At a Glance
- Tasks: Manage and optimise AI-driven social media campaigns for maximum impact.
- Company: Dynamic digital marketing agency in the heart of London.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Join a vibrant team and enjoy a flexible work environment.
- Why this job: Be at the forefront of digital marketing innovation and shape creative strategies.
- Qualifications: Experience in paid media, strong analytical skills, and excellent communication.
The predicted salary is between 45000 - 55000 £ 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, 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.
- 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.
Paid Social Optimization Specialist in City of London employer: Harvey Nash
As a Paid Social Optimization Specialist in London, you will thrive in a dynamic and innovative work environment that champions creativity and data-driven strategies. Our hybrid work model promotes a healthy work-life balance while offering extensive opportunities for professional growth and collaboration with talented teams. Join us to be at the forefront of digital marketing, where your contributions directly impact our success and the evolution of automated media buying.
StudySmarter Expert Advice🤫
We think this is how you could land Paid Social Optimization Specialist in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or case studies showcasing your past work in paid social optimisation. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in digital media and AI-driven platforms. Being knowledgeable will help you stand out as a candidate who’s in the know.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are eager to join us and make an impact in the world of paid social.
We think you need these skills to ace Paid Social Optimization Specialist in City of London
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 data signals, creative analysis, and any hands-on work with digital media platforms. We want to see how you can pilot the machine!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've managed data integrity or optimised campaigns in the past. Let us know how you can help keep our AI aligned with business objectives.
Show Off Your Analytical Skills:Since this role requires an analytical mindset, don’t shy away from showcasing your ability to translate complex data into actionable strategies. Include any relevant projects or experiences that demonstrate your proficiency in data manipulation and performance analysis.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Harvey Nash
✨Know Your Algorithms
Make sure you brush up on your understanding of algorithmic steering and how it applies to paid social campaigns. Be ready to discuss how you've managed data signals in the past and how you can ensure AI-driven platforms align with business objectives.
✨Showcase Your Data Skills
Prepare examples that highlight your hands-on experience with data integrity and conversion tracking. Discuss specific instances where you've monitored and optimised data signals, and be ready to explain how you ensure high-quality outcomes from AI systems.
✨Creative Collaboration is Key
Since this role involves working closely with creative teams, think of ways you've successfully partnered with creatives in the past. Be prepared to talk about how you analyse creative performance and how you treat 'Creative as Targeting' to drive campaign success.
✨Be Ready for Problem-Solving
Expect questions around anomaly detection and intervention. Prepare to share experiences where you've identified performance issues or inefficiencies in campaigns and how you took action to rectify them. This will show your analytical mindset and proactive approach.
