The Monq Fellowship Programme

Exclusive 3 Months Paid Fellowships for Princeton, Oxford, Harvard, Bilkent, Sabanci, Koc and METU Affiliates

Building the Future of AI-Powered Enterprise Negotiations

We are launching an exclusive fellowship programme for exceptional students and recent graduates from

• Princeton University,

• University of Oxford,

• Harvard University,

• Bilkent University,

• Koc University,

• Middle East Technical University.

As co-founders who are proudly affiliated with these institutions, we're thrilled to create opportunities for the next generation of brilliant minds from these exceptional institutions to join us in revolutionising the $4.2 trillion strategic procurement market with cutting-edge AI technology.

A Personal Message from Our Co-Founders

"Having walked the halls of these exceptional institutions ourselves, we know firsthand the intellectual rigour, ambition, and innovative thinking they cultivate. It's both a privilege and a pleasure to offer this fellowship programme to students from our alma maters.

Our own journey began at Oxford, where we met as graduate students and started working on what would become Monq. We know the unique combination of academic excellence and entrepreneurial spirit these universities foster—the kind of environment that breeds bold thinking and ambitious execution.

We're looking for the next generation of leaders who will help us transform how the world's largest enterprises negotiate their most critical deals. If you're someone who thinks differently, challenges conventional wisdom, and isn't afraid to tackle impossible problems—the kind of crazy-minded innovator we recognise in ourselves—we want to hear from you."

- Duygu and Yasin, Co-Founders

Program Overview

The Monq Fellowship Programme offers unparalleled exposure to building category-defining AI technology for Fortune 500 enterprises. You'll work directly with our founding team—backed by Revolut and HSBC executives—to create autonomous negotiation agents that handle multi-million-pound enterprise contracts.

Programme Duration: 3 months (flexible based on academic calendar and candidate preference)

Programme Type: Full-time paid fellowship with potential for permanent placement

Location: Remote-first with quarterly in-person gatherings

Available Tracks

1. AI Research & Engineering Track

Perfect for: Computer Science, Mathematics, Engineering students with ML/AI focus

What You'll Build:

• Contribute to autonomous negotiation agent development using state-of-the-art LLMs

• Develop multi-dimensional optimisation algorithms for contract terms, pricing, and risk assessment

• Build evaluation frameworks for AI agent performance in high-stakes enterprise negotiations

• Research and implement novel approaches to multi-agent coordination and strategic reasoning

Key Projects:

• Design negotiation strategy generation algorithms

• Build contract intelligence parsing systems for complex legal documents

• Develop real-time negotiation performance analytics and benchmarking tools

• Create safety and reliability frameworks for autonomous enterprise negotiations

2. Enterprise Data & Infrastructure Track

Perfect for: Computer Science, Data Science, Operations Research students

What You'll Build:

• Design and implement scalable data pipelines processing terabytes of procurement and contract data

• Build enterprise-grade integration systems with major ERP platforms (SAP, Oracle, Coupa)

• Develop real-time analytics infrastructure supporting autonomous negotiation decisions

• Create comprehensive data governance and security frameworks for sensitive enterprise information

Key Projects:

• Build contract data parsing and normalisation systems

• Design vendor intelligence and market benchmarking pipelines

• Implement enterprise security and compliance monitoring systems

• Create data visualisation dashboards for C-level procurement executives

3. Product & Business Strategy Track

Perfect for: Economics, Business, MBA students with technical aptitude

What You'll Build:

• Conduct deep market research and competitive analysis in the strategic procurement space

• Design go-to-market strategies for Fortune 500 enterprise adoption

• Build business intelligence tools and ROI calculators for enterprise customers

• Develop product strategy for expanding into new procurement verticals

Key Projects:

• Create comprehensive market analysis and customer segmentation models

• Design pricing and packaging strategies for enterprise software

• Build customer success frameworks and adoption metrics

• Develop partnership strategies with procurement consultants and systems integrators

4. Applied Research & Innovation Track

Perfect for: PhD students, advanced undergraduates in AI/ML, Economics, or related fields

What You'll Research:

• Game theory applications to multi-party enterprise negotiations

• Mechanism design for autonomous procurement auctions and bidding

• Economic modelling of AI impact on strategic procurement markets

• Novel approaches to explainable AI in high-stakes business decisions

Key Projects:

• Publish research on AI-powered negotiation theory and applications

• Develop novel algorithms for multi-objective optimisation in procurement

• Create frameworks for measuring and ensuring AI fairness in business negotiations

• Design experimental approaches to validate negotiation strategies

Program Benefits

Compensation & Equity

• Highly Competitive Stipend: Location based and to be paid per month based on experience and track

• Equity Participation: All interns receive equity in Monq, giving you a stake in the $4.2T market opportunity

• Performance Bonuses: Additional compensation tied to project deliverables and impact

Learning & Development

• Direct Founder Mentorship: Weekly 1-on-1s with co-founders who are Revolut and HSBC veterans and alumni of your institutions—we understand the calibre of talent these universities produce and are personally invested in your success

• Industry Expert Access: Regular sessions with procurement executives from Fortune 500 companies

• Technical Mentorship: Pair programming and research guidance from senior AI engineers

• Conference & Publication Support: Funding for relevant conferences and support for academic publications

Career Acceleration

• Permanent Placement Track: Outstanding fellows receive full-time offers with accelerated progression

• Elite Network Access: Connect with our network of enterprise executives, AI researchers, and venture partners

• Reference & Recommendation Letters: Strong references from recognised industry leaders

• Portfolio Development: Build a portfolio of real-world AI projects with measurable business impact

Unique Experiences

• Enterprise Customer Exposure: Present directly to Fortune 500 procurement teams and C-level executives

• Product Launch Participation: Be part of launches that could transform how businesses negotiate

• Cross-Functional Collaboration: Work across AI, product, business strategy, and customer success

• Global Impact: Contribute to technology that could influence billions in enterprise procurement

Eligibility Requirements

Academic Standing

• Current undergraduate (senior year), master's, or PhD student at Princeton, Oxford, Harvard, Bilkent, Sabanci, Koc or METU.

• Recent graduates (within 2 years) from these institutions

• Minimum GPA: 3.7/4.0 (or equivalent: First Class Honours at Oxford)

• Strong academic performance in relevant coursework

Technical Requirements (varies by track)

AI Research & Engineering:

• Advanced coursework in machine learning, artificial intelligence, or computer science

• Programming proficiency in Python, with experience in ML frameworks (PyTorch, TensorFlow)

• Understanding of transformer architectures and large language models

• Experience with distributed systems or enterprise software development (preferred)

Enterprise Data & Infrastructure:

• Strong programming skills in Python and SQL

• Experience with cloud platforms (AWS, GCP, Azure) and containerisation

• Knowledge of data pipeline tools (Apache Spark, Kafka, Airflow)

• Understanding of database systems and data modelling

Product & Business Strategy:

• Strong analytical and quantitative skills

• Experience with business analysis, consulting, or product management

• Understanding of enterprise software markets and B2B sales cycles

• Excellent communication and presentation skills

Applied Research & Innovation:

• Graduate-level coursework in relevant fields (AI, Economics, Operations Research)

• Research experience with publications or significant projects

• Strong mathematical background and analytical thinking

• Experience with experimental design and statistical analysis

Professional Qualities

• Exceptional problem-solving abilities and intellectual curiosity

• Strong communication skills and ability to work with business stakeholders

• Entrepreneurial mindset and comfort with ambiguity

• Passion for applying AI to solve real-world business problems

Application Process

Application Timeline

• Autumn 2025 Intake: Applications open Aug 15, 2025 - Decisions by September 15, 2025

• Spring 2026 Intake: Applications open November 1, 2025 - Decisions by December 15, 2025

• Summer 2026 Intake: Applications open January 15, 2025 - Decisions by February 15, 2025

Application Requirements

1. Complete Application Form including academic transcripts and CV

2. Personal Statement (500 words): Why you're interested in AI-powered enterprise negotiations and your career goals

3. Technical Project Portfolio demonstrating relevant skills for your chosen track

4. Two Academic References from professors or research supervisors, or line managers (if applicable)

5. Optional: Research Paper or Significant Project showcasing exceptional capability

Selection Process

Stage 1: Application Review (1 week)

• Academic achievement assessment

• Technical portfolio evaluation

• Personal statement review

Stage 2: Technical Assessment (1 week)

• Track-specific technical challenge (AI coding challenge, data analysis project, business case study, or research proposal)

• Complete at your own pace within the week

Stage 3: Interview Round (2 weeks)

• Technical Interview (60 minutes): Deep dive into your technical capabilities and problem-solving approach

• Founder Interview/Bar raiser (45 minutes): Personal discussion with co-founders who share your academic background about vision, goals, and cultural fit—we're excited to connect with talent from our own alma maters

• Project Presentation (30 minutes): Present your technical assessment solution

Stage 4: Final Decision (1 week)

• Reference checks and final evaluation

• Offer letters with detailed project assignments and mentorship matching

Frequently Asked Questions

Q: Can international students apply? A: Yes, we welcome international students from all listed universities. We provide visa sponsorship support for exceptional candidates.

Q: Is this programme only for computer science students? A: No, we welcome students from diverse academic backgrounds including Economics, Mathematics, Engineering, Business, and related fields. We match students to tracks based on their interests and capabilities.

Q: What if I want to continue my academic studies? A: We're flexible with timing and can accommodate academic schedules - as long as you deliver the results expected from you.

Q: Do you offer remote fellowships? A: Yes, the programme is remote-first, though we encourage participation in quarterly in-person gatherings and customer meetings when possible.

Q: What's the conversion rate to full-time positions? A: We're highly selective in our fellowship programme specifically to build a pipeline for permanent hires.

About Monq

Monq is building the first AI platform specifically designed for strategic procurement negotiation. We're creating a blue ocean in a $4.2 trillion market that has been ignored by existing AI solutions. Our team brings together deep technical expertise in AI with proven experience in enterprise software and procurement.

We're backed by forward-thinking investors who understand the massive opportunity in applying advanced AI to high-value B2B negotiations. With several major enterprises joining us, we're positioned to become the category-defining platform for AI-powered procurement. We are founded and backed by Revolut and HSBC executives.

Why This Matters: Every 1% improvement in strategic procurement represents a $42 billion market impact. We're not just building software - we're creating the future of how businesses negotiate their most critical deals.

Equal Opportunities Statement

Monq is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010.

We actively encourage applications from candidates of all backgrounds and believe diverse perspectives strengthen our ability to build AI that serves enterprise customers effectively. Our employment decisions are based solely on individual qualifications, merit, and business needs.

Accommodations for Applicants with Disabilities

Monq is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly at recruitment@monq.io.