Why This Job is Featured on The SaaS Jobs
This Senior Software Engineer role sits at a common inflection point in modern SaaS: turning platform-grade data into customer-facing product value. The remit spans analytics engineering and product engineering, with an emphasis on shaping metrics and narratives that end users can act on. In a market where SaaS differentiation increasingly comes from trusted insights rather than raw dashboards, work like this is central to how data products mature.
For a long-term SaaS career, the role offers practice in the full lifecycle of data-driven feature development, from exploratory analysis and prototyping through to productionized pipelines and APIs. The close partnership with platform teams is also a useful lens into how SaaS companies scale internal capabilities, establish shared data contracts, and evolve roadmaps based on internal customer feedback. Experience with Python, SQL, and a modern warehouse stack tends to transfer well across SaaS domains.
This position is best suited to engineers who are product-minded and comfortable navigating ambiguity in problem definition, not just implementation. It will appeal to professionals who like collaborating with research, data science, and platform counterparts, and who enjoy writing proposals and requirements as part of engineering work. Candidates interested in measurable outcomes and data storytelling will find the focus aligned.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Jellyfish is the backbone for elite engineering organizations, and we are looking for a Senior Software Engineer to join our team and turn our rich data into high impact features that solve real problems for our customers. You’ll leverage existing platform capabilities while acting as a critical internal customer, providing feedback that shapes the roadmap of our core data platform. If you are passionate about data storytelling, building performant user-facing data products, and collaborating with platform teams to unlock new capabilities, you’re the perfect fit.
What You’ll Actually Be Doing:
You’ll join a small, highly collaborative team that works together to define questions for user research, experiment with internal data, and produce prototypes to validate ideas. You’ll engage with internal and external users, and have the opportunity to engage in all phases of product development.
Your work will primarily involve Python, Databricks, and Postgres, with occasional excursions into SQL. You’ll develop deep knowledge of the data in our catalogue, and help set priorities for new data sources. You’ll partner with a data scientist and another software engineer to try out data transformations that result in insightful and useful metrics.
You’ll work closely with our platform teams as they build the pipelines, components, and APIs we’ll rely on. You’ll write requirements docs and proposals, and engage in synchronous collaboration with the teams building our core data pipelines. You care about being a thoughtful and communicative partner for the platform teams.
You’re a great fit:
Product-Minded Data Engineer – You have solid, hands-on production experience with Python, SQL, and data transformation concepts. You are comfortable working in Postgres and in modern data warehouses, ideally Databricks.
Cross-Functional Collaborator – You thrive on cross-functional teams, with access to user research, and think critically about solving problems. You identify quick ways to test hypotheses and break apart complex projects into manageable pieces.
AI Native Engineer – You use AI tools effectively, and you’re eager to experiment with new ways of working. You’ll use our tools to evaluate those changes, improving both our workflows and our measurement tools.
A list of job experiences and qualification requirements is great, but humility, a performance-driven attitude, and a team-player approach are most important to us. We love to have fun and win in the process. We only hire people who have a passion for building great companies in an environment where a sense of humor is a must.
Occasional travel may be required.
Applicants must be authorized to work for any employer in the US. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Let’s talk about us!
This is all about you, but you want to know a little about us. Jellyfish is the leading intelligence platform for AI-Integrated engineering, helping more than 1,000 companies including DraftKings, Keller Williams and Blue Yonder, leverage AI to transform how they build software. By combining the industry’s deepest engineering dataset with context-rich intelligence, Jellyfish helps R&D organizations understand what’s driving impact, adopt proven industry best practices, and make smarter decisions across AI adoption, planning, delivery, and engineering performance.
