Define the architecture and technical direction for data pipelines and integration platforms at scale. Lead the design of workflow orchestration systems and internal AI-driven tooling to accelerate engineering velocity.
Jellyfish
13 Remote Job Openings at Jellyfish
Serve as a technical advisor during the sales cycle to align platform value with prospect needs and deliver impactful product demonstrations. Collaborate with product, marketing, and customer success teams to execute proof of concepts and refine the sales approach.
Define the architecture and technical direction for data pipelines and integration platforms at scale. Lead the design of workflow orchestration systems and internal AI-driven tooling to accelerate engineering velocity.
The role is responsible for sourcing a B2B pipeline by targeting technical executives and managing complex deal cycles through product demonstrations and POCs. It also involves partnering with Sales Engineering and Customer Success to drive post-sale expansion and renewals.
Manage a portfolio of enterprise customers to drive product adoption, retention, and long-term success. Act as the primary strategic bridge between customers and internal product and engineering teams to resolve blockers and prioritize enhancements.
The role involves building and automating the next generation of the Jellyfish data platform, focusing on core data models and production-grade CI/CD pipelines. Responsibilities include maintaining Medallion layers, optimizing orchestration engines, and managing data infrastructure via Terraform.
Design and scale the next-generation data platform, focusing on maturing core data models and automating environment boundaries. Lead the modernization of workflow orchestration, compute scaling, and the implementation of granular data observability and cost-attribution frameworks.
Build and maintain high-performance data pipelines using Python and SQL, implementing Medallion-layer data models. Manage infrastructure via Terraform and optimize workflow orchestration and observability tools.
Lead technical discovery and design proof of concepts to showcase platform value to senior engineering leadership. Collaborate with product teams to influence the roadmap and mentor peers to improve overall sales engineering effectiveness.
Own the architecture and evolution of the revenue systems stack, focusing on Salesforce, CPQ, and billing integrations. Build and deploy AI agents to automate GTM workflows and replace repetitive manual processes with intelligent systems.
The role involves building an intelligent pipeline and leading technical and business conversations with engineering leadership at up-market accounts. The AE is responsible for managing the full deal cycle, from product demos to executive read-outs, while owning the long-term revenue relationship including renewals and expansions.
You will execute, monitor, and optimize paid search campaigns for a client portfolio while managing reporting and performance analysis. Additionally, you will contribute to business development, mentor team members, and implement comprehensive PPC strategies.
The engineer will focus on building the platform by automating repetitive tasks and hardening fragile infrastructure in collaboration with product teams. Key activities include eliminating toil through tooling (Terraform/Python), advocating for sound architectural patterns, and enhancing observability beyond simple alerting.
