Product Manager (AI)

Das ist der Job

Company Founded in Berlin, autarc is a ~40 person start-up who were part of Y Combinator’s S24 batch in San Francisco.

Darum lohnt es sich

Our team consists of people in Sales, Tech and Operations, with the Engineering & Product department currently ~20 people, as we continue to grow throughout the year. Role description We're looking for a Product Manager to work in one of our key product teams in building the leading OS for Europe's heat pump and solar workforce.

You'll work alongside a team that consists of a Machine Learning Engineer, Software Engineers and an iOS Engineer, helping shape and maintain our product roadmap, run planning sessions and sprint preps with team leads, manage tickets in Linear and open Cursor to ship stuff yourself.

Other responsibilities will be as follows: Support leadership in shaping and prioritising the product roadmap Run product discovery alongside our teams through direct customer engagement Manage product operations in Linear: triage, prioritisation, sprint hygiene Build and ship features or prototypes directly using AI-assisted development tools (Lovable, Figma, Cursor, Copilot) Facilitate planning sessions with product teams and sprint preps with engineering leads Represent autarc in customer calls, sales meetings, and training sessions Work alongside our Engineers in building and shipping material This is a Product Manager position but as the landscape of the industry shifts, we also expect you to build and tangibly contribute on a day-to-day basis.

Requirements 2-5+ years of experience as a Product Manager Exposure to working in B2B SaaS AI-native in working with tools to help you run faster and jump higher Experience having worked in an AI-first team/company Track record in conducting user interviews and product discovery A desired obsession to go deep AI, Machine Learning and Computer Vision Berlin-based and willing to work hybrid Native German speaking What we offer Freedom to choose your own equipment (within a budget) 26 paid vacation days An annual team retreat The choice between Dance or JobRad for mobility The choice between Classpass or Urban Sports Club for fitness Regular team events, lunches and activities Next steps If your application is successful, you will participate in the following: Screening call with Louis (Recruiter) Culture fit call with an Engineer Take home case study/exercise Final on-site interview with Etienne (CEO) and the team #J-18808-Ljbffr We're always looking to build the next generation product and with a clear vision to become the agentic OS for the workforce behind the energy transition, that includes leveraging LLMs and NLP in building an AI voice agent to increase efficiencies.