Hybrid AI Automation Engineer

at Pontosense

• Job title: AI Automation Engineer
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Apollo, JavaScript, Python, SQL, TypeScript
• Location requirements: Hybrid, Toronto, Canada

About the role

• AI Automation Engineer designing and implementing automations for GTM teams at Pontosense. Focused on embedding AI to streamline operations and enhance workflows.

Responsibilities

• Design and ship automations in n8n / Make / Zapier that connect HubSpot, Clay, Apollo, Teams, Google Workspace, and internal tools.
• Build and maintain AI agents (LLM-based) for research, summarization, draft generation, and action triggers, with clear guardrails.
• Own integrations and data flows between GTM systems (APIs, webhooks, data quality rules, lifecycle logic).
• Monitor and improve reliability: logging, alerts, dashboards, and audit trails for key workflows.
• Document what you build and run internal walkthroughs so GTM teams can request and adopt new automations confidently.

Requirements

• Degree in Computer Science, Software Engineering, Management Engineering, or strong equivalent experience.
• Hands‑on experience building automations with n8n / Make / Zapier (projects and co‑ops welcome).
• Familiarity with CRM systems (HubSpot is a plus) and their APIs/workflows.
• Strong JavaScript/TypeScript or Python skills; experience with REST APIs, webhooks, and async workflows.
• Interest in AI‑native workflows (LLMs, prompt engineering, AI coding tools) as a way to ship better systems, not as research for its own sake.
• Builder mindset: you like taking vague problems from “this is broken” to “this is shipped, monitored, and relied on.”
• Bonus: Clay experience (enrichment and routing pipelines).
• Apollo experience (prospecting workflows, data quality, sequencing inputs).
• Microsoft Teams / Power Automate experience.
• Basic SQL and experience with lightweight databases or tools (Supabase, Airtable).
• Startup or founder‑adjacent experience where you owned scrappy systems end‑to‑end.

Benefits

• High autonomy, high trust, and meaningful equity, with compensation benchmarked to high‑growth startups.
• Direct access to the CEO and executive team.
• Real authority, real ownership.
• Build the AI backbone of a company where the product literally helps save lives.