Jellyfish

Design and maintain enterprise data lakehouse platform and pipelines with governance and orchestration. | Deep experience in data platform engineering with Python, SQL, Databricks, and ability to deliver senior-level technical solutions. | As a Senior Data and AI Platform Engineer on the Jellyfish Research team, you will support our mission to deliver product innovation, cutting-edge research, and trusted analytics and insights across Jellyfish. You will help build the data and AI platform that powers our internal enterprise-wide analytics, self-service BI, agentic analytics, and AI-enabled workflows. This role is ideal for a senior individual contributor who is excited to combine traditional data engineering with modern data platform ownership. You will still build ingestion, transformation, and data delivery pipelines, but your broader mandate will be to help make Databricks the trusted foundation for analytics and AI across the company. You will play a key role in designing and operating our Databricks Lakehouse, governing our data through Unity Catalog, enabling accurate and scalable BI within Databricks, and building the foundation for agentic analytics using capabilities such as Genie, Databricks Apps, Ontology, and other Databricks-native AI and analytics features. Most importantly, you will be part of a highly talented team working in a fun, challenging, and collaborative environment, building a fast-growing business led by experienced entrepreneurs and backed by top-tier investment partners. Let’s talk about what you’ll do Design, build, and maintain data platforms and pipelines that support analytics, data science, BI and AI across Jellyfish. Lead the evolution of Jellyfish’s Databricks Lakehouse platform, helping define the architecture, governance model, development patterns, and operating practices that make the platform reliable, scalable, and easy to use. Be a leader in enabling enterprise-wide agentic analytics within Databricks with trusted datasets, semantic definitions, well-managed context, and well-governed agentic access. Help mature core Databricks platform capabilities, including Unity Catalog, governed data access, data lineage, metadata management, compute patterns, environment management, and platform observability. Build and maintain ingestion pipelines that bring high-value data into the Lakehouse Partner on data flows that send trusted data to other internal systems Collaborate with data scientists, analysts, product managers, engineering leaders, customer success leaders, go-to-market leaders, and other stakeholders to understand analytical needs and design durable platform solutions. Create standards and reusable patterns for data modeling, documentation, observability, testing, governance, and AI-readiness across the data platform. Develop tools and processes to monitor data platform health, pipeline reliability, cost, performance, usage, and trust. Provide technical leadership as a senior individual contributor by setting architectural direction, raising engineering standards, mentoring teammates, and helping the team make high-quality technical decisions. Stay current with emerging Databricks and AI capabilities, evaluate where they can create real value for Jellyfish, and help turn promising ideas into production-ready platform capabilities. Let’s talk about what you need to excel You have deep experience in data engineering, data platform engineering, analytics engineering, or related roles. You have designed, built, and operated reliable data platforms or large-scale data pipelines in production. You have strong experience with Databricks or similar lakehouse/data platform technologies, and you are excited to help make Databricks a central platform for analytics and AI. You understand how to build governed, well-modeled data assets that can support BI, analytics, data science, and AI use cases. You have experience with data ingestion, transformation, orchestration, testing, monitoring, and data quality practices. You have advanced SQL skills and experience working with multiple database and warehouse technologies. You are a strong programmer, with experience building production-grade systems in Python or similar languages. You understand the importance of metadata, documentation, lineage, access control, and semantic context in making data trustworthy and usable. You are excited about AI and agentic analytics, but you also understand that successful AI depends on strong data foundations, clear definitions, governance, evaluation, and operational discipline. You are comfortable working with technical and non-technical stakeholders, translating ambiguous needs into durable platform capabilities. You operate as a senior individual contributor: you can lead through architecture, judgment, communication, influence, and execution without needing to be a people manager. You love learning new things and teaching others what you know. You have strong communication skills and enjoy working as part of a cross-functional team. Bonus points if you have experience with Databricks Unity Catalog, Databricks SQL, Lakehouse architecture, Delta Lake, Databricks Workflows, Databricks Apps, Genie, or related Databricks AI/BI capabilities. Building platforms for self-service analytics, governed BI, semantic layers, metrics layers, or AI-assisted analytics. Designing data platforms that support LLMs, agents, retrieval-augmented generation, MCP, or other AI-enabled workflows. Infrastructure-as-code and platform automation tools such as Terraform, Databricks Asset Bundles, CI/CD pipelines, or similar technologies. dbt and modern analytics engineering practices 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.

Develop data products using Python, Databricks, and Postgres while collaborating with teams to define metrics and roadmap. | Requires production experience with Python, SQL, modern data warehouses, and product-minded collaboration. | 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. Internal Platform Advocacy – You act as an internal customer for our platform teams, providing high-quality feedback that shapes the roadmap and improves the overall product ecosystem. 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 enables leaders to effectively build AI-integrated engineering teams, align engineering decisions with business initiatives and deliver the right software efficiently and on time. AI tools alone won’t transform your org—Jellyfish shows you what’s working, what’s not, and how to build high-performing teams that know how to use AI the right way.

Manage enterprise customer portfolios to drive adoption and retention while bridging customers and internal teams. | Experience in post-sales or deployment strategy in fast-paced software companies managing complex enterprise relationships with strong technical aptitude. | Join Our Team: Customer Success at Jellyfish We are looking for people with a passion for making our customers successful. In this role, you will work directly with a portfolio of new and existing Enterprise customers, helping them get the most out of Jellyfish. Sitting at the intersection of strategy, customer engagement, product, and technology, you will be their main point of contact—guiding, training, and advising leaders to map out high-impact workflows, drive scaled adoption, and leverage Jellyfish to align their organizations with business goals. Your mission: help us retain every customer as long as possible by driving ongoing success, transforming their biggest operational challenges into durable solutions, and making Jellyfish mission-critical to their operations. Responsibilities Develop Deep Relationships: Build strong, trusted-advisor relationships with key stakeholders and executive sponsors for each assigned enterprise account. Drive Success Plans: Create and evolve tailored deployment and success plans for each customer, driving execution throughout their lifecycle to retain, strengthen, and expand relationships. Master the Product: Develop and maintain a deep understanding of the Jellyfish platform. Deliver deep-dive product demos, map technical workflows, and identify creative use cases to drive adoption. Educate & Enable: Lead onboarding and training to ensure durable adoption across teams and functions. Facilitate the training of new users as the Jellyfish footprint expands. Keep Regular Checkpoints: Proactively manage customer relationships. Monitor account health, conduct impactful Executive Business Reviews (EBRs), and act decisively if a customer shows signs of churning. Partner Cross-Functionally: Collaborate with Account Executives and Managers to unlock expansion opportunities and drive renewals. Be the Voice of the Customer: Work closely with internal Product, Engineering, and Forward Deployed teams to scope prototypes, troubleshoot blockers, and prioritize strategic enhancements requested by customers. What You Need to Excel Customer Success Core: Experience with post-sales, pre-sales, or deployment strategy managing complex enterprise relationships in fast-paced, high-growth software companies. Empathic Teacher at Heart: Driven by the success of others, able to clearly and thoughtfully explain product concepts to customers and use cases to internal teams. Technical Aptitude: Technically proficient and analytical. Comfortable collaborating with engineers and understanding technical workflows or software development. Comfort with Ambiguity: Thrives on change, applies logic to undefined situations, and seeks innovative paths beyond the status quo. Excellent Organizational Skills: Proactive, collaborative, and results-driven, able to plan and prioritize multiple moving parts. The Right Attitude: While experience is great, humility, a performance-driven mindset, and a team-player approach are most important to us. We love to win and have fun—a sense of humor is a must. What Success Looks Like Customers achieve value fast, and Jellyfish becomes indispensable to their growth and innovation. Your portfolio maintains stellar retention rates, with natural expansion across enterprise functions. You’re the strategic bridge connecting Jellyfish customers with product, engineering, and growth teams. About Jellyfish This is all about you—but here’s a bit about us. Jellyfish was founded on one big idea: engineering and modern operations are the core of business. Together with our customers, we’ve built a platform that helps the world's most ambitious organizations rethink how work gets done. We empower engineering leaders to align everyday work with strategic business initiatives and provide unmatched visibility into how organizations really operate. We are a talent-dense team valuing extreme ownership, high velocity, and low-ego collaboration. We believe a diverse team builds the best company. Jellyfish welcomes people from all backgrounds and especially encourages applicants from groups underrepresented in the software industry. 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 enables leaders to effectively build AI-integrated engineering teams, align engineering decisions with business initiatives and deliver the right software efficiently and on time. AI tools alone won’t transform your org—Jellyfish shows you what’s working, what’s not, and how to build high-performing teams that know how to use AI the right way.

Build and automate data platform components including data models and CI/CD pipelines. | Requires production experience with Python, advanced SQL, data transformation frameworks, and data infrastructure management. | Jellyfish is the backbone for elite engineering organizations, and our data pipelines need to be as high-performing and reliable as the teams we serve. We are looking for a Senior Data Engineer to help us build, automate, and execute the next generation of our Jellyfish data platform. Working closely with our Lead Data Architect, you’ll be responsible for implementing core data models, building production-grade CI/CD for data pipelines, and transforming raw engineering signals into highly optimized analytical layers. If you view broken pipelines and manual data patches as a technical debt to be solved and want to write code that directly impacts how the world’s best engineering leaders measure their output, you’re the perfect fit. What you’ll actually be doing: Pipeline Execution & Modeling – You’ll maintain our end-to-end data pipelines, writing clean, modular Python and SQL. You will help translate the architectural blueprint into reality, structuring data across our Medallion layers (Bronze > Silver > Gold) for maximum performance and reliability. Orchestration Modernization – You’ll take the lead on migrating, optimizing, and maintaining our workflow orchestration engines. You’ll eliminate pipeline bottlenecks, leverage modern fast-paths (like Pydantic v2 and async database clients), and ensure distributed tasks scale seamlessly without hitting API limits. Data CI/CD & Infrastructure Automation – You’ll build the "paved road" for data deployments. You’ll use Terraform to provision data resources and write automated tests to validate schemas and data quality before code ever hits our isolated staging or production catalogs. API & Caching Integration – You’ll collaborate with product developers to expose data safely. You’ll help design and optimize the application backend tiers, backend-for-frontend (BFF) layers, and Redis caching structures that protect our core data warehouse from frontend concurrency spikes. On-Call & Observability Triage – You’ll participate in the data platform's incident response rotation. You won't just patch a failing pipeline; you’ll build deep observability, refine alerts to reduce noise, and write programmatic fixes to ensure the issue never happens again. You’re a great fit if: Data Engineering Fluency – You have solid, production-level experience with Python, advanced SQL, and data transformation frameworks (like dbt or PySpark). You are highly comfortable working with programmatic orchestrators (such as Prefect, Dagster, or Airflow). Warehouse & Catalog Practitioner – You know your way around enterprise data platforms (e.g., Snowflake, Databricks, BigQuery). You understand how to safely navigate environment boundaries, manage access keys securely, and write performant queries that don't balloon the cloud bill. Automation Mindset – You look at a repeated data backfill, a manual schema fix, or an untracked data quality bug and immediately think about how to script a permanent, automated solution. Collaborative Builder – You love working in a team. You write readable code, value thorough documentation and clear data lineage, and enjoy collaborating with application engineers to solve complex data delivery problems. Pragmatic Problem Solver – You know when to write a perfectly optimized distributed processing job and when a simple, well-indexed database table or cached view is the smartest move to keep the business moving. Bonus Points: You’ve survived (and thrived in) a rapidly scaling startup handling complex, multi-tenant B2B SaaS data. You have strong opinions on data quality testing frameworks (like Great Expectations or Soda) and data-observability patterns. You’ve worked extensively with cloud cost allocation or tracked token-level spend for LLM/AI model integrations. 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 enables leaders to effectively build AI-integrated engineering teams, align engineering decisions with business initiatives and deliver the right software efficiently and on time. AI tools alone won’t transform your org—Jellyfish shows you what’s working, what’s not, and how to build high-performing teams that know how to use AI the right way.

Design and implement scalable backend features to model complex organizational data and support SaaS product operations. | 10+ years backend SaaS development experience with Python/Django, strong data modeling, API scaling, and collaborative communication skills. | Jellyfish's engineering team is solving one of the hardest problems in engineering operations: understanding how teams actually organize themselves and deliver work. To help us get there, we're looking for a senior backend engineer who loves untangling complexity and building systems that scale. You'll join a tight-knit team of senior engineers working to map the real structure of our customers' engineering organizations. Teams don't organize the way org charts suggest. Projects span multiple teams. Dependencies create hidden bottlenecks. Your job is to build the capabilities that let our product represent team configurations as they actually exist. This means finding pragmatic solutions—the right abstractions that capture 80% of the problem. Aspire to handle the complexity, but don't fall into the completionism trap. The goal is customers seeing their organization clearly and understanding how teams are performing and projects are progressing. This role demands someone who can navigate complicated data models, trace dependencies across systems, and design solutions that are both powerful and maintainable. You'll work with data from project management tools, version control systems, and collaboration platforms to build a complete picture of how engineering work flows through an organization. The best candidates are senior engineers who get energized by complex technical challenges, care deeply about data modeling and system design, and want to build products that help engineering leaders make better decisions. Let's talk about what you'll do: • Design, plan and implement key features as part of a highly effective development team • Rapidly deliver value for our customers by pushing features to our AWS-hosted SaaS environment daily, with automated CI/CD pipelines • Provide technical and product expertise within your team and across the organization • Communicate effectively about project status and technical issues • Participate in your team’s agile process and work to continually improve your team’s capabilities • Provide support for production operations of the Jellyfish product • Actively participate in a culture supportive of growth and inclusion on your team Let's talk about what you need to excel: • 10+ years of experience building SaaS products with a focus on Back End development • Strong skills in Python, and passion for building production software systems using Django • Expert-level abilities in data modeling in relational database systems and experience with and interest in other database technologies such as columnar systems. • Experience with scaling, performance, and benchmarking of APIs and data processing systems. • Fluency with tools such as Copilot, Cursor, Claude Code, Kiro and a track record of using them to build and ship fast. • Have worked in or interested in a growth-stage startup • Curiosity - great at asking questions, figuring out what needs to be done, building consensus, and executing • Love learning new things and teaching others what you know • Strong communication skills • Enjoyment of collaborative work 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 enables leaders to effectively build AI-integrated engineering teams, align engineering decisions with business initiatives and deliver the right software efficiently and on time. AI tools alone won’t transform your org—Jellyfish shows you what’s working, what’s not, and how to build high-performing teams that know how to use AI the right way.