Staff Product Engineer - Enterprise AI
New
M
MZLA Technologies CorporationSoftware Engineering
USA, Canada, Global team requires strong communication and documentation skills for effective collaboration across time zones.Full-TimeStaff
Salary$185k-$220k per year (US); $155,000 - $185,000 CAD (Canada)
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Job Details
- Experience
- 10+ years
- Required Skills
- Artificial IntelligenceFull Stack DevelopmentProduct designRESTful APIsSoftware EngineeringLLM
Requirements
- 10+ years of professional software engineering experience, including significant experience building and shipping production applications with Staff-level scope.
- Strong full-stack engineering skills across user interfaces, APIs, services, integrations, data flows, and infrastructure.
- Experience owning complex product features from technical planning through implementation, launch, and iteration.
- Experience building AI-enabled products or features, including practical familiarity with LLMs, RAG, agents, and AI application architecture.
- Practical experience evaluating and using multiple AI tools, models, frameworks, or development harnesses.
- Experience working with open-source enterprise products, developer tools, or technically complex enterprise software.
- Strong product judgment with the ability to translate partner/customer needs into practical technical plans.
- Ability to operate independently in a fast-changing environment with ambiguous requirements.
- Strong understanding of software quality, testing, maintainability, security, performance, and reliability.
Responsibilities
- Own the implementation of Thunderbolt product features from concept through launch, adoption, and iteration.
- Translate product vision, user needs, partner feedback, and enterprise requirements into practical technical plans and shipped product experiences.
- Work across the stack to build, integrate, test, and ship complete product features.
- Build features for AI-powered chat, search, research, workflow automation, administration, integrations, and enterprise workflows.
- Partner closely with product, design, engineering, enterprise-facing teams, and open-source contributors to clarify requirements and deliver high-quality outcomes.
- Collaborate with senior technical leadership to turn product-shaping technical direction into executable product work.
- Follow through after launch by reviewing usage, qualitative feedback, support signals, quality issues, and adoption patterns.
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