Ads Manager (Meta, YouTube, TikTok) [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Ads Manager (Meta, YouTube, TikTok) based in Australia.

As an Ads Manager, you will take ownership of paid advertising campaigns for a growing finance-focused podcast featuring successful traders, investors, and industry experts. Your mission will be to expand the podcast's audience while generating measurable revenue through premium content and partner offers. You will plan, launch, optimize, and scale campaigns across Meta, YouTube, Google, and TikTok. Using a steady flow of weekly episodes, trailers, and short-form videos, you will develop engaging advertising strategies that attract relevant audiences. You will also implement reliable tracking systems and report on campaign performance, conversions, and revenue. This fully remote freelance opportunity offers significant autonomy and performance-based earning potential.

Accountabilities

You will manage paid acquisition activities from strategy and campaign setup through optimization and performance reporting, focusing on audience growth and commercial results. Your responsibilities will include:

• Develop, launch, and manage paid advertising campaigns across Meta platforms (Facebook and Instagram), YouTube/Google Ads, and TikTok.

• Drive podcast growth by increasing YouTube and Spotify subscriptions, episode views, and newsletter registrations.

• Generate revenue through campaigns promoting premium financial research dossiers and partner offers, including brokerage accounts, financial accounts, and investment tools.

• Develop and test different audience segments, creative formats, advertising messages, and budget allocations.

• Monitor campaign performance and pause, adjust, or scale campaigns based on measurable results.

• Leverage weekly podcast episodes, short-form videos, trailers, and clips to create compelling advertising campaigns.

• Set up and maintain accurate tracking systems to measure campaign performance, conversions, and revenue attribution.

• Optimize campaigns against key performance indicators, including cost per subscriber, cost per lead, conversion rates, and return on ad spend (ROAS).

• Start with smaller test budgets and scale successful campaigns toward an anticipated monthly advertising budget of approximately €4,000 once agreed performance targets are achieved.

• Provide concise monthly performance reports covering advertising costs, audience growth, subscriptions, conversions, and generated revenue.

• Work directly with the podcast host to align advertising strategies with audience and business objectives.

Requirements

The ideal candidate will have proven experience managing performance-driven advertising campaigns, strong platform expertise, and the ability to demonstrate measurable business results. Required qualifications include:

• Demonstrated experience planning, launching, and optimizing paid advertising campaigns with measurable outcomes.

• Proven expertise in at least two of the following advertising platforms:

  • Meta Ads (Facebook and Instagram).

  • Google Ads and YouTube Ads.

  • TikTok Ads.

• Ability to provide concrete campaign performance data, including cost per subscriber, cost per lead, conversion rates, and ROAS.

• Strong understanding of audience targeting, creative testing, budget optimization, conversion tracking, and campaign attribution.

• Knowledge of advertising policies and platform-specific requirements for financial services and investment-related promotions.

• Ability to connect advertising performance with business outcomes, including audience acquisition, newsletter growth, and revenue generation.

• Fluent German language skills, both written and spoken.

• Interest in financial markets, investing, or trading is an advantage.

• Entrepreneurial mindset, strong analytical skills, and the ability to work independently while taking full ownership of campaign performance.

• Willingness to work under a performance-based compensation model and propose a transparent structure tied to measurable results.

Application requirements:

Candidates should provide:

• Two to three examples of advertising campaigns they have managed, including measurable performance results.

• A short introduction explaining why they are a good fit for the opportunity.

• A proposed performance-based compensation model, specifying the relevant KPIs, commission or payment rates, and how results should be measured.

• Their weekly availability.

Benefits

• Fully remote freelance arrangement, with the freedom to work from anywhere.

• Flexible working hours and schedule.

• Full ownership of advertising strategy, campaign execution, and performance.

• Direct collaboration with the podcast host, without an intermediary agency.

• Performance-based earning potential, with compensation linked to conversions or a share of revenue generated by your campaigns.

• Opportunity to scale advertising budgets as campaigns achieve agreed performance targets.

• Access to a steady stream of new advertising content through weekly podcast episodes, trailers, and short-form clips.

• Employee-style perks, including vouchers and discounts at more than 1,500 businesses.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.