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As a Backend Software Engineer, you'll build and enhance data ingestion processes, implement observability tools, develop internal support tools, and participate in agile planning while contributing technical expertise and supporting production operations.

As an Up-Market Account Executive at Jellyfish, you will build and manage a B2B sales pipeline, engage in technical sales conversations, conduct product demonstrations, and maintain customer relationships. You will partner with sales engineering and customer success teams to ensure a seamless process from pre-sales to post-sales.

Lead the Enablement team at Jellyfish, guiding data scientists and engineers in producing analytics, insights, and tools to inform product and business strategies. Deliver self-serve analytics capabilities, support executive reporting with bespoke analyses, and maintain analytics infrastructure while fostering a culture of data-driven decision-making.

The Sales Manager will lead and develop a high-performing team of Account Executives, manage sales processes, build client relationships, and collaborate with various teams to improve sales strategies. In addition, the role requires technical sales understanding and the ability to provide support in product demonstrations and training.

The Senior Sales Engineer will lead and mentor the Sales Engineering team, engage with enterprise accounts, refine sales processes, design proof of concepts, and collaborate with other teams for customer success. They will actively communicate with C-level executives to address strategic objectives and improve customer experiences.

The Business Development Representative at Jellyfish focuses on building and sourcing their own pipeline by targeting CTOs and VP of Engineering, engaging in technical and business conversations, and working with the Account Executive team. The role requires establishing strong relationships with prospects and contributing to the company's growth in SaaS sales.

As a Data Science Co-op at Jellyfish, you will help develop algorithms, create machine learning models, and analyze data to provide insights for engineering teams. You will collaborate with customers and contribute to marketing efforts while exploring applied mathematics and machine learning.