At a Glance
- Tasks: Manage and optimise AI-driven social media campaigns for maximum impact.
- Company: Join a forward-thinking company dedicated to inclusivity and equal opportunities.
- Benefits: Competitive pay, flexible work options, and a focus on professional growth.
- Other info: Dynamic role with opportunities to collaborate across creative and technical teams.
- Why this job: Be the pilot of innovative technology and shape the future of digital marketing.
- Qualifications: Experience with paid media platforms and strong analytical skills required.
The predicted salary is between 40000 - 50000 £ per year.
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 be responsible for architecting the data signals, creative feedback loops, and business guardrails that allow AI-driven platforms to perform at their peak. You are the 'pilot' of the machine, ensuring that automation remains aligned with complex business objectives and high-quality data.
Specific Responsibilities
- Algorithmic Steering: Manage and optimize 'black box' campaign types by shifting focus from manual bid adjustments to value-based signal management.
- Data Signal Hygiene: Act as the primary owner of data integrity, monitoring the health of Conversion APIs (CAPI), offline conversion uploads, and pixel firing to ensure the AI is optimizing toward high-value business outcomes.
- Creative Performance Analysis: 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.
- Constraint & Guardrail Management: Implement and monitor brand safety controls, negative placements, and frequency caps to ensure AI spend does not deviate from brand standards.
- Anomaly Detection & Intervention: Utilize automated reporting to identify performance 'hallucinations' or spend inefficiencies, intervening manually when AI models over-scale or under-perform against KPIs.
Requirements & Qualifications
- 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.
Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.
Paid Social Optimization Specialist [210489] in Bracknell employer: Aquent
At Aquent, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters creativity and innovation in the heart of the digital marketing landscape. Our commitment to inclusivity and employee growth is reflected in our supportive environment, where you can thrive as a Paid Social Optimization Specialist while collaborating with talented teams and leveraging cutting-edge technology. With a focus on professional development and a strong emphasis on work-life balance, Aquent is the ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Paid Social Optimization Specialist [210489] in Bracknell
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or case studies showcasing your previous work in paid social optimisation. We want to see how you’ve tackled challenges and achieved results – it’s your chance to shine!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to the role. We recommend doing mock interviews with friends or using online resources to boost your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Paid Social Optimization Specialist [210489] in Bracknell
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Paid Social Optimization Specialist role. Highlight your experience with paid digital media platforms and any relevant projects that showcase your analytical skills. We want to see how you can bring your unique flair to our team!
Show Off Your Data Skills:Since this role is all about managing data signals, don’t shy away from showcasing your analytical mindset. Include examples of how you've worked with data integrity and optimisation in past roles. We love seeing how you can translate complex data into actionable strategies!
Creative Collaboration Counts:This position involves working closely with creative teams, so be sure to mention any experience you have in collaborating on creative projects. Share how you’ve influenced creative decisions based on performance analysis. We’re all about that synergy between data and creativity!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Aquent
✨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. Familiarise yourself with their features, especially around algorithmic steering and data signal management, so you can confidently discuss how you would optimise campaigns.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical mindset by discussing past experiences where you've translated complex data into actionable strategies. Bring examples of how you've managed data integrity and monitored performance metrics, as this will show you understand the importance of data hygiene in driving successful outcomes.
✨Communicate Effectively with Creative Teams
Since collaboration with creative teams is key, think of ways to illustrate your strong communication skills. Be ready to share examples of how you've worked with creatives to analyse performance and request specific assets that align with algorithmic success. This will highlight your ability to bridge the gap between data and creativity.
✨Prepare for Anomaly Detection Scenarios
Anticipate questions about how you would handle performance anomalies or inefficiencies. Think of specific instances where you’ve had to intervene in a campaign due to unexpected results. This will show your proactive approach and understanding of the need for manual intervention when AI models don’t perform as expected.
