(Senior) Product Manager (AI)

DUDE CHEM; Berlin; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Benefits dieser Stelle

Equipment budget

26 vacation days

Annual retreat

Dance or JobRad

Fitness memberships

Team events

Zusammenfassung

autarc in Berlin is seeking a Product Manager to shape and maintain the product roadmap for our AI-powered OS in the energy sector. You will work with ML, software, and iOS engineers to ship features and run sprint preps, leveraging AI tools to accelerate delivery.

The role requires 2–5+ years in product management, strong German language skills, and experience in AI-first teams. This hybrid position is located in Berlin with flexible work options.

Qualifikationen

• 2–5+ years of Product Manager experience in B2B SaaS.
• German language fluency; Berlin-based with hybrid work.
• Experience in AI-first teams and AI-native tooling.
• Proven record of user interviews and product discovery.

Aufgaben

• Support leadership in shaping and prioritising the product roadmap.
• Run product discovery with direct customer engagement.
• Manage product operations in Linear: triage, prioritisation, sprint hygiene.
• Build and ship features using AI-assisted development tools.
• Lead planning sessions with teams and engineering leads.
• Represent autarc in customer calls, sales meetings, and training.
• Collaborate with Engineers to ship material.

Kenntnisse

PM experience (2-5+ yrs)

B2B SaaS experience

AI-first mindset

User interviews

AI/ML/Computer Vision interest

German language

Jobbeschreibung

Company

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

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.

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