AI-NATIVE SOLUTIONS ENGINEER
À propos
Lineshift creates AI agents for automotive businesses: dealerships, repair shops, and car rental companies. Our agents handle real conversations: answering calls, booking appointments, capturing leads.
They don’t just assist: they save missed opportunities and generate measurable ROI.
Our AI agents handle thousands of conversations every day. We are growing fast, profitable from day‑1.
But the bigger idea: AI isn’t just our product. It’s how the company runs.
Learn more about our product:
Descriptif du poste
Location: France
Experience: 1–2 years
Type: Full‑time
Company: Lineshift
About Lineshift
Lineshift is building AI‑powered voice agents for automotive businesses — dealerships, repair shops, and car‑rental companies.
But More Importantly we’re building an AI‑native company from day one.
Not just our product — our internal operations, workflows, and customer relationships are being reinvented using AI.
This role sits at the center of that transformation.
To learn more visit our website
Role Overview
This Is a Hybrid Role Combining
- Technical Customer Success
- Solutions Engineering
- AI Agent Builder / Operator
You will be one of the first employees working directly with customers to:
- Deploy and configure AI voice agents
- Translate real‑world business needs into AI behavior
- Build automations that scale customer success itself
What You’ll Do
1. Deploy & Configure AI Agents
- Configure AI voice agents for each customer (dealerships, rental companies, etc.)
- Customize prompts, flows, and behaviors based on business needs
- Iterate quickly based on real‑world conversations and outcomes
2. Customer Interaction & Success
- Work directly with customers to understand their workflows, pain points, and goals
- Translate feedback into concrete configurations and improvements
- Lead onboarding, follow‑ups, and continuous optimization
3. Integrations & Technical Adaptation
- Connect our system to customer tools (CRMs, DMS, scheduling systems, etc.)
- Build lightweight integrations or scripts (APIs, webhooks, automation tools)
- Adapt deployments to fit real‑world constraints
4. Level 2 Support & Debugging
- Investigate issues escalated from Level 1
- Diagnose bugs across the stack (telephony, AI, integrations)
- Propose fixes or workarounds, and collaborate with engineering when needed
5. Customer Reporting & Continuous Improvement
- Lead periodic reporting with customers (performance, ROI, insights)
- Propose improvements, new features, and deployment changes
- Own the lifecycle of each customer deployment
6. Build AI‑Native Customer Success
This is where the role becomes unique.
You won’t just do customer success — you’ll automate it.
You Will Design And Implement Meta AI Agents That
- Handle onboarding flows automatically
- Generate and send reports
- Detect anomalies in call data
- Suggest fixes and optimizations
- Assist in bug triage and resolution
You’ll Leverage Tools Like
- OpenAI APIs
- n8n / automation platforms
- “vibe coding” tools (rapid AI‑assisted development)
- Internal data pipelines
Goal: scale yourself x10 using AI.
Requirements
Experience
- 1–2 years in a technical support, solutions engineering, or customer success role
Technical Skills
- Comfortable with:
- APIs, webhooks, basic integrations
- Cloud environments (AWS, Azure, or GCP)
- Windows environment
- Debugging technical issues
- Ability to code:
- Python and/or JavaScript
- Build scripts, small tools, or automations
AI‑Native Mindset
- Proven experience using AI tools such as:
- OpenAI API or similar
- Claude / code assistants
- n8n or similar automation tools
- Rapid prototyping / Lovable or similar “vibe coding” tools
- Strong curiosity for:
- LLMs
- Prompt engineering
- AI‑driven workflows
Communication
- Strong communication and empathy with customers
- Fluent in English and French
What Makes This Role Different
- You are not just managing customers: you are redefining how customer success works
- You will directly shape:
- Product behavior
- Internal processes
- AI‑driven operations
- You will operate at the intersection of:
- AI
- Product
- Customer experience
- Automation