Builder

Kurz zusammengefasst

Tacto is a Munich‑based startup that creates the intelligence layer linking AI‑driven software to the physical world of manufacturing. Its Procurement Intelligence Platform helps industrial companies replace Excel‑heavy processes with data‑rich, AI‑enabled solutions, and it already serves more than 300 firms across Europe. The company is backed by Sequoia, Index and leading European tech entrepreneurs, and it is expanding its team of "Builders" who own problems from discovery through delivery. Builders at Tacto spend their days identifying costly procurement pain points, meeting with buyers and procurement leads on‑site or via calls, and rapidly prototyping solutions using AI tools such as Claude, Cursor or Codex. They turn prototypes into production‑ready features that generate revenue, often working in small squads of one to three Builders on quarterly bets. The role blends customer interaction, rapid experimentation, and end‑to‑end delivery without a formal PRD, emphasizing outcomes over code elegance. The company looks for candidates who have already built a product or service that users adopted and who took responsibility for its results, whether as a founder, a member of a fast‑growing product team, or through a launched side project. Applicants must have a strong commercial sense, good product judgment, and daily experience building with AI tools (Claude, Cursor, Codex or similar). Fluency in German is required, and a solid command of English is a plus. Comfort presenting to industrial customers and the ability to reason about data and systems rather than low‑level code are also essential. Nice‑to‑have attributes include a hunger for impact, creativity, and a willingness to learn quickly; early‑career candidates are welcomed if they demonstrate a steep learning curve. The position is office‑based in central Munich four days a week, within a vibrant team of over 100 builders. Tacto offers a competitive salary, equity participation, 30 + vacation days, a development budget, and regular exposure to industry experts through lunch‑learns and peer mentoring. What the role asks for: - Built a product or service that users adopted - Strong commercial sense and product judgment - Daily experience building with AI tools (Claude, Cursor, Codex) - Fluent in German - Strong English proficiency - Comfortable engaging with industrial customers - Ability to reason about data and systems - Nice‑to‑have: early‑career with steep learning curve