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Education Perfect
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Developer Relations Engineer

Perfect
United StatesUnited States
Full-time
$149,000–$219,000
Senior-Level

Job Description

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Role Summary

We're hiring a Developer Relations Engineer reporting to our Chief Growth Officer. You own how developers learn to build with Prefect, Dagster FastMCP anda> and Horizon. That means reference implementations people copy into production, technical content (including video), docs and DX gaps you find by being your own first user, and a public presence on stage, on stream, and in issue threads.

Our Agentic platform is becoming how enterprises govern all their agent workflows: who can reach which MCP servers, what data flows through them, how usage gets audited, how policy gets enforced. Whoever takes this role will help shape how the world learns about it: the demos, the talks, the reference implementations, while the thing is still being figured out.

This is a generalist role by design. You'll write Python, appear on camera, review docs PRs, and file the bug you just hit, often in the same day.

Time zones: Anywhere in the continental US. We're remote-first. Expect travel for events and a few days a quarter in our recording studio. We have a slight preference for candidates near New York or the Bay Area, but it isn't a requirement.

What You'll Do

In your first year you will:

  • Ship reference implementations developers copy. Working, maintained examples: MCP servers with production auth, gateway configurations, agentic workflows that do something a person would pay for. The bar is that someone builds on your code in production, not that it demos well.

  • Teach people about agentic workflows. Take a product being defined in real time and make it understandable through demos, posts, talks, and video that a skeptical senior engineer finds honest. You'll work directly with product and engineering while the thing is still moving.

  • Make video a channel we're good at. We built a recording studio this year and publish across YouTube, LinkedIn, X, and TikTok. You'd own the technical end: what to build on camera, and how to make a fifteen-minute build watchable.

  • Improve DX by being the first user. Build with our tools before customers do, then file the issue, send the docs PR, and fix the example.

  • Represent us in public. Conference talks, PyAI, livestreams, podcast episodes, and participation in MCP and Python AI communities as a practitioner rather than a booth.

  • Bring the field back in. You'll see what confuses people, what breaks, and what's missing before anyone else does. Turn that into product feedback our engineering team can act on.

Your Qualifications

Must have

  • 6+ years writing software professionally, strong Python desirable. This is an engineering role with a public-facing job attached.

  • A public body of technical work we can go read: repos, posts, docs, talks, or videos developers used. One excellent thing beats ten mediocre ones, and we'd rather see the artifact than hear it described.

  • You've built things with LLMs and agents (MCP servers, tool calling, agent frameworks, retrieval) and have opinions about what breaks once it's in front of users.

  • You're good on camera and on stage, or you've clearly got it in you and can show us something. Comfortable isn't enough; a lot of this job is being watched.

  • You can run as a team of one. You'll choose what to build, ship it, and tell us honestly whether it landed. Nobody is going to hand you a content calendar.

Nice to have

  • You maintain or substantially contribute to a popular open-source project.

  • An existing developer audience: YouTube, X, Twitch, a newsletter, wherever.

  • Data engineering or orchestration background: Prefect, Dagster, Airflow, dbt. Half our community lives there.

  • You can hold a conversation with a platform or security engineer about SSO, RBAC, audit logs, and PII without changing the subject. Enterprise governance is where Horizon lives.

Who this role is not for

We'd rather you rule yourself out now than be unhappy in six months.

  • You're looking to stop writing code. If DevRel is how you'd like to transition out of engineering, this isn't the one. You'll read and write Python or other languages every week.

  • You want to be a thought leader. We're hiring people who build the thing and then explain it. If your last two years are conference talks with no shipped code behind them, we'll notice.

  • You need a stable roadmap. One of the products you'd be explaining is being designed while you explain it. That's the fun part or it's the dealbreaker; be honest with yourself about which.

What You'll Get in Return

Base Salary Ranges:

  • San Francisco Bay Area & NYC Metro: $165,000–$219,000

  • Washington D.C., Boston, LA Metro, Seattle: $150,000–$194,000

  • Denver, Chicago, Atlanta, & all other U.S. metros: $149,000–$193,000

Actual base salary within each range depends on the candidate's location, experience, and qualifications. Please keep in mind that equity and benefits are not included in the range provided above. Your recruiter can share more about the salary range for your preferred location during the hiring process.

Perks and Benefits:

  • Remote-first team with flexible-first culture

  • Equity Stock Options

  • 401(k) with 5% company match (vests immediately!)

  • Unlimited PTO

  • Medical, Dental and Vision insurance

  • Generous Parental Leave

  • Life Insurance and Disability benefits

  • $800/month remote work stipend

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Education Perfect

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Education Perfect (operating under educationperfect.com) is a premier, B-Corp certified global EdTech platform designed as an all-in-one learning, assessment, and analytics ecosystem for K-12 schooling. Founded in 2007 in New Zealand by brothers Craig and Shane Smithβ€”initially launching as "Language Perfect" before expanding and rebranding in 2014β€”the platform addresses the challenges of classroom differentiation and heavy administrative burdens placed on educators. By providing deep curriculum-aligned resources across core subjects like Mathematics, Sciences, English, Humanities, and Modern Languages, the platform acts as a whole-school solution. Education Perfect synthesizes data-driven insights with adaptive learning tech, utilizing automated learning pathways, real-time diagnostic reporting, and spaced repetition to personalize education for individual student paces. Its technical infrastructure empowers teachers with automated grading, custom task allocation, and predictive formative assessment capabilities, thereby maximizing instructional time and bridging equity gaps in classrooms. Backed by significant growth partnerships and global investment from firms like KKR and Five V Capital, Education Perfect has scaled extensively, serving over 5,000 schools and millions of students across more than 80 countries. The company operates from its global headquarters in Dunedin, New Zealand, alongside major operational hubs across Australia, the United Kingdom, and Canada.

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