AI Agent Designer
O
Workable workplace: remote Workable remote: True Workable locations: Netherlands. Germany. Ireland. Belgium. Austria. Poland, across multiple global time zonesFull-Time
Salary not disclosed
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Job Details
- Languages
- Excellent English communication
- Required Skills
- Project ManagementRESTful APIsEnglish communicationSaaSHubSpotZendeskPrompt Engineering
Requirements
- Experience leading customer implementations, onboardings, or technical projects in a SaaS environment.
- Strong technical aptitude, comfortable working with APIs, integrations, and configuration tools (Zendesk, Intercom, HubSpot, and similar).
- Hands-on experience with AI agents and prompt engineering, or a strong willingness to learn fast, Open is AI-native, so you'll be working with agents every day.
- Excellent project management instincts, you keep multiple implementations on track and on time without dropping the ball.
- Excellent English communication, clear writing and confident speaking on video calls with enterprise stakeholders.
- A bias for action: you operate effectively in fast-moving environments, prioritize speed and customer impact, and find creative ways to ship.
- Comfortable working remotely with customers across multiple global time zones.
- Experience deploying or supporting LLM/AI systems in production.
- Familiarity with eval frameworks, agent tooling, or prompt engineering at scale.
- Previous experience as a founding implementation hire, solutions engineer, or technical CSM at an early-stage startup.
- A track record of turning messy, ambiguous customer problems into structured, repeatable processes.
Responsibilities
- Own every deployment from kickoff through go-live, discovery, configuration, integration, training, handoff. You set the pace and you're accountable for the outcome.
- Get into the platform, build conversation flows, tune agent behavior, wire up APIs, until it's doing exactly what the customer needs.
- Run enablement sessions with customer teams at every level. The technical setup is half the job. The other half is making sure people actually use it and believe in it.
- Production issues don't wait. When something's broken or not performing, you dig in, methodically, fast, and without needing someone to hand you the answer.
- You'll have context no one else has, what's confusing customers, what's breaking, what's missing. Feed that back to the team. Your observations will directly influence what we build next.
- Every implementation makes you smarter. Write it down. Build the playbook. What you learn becomes how Open scales.
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