
Head of Software Engineering
Posted Oct 23

Posted Oct 23
This is a fully remote position, open to applicants in United States.
• Lead the software engineering division at Magna across various products and business lines.
• Mentor and develop engineering managers, senior technical leaders, and individual contributors.
• Evaluate and enhance organizational structure, team capacity, role clarity, and leadership coverage.
• Oversee workforce planning, recruitment, onboarding, performance management, succession planning, career development, engineering budget, as well as vendor and contractor relationships.
• Convert company, product, and business-line priorities into actionable engineering roadmaps, staffing plans, and execution commitments.
• Establish operational rhythms for planning, prioritization, estimation, delivery, release management, and executive reporting.
• Enhance the predictability, speed, and transparency of software delivery without compromising quality and risk management.
• Identify dependencies, resource limitations, delivery risks, and organizational obstacles, and drive them to resolution.
• Define and track engineering metrics related to delivery, quality, reliability, security, and team well-being.
• Ensure teams take ownership of software throughout its entire lifecycle, from definition and design to deployment, monitoring, support, incident response, and continuous improvement.
• Guide the modernization of legacy applications and the integration of acquired businesses and platforms.
• Elevate standards for design, code quality, automated testing, observability, documentation, maintainability, and production readiness.
• Strengthen practices across APIs, cloud services, distributed systems, CI/CD, infrastructure as code, and secure software development.
• Ensure adherence to security, privacy, and regulatory requirements, including HIPAA, SOC 2, and client security audits.
• Collaborate with Product, Design, business, operations, go-to-market, and executive leaders.
• Communicate plans, trade-offs, risks, progress, and outcomes to both executive and non-technical stakeholders.
• Promote the responsible use of AI-assisted development tools.
• Assess and implement AI and large-language-model capabilities such as transcript summarization, deposition indexing, and medical record review.
• Establish protocols for evaluation, security, privacy, reliability, human oversight, and monitoring of AI-enabled features.
• First-year objectives include establishing a predictable planning and release cadence, creating a clear organizational design, advancing Recordtrak and Maggie, and deploying at least one AI-enabled capability into production.
• 12+ years of progressive experience in software engineering, with a minimum of 5 years in leadership roles over multiple teams or product areas.
• Proven success in building and leading high-performing software engineering organizations, including managing other managers.
• Demonstrated ability to deliver complex, business-critical software while enhancing execution discipline, quality, and predictability.
• Strong knowledge of modern software architecture, APIs, cloud platforms, distributed systems, CI/CD, observability, security, and production operations.
• Experience in incrementally modernizing legacy systems while continuing to fulfill ongoing business and customer commitments.
• Familiarity with Microsoft technologies (C#, .NET, Azure), as well as modern web, cloud, and data technologies.
• Strong organizational judgment regarding team design, capacity, prioritization, and technical investment.
• Excellent written and verbal communication skills, capable of bridging technical, operational, and commercial audiences.
• Ability to collaborate effectively with senior architects and principal-level technical experts while maintaining clear decision rights and accountability.
• Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience.
• Preferred: experience in delivering AI or machine-learning-enabled products or integrating AI into the software development lifecycle.
• Preferred: experience in developing software that complies with HIPAA, SOC 2, or similar regulatory and client security requirements.
• Preferred: experience in multi-product, multi-business-line, professional service, legal services, private-equity-backed, or acquisition-oriented environments, including the integration of acquired technology platforms and teams.
• The total compensation package encompasses a salary range that considers education, qualifications, certifications, experience, skills, seniority, geographic location, performance, travel requirements, revenue-based metrics, contractual agreements, and organizational needs.
• Flexibility to work remotely within the United States.
• Engaging work with opportunities for career advancement.
Speechify
Speechify
Speechify
Speechify
Get handpicked remote jobs straight to your inbox weekly.