Forward-Deployed Engineer (Python)

Caplena GmbH; Zürich; Vor Ort; CHF 80.000 - 100.000; Vollzeit

Benefits dieser Stelle

25 days PTO/year

Competitive compensation & equity

Flexible working hours

Team events

Zusammenfassung

Caplena GmbH in Zurich is seeking a Forward-Deployed Engineer to bridge customer needs with technical solutions. The role involves developing integrations, facilitating customer onboarding, and troubleshooting data issues.

The successful candidate will be proficient in Python and SQL, with a strong service-oriented mindset and the ability to work directly with enterprise stakeholders. This position offers flexible working hours and a competitive compensation package, along with opportunities for growth.

Qualifikationen

• Experience working directly with customers, including enterprise stakeholders.
• Ability to explain technical topics clearly.
• Hands-on experience in building, debugging APIs.

Aufgaben

• Build customer integrations and tooling.
• Lead technical onboarding and data validation.
• Troubleshoot customer issues and diagnose data problems.

Kenntnisse

Proficiency in Python

Solid SQL

Strong data manipulation skills

Experience with APIs and integrations

Service-oriented mindset

Fluent in English

Tools

SPSS

Power BI

Django

Postgres

Jobbeschreibung

About the role

As a Forward‑Deployed Engineer at Caplena, you sit where engineering meets the customer. You are 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.