Top Tech Jobs & Startup Jobs in Manchester

The Senior Sales Engineer at Arctic Wolf is responsible for providing technical expertise and driving the value proposition for prospective customers. They play a crucial role in the sales process by conducting presentations, demos, and engaging with customers to understand their needs and align them with Arctic Wolf solutions. This position requires a strong technical background in security tools, networking, and cloud services, as well as excellent communication and presentation skills.

As the first Project Manager at Nillion Association, you will be responsible for supporting the leadership team in delivering initiatives across Marketing, Operations, and Business Development. Your role will be critical in creating leverage to enable the team to make progress efficiently and effectively in the Web 3.0 space.

Develop and implement a detailed Treasury master data strategy, analyze data trends for cash management optimization, create custom reporting for senior management, and build centralized FX and Treasury data warehouse. Requires 5 years of experience in Data with knowledge of SQL, Tableau, and data warehouse management.

Join Moonpig's dynamic Logistics team as a Software Engineer, working on high-performance, business-critical systems to ensure seamless delivery experiences for customers globally. Collaborate with a tight-knit team to optimize processes and tackle complex challenges.

Seeking passionate and knowledgeable Web3 Scout to identify and support early-stage startups in the Web3 space. Responsibilities include scouting high-potential founders, sourcing startups, conducting research, and contributing to Brinc's Web3 ecosystem.

As a Growth Marketing Manager, you will be responsible for optimizing conversion rates at every stage of the marketing funnel, acquiring top leads through experimentation with various channels, and collaborating with cross-functional teams to maximize revenue generation and customer engagement.

Seeking a Senior Data Engineer with 5+ years of experience in data engineering. Responsibilities include working with fast-paced companies on data transformation using Google Cloud, ETL/ELT, data warehousing, distributed data processing, and streaming data systems. Skills required include Python, JVM language, SQL, cloud data warehouses, GCP tools, and experience with various data engineering tools and practices.