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Head of Applications & Product

Chonova AG


Job Location:

Zürich - Switzerland

Monthly Salary: Not provided by the employer
Posted: 4 August 2026 (30+ days ago)
Application Deadline: 1 November 2026
Vacancies: 1 Vacancy

Job Summary

About CHoNova

CHoNova is digitalizing chocolate manufacturing. Using proprietary ultrasound-based sensing we enable manufacturers see what is happening inside the chocolate in real time during the process and turn that data into cost savings productivity gains and quality optimization. We have already equipped multiple brands across 5 countries and are growing our team to fast scaling.

The role

You are the bridge between our customers product and science.

By combining scientific expertise with a deep understanding of customer applications you help chocolate manufacturers turn product and process data into clear actions that improve quality efficiency and productivity. The insights you gain from working with customers directly shape the evolution of our hardware analytics and software platform.

Your goal is not only to solve todays customer questions but to build tomorrows product. You continuously transform expert knowledge into intuitive features algorithms and decision-support tools so that every product release delivers greater value and progressively enables customers to interpret and act on their data autonomously.

Tasks
  • Enable customers to decide from their data. As their trusted scientific partner you read the story in the production data interpret deviations and turn them into practical actions on quality productivity and efficiency.
  • Drive the products evolution. Closest to customer challenges you set priorities and own the roadmap across hardware analytics and software every development tied to a real customer need.
  • Turn science into trusted intelligence. You build and validate the analytical layer so recommendations are robust statistically sound transparent and easy to act on.
  • Scale CHoNovas know-how into the product. With our R&D partners you turn expert knowledge into algorithms and decision-support that progressively let customers optimize on their own.
Requirements

Essential skills

  • Strong scientific background (data science food science physics chemical or process engineering or similar) applied to industrial manufacturing problems.
  • Ability to turn complex production and time-series data into clear actionable insights on process performance and product quality.
  • Excellent communication: credible with engineers production managers and R&D teams and able to build trusted customer relationships.
  • Solid grasp of industrial statistics SPC measurement system analysis repeatability DoE confidence intervals.
  • Product thinking: prioritize customer needs define requirements and work with developers to turn science into scalable features.
  • Structured customer-centric mindset scientific rigor with pragmatism.
  • Fluent written and spoken English.

Desirable

  • Experience with manufacturing tech industrial process monitoring IoT or sensor-based products.
  • ML for industrial use physics-informed models Gaussian processes surrogate models.
  • Comfortable across multidisciplinary teams (customers software hardware research partners).
  • Track record bringing scientific innovation from research into commercial products.
Benefits

This is a unique opportunity to be part of the scale-up of an ambitious deep-tech company.

  • Real impact. Your work runs on the factory floors of leading chocolate brands from day one.
  • You own the client relationship on the technical side and the product roadmap.
  • Deep tech tangible product. Physics statistics and ML applied to making better chocolate.

Send your CV and a short note explaining your fit with and motivation for the role.


About Company

Company Logo

CHoNova is digitalizing chocolate manufacturing. Using proprietary ultrasound-based sensing we enable manufacturers see what is happening inside their production process in real time and turn that data into cost savings productivity gains and quality optimization. We have already equi ... View more

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