Senior Engineering Manager - AI Product
New
M
MZLA Technologies CorporationOpen-source AI
USA, Canada, Global collaboration requiredFull-TimeManager
SalaryUS: $215,000 - $240,000 USD; Canada: $190,000 - $220,000 CAD
Apply NowOpens the employer's application page
Job Details
- Experience
- 15+ years of professional software development experience
- Required Skills
- Artificial IntelligencePeople ManagementReact NativeCI/CDLLM
Requirements
- 15+ years of professional software development experience, including 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.
- Track record of leading a team that shipped polished, top-tier products held to a genuine standard of craft.
- Strong ability to translate ambiguous product and technical direction into clear plans, ownership models, and delivery momentum.
- Technical fluency with AI-enabled products (LLM applications, RAG workflows, agents, automation, on-device AI, or AI evaluation).
- Experience delivering complex applications across multiple platforms using technologies such as Tauri, Electron, or React Native.
- Experience with enterprise software, regulated environments, security, privacy, compliance, and customer-controlled deployment models.
- Practical experience with local-first, offline-capable, self-hosted, hybrid, on-premise, or air-gapped product architectures.
- Experience improving engineering practices related to technical planning, code review, release readiness, testing, documentation, and CI/CD.
- Excellent communication skills around technical prioritization, release risk, ownership, and quality 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, user experience goals, and technical priorities 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, maintainability, and release readiness.
- Build strong product and architectural context across AI-enabled workflows, integrations, local-first or customer-controlled architectures, and release requirements.
View Full Description & ApplyYou'll be redirected to the employer's site
