Jellyfish
Software engineering intelligence platform for R&D teams
Jellyfish provides a platform that analyzes developer tool data from sources like Jira and GitHub to deliver insights on engineering productivity, resource allocation, and AI tool impact. It helps engineering leaders align teams with business objectives, optimize performance, and measure outcomes using standards like DORA and SPACE. Used by over 500 companies to drive measurable R&D impact.
Sales Engineer I
Sales Engineer supporting Mid-Market segment by serving as technical advisor, conducting demos and POCs, and collaborating with Account Executives to drive complex sales cycles. Requires 3+ years customer-facing experience including 1+ year in sales engineering.
Strategic Account Executive - West Coast
Drive strategic enterprise B2B sales by building pipeline, managing complex technical deals, and partnering with SE/CS teams to close and expand business. Requires proven quota attainment and 10+ years enterprise sales experience.
Customer Success Manager
The Customer Success Manager will manage a portfolio of Enterprise customers, guiding them to maximize their use of Jellyfish. This role involves building strong relationships, developing success plans, providing product expertise, and collaborating cross-functionally to drive customer retention and expansion.
Staff Data Architect
Jellyfish is seeking a Staff/Lead Data Architect to design, automate, and scale their next-generation data platform. This role involves maturing core data models, automating environment boundaries, and driving advanced observability and cost-attribution into the data pipeline architecture.
Data Engineer
Jellyfish is seeking a Data Engineer to join their data platform team. This role involves building, automating, and maintaining data pipelines, translating architectural blueprints into production-grade pipelines, and ensuring high performance and data integrity.
Senior Data Engineer
Jellyfish is seeking a Senior Data Engineer to build, automate, and execute the next generation of their data platform. The role involves maintaining end-to-end data pipelines, modernizing orchestration, and automating data infrastructure.
Senior Sales Engineer
Partners with account executives to lead technical discovery, demos, and POCs for enterprise sales to engineering leaders. Requires enterprise pre-sales experience, technical proficiency in dev lifecycles, and executive presence.
Revenue Systems Architect (AI & Automation)
Architects and evolves AI-first revenue systems including Salesforce, CPQ, and billing integrations. Leads development in Apex/LWC, deploys AI agents for GTM automation, and partners cross-functionally on data governance and strategy. Requires 7+ years Salesforce experience with architect-level expertise.
Business Development Representative
Generates outbound pipeline targeting CTOs and VP Engineering at tech companies, engages executives in technical/business discussions, and collaborates with Account Executives on deal strategy in a fast-paced SaaS sales environment.
Senior Platform Engineer
Build and automate platform infrastructure using Python, Terraform, and AWS to reduce developer toil and enhance observability in a scaling startup environment. Advocate for best practices and incident learning with strong automation mindset.
Senior Backend Software Engineer
Builds and maintains scalable data pipelines, third-party integrations (Jira, GitHub), and workflow orchestration using Python and tools like Terraform and Airflow. Provides technical expertise in a high-agency engineering team, focusing on performance and modern ETL patterns.
Full Stack Engineer
Full Stack Engineer builds and ships SaaS features using TypeScript, Python, React, and Django in an agile team with daily AWS deployments. Requires 5+ years experience, startup interest, and strong collaboration skills.
Up-Market Account Executive
Drives up-market B2B sales by building outbound pipelines targeting engineering leaders, managing complex technical deal cycles, and partnering with sales engineering for demos and POCs. Requires proven quota overachievement and collaboration in fast-paced environments.