Product Designer atlyginimas Lietuva 2026
Kiek uždirba Product Designer?
47 040 €
/ Metinis
Remiantis 5 darbo skelbimais
Salaries are calculated as the average of salary ranges published in job listings. Data is aggregated monthly by job position.
33 600 € Vidutinis atlyginimas
47 040 € Maksimumas
66 000 €
Atlyginimų duomenys atnaujinti: lapkritis 2026
Product Designer atlyginimas Lietuva
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Product Designer
prieš 21 val.
Vilnius, Vilniaus apskr., Lietuva Hostinger Visą darbo dieną 4 500 € LaikinasJoin the team building an AI-first company.Hostinger serves more than 5.5 million clients across 150 countries, but...
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Lead Product Designer
Found at: Fantastic LinkedIn - 6 days ago
, Lietuva Scrambly Visą darbo dienąAbout The Company Scrambly is one of the fastest-growing adtech startups in the world, featured in the AppsFlyer...
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Head of Product Design
Found at: Fantastic ATS - 1 week ago
Kaunas, Kaunas County, Lietuva Surfshark Visą darbo dieną 5 500 € - 7 500 € LaikinasWe're making online protection simple enough for millions of people to trust without a second thought, and great design...
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Atlyginimai Lietuva {year}
| Position | Vidutinis atlyginimas / Metinis | |
|---|---|---|
| CHIEF ENGINEERING AND TECHNOLOGY OFFICER (F/M/D) | 16 720 € | Žiūrėti skelbimus |
| Freelance Photographer | 10 400 € | Žiūrėti skelbimus |
| HEAD OF GROUP RISK (F/M/D) | 98 280 € | Žiūrėti skelbimus |
| Finansų departamento vadovė (-as) | 96 000 € | Žiūrėti skelbimus |
| Senior Data Engineer II, Trust & Safety | 90 000 € | Žiūrėti skelbimus |
| Head of Engineering | 88 400 € | Žiūrėti skelbimus |
| Senior Backend Engineer - Functions | 84 000 € | Žiūrėti skelbimus |
| Senior Software Engineer | 83 833 € | Žiūrėti skelbimus |
| Senior DevOps Engineer - Wix Data | 81 000 € | Žiūrėti skelbimus |
| Chief People Officer | 79 982 € | Žiūrėti skelbimus |
FAQ - Product Designer
Duomenys atnaujinti: lapkritis 2026
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Methodology
Salary data is calculated from compensation ranges published in active job listings in Lietuva. Job postings that include salary information are analyzed to obtain minimum, average and maximum values by position. Data is updated monthly and reflects listings from the last 90 days. Sample size for this position: 5 job postings with salary.