Senior Engineering Manager - AI Product
New
M
MZLA Technologies CorporationSoftware Development, AI
USA, Canada, Global team requires effective collaboration across time zones.Full-TimeManager
SalaryUS: $215,000 - $240,000 USD; Canada: $190,000 - $220,000 CAD
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Job Details
- Experience
- 15+ years of professional software development experience, including 5+ years of experience managing technical teams.
- Required Skills
- Artificial IntelligenceReact NativeCI/CDSoftware EngineeringLLM
Requirements
- 15+ years of professional software development experience.
- Significant experience in senior engineering leadership or complex product delivery roles.
- 5+ years of experience managing technical teams, including senior engineers or senior individual contributors.
- Technical fluency with AI-enabled products (LLM applications, RAG workflows, agents, automation, on-device AI).
- Experience delivering complex applications across multiple platforms (desktop, web, mobile) using frameworks like Tauri, Electron, or React Native.
- Experience with enterprise software, regulated environments, security, privacy, and compliance readiness.
- Practical experience with local-first, offline-capable, self-hosted, or customer-controlled product architectures.
- Experience improving engineering practices related to CI/CD, testing, technical planning, and documentation.
- Excellent communication skills around technical prioritization and tradeoffs.
Responsibilities
- Lead engineering execution by clarifying priorities, ownership, timelines, risks, dependencies, and quality expectations.
- Manage engineers and contractors, including coaching, feedback, prioritization, performance support, and team development.
- Stay close to the codebase by contributing code, reviewing technical work, evaluating tradeoffs, and helping the team maintain momentum and quality.
- Partner with technical and product leadership to turn product direction, AI strategy, and user experience goals into coordinated engineering plans.
- Establish planning, review, release, and follow-through practices that improve predictability and reduce bottlenecks.
- Maintain high standards for code quality, testing, documentation, reliability, security awareness, and maintainability.
- Lead hiring, onboarding, and resource planning as the team grows.
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