Salesteq

The automotive industry moves trillions a year and still runs on a phone queue, a web form and a salesperson who calls back tomorrow. A car is sold, financed, serviced and traded the way it was in 1914, with a website on top. We have set out to put that industry on autonomous rails: commercial operations that run themselves. AI employees that talk to every customer in seconds, in their language, on every channel, that decide, act, book straight into the systems the industry runs on, and get better every day. Dealer groups first. Then the importer, the OEM, the fleet, the finance company, every place a vehicle meets a customer.

It already runs: about a thousand real customer conversations a day for BMW, MINI, Ford and Hyundai dealer groups, and a pilot with a Mercedes-Benz group in Germany. What powers it is not a chatbot. It is a distributed system with language models as components inside it: state, queues, retries, dealer systems that answer in fifteen seconds or not at all, a hundred ways for an output to pass every check and still be wrong. For the next stage we are looking for a strong team member at co-founder level who wants to go deep on autonomous systems, model development, system design, and the real, live deployment of a new breed of system, and who takes the hardest problems because they are the hardest. Flat hierarchy: you are treated as an equal member of the team and your reward is linked to the outcome. The team pushes the frontier relentlessly. There are no meetings and no politics. There is a system in production, customers on the other end, and the next thing to ship.

What you will build and do

1. Own the agent runtime end to end: orchestration, tool execution, memory, handover to humans, integrations into dealer management systems and messaging channels, in production for real customers from your first month.
2. Build evals and traces before features. Every change to an agent ships with a way to prove it did not make things worse.
3. Decide the architecture with the founders: what runs where, which model does which job, what a session may cost, what happens when a component fails.
4. Ship every week. The product is in production; the customers are dealer groups whose customers are waiting on the other end.

Who we look for

1. Has built AI systems from the ground up, not wrappers over an API. Strong senior experience shipping systems in production. A PhD is a plus, not a requirement.
2. Sees an agentic system as a distributed system with the LLM as one component or orchestrator inside it. Thinks in state, failure modes, retries and observability, not just prompts.
3. Uses coding agents effectively as a daily working tool.
4. Builds evals and traces before building features. Understands that a large share of failures here are semantic, not mechanical: output can pass every check and still be wrong.
5. Conscious of cost and latency: how many tokens, how many dollars per session, where a smaller model does the job.
6. Comfortable with incomplete specs. Makes decisions with missing information, documents them, and keeps moving. This is an early stage startup; nobody will tell you what to do step by step.
7. Wants a flat hierarchy and means it: takes on the hardest problems, argues for what is right, and carries the outcome as an equal member of the team, with a reward linked to that outcome.
8. Wants to go deep: autonomous systems, model development and fine tuning, system design, and deployments that real customers depend on the same day. No meetings, no politics, shipping.

What we offer

Role

Full time, remote from wherever you build best, with time together in person when it matters.

Pay

A fixed salary and a share in the company that links you to the outcome, discussed openly in the first conversation.

Work

Direct work with the founder and our AI lead, who built the current system. No meetings, no politics. A product in production with the most complete automotive AI reference in the region; your code answers real customers the week it ships.

How we work

01 Flat hierarchy

You are an equal member of the team. The best argument wins, whoever makes it.

02 Rewarded on the outcome

A share in the company links you to what we build, not to a title.

03 No meetings, no politics

Written decisions, a system in production, customers on the other end.

04 Ship every week

Your work answers real customers the week it lands. We push the frontier and measure it.

How to apply

One page: the best AI system you built from the ground up and what it did in production, how you evaluated it, and the first thing you would change about how agentic systems are usually built. A link to code we can read beats any cover letter. 

Cars have been sold and serviced the same way since 1914: a showroom, a phone queue, a form, a salesperson who calls back tomorrow. Salesteq builds the autonomous commercial system that replaces that: AI employees that answer every customer in seconds on the website, WhatsApp, Instagram, Messenger and the phone, in Arabic, English and German, qualify the demand, win back what was lost, and book the workshop straight into the dealer's own systems. The dealer keeps the customer. The machine does the work.

This is not a plan. It runs today across BMW, MINI, Ford and Hyundai in Saudi Arabia, with about a thousand real customer conversations a day, with a BMW dealer in Switzerland, and in pilot with a Mercedes-Benz group in Germany. The next step is the layer every surface reads from: a customer asks ChatGPT, Google or a voice assistant, and the dealer's stock, prices and diary answer. Whoever builds that layer for Europe's dealer groups decides how cars are sold on this continent for the next twenty years. Nobody has yet built the machine that makes the European market come to us. That is this job.

What you will build and do

1. Own European revenue end to end: awareness, pipeline, meetings, pilots, signed contracts. First markets Germany, Switzerland, Austria, then the Netherlands and the UK.
2. Build the machine: the dealer group universe, outbound a group owner answers, case stories, LinkedIn, a newsletter to dealer groups, AI native demo sites per prospect, with AI agents doing the volume work and you deciding what runs.
3. Walk into the room: meetings with owners and managing directors in German and English, the demo, the compliance conversation, the pilot, the group wide contract.
4. Measure everything: cost per conversation, per meeting, per pilot. Kill what does not work, scale what does.

Who we look for

1. Someone who loves to invent and build. Started things, shows numbers and failures in public, left somewhere because it was too slow.
2. Has built a growth engine at a B2B company and closed with it, or sold their own product as a founder. Can show the dashboard and three signed deals with numbers.
3. Already runs their own work with AI tools and agents, and wants to run what a team would run. The founder coaches the stack personally.
4. German at negotiation level is a plus, English fluent. The largest market and the reference are German speaking.
5. Sells what runs. Automotive is learnable; how a family owned dealer group buys must be understood by month three.

What we offer

Role

Full time, any location in the CET time zone from which the job can be done, travel to dealer groups when it matters.

Pay

A fixed salary, an uncapped commission on every contract the customer pays, and share options in the company building this.

Work

Direct work with the founder, who joins every first meeting until you have closed one, and with a product team that ships to production every week.

How we work

01 Flat hierarchy

You are an equal member of the team. The best argument wins, whoever makes it.

02 Rewarded on the outcome

A share in the company links you to what we build, not to a title.

03 No meetings, no politics

Written decisions, a system in production, customers on the other end.

04 Ship every week

Your work answers real customers the week it lands. We push the frontier and measure it.

How to apply

One page: the best thing you ever built and what it produced, three deals you closed with numbers, and the first thing you would build here. No cover letter.