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About the Role

We are developing UNITE, a Strategy-to-Outcome Platform that creates a new market niche by enabling companies to design accurate strategies and achieve outcomes through a validated body of methodologies. The platform builds upon a bestselling framework with over 100,000 users, more than 200 executable frameworks, and a proprietary ontology, ensuring method-guided, deterministic, and auditable results.

We are seeking a Knowledge Architect who possesses profound expertise in methods, both academically grounded and practically demonstrated. This role involves constructing the core methodology, rendering it machine-executable, and collaborating directly with enterprise pilot customers. This senior position does not include executive leadership or line management responsibilities; impact is achieved through deep specialization.

Key Responsibilities

Expand and refine the method corpus, enhancing frameworks for AI execution and developing new ones focused on priority areas such as Data & AI, Change, and Organizational Design. Integrate these into the UNITE ontology with clear, unambiguous definitions and explicit interrelations.
Manage the methodological standards of the Results Engine by evaluating AI-generated outputs to ensure they are mutually exclusive, collectively exhaustive (MECE), clearly defined, and ontologically coherent.
Provide hands-on support during enterprise pilot projects starting October by understanding client requirements, methodically translating them, and ensuring the quality of outputs at the intersection of academic theory and practical application.
Following validated pilots in 2027, potentially develop an enablement or academy function while maintaining responsibility for the methodological core.

Requirements

Extensive methodological expertise across multiple domains including strategy consulting, enterprise architecture, and transformation delivery, emphasizing breadth rather than narrow specialization.
Strong research background with a PhD considered highly advantageous.
Proven ability to bridge academic research and practical implementation, having worked both scientifically and on real-world projects involving customers.
Expertise in decomposing complex problems into MECE components, translating them into machine-readable formats, and crafting precise definitions for use by both humans and machines.
Knowledge in computational linguistics is highly valued, particularly regarding ontology design, term disambiguation, and structured knowledge representation.
Experience with AI-assisted workflows is essential; excellent English communication skills are required.
Must be based in Europe to facilitate occasional in-person meetings despite the remote-first working model.

Compensation and Employment Details

This position offers a substantial equity stake with milestone-based vesting. The cash component is below typical corporate levels; candidates seeking a standard corporate salary package should not apply.

Recruitment Process

The selection procedure includes an initial screening interview, followed by a practical task using real material lasting one week, reference checks, and a final offer. The hiring process is conducted swiftly.

Knowledge Architect