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TikTok

APAC Product Marketing Project Intern (Scaled Growth) - 2027 Start - Project Intern (Global Monetization Product and Technology) - 2027 Start

SingaporeOperationsPosted Sep 8, 2026

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Why you should apply for a job to TikTok:

4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Responsibilities

The Scaled Growth team, part of the Monetization Product organization, builds the products that enable small and medium-sized businesses to advertise and grow on TikTok.

We solve complex challenges in simplifying campaign creation, automating optimization, and delivering effective guidance at scale, for advertisers with diverse needs and limited resources. The quality of those solutions directly influences advertiser success, retention, and access to sustainable growth.

You will help democratize digital advertising, on work with measurable impact for businesses worldwide.

Team Introduction
TikTok's Scaled Growth team aims to provide advertising product solutions to agency partners and advertisers to grow their businesses on TikTok. From deeply understanding our regional agency partners and advertisers, to influencing the next iteration of our advertising product suite, to setting regional product GTM strategy, to designing innovative sales-led and scaled growth programs that impact managed agency partners and wider advertisers in TikTok. The team combines both strategic & operational expertise with customer centricity.

The TikTok Advertising Product Marketing team focused on Agencies & Scaled Growth is looking for an intern with a strong background or interest in data analytics, data science, AI, and automation.

This role will primarily support the team as a data and automation partner, helping Product Marketing Managers turn large amounts of business, product, advertiser, and agency data into actionable insights and scalable workflows.

You will work on projects such as building dashboards, automating recurring reporting, developing AI-enabled workflows, conducting business and product performance analysis, and identifying opportunities to improve team productivity through automation.
Alongside this core focus, you will also support Product Marketing across both:
- Outbound: Go-to-market strategy, product adoption, scaled growth programs, agency activation, and revenue growth.
- Inbound: Identifying advertiser and agency pain points, analyzing product performance and adoption barriers, and translating insights into recommendations for Product and Product Operations teams.

This role involves close collaboration with regional Product Marketing, Sales, Agency, Product Operations, Product, Marketing Science, and Business Marketing teams in a fast-paced and high-growth environment.

As part of the Agency and Scaled Growth Product Marketing team, this role involves close collaboration with multiple in-market Sales, Agency & Business Marketing teams, global Product Operations & Product functions in a fast paced and high-growth environment. An ability to self-motivate, prioritize, problem solve and be the expert across our ads product suite while being a data-driven advocate for our advertisers & agencies is critical. Candidates must have experience working with media & advertising (preferably in an agency environment).

As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests.
Applications are reviewed on a rolling basis, so we encourage you to apply early.

Responsibilities
- Data Analysis & Business Insights: Analyze product adoption, advertiser performance, agency performance, revenue trends, and growth opportunities across APAC, translating complex datasets into clear insights and actionable recommendations for Product Marketing and Sales teams.
- Dashboard Development: Build and maintain dashboards, trackers, and analytical tools that enable the team to monitor business performance, product adoption, GTM execution, and key growth initiatives.
- Reporting Automation: Automate recurring business reporting, data consolidation, performance tracking, and operational workflows to reduce manual work and improve data accuracy and scalability.
- AI & Workflow Automation: Identify opportunities to leverage AI, APIs, scripts, low-code/no-code tools, or automation platforms to improve Product Marketing workflows, knowledge management, research, reporting, and team productivity.
- GTM Analytics: Support Product Marketing Managers in measuring the effectiveness of product launches, activation campaigns, incentive programs, agency initiatives, and other scaled growth programs.
- Opportunity Identification: Use data to identify underpenetrated advertisers, agencies, products, markets, or customer segments and help prioritize growth opportunities for regional teams.
- Inbound Product Insights: Analyze advertiser and agency feedback alongside quantitative product data to identify adoption barriers, customer pain points, product gaps, and opportunities to influence the product roadmap.
- Market & Competitive Intelligence: Conduct targeted market, competitor, advertiser, and agency research, combining external insights with internal performance data to identify emerging trends and opportunities.
- Operational Excellence: Help improve how the regional Product Marketing team operates by building scalable processes, tools, templates, automation, and standardized reporting frameworks.
- Project Ownership: Take ownership of a defined analytics, automation, product, or strategic initiative over time - from problem definition and analysis through implementation, progress tracking, and presentation of recommendations to stakeholders.

Qualifications

Minimum Qualifications
- Currently pursuing an Undergraduate in Data Science, Business Analytics, Computer Science, Statistics, Economics, Engineering, Information Systems, Business, or another quantitative discipline.
- Strong analytical and problem-solving skills, with the ability to structure ambiguous problems, work with large datasets, identify underlying drivers, and translate analysis into practical business recommendations.
- Strong proficiency with Excel or Google Sheets, including data manipulation, analysis, and visualization.
- Experience working with at least one data analysis or visualization tool such as SQL, Python, R, Tableau, Power BI, Looker, or equivalent.
- Strong attention to detail and ability to independently validate data accuracy and analytical outputs.
- Strong communication skills, including the ability to explain analytical findings clearly to non-technical stakeholders.
- Working proficiency in English. Strong sense of ownership, self-driven mindset, and ability to operate effectively in a fast-paced, cross-functional environment.

Preferred Qualifications
- Previous internship, academic project, or working experience in data analytics, data science, business intelligence, strategy, consulting, technology, product, or growth-related roles.
- Proficiency in SQL and/or Python for data extraction, manipulation, analysis, or workflow automation.
- Experience building dashboards, automated reporting pipelines, analytical models, or business intelligence tools.
- Hands-on experience using generative AI tools, AI agents, APIs, automation platforms, or low-code/no-code solutions to automate workflows or improve productivity.
- Familiarity with concepts such as APIs, data pipelines, workflow orchestration, prompt engineering, or agentic AI applications is a plus.
- Experience working with advertising, e-commerce, technology platforms, agencies, or digital marketing data is a plus.
- Comfortable working with large, imperfect datasets and independently investigating data discrepancies.
- Those who can work at least 4 days per week and intern for 6 months are preferred.

Responsibilities

Qualifications

Qualifications

Minimum Qualifications
- Currently pursuing an Undergraduate in Data Science, Business Analytics, Computer Science, Statistics, Economics, Engineering, Information Systems, Business, or another quantitative discipline.
- Strong analytical and problem-solving skills, with the ability to structure ambiguous problems, work with large datasets, identify underlying drivers, and translate analysis into practical business recommendations.
- Strong proficiency with Excel or Google Sheets, including data manipulation, analysis, and visualization.
- Experience working with at least one data analysis or visualization tool such as SQL, Python, R, Tableau, Power BI, Looker, or equivalent.
- Strong attention to detail and ability to independently validate data accuracy and analytical outputs.
- Strong communication skills, including the ability to explain analytical findings clearly to non-technical stakeholders.
- Working proficiency in English. Strong sense of ownership, self-driven mindset, and ability to operate effectively in a fast-paced, cross-functional environment.

Preferred Qualifications
- Previous internship, academic project, or working experience in data analytics, data science, business intelligence, strategy, consulting, technology, product, or growth-related roles.
- Proficiency in SQL and/or Python for data extraction, manipulation, analysis, or workflow automation.
- Experience building dashboards, automated reporting pipelines, analytical models, or business intelligence tools.
- Hands-on experience using generative AI tools, AI agents, APIs, automation platforms, or low-code/no-code solutions to automate workflows or improve productivity.
- Familiarity with concepts such as APIs, data pipelines, workflow orchestration, prompt engineering, or agentic AI applications is a plus.
- Experience working with advertising, e-commerce, technology platforms, agencies, or digital marketing data is a plus.
- Comfortable working with large, imperfect datasets and independently investigating data discrepancies.
- Those who can work at least 4 days per week and intern for 6 months are preferred.

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 10,000+ employees
Industry: Technology: Consumer Internet

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