At a Glance
- Tasks: Manage and optimise AI-driven social media campaigns for maximum impact.
- Company: Dynamic London-based agency at the forefront of digital marketing.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Join a vibrant team and thrive in a fast-paced, evolving environment.
- Why this job: Be the pilot of innovative campaigns and shape the future of digital advertising.
- Qualifications: Experience in digital media, strong analytical skills, and a knack for creative collaboration.
The predicted salary is between 45000 - 55000 £ per year.
Location: London
Duration: 12 Months Contract
Mode: Hybrid (3 Days/Week)
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 employer: Harvey Nash Group
As a Paid Social Optimization Specialist in London, you will thrive in a dynamic and innovative 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 expertise will directly influence high-impact campaigns and drive meaningful business outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Paid Social Optimization Specialist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio or case studies showcasing your past successes in paid social optimisation. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to algorithmic steering and data signal hygiene. The more you rehearse, the more confident you'll feel when it’s showtime!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who take the extra step to connect with us directly. It shows initiative and enthusiasm!
We think you need these skills to ace Paid Social Optimization Specialist
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 signal management and creative performance analysis, as these are key aspects of the job.
Craft a Compelling Cover Letter:Use your cover letter to showcase your analytical mindset and how you can bridge the gap between technical data and creative teams. This is your chance to show us why you're the perfect fit for our team!
Showcase Relevant Experience:When detailing your past roles, focus on your hands-on experience with paid digital media platforms and any work you've done with conversion APIs or data integrity. We want to see how you've tackled similar challenges before.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Harvey Nash Group
✨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 to demonstrate your hands-on experience with digital media platforms and your knowledge of tracking landscapes. Bring examples of how you've maintained data integrity and used analytics to drive campaign success, as this will show you're the right fit for the role.
✨Communicate Effectively
Since you'll be acting as a bridge between technical data sets and creative teams, practice explaining complex concepts in simple terms. Think of examples where you've successfully collaborated with creatives to optimise performance based on data insights.
✨Prepare for Problem-Solving
Expect questions about anomaly detection and intervention strategies. Be ready to share specific instances where you've identified performance issues and how you intervened to get campaigns back on track. This will highlight your analytical mindset and proactive approach.
