AI Automation Engineer at Pontosense designing systems and automations for go-to-market teams in a fast-growing deep-tech company. Building AI agents to streamline operations and enhance integration.
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
25% month-over-month growth
Direct access to the CEO and executive team
Real authority, real ownership
High autonomy, high trust, and meaningful equity, with compensation benchmarked to high-growth startups
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