TikTok Algorithm Research Specialist
About Trollishly Trollishly has helped creators, brands and agencies grow on TikTok since 2019. We provide growth services for TikTok likes, views and followers, free creator tools such as our TikTok Profile Viewer, and a TikTok growth research hub. We are a remote-first team and hire globally. The Role You will be Trollishly's in-house TikTok R&D. You will study how the For You Page decides what to show, test what helps brand content reach the right audience, and turn your findings into better services for brands and research we publish.
What You'll Do
Research how the FYP ranks content: watch time, completion, rewatches, shares and comments, and how they differ by niche Design and run content experiments on hooks, video length, posting time, sounds, captions and hashtags Track TikTok algorithm and policy updates and brief the team on what changes for brands Turn findings into campaign playbooks for brands: formats, posting cadence and timing by niche Publish a quarterly TikTok research report and data studies on our TikTok Growth Research Hub Measure campaign outcomes and recommend service improvements What You Bring 3+ years in TikTok growth, social media analytics or growth marketing Deep, hands-on understanding of how TikTok distributes content Experience designing experiments and drawing conclusions from data, not anecdotes Strong with spreadsheets and data. SQL or Python is a plus. Clear written English: you can turn a dataset into a report a brand manager understands Self-managed and reliable in a remote team
Nice to Have
Published research, case studies or an audience for your TikTok insights Agency or brand-side experience running TikTok campaigns Experience with TikTok Creative Center and TikTok Ads Manager
What We Offer
Fully remote, flexible hours Freedom to set your own research agenda Your name on the research we publish Real campaign data to test your ideas Competitive pay based on experience and location
How to Apply
Apply with your CV and one example of a TikTok analysis or experiment you ran, with what you found.