20 meilleures offres (deployed engineer, zug, zg) (à pourvoir)

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- 100%
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- 100%
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- 100%
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- 100%
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- 100%
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Jua —Zürich, ZH
- 100%
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Forward Deployed AI/ML Model Engineer
IMTF —Zürich, ZH
- De 130 000 CHF à 180 000 CHF par an
- 100%
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Forward Deployed Engineer - Robotics
Flexion Robotics —Zürich, ZH
- 100%
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Machine Design Engineer
PREEN Technologies —Zürich, ZH
- 100%
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Senior Staff Forward Deployed Engineer, GenAI, Google Cloud
Google —Zürich, ZH
- 100%
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(Senior) Field Engineer, Industrial Robotics
ANYbotics —Zürich, ZH
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Principal Forward Deployed Engineer - Software Engineer - German Speaking
Microsoft —Zürich, ZH
- De 146 200 CHF à 309 700 CHF par an
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Forward-Deployed Engineer (Python)

Caplena
Zürich, ZH

Postuler rapidement

Détails de l'emploi

100% | Temps de travail : 90-100%

Qualifications

Power BI
Microsoft Excel
Anglais
Recherche
Tableau
SQL
PostgreSQL
MacOS
Linux
SPSS
Python
Allemand

Description complète du poste

About the role

As a Forward-Deployed Engineer at Caplena, you sit where engineering meets the customer. You're a hands-on technical problem-solver who builds the integrations, data flows, and tooling that get customers live and keep them successful — and you're comfortable explaining your work directly to the people using it.

This is a majority-technical role with a real customer-facing component. You'll spend most of your week in data, code and debugging, and a meaningful slice of it working directly with customers and our Customer Success and Product teams. You are the technical bridge between what customers need and what the product can do.

Your work directly impacts how fast customers go live, how successful they are in using Caplena, and how efficiently our teams can support and scale customer success.

How you'll spend your time

Roughly:

30–40% Development: building integrations, internal tooling, and data workflows that make onboarding and support faster and more scalable.
30–40% Investigation & debugging: diagnosing data and integration issues, reproducing customer problems, and working with Product to resolve bugs.
20–30% Working with customers: onboarding, technical scoping, walking customers through setup, and translating their needs into technical solutions.

(These are guidelines, not hard limits — the mix flexes with what customers and the team need.)

Key responsibilities

Development

Build and maintain customer integrations and the tooling around them.
Improve internal backend and data workflows so Customer Success and customer operations run faster and scale further.
Write code that turns repetitive manual setup into reusable, self-serve, or automated solutions.
Depending on skillset and current needs: build new features in our app

Customer-facing

Own the technical success of customers from onboarding through long-term usage.
Lead technical onboarding: integrations, data imports and configuration, and initial data validation and quality checks.
Work closely with Customer Success and Product to ensure smooth customer activation.
Act as the technical bridge between customers, Customer Success, and Product.

Investigation & debugging

Troubleshoot customer issues — data configuration problems, integration errors, and unexpected behavior
Reproduce and diagnose issues, and partner with the Product team to resolve underlying bugs.

Must-have requirements

Proficiency in Python — you can write, debug, and ship code independently, not just read it.
Solid SQL — comfortable writing queries, joins, and aggregations against real data.
Strong data manipulation skills — cleaning, transforming, and structuring messy real-world datasets.
Hands-on experience working with APIs and integrations — REST, webhooks, authentication flows (e.g. OAuth) — including building and debugging them.
Genuine willingness and ability to work directly with customers, including enterprise stakeholders.
A patient, empathetic, service-oriented mindset and the ability to explain technical topics clearly.
Fluent, professional written and spoken English.
Located in the EU or Switzerland.

Nice to have

Experience with data pipelines or more complex data workflows.
Familiarity with cloud platforms and APIs.
Experience with tools like SPSS or other research/analytics platforms or BI Tools (Power BI, Looker, Tableau)
Fluency in German (valuable for our DACH enterprise customers).
Working knowledge of Excel.
Previous exposure to Customer Success, Support, or Data Analysis.

Benefits

Exciting, growing product
Modern & scalable tech-stack (GCP; Claude; Gemini; Kubernetes; Django; Postgres; Clickhouse)
Solid tooling (CI/CD; issue monitoring; session replay etc.)
Quick & inclusive decision-making; (AI engine, API, Frontend, DevOps)
Driven & down-to-earth team
Team events
Choice of OS: macOS or Linux
Full-time; flexible working hours; remote or office depending on location
25 days PTO/year
Competitive compensation & equity

Why you'll enjoy it

We'd love to hear from you if you enjoy variety, are eager to learn, and want to grow your technical skills while making a real, visible impact on customer results — owning problems end to end, from a customer conversation to the code that solves it.

Start date: Immediately or according to availability.

Postuler rapidement

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : deployed engineer (zug, zg)

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