About Minicor

Managed, self healing desktop automation at scale

Tech description:

If you find it exciting to connect disparate systems together at scale, you'll love working at Minicor. We interact with critical software older than us regularly, and a big part of our job is being crafty about building solutions to read and write to them at scale with low latency. Core components of our tech: our workflow orchestrator, our MCP, and our windows desktop service. On top of these are many other systems which all work together to ensure we survive multiple gigabytes of data being transferred on our platform per week, and thousands of RPA runs per day. We have deployments on GCP, Azure, and AWS. Some other frameworks/tools we use (outside of Claude Code + Cursor etc...): PSQL, Redis, Azure VMs, Nest.js, Next.js, Spring Boot, Flask.

Job description:

We're looking for an engineer who loves building product and working closely with customers to get things live. If you find it exciting to connect disparate systems and turn messy real-world problems into product features, you'll love working at Minicor. **Why work at Minicor?** At Minicor, we're unblocking one of the last bottlenecks for AI to enter the enterprise. Most critical workflows still run on legacy Windows desktop systems with no APIs, where the only way to integrate is by interacting with the UI like a human would. We're building the infrastructure to make integrating with these systems reliable at scale, so AI can actually run inside them in production. **The role:** * Own product areas end-to-end, from understanding customer pain to shipping and iterating in production * Take customer requests and implementation pain, distill them into product features, and prioritize what gets built * Build product features that make it easier for forward-deployed engineers and customers to get integrations live and scaled * Work closely with customers early on to understand real-world constraints and turn them into product improvements * Identify repeated patterns in customer implementations and turn them into reusable abstractions * Improve the developer experience around defining, running, and debugging workflows * Help shape how we build, ship, and iterate on product as we scale **What we're looking for:** * 2-4+ years of experience building and shipping product features in production * Strong product judgment. You know when to build something general vs solve it once * You've turned messy, real-world problems into clean product abstractions * Experience working across the stack * You've shipped features that real users depend on * Comfortable working with customers, especially early in the lifecycle * You can prioritize well and make decisions with incomplete information **How we work:** * Ship small, high-impact features * Build closely with customers and forward-deployed engineers * Turn real-world problems into product quickly * No ego. High standards, high ownership * Work hard, move fast, have fun **Onboarding:** In your first few weeks, you'll work directly on customer integrations to understand how these systems behave in practice. By 30-60 days, you'll be contributing to getting customers live and seeing where things break at scale. By 90 days, you'll start shipping product features that come directly out of those learnings and make it faster for future customers to go live. If this sounds interesting, we'd love to meet with you!

Skills:

Amazon Web Services (AWS), Google Cloud, Java, JavaScript, Kotlin, Python, Next.js

Minicor remote jobs

Product Engineer

Forward Deployed Engineer