Observability Experience Product Engineer

The Opportunity

Logfire helps engineers understand what their agents and applications are doing in production. They follow traces through services, model calls, and tools; inspect logs; query telemetry with SQL; and compare evaluation results. We're hiring an Observability Experience Product Engineer to design and build those workflows. You'll work in React and TypeScript, making live data, large query results, and complex traces understandable and responsive. This is a frontend-focused role with ownership of product decisions. You'll help decide what information to show and how engineers move from an unexpected result to its cause. We use Logfire ourselves every day, so you'll have plenty of opportunities to improve the parts that frustrate you.

What You Will Do

Build performant, intuitive interfaces for observability data: trace views, dashboards, live tail, alerts, and the evals and experiments surfaces. Design and implement complex data-visualization and large-table components that stay fast over very large volumes of data. Optimize for live, streaming data — keeping the UI responsive while data updates in real time. Work closely with the design and backend teams, and help shape the API contracts your features depend on. Grow and maintain our component library and design system; document components, refactor, and write tests. Participate in design and code reviews, and keep pushing the code-quality and UX bar forward. There are frequent opportunities to contribute to open source — we believe in growing the community as we grow the company.

Who You Are

We expect a candidate for this position to have: Strong, informed opinions about what makes a good observability solution. You can explain which signals matter, how engineers investigate production systems, and where existing tools help or get in the way, then turn those judgments into product decisions. Strong React and TypeScript experience, with solid software-engineering fundamentals and well-structured, performant code. Deep knowledge of the web platform and browser performance. Experience building interactive charts, virtualized tables, and interfaces for live or streaming data. We use ECharts for charting. A strong eye for visual design and usability, and the range to move between systems thinking and pixel-level detail. Experience keeping UI consistent and maintaining a component library / design system as an application grows. Accessibility experience, including color contrast, ARIA, and keyboard navigation. Experience designing loading states, transitions, and UI animation that help users understand what is happening. Comfort using SQL to explore data and understand query results. Comfort working in Python or Rust and contributing across the frontend and backend. An interest in AI engineering. Self-motivation and a track record of working effectively in a remote environment, ideally with startup or small-team experience. At least 5 years of software engineering experience. Open source contributions are a plus.

Non-Technical Requirements

Live and work in a timezone between PT (UTC-8) and CET (UTC+1). This is a hard requirement — please do not apply if you do not meet it. Able to travel to EU, UK and US up to 4 times a year to join our off-sites

About Us

Pydantic Validation is the data validation library that powers modern Python development - 500 million downloads per month, used by virtually every tech company you've heard of. Why? Because we obsess over developer experience and write code we'd actually want to use ourselves. We're applying that same engineering mindset to Pydantic Logfire, our observability platform with first class support for AI engineering, built for today's development reality: AI workloads, multi-language environments, and cloud infrastructure that's designed to be straightforward to set up and maintain. We build with technologies developers actually want to work with: OpenTelemetry for standardized instrumentation SQL for intuitive querying (no proprietary query language to learn) Rust, Python, and TypeScript for performance and productivity Postgres, DataFusion, and object storage for scalable backends Unlike other companies that pay lip service to open source, we commit over 20% of our engineering team to maintaining and expanding our open source ecosystem. This includes the core Pydantic Validation library and Pydantic AI - our rapidly growing framework that's becoming the standard for AI application development. We're signatories of the open source pledge and build on open standards because we believe in interoperability, not lock-in. Use our OpenTelemetry-based SDK with any compatible backend - we're confident you'll choose us on merit. We're backed by Sequoia Capital and run a fully remote team across multiple time zones, with regular in-person offsites. Join our team of exceptional engineers who value substance over hype, practical approaches over perfectionism, and meaningful progress over busyness. We've built a culture that balances technical ambition with sustainable practices—minimal meetings and respect for your expertise and time. We're creating tools that genuinely improve developers' lives, and we're looking for thoughtful contributors who share our commitment to quality and our passion for elegant solutions.

Perks & Benefits

💰 Compensation: Competitive salary and stock options 🌍 Truly Remote: Work from anywhere within our timezone range - no office requirements 🌐 Global & Diverse: Join a multi-cultural team of 8+ nationalities 💪 Impact: Direct influence on tools used by millions of developers worldwide 🎯 Focus on Growth: Regular opportunities for learning and professional development 🤝 Team Gatherings: Connect with the team at our regular international off-sites 🏥 Healthcare: Comprehensive health coverage for you and your dependents 🎮 Flexible Hours: Work when you're most productive 💻 Equipment: Budget for your home office setup ⚖️ Work-Life Balance: flexible working hours and 33 days PTO no matter where you live (including public holidays, which you can choose to take or not)