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Forward-Deployed Engineer (Python)

Role overview

Qualifications

  • Proficiency in Python
  • Solid SQL skills
  • Strong data manipulation skills
  • Hands-on experience with APIs and integrations

Responsibilities

  • Build and maintain customer integrations and tooling
  • Troubleshoot customer issues and resolve bugs
  • Lead technical onboarding and support for customers
  • Work with Customer Success and Product to ensure smooth activation

Key facts

Other skills

  • Microsoft Excel
  • Problem Solving
  • Communication
  • Teamwork
  • Customer Service

About the company

Caplena logo

Caplena

Data Analytics & Business Intelligence

Caplena is a customer feedback tool that uses augmented intelligence to help market researchers, CX professionals, and consultants uncover deep insights from their open-ended text. Caplena’s story began when co-founders, Maurice and Pascal, realized that most market research firms that handle customer feedback face the same issue: Too many open ends and not enough time to accurately analyze them. Since its inception in the Spring of 2018, Caplena has analyzed over 50 million responses, with 120 new projects added each week. Today Caplena is the text analytics tool of choice for over 100 companies in more than 15 countries, boasting customers such as Swisscom, eBay, DHL, Coop, and Joyn.

Company details

Company typeStartup
IndustryData Analytics & Business Intelligence
Company size11 - 50

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Job description

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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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