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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading engineering teams to develop and deliver conversational AI solutions, with a strong focus on scalable architecture, AI tooling, and metrics-driven product management. Proven ability to mentor engineers and foster collaboration while ensuring high-quality standards in software delivery.
Highest-signal resume keywords
Engineering ManagementConversational AI DevelopmentTypeScript and Python ProficiencyAWS and Kubernetes ExperienceSaaS Product Delivery
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Engineering ManagementTypeScriptPythonPostgresAWSKubernetesAPI DesignLLM-based SystemsPrompt DesignMetrics-driven Growth
Soft Skills
MentoringCollaborationProblem-solving
Tools & Technologies
Claude CodeAI ToolsMicroservices
Industry Keywords
Conversational AISaaSUser ExperienceAgentic Workflows
Tech Stack
Tools & technologiesAWSKubernetesMicroservicesPostgresPythonReactTypeScript
About the role
Key responsibilities & impact- Lead the Conversational AI engineering team building Alfie, Pebl’s conversational AI assistant
- Build, review, and ship software alongside the team using AI tools
- Redesign planning, development, review, and release workflows around AI
- Use Claude Code and other LLM harnesses to accelerate experimentation and product velocity
- Partner with product management, data teams, and the AI Architect to create an executable roadmap
- Pressure-test technical decisions while implementing the AI Architect’s direction
- Ensure scalable architecture using React, TypeScript, and AWS
- Recruit, mentor, and develop engineers
- Maintain observability, stability, and rigorous quality standards
- Foster in-person collaboration in the Toronto office Monday through Wednesday
Requirements
What you’ll need- 3+ years of formal experience in engineering management leading a team of engineers
- Experience changing team workflows through AI tooling
- Ability to operate backend microservices in TypeScript or Python
- Experience with Postgres and AWS
- Experience deploying on Kubernetes
- Experience designing clean contracts and APIs supporting agentic workflows
- Hands-on experience with LLM-based and agentic systems
- Experience with prompt design, tool/function calling, multi-step agent reasoning, and evaluation
- Proven track record delivering customer-facing SaaS products
- Experience with metrics-driven growth, conversion, and user experience
- Ability to distill complex technical and AI-related trade-offs into actionable plans
- Must be able to commit to in-office collaboration Monday through Wednesday at the downtown Toronto office
- Must live within commuting distance of the downtown Toronto office
Benefits
Comp & perks- Flexible Time Off
- Parental Leave
- Health and Dental Insurance, where applicable
- Retirement Savings
- Employee Incentive Plan
- Equity
- Inclusive culture and equal opportunity employment