
51 - 200 employees
Founded 2021
đ€ Artificial Intelligence
âïž SaaS
Artificial Intelligence âą SaaS
Qdrant is a company that builds a highâperformance vector database and managed cloud services for similarity search and AI retrieval. It offers an openâsource, Rustâbased vector engine (Qdrant Vector Database) plus managed offerings (Qdrant Cloud, Hybrid Cloud, Private Cloud, Edge, and Enterprise solutions), optimized for realâtime indexing, hybrid dense+sparse search, multivector retrieval, and largeâscale production deployments. Qdrant is positioned for builders of RAG, semantic search, recommendation systems, AI agents, and anomaly detection, and emphasizes developer APIs, enterprise security/compliance (SOC2, HIPAA options), and deployment flexibility (onâprem, cloud, hybrid, edge).
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51 - 200 employees
Founded 2021
đ€ Artificial Intelligence
âïž SaaS
Artificial Intelligence âą SaaS
Qdrant is a company that builds a highâperformance vector database and managed cloud services for similarity search and AI retrieval. It offers an openâsource, Rustâbased vector engine (Qdrant Vector Database) plus managed offerings (Qdrant Cloud, Hybrid Cloud, Private Cloud, Edge, and Enterprise solutions), optimized for realâtime indexing, hybrid dense+sparse search, multivector retrieval, and largeâscale production deployments. Qdrant is positioned for builders of RAG, semantic search, recommendation systems, AI agents, and anomaly detection, and emphasizes developer APIs, enterprise security/compliance (SOC2, HIPAA options), and deployment flexibility (onâprem, cloud, hybrid, edge).
âą Use AI tools and no-code/low-code agents to automate repetitive tasks âą Manage and optimize PPC campaigns end-to-end âą Design and launch ad creative testing plans âą Own strategy and execution for Google Search campaigns âą Manage and optimize conversion-focused LinkedIn campaigns targeting enterprise buyers and technical decision-makers âą Run experiments targeting technical audiences for developer acquisition and competitor displacement. âą Continuously test audience segmentation, creative formats, and messaging to improve pipeline quality.
âą 3+ years running performance marketing campaigns âą Deep expertise with Google Ads Search campaigns âą Experience running campaigns for developer, SaaS, or infrastructure products âą Strong command of keyword strategy, conversion tracking, attribution, and performance optimization âą Strong understanding of keyword strategy, conversion tracking, attribution, performance optimization âą Experience with AI tooling around search and campaign optimization. âą Nice to have: âą - Experience advertising to engineers or developer audiences âą - Familiarity with AI / ML infrastructure tools âą - Experience working with GA4, GTM, Segment, or server-side conversion tracking âą - Comfortable writing prompts and light code/scripts to automate campaign operations âą - Familiarity with no-code automation tools. âą - Experience using LLMs to accelerate keyword research, ad copy testing, or reporting workflows.
âą A competitive salary with additional perks. âą Flexible working hours and async-friendly culture. âą High ownership and real impact. âą Open-source, engineering-driven culture. âą Choose your own laptop equipment.
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