Job description
About Brilliant
Brilliant’s mission is to create a world of better problem solvers. We make games for learning in math, science, computer science, and data analysis, for iOS, Android, and web. On Brilliant, you learn by doing – there are no videos, everything is interactive. We get you hands-on, figuring things out on your own. We help learners develop intuition through interaction, build understanding through experimentation, and have fun.
We serve hundreds of thousands of paid subscribers, and we’re hoping you might be the right person to contribute to accelerating our footprint to millions of customers (and changed lives). In addition to what’s below, you can see all open roles and learn more about our team culture on our careers page.
We have always prioritized building a healthy business as the backbone of achieving our mission. We are default alive (will be profitable before needing to raise), don’t over-hire, are growing new customers at an exciting pace (high double-digits year-over-year). Our investors are top-tier + mission aligned, and we’ve kept our valuations tethered to reality – we aren’t playing “catch up” like many others.
In our day-to-day, we value adventure, excellence, generosity, and candor. We are optimists in the face of uncertainty, we take pride in our work, we go the extra mile for each other, and we tell it like it is (the good and the bad). We’re all here to do the best work of our lives together, and have a lot of fun along the way.
We believe that real-time collaboration and human connection are necessary ingredients in building a high-velocity, creatively-oriented consumer product. We maintain core hours (9:30am - 2:30pm Pacific) where everyone is online, regardless of timezone. Over half of us are located near our hubs in SF and NYC, and folks outside of those cities travel to attend team offsites once-per-quarter.
The Role
Producers at Brilliant work in small teams to design new learning games on our interactive platform. As a Producer (AI Tooling), you’ll scale the depth around each lesson—from a clear plan to a robust layer of practice and guidance—so learners get the reps and clarity they need, and our generative systems stay grounded in golden examples of great pedagogy.
This role exists to save the world from AI slop. We want to use use intelligence-on-tap to drive engaging interactive learning, not walls of text.
Human curriculum designers set the learning objective and level design; AI does the heavy lifting under guardrails you design. You will be joining a passionate and experienced team of entrepreneurial-minded people who are working to make a meaningful impact on the world.
If these posts resonate, you’ll feel at home here:
- Hand-crafted, machine-made: How we make learning games with AI
- When “almost right” is catastrophically wrong: Evals for AI learning games
To be considered for this role, please include your best example(s) of how you’ve taught new STEM concepts interactively online, plus a brief description of an AI-enabled workflow you’ve designed and what impact it had.
Responsibilities:
- Lead the planning, outlining, and generation of the depth associated with each learning node, from hand-selected golden examples to AI generation at scale.
- Design clear, approachable content that meet high quality bars for clarity, difficulty ramp, voice, and bingeability — then hold the AI to those bars.
- Design and monitor evals that keep “almost right” from shipping; monitor drift and regressions and course-correct quickly.
- Use data and learner feedback to prioritize coverage, tune difficulty, and address confusion clusters; iterate quickly to improve outcomes.
- Prototype pragmatic tooling that speeds up high-quality depth creation and bulk edits to prove value before Engineering hardens them.
- Document playbooks so other producers can run these flows and hit the same quality bar.
- Partner with Product, Design, and Engineering to influence the representations and interfaces that make interactive content reliable and LLM-operable.
- Frequently ask: How does this impact our learners?
You
- Have strong pedagogical taste in STEM education and can articulate what “good” looks like.
- Are AI-literate operationally: you’ve shipped LLM-driven workflows with real acceptance criteria, not vibes — dynamic prompt/version/eval/orchestrate until the suite goes green.
- Are technically scrappy: comfortable scripting with Claude’s help in Python, querying SQL, calling GraphQL endpoints, and gluing tools/CLIs together (yes, even ffmpeg when needed).
- Think like QA: you design tests, hunt edge cases, and refuse to ship “almost right.”
- Communicate crisply: tight specs, precise bug reports, clean dashboards, and docs others actually use.
- Are great at context switching and prioritizing among a large workload.
- Have an openness to change and a willingness to experiment with formats and platforms.
- Are not afraid to jump into any aspect of a project to fill a vacuum, no matter how big or small.
$145,000 - $185,000 a year
Plus stock options.
Compensation and Benefits
We use a systematic compensation framework: salary scales are set each year for each job vertical, managers level folks on their team, and those levels are mapped directly to our compensation scales. A location-based adjustment is applied outside of SF and NYC (typically 5-10%) - feel free to ask us about your location!
Given the systematic approach, we always make First and Best offers - there is no negotiation (for new hires nor our existing teammates). This ensures people are paid based on their expected contribution, not their negotiation skills.
We offer top-notch health care plans, with 100% of the premiums covered for medical, dental, and vision for employees. About 1⁄3 of our team are parents, and we provide generous parental leave + up to $1900/mo in dependent healthcare coverage.
We offer flexible PTO, with a norm of taking off about 6 weeks per year (including federal holidays). We also provide home office equipment, a professional development stipend, and free food at our offices.
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