12 beste Stellen als applied ai, senior/staff forward deployed machine learning engineer in münchen, by – aktuell auf Personalsuche

Senior Product Owner
Bragi —München
- Homeoffice
- Agile
- Flexible Arbeitszeiten
Direkt bewerben
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NavVis —München
- Microsoft Excel
- Vertrieb
- Englisch
- Flexible Arbeitszeiten
- Empfehlungsprogramm
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Customer Operations & Success Manager (m/f/d)
Omegga —München
- Vollzeit
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- Produktion
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(Senior) Sales Manager SAP (w/m/d)
Applied International Informatics GmbH —München
- Per E-Mail
- Englisch
- Mit Reiseanteil
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Solutions Consultant - Power and Utilities (SME)
Cognite - AI for Industry —München
- Wartung
- Präsentationserfahrung
- Künstliche Intelligenz
Direkt bewerben
Partner Solutions Architect
Nebius —München
- Homeoffice
- Azure
- AWS
- Künstliche Intelligenz
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Associate Director (m/f/d), Computational Pathology Biomarker Lead (Oncology/BioPharma)
AstraZeneca —München
- Doktorat
- Künstliche Intelligenz
- Python
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Solutions Engineering, Architect
Synopsys —München
New Business Executive - DACH - (all genders)
Valtech Group —München
- Hybrides Arbeiten
- Vertrieb
- Künstliche Intelligenz
- Marketing
6 Tage
Account Executive, Mid Market, EMEA
Harvey —München
- Vollzeit
- Finanzdienstleistungen
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Account Executive, Enterprise
Harvey —München
- Vollzeit
- Künstliche Intelligenz
Working Student - Customer Enablement & Support (m/f/d)
Alasco —München
- 16 € – 17 € pro Stunde
- Teilzeit
- Wirtschaft
- Flexible Arbeitszeiten
Direkt bewerben
2 Std.

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Senior Product Owner
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Senior Product Owner

Bragi -
München

Direkt bewerben

Details zur Stelle

vor 6 Stunden

Leistungen

Flexible Arbeitszeiten

Qualifikationen

Internet der Dinge
Scrum
Agile

Vollständige Stellenbeschreibung

Bragi was founded in 2013 and launched the world's first Truly Wireless Earphones in 2015 (yes, a whole 12 months before the Airpods...)

Since then, we have evolved from a promising startup to a market-moving creator of innovative technology, opening the new category of Truly Wireless Earphones. Bragi transformed into a software enabler for consumer brands, focusing on scaling its technology after investing more than $90 million in software and AI.

Now we are a leader in the AI headphone space, known for our smart devices that integrate seamlessly into users' lives. With a focus on innovation and user experience, we are driving the evolution of wearable technology.

Senior Product Owner

You'll own delivery for a cross-functional squad (5–10 people) working at the intersection of embedded/mobile software and AI-driven audio. This isn't just backlog management; you're the gatekeeper between what gets promised and what the team can actually deliver, and the owner of requirement quality before work ever hits a sprint.

This is a remote role, but you are welcome to join us in the Munich office

What you will be working on

Drive AI-audio feature delivery end-to-end, whether through your own contribution, strategic partners, or third-party developers on our app store
Act as the single intake point for new work, gating commitments on capacity sign-off before dates go external, and escalating when roadmap and customer priorities compete for the same team
Own backlog quality against a real Definition of Ready (acceptance criteria, user journeys, domain sign-off), with requirements locked and versioned rather than edited after the fact
Partner with your PM to turn roadmap and priorities into a realistic execution plan grounded in actual team capacity and milestones
Govern cross-team and partner dependencies by coordinating with other POs and setting acceptance criteria for intake streams (internal components, firmware, hardware, or similar) feeding your releases
Run a real go/no-go release gate together with release management, pushing quality left through a living Definition of Done and developers who smoke-test, so QA isn't the only line of defense
Surface risk early and keep delivery transparent and predictable

What you will need

5+ years as a PO or Delivery Lead, shipping complex enterprise-grade software in a scaled agile setup with multiple scrum teams
Experience delivering complex embedded or mobile products with strong agile fluency
Proven ability to lead 5–10 person cross-functional teams (mobile development, cloud engineers, QA, UI-UX) with clear, confident communication
Comfort making calls in ambiguity, autonomously, in a remote working setup
Strong track record of pushing back on commitments made without capacity sign-off, and negotiating trade-offs across stakeholders
Experience owning technical dependencies end-to-end — from internal handoffs to external partners (components, firmware, hardware, or similar)
Experience using AI tools to improve efficiency and quality

Nice to have

Audio industry background
Applied AI/ML experience, or a broader ML/AI background
Embedded, IoT, or wearables experience
Startup, founder, or side-hustle background
Background as an Embedded or Mobile developer

What we offer

A complex project that is exceptionally challenging and will change how audio is consumed forever
Work hand in hand with worldwide-known audio brands
A chance to deliver a delightful experience to 25m+ users in the next 12 months (existing base is 10m+)
A flexible Learning & Development program, choose where you want to improve yourself
If you are in Munich and would like to work from the office, you can enjoy on-site perks such as breakfast and lunch, as well as regular social events. For remote colleagues, we also offer a range of virtual activities
Work from where suits you best
10 professional coaching sessions with experts to support your growth
Work from where suits you best with flexible working hours

Direkt bewerben

Erweiterte Suche

applied ai, senior/staff forward deployed machine learning engineer Jobs in münchen, by

Senior Product Owner

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New Business Executive - DACH - (all genders)

Account Executive, Mid Market, EMEA

Account Executive, Enterprise

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