RunPivot is an AI-native experimentation platform. Teams describe a change in plain English, RunPivot generates on-brand variants, runs the test, and ships the winner when results hit confidence. Built-in analytics, heatmaps, and session replay feed the loop. The product is live, self-serve, and built for marketers and growth teams who need tests running this week, not next quarter.

We're looking for a Software Engineer to build the RunPivot platform: the surfaces where customers create experiments, review variants, launch tests, read results, and roll out winners. This is the core product, not a side internal tool.

The ideal person cares about product quality, moves fast without being sloppy, and wants to work on applied AI in a workflow people use every day. Remote worldwide.

What you'll do

• Build and improve the core product: experiment creation, variant review, targeting, live tests, reporting, and winner rollout.
• Design and ship features across the stack, from UX-facing flows to the APIs and services that keep experiments reliable at scale.
• Integrate AI throughout the workflow: prompt-to-variant generation, experiment setup, analysis assistance, and the guardrails that keep outputs on-brand.
• Work on experimentation logic itself: traffic allocation, statistical confidence, winner detection, and safe rollout.
• Partner with design and product on what to build next, based on how customers actually use the platform.
• Improve performance, observability, and uptime for workloads where a broken test is a real customer problem.
• Own features end to end, from first sketch through implementation, iteration, and production.
  
  

What we're looking for

• Strong product engineering ability: you can understand the workflow, propose a good solution, and ship it.
• 3+ years building production web software, ideally customer-facing SaaS.
• Solid TypeScript/JavaScript and modern web application development.
• Comfort across frontend and backend so you can own features without waiting on handoffs.
• Experience integrating LLMs into real products: prompting, structured outputs, review loops, and failure handling.
• Clear written communication and a bias toward useful, shippable increments.
• Ability to work independently in a remote, async-friendly team.
  
  

You might be a fit if

• You've built experimentation, analytics, martech, or growth tooling before.
• You care about making complex workflows feel simple and well structured.
• You're opinionated about what good product engineering looks like in a small team.
• You want to see your work affect live customer experiments quickly, not after a six-month roadmap.
• You've shipped on Next.js, React, or similar modern stacks.
• You're interested in applied AI as product infrastructure, not demos.
  
  

The details

• Remote, open to candidates globally
• Full-time
• Flexible hours with reasonable overlap for collaboration
• Competitive compensation based on experience and location
  
  

Send your resume, links to work you have shipped, and a short note on a problem you solved that you are still proud of.