About the role

Go-to-Market AI Engineer at Equisoft creating agentic workflows for marketing and customer support teams. Focused on building AI tools and integrations for improved customer success.

Responsibilities

Design and build agentic AI workflows and internal tools using Claude Cowork, Zapier, Copilot, Perplexity, and many other AI marketing tools and LLMs.
Implement AI agents to support our customer success and customer support team.
Ensure the integration of AI and human systems to drive the best output.
Prototype quickly, test with real users, and move successful builds into stable, monitored production use.
Define prompts, logic, approvals, error handling, and notifications so systems are robust and trustworthy.
Document workflows in visual tools and enable team members on process improvements.
Collaborate with IT, sales ops, and vendors to manage integrations, APIs, and data syncs between platforms.
Operate within Equisoft’s AI governance and data privacy frameworks.

Technical Experience in product, technology, analytics, automation, or similar builder roles supporting marketing or growth teams.
Proficiency in context engineering and LLM-based content workflows (Claude, ChatGPT), AI-powered marketing automation and analytics platforms, and the ability to integrate generative AI tooling into the existing MarTech stack.
Demonstrated experience building multi-step agentic workflows (not just single-prompt automations).
Familiarity with Claude Cowork or equivalent folder-based agent orchestration tools.
Experience with HubSpot MCP and other API integrations.
Comfort working directly with a CRO and Head of Support as primary stakeholders.
Experience working with CRM and marketing technology platforms (e.g., Salesforce, HubSpot) and/or customer support platforms (Zendesk) would be a huge plus.
Excellent knowledge of English & French (spoken and written).