Product Engineer

This is a role for engineers who care about velocity and solving real customer problems. You wont just ship code - youll own projects end-to-end make core product and technical decisions and shape the trajectory of the company. We dont have PMs. As a Product Engineer youll manage features across the entire product lifecycle: deciding what to build making trade-offs on what not to ship and polishing features until theyre genuinely delightful to use. If youre an engineer who has always wanted to move into product or a PM who wants to go back to building - this is for you.

Location: Berlin
Employment Type: Full-time
Location Type: On-site in Berlin
Level: Mid-Senior Level
Compensation: 85k-160k

About the company
Every 10 minutes 18 million conversations happen between businesses and consumers around the world. For decades the consumer side of those conversations sucked: long queues robotic menus repeated explanations and unhelpful advice. Most people today still cant simply say what their problem is in natural language when communicating with businesses.

AI changes that. For the first time companies can have natural conversations with customers at massive scale. Every B2C company - from energy providers to telcos to insurers - will use AI agents to talk to their customers. The number of conversations businesses will handle is going to explode in the coming years.

Were solving the challenges that come with that shift. Leading B2C companies like Sky are already using our platform to deploy thousands of voice agents and deliver a genuinely new customer experience. Building a first voice agent is easy - getting it to drive real outcomes for customers and businesses is the hard part. We help companies build deploy and improve consumer-facing AI voice agents at scale. This will become one of the most important software categories of the next decade.

We are a small AI-pilled team that likes to solve hard engineering product or GTM - we build experiment and move fast while heavily leveraging the capabilities of AI models. We take real ownership challenge ourselves and keep a low-ego culture.

What we look for
Velocity - everything you do you do with speed
High Agency - Ill figure it out mentality
High Ownership - nobody has to tell you what to do; you just do things
First Principles Thinking - you dont take what people say at face value; you understand the underlying problem
AI-pilled - you heavily leverage AI in your work
Comfort with ambiguity - you can jump into novel ambiguous problems understand the root cause and solve them
Team thinking - you optimise for the engineering orgs output not your own
This probably isnt for you if
You prefer a remote-first environment
You want to be told exactly what to do
You mostly care about the tech not business outcomes
You want to work 9-5

Ideal candidate
We need a full-stack engineer with a product-owner mindset extreme velocity and a high sense of agency. The ideal candidate has a proven track record of owning projects end-to-end translating customer problems into solutions and making pragmatic trade-offs. While the stack is TypeScript and Python strong engineering fundamentals and a figure it out mentality are far more important than specific language experience. Without evidence of high ownership and a bias for action (e.g. side projects startup experience key player in past roles) do not proceed. The culture is intense and built for those who want to be fully immersed. They expect new hires to ship to production on day one and have no code reviews to maximize speed. The team works in-person often in pairs and values acting quickly and fixing things later. This is not a typical engineering role; its for someone who thrives on extreme ownership and velocity in a high-stakes startup environment.

Perks
Very competitive pay equity package (85K-160K)
Access to any AI tools
Free dinners if you stay late
Urban Sports Club membership
Relocation support if youre not already in Berlin

Interview process
1. Screening call with recruiter (can be skipped by Telli for strong candidates).
2. Live online coding challenge with a reverse system design component.
3. Full-day on-site in Berlin (9:0015:00) covering system design coding product thinking and a 90-minute top grading career deep-dive.
4. Reference calls with contacts provided by the candidate during the on-site interview.

Note: Strong candidates with excellent references may be invited directly to the on-site stage.