(Junior) Decision Strategist (m/f/d)

Stellenbeschreibung:

About us

tulanā builds decision intelligence platforms for operations where failure is not an option: pharmaceutical supply chains where a stockout can cost lives, or airlines recovering from a day of disrupted crews and aircraft.
Highly bespoke use cases with year-long deployment timelines are now apps built, deployed and orchestrated on our platform within weeks. We combine type-safe mathematical modeling (Markov decision processes, simulation and mathematical programming) and LLMs (AI agents) to improve and automate decisions at scale.
We are a small team of mostly PhDs founded by former BCG AI leads.

Your role

As our Decision Strategist , you connect what we build with what our customers need on the ground. Among other things, you will:

  • Own the delivery backlog and milestone plan for our customer deployments, taking customers from signed contract to daily use of the platform

  • Run workshops and stakeholder reviews with customer teams, including operations leads, plant managers, and supply chain directors

  • Work with our Decision Scientists to translate customer requirements into model specifications: you define what the model needs to do and why, they decide how

  • Prepare clear, compelling materials for customers and prospects, and represent tulanā at industry events and trade shows with the founders, including in the US

  • IdentifyrecurringmanualworkacrossdeploymentsandautomateitwithmodernAItools

Your profile

  • 1–5 years of experience in a fast-paced, structured environment (MBB, top-tier IB, or VC strongly preferred)

  • A track record of taking projects through to completion

  • Experience with backlogs, milestone plans, and stakeholder management

  • Technical affinity is a strong plus (enough understanding of data and systems to judge what is feasible), but no CS degree required

  • Willing and able to travel, including to the US, for customer sites and trades hows

What we offer

  • Close collaboration with the founding team
  • Responsibility for live deployments at large enterprise customers
  • A modern, AI-first way of working
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Stelleninformationen

  • Veröffentlichungsdatum:

    27 Okt 2026
  • Standort:

    Berlin
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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