
Expert Opportunity - In-House M&A Manager ($100/hr, up to $2,000/week)
Job Description
Posted on: July 18, 2026
About This Opportunity We're working with a leading foundational AI lab to find experienced in-house M&A deal managers who can help train their latest language model on professional presentation and slide deck tasks. We're looking for in-house M&A managers with 4+ years running acquisitions, divestitures, or partnerships in-house to create, evaluate, and refine AI-generated presentations and slide decks across core workflows: board approval decks, target screening presentations, synergy analysis exhibits, deal update memos, integration planning decks, and pipeline review materials. Compensation: $100/hour Commitment: Flexible, 5-20 hours per week (or more if desired) Location: Fully remote, work on your own schedule Start date: ASAP Qualifications
- 4+ years in corporate development or in-house M&A at a significant company
- Experience producing board and executive committee materials for live transactions
- Expert-level PowerPoint and slide craftsmanship, with excellent written communication and attention to detail
About Ethos Ethos is a new expert network built by a McKinsey/SoftBank/DeepMind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities. Key Requirements
- 4+ years in corporate development or in-house M&A at a significant company
- Experience producing board and executive committee materials for live transactions
- Expert-level PowerPoint and slide craftsmanship, with excellent written communication and attention to detail
Apply now
Please let the company know that you found this position on our job board. This is a great way to support us, so we can keep posting cool jobs every day!
USARemoteJobs.app
Get USARemoteJobs.app on your phone!

Expert Opportunity - In-House M&A Manager ($100/hr, up to $2,000/week)

Counsel II, Vendor

Senior Managing Biomechanist (Accident Reconstruction)

Senior Fullstack Engineer

