Senior Full Stack Software Engineer

Senior Full Stack Software Engineer

Company details

Description of the offer

Preset is the modern analytics platform built on Apache Superset, the world’s leading open-source BI tool. We help companies deliver fast, beautiful, governed analytics at scale — without locking them into proprietary data modeling layers or closed ecosystems.

We work at the intersection of open source, cloud infrastructure, and product-led analytics, building tools that serve everyone from data analysts to platform engineers.

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The Role

Preset is looking for a Senior Full Stack Engineer to help lead the next generation of our product and platform.

This is a high-impact role for someone who thrives in complex systems, cares deeply about user experience, and wants to shape the future of open analytics.

You will work across the stack — from frontend experiences in Superset to backend services, APIs, and cloud infrastructure — and play a key role in technical direction, mentorship, and execution of major product initiatives.

This is not a narrow feature-only role: you will be trusted to own ambiguous problems, drive architecture decisions, and help scale both the product and the engineering organization.

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What You’ll Do

Build Across the Full Stack
• Design and ship end-to-end product features spanning frontend, backend, and infrastructure
• Work deeply in the Superset ecosystem (React + Python + SQL + APIs)
• Improve performance, scalability, and reliability of user-facing workflows

Own Major Technical Initiatives
• Lead large projects such as:
• Semantic layer integrations
• Caching and performance improvements
• Embedded analytics experiences
• Permissions modernization
• Drive technical planning, tradeoff discussions, and execution across teams

Raise Engineering Standards
• Set best practices for code quality, testing, observability, and maintainability
• Mentor senior and junior engineers and strengthen team execution

Collaborate Cross-Functionally
• Partner with product, design, and customer-facing teams to deliver impactful outcomes
• Work closely with open-source contributors and the Apache Superset community

Shape the Future of Analytics + AI
• Build workflows that support AI-assisted analytics, LLM integrations, and next-generation BI experiences
• Help define what “modern analytics” looks like in an open ecosystem

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What We’re Looking For

Experience
• 8+ years of professional software engineering experience (or equivalent)
• Strong full stack background: modern frontend + backend + systems thinking
• Experience leading major initiatives in complex production environments

Technical Strength
• Deep knowledge of:
• React + TypeScript (frontend architecture, performance, UX)
• Python backend development (APIs, services, async systems)
• SQL and data-intensive applications
• Comfort working in cloud-native environments (AWS, Kubernetes, Docker)

Product + Systems Mindset
• You care about user experience as much as backend correctness
• You think in systems: reliability, scalability, operability, long-term evolution
• You thrive in ambiguity and enjoy turning messy problems into clear solutions

Leadership
• Proven ability to mentor engineers and raise the bar across a team
• Strong communication and collaboration skills
• Ability to drive alignment without heavy process

Bonus Points
• Experience with BI tools (Superset, Looker, Tableau, Power BI, Mode, etc.)
• Familiarity with semantic layers (dbt, Cube, MetricFlow, etc.)
• Open-source experience (especially in the Apache ecosystem)
• Experience building embedded analytics or multi-tenant SaaS platforms
• Interest in AI/LLM-enabled developer and analytics workflows

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Why Preset
• Work on one of the most widely adopted open-source analytics platforms in the world
• Solve challenging problems at the intersection of data, product, and infrastructure
• Help define the future of open, composable BI — not closed dashboards
• High autonomy, high-trust engineering culture
• Opportunity to lead at Senior scope with real ownership

Location of employment

How to apply?