Important

This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.

Eligible firms

McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C;), EY-Parthenon, Kearney, and Strategy& (PwC).

Who We're Looking For

Consultants with 3+ years of experience at one of the above firms, with hands-on project experience in:
- Structuring ambiguous client problems into workable analytical plans
- Building financial models, market analyses, or synthesized findings from messy inputs
- Producing client-ready deliverables under time pressure
- Forming and defending recommendations under uncertainty

No deep technical background is required – we will onboard you on the lightweight tools involved.

What You'll Do
- Build realistic consulting project environments – create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.




- Design structured consulting tasks for AI agents – break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.
- Define evaluation criteria and quality standards – develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.

This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.

Skills & Requirements
- 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&
- Strong structured problem-solving and hypothesis-driven thinking
- Ability to translate vague problems into clear analytical steps and deliverables
- High attention to logical consistency and output quality
- Independent, self-dir

📌 Senior Consultant (Valencia)
🏢 Mindrift
📍 Valencia