Engineering Manager leading Cohere’s inference APIs, SDKs, and Dashboard teams. Guiding backend and full - stack engineers at a security - first enterprise AI company.
About the role
- AI-native VP leading engineering and SaaS operations for CXT Software’s courier, route delivery, and healthcare logistics platform. Driving AI adoption, reliability, architecture, and customer outcomes.
Responsibilities
- Lead, hire, and develop Directors, architects, and their teams; set and hold the hiring bar
- Make AI-assisted development, testing, review, and operations standard across the organization
- Verify AI adoption through real behavior rather than dashboards and coach leaders and skeptical senior engineers through the change
- Run engineering experiments with baselines and clear scale, modify, or stop decisions
- Own quality, releases, and production reliability, including uptime and SLAs, on-call, incidents, security operations, and cloud cost
- Own architecture across products, including legacy modernization and standards for AI-generated code
- Plan and deliver the roadmap with Product, raise trade-offs early, and drive customer escalations to root cause with Customer Success
- Lead the engineering and SaaS operations organization end to end, reporting to the CTO
- Shape how the organization builds and runs software with AI and measure quality, reliability, cycle time, predictability, and customer impact
Requirements
- Degree in Computer Science or a related field, or equivalent experience
- 12+ years in software engineering, including 5+ years in engineering leadership and 2+ years managing managers
- Experience leading a multi-team engineering organization through managers across several products with separate codebases, including legacy modernization
- Experience leading engineering for a B2B SaaS product and owning production operations through a team, including reliability, on-call, incidents, security operations, and cloud cost
- Uses AI coding assistants and agents in production work today and has led their adoption across multiple teams with measured results
- Experience designing and running engineering experiments with baselines, success metrics, and clear decision criteria
- Hands-on experience with flow-based delivery (Kanban or similar) at scale, CI/CD, automated testing, and release management
- Ability to read code and review architecture
- Experience in the listed stack is a plus: .NET, C#, JavaScript/TypeScript, Angular, SQL, MAUI, and Azure PaaS
- Experience leading a remote, distributed engineering organization
- Professional English
- Regular overlap with North American business hours
- Nice to have: Software architect or Staff/Principal engineer background; logistics, routing, dispatch, courier, or healthcare operations software; Azure managed services, infrastructure as code, SRE, SOC 2, or FinOps; acquisition integration or multi-business-unit engineering; AI-enabled product features such as embedded agents, MCP connectors, or AI vision
Benefits
- Access to leading AI engineering tools and platforms, and a real mandate to shape how they are used across the organization
- 100% remote and global
- Flexible work hours and asynchronous work
- Dedicated growth path with consistent, meaningful feedback and support toward career goals
- Access to leading tools, playbooks, and technology across the Ionic portfolio
- Engaging community including coffee chats, happy hours, cooking classes, book clubs, and more
- Independent contractor engagement
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