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Salary: £70,000 £80,000 - Home-based (UK only, right to work required) Were looking for a Technical Success Manager (TSM) to join evaluagent . Youll be the technical expert who ensures our customers see value quickly and stay successful long term. From scoping solutions and running technical discovery sessions, to leading integrations and optimising setups, youll make sure our platform delivers real impact. Working closely with Sales, Onboarding, Customer Success, and Engineering, youll be a trusted partner who bridges technical know-how with business outcomes helping us win PoCs, onboard smoothly, and drive adoption and growth. What youll do - Lead technical discovery sessions, workshops, and PoCs with enterprise customers. Scope and deliver integrations, ensuring fast and reliable setups. Own the technical track of onboarding from discovery through handover.
Salary: £70,000 £80,000 - Home-based (UK only, right to work required) Were looking for a Technical Success Manager (TSM) to join evaluagent . Youll be the technical expert who ensures our customers see value quickly and stay successful long term. From scoping solutions and running technical discovery sessions, to leading integrations and optimising setups, youll make sure our platform delivers real impact. Working closely with Sales, Onboarding, Customer Success, and Engineering, youll be a trusted partner who bridges technical know-how with business outcomes helping us win PoCs, onboard smoothly, and drive adoption and growth. What youll do - Lead technical discovery sessions, workshops, and PoCs with enterprise customers. Scope and deliver integrations, ensuring fast and reliable setups. Own the technical track of onboarding from discovery through handover.
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We are seeking a versatile and detail-oriented Data Engineer & Data Analyst to join our data team. This hybrid role involves designing and maintaining data pipelines, ensuring data quality, and performing in-depth analysis to support business decision-making. The ideal candidate will have strong technical skills in data engineering and a keen analytical mindset to extract actionable insights. Description for Internal Candidates - Design, build, and maintain scalable ETL/ELT pipelines using tools like Apache Airflow, Azure Data Factory, or similar. Develop and optimize data models and data warehouses (e.g., Snowflake, Redshift, BigQuery). Work with structured and unstructured data from various sources (APIs, databases, flat files). Ensure data quality, integrity, and governance across systems. Collaborate with DevOps and cloud teams to manage data infrastructure (AWS,
We are seeking a versatile and detail-oriented Data Engineer & Data Analyst to join our data team. This hybrid role involves designing and maintaining data pipelines, ensuring data quality, and performing in-depth analysis to support business decision-making. The ideal candidate will have strong technical skills in data engineering and a keen analytical mindset to extract actionable insights. Description for Internal Candidates - Design, build, and maintain scalable ETL/ELT pipelines using tools like Apache Airflow, Azure Data Factory, or similar. Develop and optimize data models and data warehouses (e.g., Snowflake, Redshift, BigQuery). Work with structured and unstructured data from various sources (APIs, databases, flat files). Ensure data quality, integrity, and governance across systems. Collaborate with DevOps and cloud teams to manage data infrastructure (AWS,
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As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other
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