TUM Venture Labs startups are hiring across engineering, ML, product, and go-to-market. Short pitches from each team, then networking with the founders.---We're hosting an in-person hiring day on Wednesday, 9 September at 15:00 at our startup office on Brienner Straße. Startups from the TUM Venture Labs ecosystem will be there, most actively hiring.

The format is short pitches from each founding team, then open networking with drinks. Capacity is limited, so register early.

The teams (and what they're hiring for)scaile, AI visibility for enterprise brands: finding the questions buyers ask ChatGPT, Gemini and Perplexity, and producing the content that makes a brand the answer. (Full-Stack Engineers, GTM)

p(doom), AI research lab working on the bottlenecks to AGI that more compute doesn't solve: continual learning, long-horizon learning, credit assignment. (Research Engineers, ML Engineers, see pdoom.org/careers/)Alexandria, Alexandria uses vision-language models to turn highly sensitev desktop activity into proprietary datasets and custom agents. (Founding Engineer, Technical GTM, alexandria.so/jobs)

Arctory, AI app builder for manufacturing. Operations teams describe a shopfloor process in plain language and get a deployable app that connects to their existing ERP. (Founder Associate GTM, Platform Engineer, arctory.ai/careers)

nemox, AI assistant for freight forwarders that handles quoting, booking, customs, and invoicing inside Outlook and existing TMS systems. (Founding Engineer, https://nemox-ai.notion.site/)

qado, Contract intelligence for procurement teams, catching overspending and discounts that were negotiated but never applied. Won the EY AI Procurement Award in 2026. (Founders Associate, join.com/companies/qadoai)

Okno Labs, Foundational Models for Retinal Imaging to unlock precision diagnostics, prognosis, and biomarker discovery from the eye.

Anates Labs, AI Research startup working on visual intelligence, world models, and evaluation methodologies for video generative models.

Why come

If you're considering a move to an early-stage AI company, this is a chance to meet founders and hiring managers in person rather than through a job portal: what they're actually building, what their stack and hardest problems look like, and what it's like to work there. These teams are small, so the person you talk to is likely the person you'd work with.

Open to students, graduates, and professionals. Shared with the TUM, CDTM, tum.ai, and Manage & More communities, but no university affiliation is required.