Offer summary

Qualifications:

5+ years hands-on experience in Finance, People or Product operations, Advanced degree in a quantitative domain such as Engineering, CS or Finance, Experience in tech companies or top-tier strategy consulting, Strong problem-solving and analytical skills.

Key responsabilities:

Take ownership of projects across People, Finance or Product operations

Build and optimise internal tools and systems for growth

Drive operational excellence through metrics tracking

Manage relationships with external vendors and partners

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 in symbolic ways, to provide novel capabilities like performing multi-step analysis, displaying a verifiable reasoning path, and assessing uncertainty. We envision applications in analysis and research in domains such as Finance, Strategy Consulting, Engineering, Material Sciences, and more.

We’re looking for an analytical, experienced, and ambitious startup Operator with hands-on expertise across People, Finance, and Product Operations.

The ideal candidate is a builder at heart, intellectually curious, and keen to shape the future of AI together with us. You move easily between strategy and execution, you are a problem-solver, and love to architect systems and processes that enable organisational growth. We're looking for someone who is energised by turning challenges into elegant solutions, and sees opportunities for automation where others settle for manual work. If this describes you, then PlantingSpace might be your perfect professional home.

PlantingSpace is an ambitious tech startup with a talented team, and the potential for large-scale impact. In this critical role you’ll have the opportunity to join the company at an early stage, and grow along with us.

Required experience

5+ years hands-on experience in Finance, People, or Product operations, ideally at tech companies

Intellectually curious, strong leadership drive, top-down communication, data-driven, analytical

Success in work environments with high professional standards, such as top-tier strategy consulting

Track record of building and optimising tools, systems and workflows

Strong problem-solving skills, with the ability to break down complex challenges into actionable steps

Advanced degree in a quantitative domain such as Engineering, CS, or Finance

Responsibilities

Take ownership of projects and support the current team across People, Finance, or Product operations

Build and optimise internal tools and systems to support company growth

Drive operational excellence through metrics tracking and continuous process improvement

Proactively identify and resolve operational bottlenecks before they impact productivity