Our founders are ex-Lazard and Partners Group, and we're headquartered in London and San Francisco. Mentis AI brings real-world expertise from finance into AI model training. We bridge the gap between human and artificial intelligence. About this role: You will help improve AI reasoning across investment banking and capital markets by contributing your deal experience to a structured research project. The work involves evaluating, generating, and refining content that reflects how senior IB professionals think through transactions from origination and pitching through execution and close. What we're looking for: - 3–7 years of experience in investment banking or capital markets at a bulge bracket or elite boutique (e.g., Goldman Sachs, Morgan Stanley, J.P. Morgan, Bank of America, Citi, Barclays, UBS, Deutsche Bank, Wells Fargo, Evercore, Moelis, Centerview, Lazard, Jefferies) - Associate, VP, or Director level across M&A, industry coverage, ECM/DCM leverage finance, or syndicate - Deep expertise in at least one of: M&A deal structuring and valuation, equity or debt capital markets execution, sector-specific coverage, or syndicate/book-running - Strong financial modeling skills (incl. LBO, 3-statement, DCF) and comfort with complex transaction analysis, fairness opinions, and client-facing materials (incl. pitch decks, market updates) - Ability to articulate investment banking judgment clearly and precisely in writing Project Info (Requirements): - Minimum 15 hours commitment per week - Remote asynchronous contract - Join a research project with an elite AI lab. Help improve AI decision-making across M&A, capital markets origination, and transaction execution

About Us: Mentis AI works at the intersection of private markets expertise and frontier AI systems. Our team combines institutional finance experience (Lazard, Partners Group) with machine learning and applied AI research. Operating across London and San Francisco, we collaborate with leading AI labs to improve how models reason, generalize, and make decisions in high-stakes financial contexts. The Opportunity: AI is rapidly becoming embedded into core investment workflows, ranging from screening, diligence, underwriting, portfolio management, and exit analysis. This residency is designed for private equity and growth equity professionals who want early, practical exposure to how advanced AI systems are built, evaluated, and improved. You will: - Assess model outputs: Review AI-generated financial analyses and identify where the reasoning breaks down: for example bad assumptions, flawed logic, or conclusions that no experienced investor would reach. - Translate investment judgment into test cases: Turn the thinking that's hard to write down into structured problems that actually challenge the model. - Build real benchmarks: Create financial models, returns analyses and investment cases grounded in how private markets actually work. - Compare human and AI reasoning: Document where professional judgment and model outputs diverge, and why. Why This Experience Is Valuable - You will be among the first investment professionals to work directly on how frontier AI models reason about private markets. - A distinctive profile for anyone who wants to sit at the intersection of investing and AI, whether at a fund, an AI company, or building something themselves. - Hands-on exposure to how rapidly AI is reshaping deal workflows, from screening and diligence to portfolio monitoring and exit preparation. Who You Are - 3 to 7 years of experience in PE or Growth Equity at a renowned large-cap or upper-middle market fund in Europe or the US - Associate, VP, or Principal level; industry agnostic. - Strong modeling and valuation skills with experience across the full deal lifecycle. - Genuine intellectual curiosity about application of AI in finance Residency Structure - Commitment: 15+ hours/week, flexible scheduling - Location: remote globally, or in-person if in London - Compensation: Paid professional engagement - Start date: Immediate / Rolling

Our founders are ex-Lazard and Partners Group, and we're headquartered in London and San Francisco. Mentis AI brings real-world expertise from finance into AI model training. We bridge the gap between human and artificial intelligence. About this role: You will help improve AI reasoning across investment banking and capital markets by contributing your deal experience to a structured research project. The work involves evaluating, generating, and refining content that reflects how senior IB professionals think through transactions from origination and pitching through execution and close. What we're looking for: - 3–7 years of experience in investment banking or capital markets at a bulge bracket or elite boutique (e.g. Goldman Sachs, Morgan Stanley, J.P. Morgan, Bank of America, Citi, Barclays, UBS, Deutsche Bank, Wells Fargo, Evercore, Moelis, Centerview, Lazard, Jefferies) - Associate, VP, or Director level across M&A, industry coverage, ECM/DCM, leveraged finance, or syndicate - Deep expertise in at least one of: M&A deal structuring and valuation, equity or debt capital markets execution, sector-specific coverage, or syndicate/book-running - Strong financial modeling skills (including LBO, 3-statement, DCF) and comfort with complex transaction analysis, fairness opinions, and client-facing materials Residency Structure - Commitment: 15+ hours/week, flexible scheduling - Location: Remote globally, or in-person if based in London or San Francisco - Compensation: Paid professional engagement - Start date: Immediate / Rolling

If you're looking for the chance to learn, grow, and make a contribution to the community, look at employment opportunities with Full Sail University. You'll find your choice of career opportunities, great benefits, an environment that welcomes and values creativity, and a work experience that is both challenging and rewarding! We are seeking Adjunct faculty to help deliver courses in the Computer Science Bachelor's — Artificial Intelligence Concentration. The program curriculum focuses on the skills to design, develop, and implement AI solutions. Faculty should possess knowledge and experience in topics such as machine learning, deep learning, natural language processing, computer vision, and Human-AI interaction. Faculty in this program will develop and teach curriculum to educate students on the design, development, and implementation of software-based artificial intelligence solutions for the business, entertainment, and consumer markets. This position is part-time working no more than 20 hours per week, on-campus OR online, and must be a resident in the state of Florida. Essential Duties and Responsibilities: - Create an environment of learning through effective teaching skills, maintain student-centered focus, and stay current with relevant industry standards. - Utilize a variety of teaching strategies and encourage active learning. - Perform lectures for campus courses, and hold scheduled virtual course meetings for online courses. Teaching will be conducted through on-campus and online delivery. - Interact positively with diverse student populations; provide all students with equal opportunities for learning. - Demonstrate a commitment to the industry, maintain knowledge and skill relevancy through continuing education as defined in the faculty development plan. Other Responsibilities: - Adheres to the policies and procedures of Full Sail University - Maintains strict confidentiality of student and company information - Demonstrates a strong commitment to the mission and values of the organization - Adheres to company attendance standards - Performs other duties as assigned Supervisory Responsibilities: None Competencies: - Strong organizational, analytical, and interpersonal skills - Exceptional written and verbal communication skills, including proofreading and editing for grammar and punctuation - Detail oriented - Ability to multi-task while working independently and collaboratively with other teachers and university staff - Ability to interact professionally and constructively with students and staff at all levels in an immersive, fast-paced environment Education and/or Experience: The ideal candidate must have a minimum of four (4) years related and verifiable work experience and are required to hold a Master’s (preferred) or Bachelor’s degree in Computer Science, Software or Computer Engineering, or related discipline from an accredited college or university. Certificates, Licenses, Registrations: - N/A Skills: - Strong working knowledge of software-based development, problem solving, principles, and applications. - Experience as a software developer, software engineer, programmer, etc. - Experience implementing AI in software preferred - Strong working knowledge of object-oriented design, and data structures and algorithms preferred - Experience in Agile software development preferred - Experience developing for multiple platforms preferred - Teaching or mentoring experience preferred - Proficiency using software programs such as MS Word, Excel, Keynote/PowerPoint and Outlook - Proficiency with programming languages such as C++, C#, Java, or Python preferred - Familiarity with integrated development environments like Visual Studio or the Anaconda suite preferred Environmental Factors/Physical Demands: Work is performed in an office and classroom environment. While performing the duties of this job, the employee is regularly required to have the ability to maintain active student and employee communication; access, input and retrieve information from the computer system. May be subject to; bending, reaching, kneeling, stooping and lifting up to thirty (30) pounds. Full Sail is an Equal Opportunity Employer.