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.
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 inGerman(valuable for our DACH enterprise customers).
Working knowledge of Excel.
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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.
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 inGerman(valuable for our DACH enterprise customers).
Working knowledge of Excel.
#J-18808-Ljbffr
Forward-Deployed Engineer (Python) Arbeitgeber: Caplena
pCaplena in Zürich bietet eine dynamische Arbeitsumgebung, die technisches Know-how mit direktem Kundenkontakt verbindet. Unsere Unternehmenskultur fördert Zusammenarbeit und Innovation, während wir unseren Mitarbeitern umfangreiche Wachstums- und Entwicklungsmöglichkeiten bieten. Genießen Sie die Vorteile eines engagierten Teams in einer lebendigen Stadt, die sowohl berufliche als auch persönliche Entfaltung unterstützt.
