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Elisabetta TrioloET
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Elisabetta Triolo

@elisabettatriolo

Product Support Specialist at Superb who investigated software bugs and reported verified issues to engineering through Linear.

Denmark
Message

At Superb, I provided technical support in English and Italian, investigated and reproduced software bugs, and shared detailed reports with developers through Linear. I also used Intercom, Crisp, Aircall, HubSpot, and Stripe to support customer and back-office workflows.

As Customer Success Manager at Superb, I managed technical onboarding, including dedicated hardware installation and configuration, and helped clients reach operational autonomy with the software. I troubleshot complex software issues and reported verified bugs to the engineering team.

At Voli ApS, I created customized Maconomy solutions, including components and features for Workspace Client and IAccess. Earlier, during a Python Developer Internship at the Computational Linguistics Laboratory, University of Pisa, I developed software to analyze bias in Italian word embeddings and created charts with Matplotlib.

Experience

Work history, roles, and key accomplishments

SU

Customer Success Manager

Superb

Aug 2025 - Jan 2026 (5 months)

Managed technical onboarding of new clients, including hardware installation and configuration, and provided high-level technical support. Led troubleshooting, documented bugs via Linear, and collaborated with engineering to improve product stability.

Preply.com logoPR

Online Italian Language Tutor

Jul 2021 - Dec 2024 (3 years 5 months)

Provided private one-on-one Italian language sessions, goal-oriented based on student objectives. Managed scheduling, prepared exercises and grammar explanations tailored to individual needs.

VA

Maconomy Developer

Voli ApS

Apr 2022 - Jul 2023 (1 year 3 months)

Created Maconomy customized solutions to improve client processes. Designed and implemented new components for Workspace Client and IAccess, optimized workflows, and extended containers using Maconomy Extender and Java.

CP

Python Developer Internship on Natural Language Processing

Computational Linguistics Laboratory, University of Pisa

Jun 2020 - Nov 2020 (5 months)

Developed Python software for computational analysis of social and cultural bias in Italian word embeddings. Processed large XML datasets, trained word embeddings on a 1.5-billion-word corpus, and created visualizations using Matplotlib.

Education

Degrees, certifications, and relevant coursework

University of Pisa logoUP

University of Pisa

Master's degree, Digital Humanities

Grade: 110/110 cum laude

Master's degree in Digital Humanities with a grade of 110/110 cum laude.

University of Pisa logoUP

University of Pisa

Bachelor's degree, Digital Humanities

Grade: 110/110 cum laude

Bachelor's degree in Digital Humanities with a grade of 110/110 cum laude.

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