
51 - 200 employees
🔐 Security
🔧 Hardware
Security • Automotive • Hardware
Canopy is a company that provides advanced security solutions specifically designed for pickup trucks. Acquired by Ford Motor Company, Canopy focuses on enhancing vehicle security through products like the Pickup Cam, a camera system that offers HD live streaming and AI-powered notifications to monitor and protect pickup truck beds. Their systems are equipped with features like cloud video storage and LTE connectivity, enabling truck owners to manage security and receive real-time alerts about intrusions. Canopy aims to revolutionize vehicle security, particularly for open pickup beds, providing peace of mind for truck owners. The company emphasizes ease of use with DIY setup, over-the-air updates, and premium customer support.
🔥 2 minutes ago
🚗 Michigan – Remote
💵 $123.8k - $173.1k / year
⏰ Full Time
🟠 Senior
🔴 Lead
👮♀️ Software Engineering Manager
🦅 H1B Visa Sponsor
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51 - 200 employees
🔐 Security
🔧 Hardware
Security • Automotive • Hardware
Canopy is a company that provides advanced security solutions specifically designed for pickup trucks. Acquired by Ford Motor Company, Canopy focuses on enhancing vehicle security through products like the Pickup Cam, a camera system that offers HD live streaming and AI-powered notifications to monitor and protect pickup truck beds. Their systems are equipped with features like cloud video storage and LTE connectivity, enabling truck owners to manage security and receive real-time alerts about intrusions. Canopy aims to revolutionize vehicle security, particularly for open pickup beds, providing peace of mind for truck owners. The company emphasizes ease of use with DIY setup, over-the-air updates, and premium customer support.
• Define and execute the company's data platform, analytics, and governance strategy. • Build and lead a high-performing team of data engineers, analytics engineers, data scientists, and analysts as the organization grows. • Establish technical roadmaps, architecture standards, and best practices for data systems and services. • Partner with executive leadership to identify opportunities to leverage data for product innovation, customer experience, operational efficiency, and business growth. • Develop metrics and KPIs that measure product performance, customer engagement, and business outcomes. • Lead the development of data pipelines, ETL/ELT processes, streaming architectures, and data integration solutions. • Establish data quality, observability, lineage, cataloging, and reliability practices. • Develop dashboards and data products that provide actionable insights to engineering, product, operations, and leadership teams. • Develop and maintain enterprise data governance policies, standards, and operating procedures. • Define data ownership, stewardship, retention, classification, and lifecycle management processes. • Lead initiatives related to privacy, consent management, and regulatory compliance, including GDPR, CCPA, and other applicable regulations. • Partner with Security, Legal, and Compliance teams to implement controls that protect customer and product data. • Establish auditability, data access controls, and governance processes for AI and analytics workloads. • Support security reviews, risk assessments, compliance audits, and customer data inquiries.
• Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field. • 8+ years of experience in software engineering, data engineering, analytics engineering, data science, or related disciplines. • 3+ years of experience leading technical teams, including hiring, mentoring, performance management, and technical leadership. • Experience designing and operating modern cloud-based data platforms and data pipelines. • Strong understanding of data warehousing, data lakes, ETL/ELT architectures, data modeling, and data integration patterns. • Proficiency with SQL and at least one modern programming language such as Python, Java, or Scala. • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. • Experience implementing data governance frameworks, data quality programs, and data lifecycle management practices. • Working knowledge of privacy and data protection regulations, including GDPR and CCPA. • Experience building analytics solutions, dashboards, and KPI frameworks that support business decision-making. • Strong stakeholder management, communication, and collaboration skills. • Proven ability to balance strategic planning with hands-on technical execution.
• Comprehensive medical benefits coverage, dental plans and vision coverage. • Health care and dependent care spending accounts. • Employee and Family Assistance Program (EAP). • Employee discount programs. • Retirement plan with a generous company match. • Generous Paid Time Off, Sick, and Holidays • Family Leave (Maternity, Paternity) • Short- and long-term disability • Life insurance and accidental death & dismemberment insurance
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