PlantingSpace is a deep-tech startup that designs a system for accurately representing knowledge and uncertainty, enabling transparent problem solving and insight discovery. The company focuses on software development, research, operations, and business development, building a remote, outcome-driven team that values automation and creative problem solving. PlantingSpace offers flexible work arrangements, encourages co-ownership with shareholder opportunities, and fosters a collaborative culture through regular in-person gatherings. Candidates can explore roles on their job page and learn more about the company’s values on its website.
Open Positions
Senior Product Manager
Experience in product management, fast learner of technical concepts, strong communicator, hands-on builder, proximity to target users
Program Synthesis Engineering
Designing and implementing complex algorithms, experience in commercial software engineering, implementation of program synthesis frameworks, strong foundation in computer science, and mathematics advanced degree
General Opening
No education level or years of experience specified
Bayesian Software Engineering
Production backend software engineering, Design and implementation of probabilistic programming language features, Implementation of Bayesian inference methods
Technical Project Manager
5-10 years of experience in software engineering, technical product management, and team leadership
Product Software Engineering - Quantitative Modeling
Experience in research software commercialization, applied mathematical modeling, and collaborative software engineering
Finance Manager - Corporate & Accounting
2-4 years of experience in high-performance environments, strong foundation in accounting, and experience with full-cycle accounting
People Operations Specialist
4+ years in Operations or Project Management roles; experience in a high-performance, fast-paced environment; proven track record managing complex logistics (international travel, events); experience documenting and building processes from scratch
Domain Expert Partnerships
Deep domain expertise, technical understanding of statistical modeling, industry connections