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Developer Success Engineer

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Thousands of teams sign up for Pydantic Logfire on their own. Some instrument a service in an afternoon and never look back. Others stall (a confusing config, an unanswered question, a dashboard nobody set up) and quietly disappear. Right now nobody at Pydantic is watching for that moment. That's the job.

You'll be the person who makes self-serve users successful: spotting where teams get stuck, unblocking them, and getting them to the point where Logfire is something they'd fight to keep. When an account outgrows self-serve, you'll hand it to sales with context to close, but the enterprise motion isn't yours. Your job is keeping and growing the success of our users.

You'll also be the person who hears their problems first. Every stalled setup and half-answered question is a signal you'll route back to product, engineering, and marketing: the voice of the developers building on Logfire, and a steady source of customer case studies and proof points that show others it works.

Few seats teach you this much, this fast. Whether you want a career as a hard-core developer or to move into GTM in the future, in this job you'll learn how to debug real production setups and how customer success relates to growth and revenue. You'll interact with product, engineering, and go-to-market organizations and understand how they fit together.

This is a first hire in the function. You'll report to our Head of Growth, partner closely with DevRel, sales, post-sales, product, and engineering to help define how developer success runs at Pydantic.

  • Watch activation funnels daily: who signed up, who instrumented, who invited teammates, who stalled, and where
  • Run proactive, specific check-ins with stalled or fast-growing accounts: pointing to the exact doc, config fix, or feature that gets them moving again
  • Handle technical questions from self-serve users, and escalate real bugs to engineering with a clean reproduction
  • Triage and debug user issues, and collect what you learn into raw material for content and marketing: real problems make the best tutorials, guides, and campaigns
  • Run onboarding sessions for promising teams: a 30-minute setup call at the right moment can change the whole trajectory of an account
  • Spot expansion signals (more services, more seats, usage approaching plan limits) and flag them to sales with the context to act on
  • Partner with our post-sales lead on the customer feedback loop, and support their expansion and retention work: one continuous picture of an account, from first signup to renewal
  • Feed friction patterns back to product and docs: you'll know better than anyone why users stall at step 3
  • Technical enough to help our end-users: you can read Python, debug a config, and follow an OpenTelemetry setup without hand-waving
  • You get genuine satisfaction from unblocking people: the profile here is closer to a great support engineer or community person than a salesperson
  • Patient and precise in writing: your answers are short, correct, and link to the right place
  • Commercially aware: you can tell the difference between a hobbyist who needs a doc and a team that needs a sales conversation, and you don't confuse the two
  • Organized and self-directed: you manage your own queue and priorities without daily supervision
  • You use AI tooling to handle the repetitive parts (triage, drafting, account research) so your time goes where judgment matters
  • Bonus: support, solutions engineering, customer success, or DevRel experience at a developer tools or infrastructure company; basic SQL; observability experience

Pydantic Validation is the data validation library that powers modern Python development: 1 billion downloads per month, used by virtually every tech company you've heard of. We're applying the same engineering mindset to Pydantic Logfire, our observability platform with first-class support for AI engineering, and Pydantic AI, our rapidly growing agent framework.

We commit over 20% of our engineering team to our open source ecosystem, build on open standards (OpenTelemetry, SQL, Postgres), and are backed by Sequoia Capital. We run a fully remote team across the US, Canada, and Europe with regular in-person offsites.

  • Developers come first: we built the most downloaded Python library in the world by earning developer trust. This role is that principle with a job title.
  • Fully remote: distributed across the US, Canada, and Europe, async by default, together in person three times a year.
  • Autonomy with a bias to action: small teams with real ownership. We hire people we trust and then trust the people we hire.
  • Location: Fully remote, US Pacific to Central EU time, with preference for overlap with US working hours
  • Type: Full-time
  • 💰 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)

To apply, email careers@pydantic.dev with the job title in the subject line. We'd also appreciate a few lines explaining why you think you'd be a good fit for the role and what you've done in the past that evidences that.

No recruiters or agencies please. Unsolicited recruiters will be marked as spam.