Fractional Paid Media Specialist (EMEA)

Qdrant

2d•Remote

About The Position

Qdrant is seeking a Fractional Paid Media Specialist to manage and optimize its paid acquisition programs, focusing on enterprise demand capture and developer/user acquisition for their open-source vector search engine. This role is for an experienced operator who can execute independently, focus on performance, and iterate quickly, leveraging AI tools for automation and insights. The specialist will work closely with the Growth team to scale high-intent acquisition channels.

Requirements

3+ years running performance marketing campaigns
Deep expertise with Google Ads Search campaigns
Experience running campaigns for developer, SaaS, or infrastructure products
Strong command of keyword strategy, conversion tracking, attribution, and performance optimization
Strong understanding of keyword strategy, conversion tracking, attribution, performance optimization
Experience with AI tooling around search and campaign optimization

Nice To Haves

Experience advertising to engineers or developer audiences
Familiarity with AI / ML infrastructure tools
Experience working with GA4, GTM, Segment, or server-side conversion tracking
Comfortable writing prompts and light code/scripts to automate campaign operations
Familiarity with no-code automation tools
Experience using LLMs to accelerate keyword research, ad copy testing, or reporting workflows

Responsibilities

Use AI tools and agents to automate repetitive tasks such as bid adjustments, budget pacing, anomaly detection, search term mining, and performance reporting.
Build lightweight workflows to reduce manual work and surface insights faster.
Leverage LLMs for creative testing, keyword research, audience research, and competitive analysis.
Continuously identify and implement AI leverage points in the campaign workflow.
Manage and optimize PPC campaigns end-to-end, including account structure, keyword strategy, bidding, budget allocation, and ongoing iteration.
Design and launch ad creative testing plans and optimize landing pages for performance.
Build forecasts and scenario projections to guide decisions.
Ensure accounts remain on budget while balancing efficiency and growth targets.
Own strategy and execution for Google Search campaigns, optimizing for high-intent technical keywords and commercial intent.
Refine keyword targeting, improve account structure, and optimize bidding strategies for Google Search.
Continuously test ad copy and landing pages for Google Search campaigns to improve account creation conversions.
Manage and optimize conversion-focused LinkedIn campaigns targeting enterprise buyers and technical decision-makers.
Test audience segmentation, creative formats, and messaging on LinkedIn to improve pipeline quality.
Run experiments on Reddit targeting technical audiences for developer acquisition and competitor displacement.
Identify subreddits, formats, and messaging that resonate with the AI/ML infrastructure community on Reddit.
Across all channels, test audience segmentation, creative formats, and messaging to improve pipeline quality.
Explore and test new acquisition channels.