Job Title : Paid Social Optimization Specialist
Location : London
Duration : 12 Months Contract
Mode : Hybrid (3 Days/Week)
Job Description
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.
