Product Software Engineering - Quantitative Modeling
PlantingSpaceRemote
Posted December 17, 2025
Full Time
About the Company
PlantingSpace is a deep‑tech startup that develops a data‑centric platform for accurately modeling knowledge and uncertainty, empowering organizations to uncover insights and solve problems transparently. The company’s core focus spans software engineering, research, operations, and business development, with a growing, remote‑first team that values outcomes over rigid schedules. By automating routine tasks, PlantingSpace frees its engineers and researchers to tackle complex, creative challenges. The organization also promotes a culture of co‑ownership, offering employees equity stakes and regular in‑person gatherings to foster collaboration and shared purpose.
Job Description
We are building an AI system for analysts and scientists, based on a fundamentally new approach to reasoning and knowledge representation. We go beyond state-of-the-art LLMs by combining algorithms symbolically, to provide novel capabilities like performing multi-step analysis, displaying a verifiable reasoning path, and assessing uncertainty.
Requirements
- Experience in turning research software into product
- Applied mathematical modeling in finance and/or scientific applications
- Experience in a collaborative, commercial software engineering environment, working on large codebases and using practices like CI/CD, testing, and code reviews
- Strong foundation in computer science algorithms and data structures
- Julia, or usage of some more functional or typed languages, e.g. Rust, OCaml, Clojure, C++, or Haskell
- Profiling and performance optimisation
- Mathematics, Computer Science, or Statistics advanced degree