Senior Manager, AI Agents and Platform
New
CanadaFull-TimeManager
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 5+ years
- Required Skills
- SQLData AnalysisMachine LearningPrompt EngineeringDistributed Systems
Requirements
- 5+ years of experience in technical product management, management consulting with a strong technical focus, or engineering-adjacent roles in fast-paced, high-growth environments.
- Strong understanding of modern AI systems, including LLMs, agent-based architectures, APIs, and production ML or automation workflows.
- Hands-on familiarity with data analysis (including SQL) and comfort using data to validate hypotheses and guide product decisions.
- Proven ability to translate complex technical systems into clear product strategy and cross-functional execution plans.
- Strong systems thinking with the ability to evaluate trade-offs in distributed systems, performance constraints, and AI model behavior.
- Demonstrated experience shipping scalable, production-grade products in ambiguous, fast-moving environments.
- High intellectual curiosity and strong intrinsic motivation to work deeply on emerging AI technologies and system design challenges.
Responsibilities
- Lead the end-to-end development and scaling of the AI agents platform, owning roadmap definition, execution strategy, and production rollout of intelligent automation systems.
- Design and optimize LLM-based workflows, including prompt engineering, evaluation frameworks, guardrails, and system architecture to improve accuracy, reliability, and efficiency at scale.
- Partner closely with engineering teams to build robust, production-grade AI systems, balancing trade-offs between latency, cost, performance, and user experience.
- Establish AI platform standards and best practices across the organization, acting as the technical bridge between product, engineering, and business stakeholders.
- Drive continuous improvement in automation rates, customer satisfaction, and system performance through structured experimentation, data analysis, and model iteration.
- Collaborate with external AI partners to evaluate and deploy emerging capabilities, including next-generation LLMs and voice or agent-based technologies.
View Full Description & ApplyYou'll be redirected to the employer's site
