Macroscope aims to be the source of truth of what's happening for any company that builds software. Our mission is to give leaders clarity and engineers time.
We help leaders understand how their products and codebases are evolving—what’s changing, who’s working on what, and where progress is happening—grounded in the ultimate source of truth: the code.
Macroscope is founded by former entrepreneurs who have started and sold multiple companies, and operated as product/engineering executives at public tech companies. We're fortunate to be supported by the best VC firms and angels in the business, including Lightspeed Venture Partners, Thrive Capital, Google Ventures, and Adverb.
We’re looking for a Language Tools Engineer to join our team and help build the next generation of Macroscope’s AST Walkers and Code Review product. This role is focused on improving the precision, quality, and depth of LLM responses by leveraging abstract syntax trees (ASTs), compiler internals, and deep knowledge of language semantics to provide relevant context to our AI prompts. This is critical to all aspects of our product, including code summarization and automated code reviews.
You’ll work on designing and refining our custom-built language tooling, building analyzers and AST parsers that enable more accurate insights, and ensuring our system keeps pace with evolving language standards. As part of our small engineering team, you will work very closely with our cofounders to help define the direction and possibilities of our product, and deliver real value to all the engineers of our customers who rely on code review every day.
Our technology stack: Typescript/React (front-end), Golang (backend), Temporal, Google Cloud (GCP), Postgres, Terraform, custom-built AST "code walkers" in various languages (Golang, Typescript, Swift, Python, Rust)
Deep expertise in at least one of Python, Go, TypeScript, Java, Kotlin, Swift or Rust; strong working knowledge of multiple is preferred.
Significant experience working with ASTs, compilers, parsers, and language runtimes.
Familiarity with program analysis, static/dynamic code analysis, and language tooling.
Strong ability to design and extend systems that analyze source code at scale.
Strong software engineering skills in writing robust, maintainable systems.
Experience contributing to or maintaining open-source compiler or language tools is a plus.
Background in building or integrating AI/ML systems (LLMs, RAG) is a plus.
You use various AI-tools to accelerate you as an engineer, and you are curious about staying up to date with the latest and greatest.
Experience with Golang (our core backend language) is helpful, but not required.
Startup mindset: comfortable working with high ownership, minimal process, and evolving product priorities.
You are extremely high agency. We are a small startup and we intend to keep an extremely flat organizational structure for as long as possible. Instead of relying on people managers, product managers and heavy processes, we rely on exceptionally talented individuals with high agency to be self-motivated towards contributing to our mission.
You want to work at an early stage start-up. The default state of any startup is failure. The only way to overcome the daunting odds of making a startup venture successful is for a densely packed group of insanely hard working and talented people to work together to building something useful to and loved by customers. If you're not willing to work extremely hard on something high risk, this startup isn't for you.
You act like an owner. You put immense care and craft into what you build because you take responsibility for all parts of the product. You don't walk past broken windows.
You care about what we're building. Life's too short to work on something you're not passionate about. We are a small group of ambitious people who want to build something insanely great that we want to use, and that we think every company will want to use. If our mission and product doesn't resonate with you, we understand and would encourage you to find something that does.
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