AI-powered tech recruiting platform connecting candidates with employers
Haystack operates a tech recruiting platform that combines AI vetting with human expertise to match engineering and data talent to employers. The engineering-heavy hiring mix (51 roles across engineering and data combined) and active adoption of RAG and Azure Machine Learning suggest the platform is shifting toward AI-native candidate assessment and matching — moving beyond traditional screening into intelligent ranking and fit prediction.
Haystack is a recruiting platform for technical talent, founded in 2021 and based in Newcastle upon Tyne. The platform serves over 400,000 tech candidates and over 100 employers ranging from early-stage startups to large enterprises. Candidates span software engineering, data, design, DevOps, cloud, tech management, testing, product, delivery, and architecture roles. Haystack operates across six countries (UK, US, Switzerland, Belgium, Germany, Austria) and is actively hiring across engineering, data, product, marketing, and finance functions.
Core infrastructure: Python, Docker, Kubernetes, AWS, Azure, GCP. Data layer: Kafka, dbt, SQL Server, Snowflake (implied via data warehouse projects), Tableau, Power BI. ML: SageMaker, Azure Machine Learning. DevOps: Terraform, Ansible, Jenkins. Actively adopting RAG and expanding Azure footprint.
Primary initiatives include building a central data platform, enterprise data warehouse implementation, data quality and master data management, and AI workload analysis. Secondary focus on subscription billing optimization, KPI dashboards, and HR document automation.
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Haystack's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.