engineering
Posted YesterdaySuccess Engineer
at Telli
Berlin, GermanyOn-site
Responsibilities
- You monitor agent performance, optimise prompts and flows, surface and close usage gaps, find new use cases, and engineer the conditions for retention and expansion.
Requirements
- Most people today still cannot simply say what their problem is in natural language when communicating with businesses. AI changes that.
- Every B2C company - from energy providers to telcos to insurers - will use AI agents to talk to their customers.
- Today, leading B2C companies like Sky are already using telli to deploy thousands of voice agents to provide their customers with a new experience.
- But building a first voice agent is easy, getting it to drive real outcomes for customers and businesses is the hard part. telli helps companies build, deploy, and improve consumer-facing AI voice agents at scale.
- We are a small, AI-pilled team that likes to solve hard problems.
- Be it engineering, product, or GTM - we build, experiment, and move fast, while heavily leveraging the capabilities of AI models.
- You are the trusted counterpart customers turn to after go-live to drive deep AI adoption, retention, and expansion as telli scales.
- AGENT DEVELOPMENT & DEPLOYMENT - Partner directly with engineering and customers to build, design, and refine AI agents that handle thousands of customer conversations daily - Track agent performance against key success criteria and continuously improve - Debug technical problems across integrations, agent performance, and call quality - Act as first point of contact for all customer requests and technical issues in your customer portfolio 3.
- experience in technical customer-facing roles: you've supported customers in technical environments like SaaS support, technical account management, solutions engineering, implementation, or consulting - You're a confident communicator who builds trust: you can explain technical concepts clearly to both technical and non-technical stakeholders, and build strong working relationships with users, admins, and decision-makers - You're technically hands-on with AI tooling: you've built workflows and AI agents