Fractional Paid Media Specialist

Qdrant•San Francisco, CA

4d•Remote

About The Position

Qdrant is seeking a Fractional Paid Media Specialist to manage and optimize its paid acquisition programs. This role is crucial for capturing enterprise demand and acquiring developers and users for Qdrant, an open-source vector search engine powering AI applications. The specialist will collaborate with the Growth team to scale high-intent acquisition channels, focusing on performance and rapid iteration. This is a fractional role for an experienced operator adept at independent execution and leveraging AI tools for optimization.

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 no-code/low-code 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 accelerate insight generation.
Leverage LLMs for creative testing, keyword research, audience research, and competitive analysis.
Continuously identify and implement AI-driven improvements 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 strategic 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 to improve account creation conversions on Google Search.
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 channels for acquisition.