About Intelswift Intelswift automates customer support with AI: instant, personalized responses 24/7, lower costs, and effortless scaling.
This is a hands-on role: you run the demos, close the deals, and configure the AI assistant for each client yourself. You guide enterprise clients from first contact through launch and ongoing support.
What you’ll do:
Guide enterprise clients through the full journey of implementing our AI solution for customer service: calls, demos, closing deals
Run discovery sessions to uncover their support processes, common requests, and scenarios
Collect knowledge bases and chat examples, spot gaps, and request missing materials from clients
Validate and structure knowledge base content
Configure the AI assistant / Copilot: prompts and scenarios
Own the quality of the AI assistant’s responses: test, analyze incorrect answers, and apply fixes
Gather feedback after launch and share insights with the product team
What we’re looking for:
2-3 years working with large B2B clients: business development, sales, implementation, account management, or customer success in SaaS / AI
Strong communication skills: leading conversations, uncovering client needs, and explaining technical concepts to non-technical people
Understanding of customer support / contact center processes
Experience with LLMs: prompting, evaluating response quality, handling hallucinations — or the drive to learn fast
Ability to structure unstructured information
Fluent English
Who you are:
Proactive with strong ownership: you take tasks through to results on your own
Creative problem-solver: every client has unique processes, so there are no ready-made templates
High energy and drive: comfortable in startup pace, juggling several clients at once
Team player: you work closely with product, engineering, and QA, and stay open to feedback
Nice to have:
Experience implementing SaaS / chatbots
Zendesk, Intercom, Voiceflow, Botpress, or similar platforms
HubSpot or other CRMs
Basic Python or SQL
Other European languages
What we offer:
Competitive salary and equity options
Fully remote, flexible schedule
Early team member in a fast-growing AI startup
Autonomy in decisions and room to grow
KPIs:
New signed clients / new MRR
Demo → deal conversion
Time-to-value: client launched within 30 days
Quality of the AI assistant’s responses
Client satisfaction: CSAT / NPS
