At a Glance
- Tasks: Drive subscription growth through data-driven social media optimisation and campaign management.
- Company: Join a leading global entertainment brand with a dynamic team.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborate globally and influence high-impact campaigns across major platforms.
- Why this job: Be at the forefront of AI-driven marketing strategies in a creative environment.
- Qualifications: 2-3 years in paid digital media with strong analytical and communication skills.
The predicted salary is between 45000 - 45000 £ per year.
Location: London (Hybrid: 3 days onsite, ad-hoc flex)
Contract: 12 months (potential to extend) | Start Date: ASAP (1-month notice accepted)
Salary: Approx. £45,000
About the Role
We are a premier global entertainment brand seeking a data-driven Paid Social Optimization Specialist to support subscription growth for our streaming platform. The Paid Social Optimization Specialist is a strategic evolution of the traditional Media Buyer. In an era where bidding and placements are increasingly automated by platform algorithms (e.g., Meta Advantage+), this role focuses on managing the inputs rather than the levers. You will guide these automated systems, ensuring that automation remains aligned with complex business objectives and high-quality data. You will be responsible for architecting the data signals, creative feedback loops, and business guardrails that allow AI-driven platforms to perform at their peak. Working standard UK hours, you will serve as the dedicated UK expert within a broader international performance team.
- Campaign Optimization: Manage and optimize automated campaign types by shifting focus from manual bid adjustments to value-based signal management. Act as the primary owner of data integrity, monitoring the health of Conversion APIs (CAPI), offline conversion uploads, and pixel firing.
- Creative Strategy & Brand Controls: Partner with creative teams to treat 'Creative as Targeting'. You will analyze which visual attributes drive algorithmic success and request specific assets to feed the AI's learning phase. Implement and monitor brand safety controls, negative placements, and frequency caps to ensure AI spend does not deviate from brand standards.
- Performance Monitoring: Utilize automated reporting to identify spend inefficiencies, intervening manually when AI models over-scale or under-perform against KPIs.
- Campaign Execution: Act hands-on with Meta, TikTok, Snapchat, and Pinterest to refine and scale campaigns.
- Cross-Functional Collaboration: Interact with global investment teams and utilize AI assistants (e.g., Copilot, Claude) to bridge the gap between complex data and conversion strategies.
Requirements & Qualifications:
- 2-3 years of hands-on experience in paid digital media platforms (e.g. Meta Ads Manager, TikTok Ads Manager).
- Deep understanding of the modern tracking landscape, including server-side tagging, first-party data strategies, and privacy-centric measurement.
- Analytical mindset with the ability to translate 'machine logic' into a human-readable strategy.
- Proficiency in advanced data manipulation and 'outside-the-platform' analysis.
- Strong communication skills to act as a bridge between technical data sets and creative production teams.
- Prior experience in subscription-based services, retail, or entertainment, focusing heavily on CPA optimization.
Paid Social Optimization Specialist in Slough employer: Morgan McKinley
As a leading global entertainment brand, we pride ourselves on fostering a dynamic and inclusive work culture that champions creativity and innovation. Our London-based team enjoys the flexibility of a hybrid work model, competitive salary, and opportunities for professional growth within a collaborative environment. Join us to be part of a forward-thinking organisation where your expertise in paid social optimisation will directly contribute to our mission of enhancing subscription growth for our streaming platform.
StudySmarter Expert Advice🤫
We think this is how you could land Paid Social Optimization Specialist in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or case studies showcasing your past work in paid social optimisation. This will help you stand out and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in digital media and AI-driven platforms. Be ready to discuss how you can leverage these tools to optimise campaigns effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can give you a better chance of getting noticed.
We think you need these skills to ace Paid Social Optimization Specialist in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Paid Social Optimization Specialist. Highlight your experience with paid digital media platforms and any relevant achievements that showcase your analytical mindset and data-driven approach.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've optimised campaigns in the past and how you can bring that expertise to our team. Don't forget to mention your understanding of creative strategy!
Showcase Your Analytical Skills:Since this role is all about managing data signals and performance monitoring, make sure to highlight your analytical skills. Talk about tools you've used and how you've translated complex data into actionable strategies in previous roles.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Morgan McKinley
✨Know Your Platforms Inside Out
Make sure you’re well-versed in the paid digital media platforms mentioned in the job description, like Meta Ads Manager and TikTok Ads Manager. Brush up on their latest features and how they can be leveraged for campaign optimisation. This will show your potential employer that you're not just familiar with the tools, but you’re ready to hit the ground running.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples where you've used data to drive decisions. Think about times when you’ve optimised campaigns based on performance metrics or adjusted strategies based on data insights. Being able to translate complex data into actionable strategies will set you apart from other candidates.
✨Understand Creative Strategy
Since this role involves partnering with creative teams, come prepared with ideas on how creative elements can impact campaign performance. Be ready to discuss how you would treat 'Creative as Targeting' and what visual attributes you believe drive success. This shows you understand the importance of collaboration between data and creativity.
✨Demonstrate Cross-Functional Collaboration
Highlight any experience you have working with different teams, especially in a global context. Discuss how you’ve bridged gaps between technical data sets and creative production. This will illustrate your ability to work effectively within a broader international performance team, which is crucial for this role.
