Search Engine Optimization Manager
kr 619 385 (NOK)/yr
kr 297,78 (NOK)/hr
kr 20 811 (NOK)/yr
The average search engine optimization manager gross salary in Trondheim, Norway is kr 619 385 or an equivalent hourly rate of kr 298. This is 6% lower (-kr 42 955) than the average search engine optimization manager salary in Norway. In addition, they earn an average bonus of kr 20 811. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Trondheim, Norway. An entry level search engine optimization manager (1-3 years of experience) earns an average salary of kr 431 628. On the other end, a senior level search engine optimization manager (8+ years of experience) earns an average salary of kr 699 446.
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kr 708 047 (NOK)
14 %
Based on our compensation data, the estimated salary potential for Search Engine Optimization Manager will increase 14 % over 5 years.
This chart displays the highest level of education for:
Search Engine Optimization Manager, the majority at 100% with bachelors.
Typical Field of Study: General Merchandising, Sales, and Related Marketing Operations
See how education can impact your salaryThe cost of living in Trondheim, Norway is 0% more than the average cost of living in Norway. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageTrondheim (UK: TRON(D)-hyme, US: TRON(D)-haim; Urban East Norwegian: [ˈtrɔ̂nː(h)æɪm]; Southern Sami: Tråante), historically Kaupangen, Nidaros, and Trondhjem (locally [ˈtrɔ̂nːjæm] ), is a city and municipality in Trøndelag county, Norway. As of January 1, 2026, it had a population of 218,460. Trondheim is the third most populous municipality in Norway, and is the fourth largest urban area. Trondheim lies on the south shore of Trondheim Fjord at the mouth of the River Nidelva. Among the signifi
Sourced from WikipediaERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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