  • Partner with Product to identify high-value AI use cases for restaurant operators and enterprise customers.
  • Establish practical MLOps, data governance, model deployment, and monitoring practices.
  • Translate AI capabilities into measurable customer and commercial value.
• AI-Enabled Engineering Productivity
  • Make engineering productivity a primary strategic objective, with clear baselines, targets, and executive-level reporting.
  • Define and implement an AI-enabled software development lifecycle spanning discovery, design, coding, code review, testing, documentation, deployment, and support.
  • Drive adoption of AI-assisted coding, automated test generation, code quality analysis, documentation generation, DevOps automation, and developer knowledge tools.
  • Reduce cycle time, rework, manual testing burden, and avoidable production defects through AI-enabled workflows and stronger engineering discipline.
  • Establish responsible AI guardrails, security controls, IP protection, and measurement practices for AI use in development.
  • Build a culture where engineers use AI to increase leverage while maintaining accountability, craftsmanship, and customer trust.
• Engineering Organization
  • Recruit, develop, and retain world-class engineering talent.
  • Build a high-performance culture focused on accountability, collaboration, innovation, and execution.
  • Develop engineering managers, technical leaders, career paths, and succession plans.
  • Improve delivery predictability, quality, and communication across teams.
• Product Partnership
  • Collaborate closely with Product Management on roadmap planning, prioritization, and release execution.
  • Balance innovation, customer commitments, technical debt, and platform investment.
  • Ensure engineering decisions are grounded in customer outcomes and business priorities.
  • Build strong alignment between engineering, product, sales, customer success, and executive leadership.
• International Growth
  • Build technology capabilities that support global expansion.
  • Lead platform localization, multi-region deployment, data residency, and scalability planning.
  • Evaluate regional technical, security, privacy, and compliance requirements.
  • Support market entry planning for new geographies and enterprise customers.
• Executive Leadership
  • Serve as a key member of the executive leadership team.
  • Communicate technology strategy to customers, partners, investors, and the Board.
  • Support enterprise sales and strategic customer conversations where technology credibility matters.
  • Help shape Clearview's long-term strategy, investment priorities, and competitive positioning.

Qualifications

• 10+ years of software engineering experience.
• 5+ years leading engineering teams in a SaaS environment.
• Experience managing managers and building scalable engineering organizations.
• A demonstrated track record of recruiting, developing, and retaining top engineering talent.
• Experience building and scaling cloud-based SaaS platforms.
• Strong understanding of modern software architecture, distributed systems, APIs, and multi-tenant platforms.
• Experience with data platforms, analytics, security, and reliability practices.
• Direct experience with AI/ML capabilities, and with AI-assisted engineering, automation, and process redesign to improve productivity, quality, testing, documentation, and delivery workflows.
• Ability to translate AI opportunities into commercial product capabilities.
• Strong product and customer orientation.
• Experience working with enterprise customers and strategic accounts.
• A track record of aligning technology decisions with business outcomes.
• Excellent communication, executive presence, and cross-functional leadership skills.

Nice to Have

• QSR, restaurant, retail, hospitality, franchising, or multi-location operations experience.
• Experience with forecasting, optimization, labor planning, inventory planning, or operational analytics products.
• International software deployment, localization, or multi-region SaaS experience.
• Experience leading technology through rapid growth, geographic expansion, or business transformation.
• Previous VP Engineering, CTO, Senior Director of Engineering, or comparable executive leadership experience.

Benefits

• Employer-paid health and dental coverage.
• Employee Assistance Program (EAP).
• RRSP matching.
• Wellness benefit.