Jobs at Jellyfish

The Site Reliability Engineer will automate tasks, enhance platform infrastructure, improve observability, and lead incident response efforts for optimal performance.

The Implementation Engineer collaborates with customers to integrate Jellyfish into their software development processes, manage project onboarding, and provide ongoing training and recommendations.

The Business Development Representative will build a pipeline by targeting CTOs and VP Engineering, engage with executives, and collaborate with the sales team for strategy and qualification.

The role involves building a B2B pipeline, managing technical deal cycles, and maintaining customer relationships while achieving sales goals.

As a Strategic Account Executive, you will build and manage a B2B pipeline, engage in technical and business discussions with enterprise customers, and partner with sales engineering to ensure customer success. You will leverage your experience to drive sales growth and maintain strong client relationships post-sale.

Full Stack Engineers will design, develop and implement features for a SaaS product using React, Typescript, Django, and Python, collaborating within an agile team.

The Backend Software Engineer will develop data ingestion pipelines, implement observability tools, and provide technical support while improving team collaboration.

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

The Senior Backend Engineer will design and implement key SaaS features, focusing on data modeling and API performance, while collaborating with a senior development team to enhance engineering operations.

The Customer Support Specialist will troubleshoot customer issues, manage support requests, educate clients, and improve internal processes while collaborating with various teams.

The Sales Engineer II will provide technical expertise throughout the sales cycle, engage customers, collaborate with teams, and execute proof of concepts while driving business outcomes through the use of AI tools.

Lead engineering efforts in transitioning a SaaS platform to Native AI, manage teams, drive AI product development, and promote a culture of innovation.