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Open nowPosted 225 days ago

Senior Full Stack Product Software Engineer

Preset, Inc.3 open roles

Where
Remote
Work mode
Remote
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Your applicationOpen nowSenior Full Stack Product Software EngineerPreset, Inc. · Remote

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Share of postings closed within
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  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 225 days ago

The posting

Location: Remote (US / Canada preferred) Company: Preset Team: Product Engineering

About Preset 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.

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.

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/performance improvements, embedded analytics experiences, or 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 What We’re Looking For Experience 6+ 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 the user experience as much as the 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, PowerBI, Mode, etc. Familiarity with semantic layers: dbt, Cube, MetricFlow, etc. Open source experience (especially Apache ecosystem) Experience building embedded analytics or multi-tenant SaaS platforms Interest in AI/LLM-enabled developer and analytics workflows 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 Staff/Principal scope with real ownership

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