DeFi Program Manager

Re7 Capital
London
4 weeks ago
Applications closed

About us

Re7 Capital is a London based crypto-asset investment firm where we utilise our deep crypto network, knowledge of the crypto market and proprietary data infrastructure to drive investment decisions for a number of fund strategies and DeFi projects. The Re7 team is dynamic with a strong background in investment management, data science and crypto.

Our DeFi Labs team who are one of the most respected curators of lending and borrowing vaults, and due to the fast growing nature of the business we need a Program Manager to provide support across the team.

This role is central to ensuring that Re7 Labs and the broader team are delivering strategic and external facing initiatives such as launching new vaults, new platforms, and running key internal initiatives such as developing new products and ensuring the team can scale in a structured and controlled manner.

The successful candidate will have the opportunity to work directly with cutting edge innovative teams across the globe and play a critical role in supporting Re7 Labs, Re7 Capital and our clients to achieve our collective goals.

If you are insanely passionate about crypto, enjoy working at the heart of one of the fastest moving industries and want to be on the cutting edge of on-chain lending, borrowing and liquid staking - then this opportunity is for you.

Responsibilities

  • Program Strategy & Execution– define, structure, and manage the timely execution of key programs related to the launch of new platforms, products, automations etc
  • Project Management– ensure smooth implementation of new vault strategies, DeFi integrations, and governance upgrades.
  • Program and Project Prioritisation- own and manage the prioritisation process for new initiatives.
  • Cross-Team Coordination– collaborate with internal and external developers, portfolio managers, DeFi analysts, and sales team to drive & deliver new and ongoing initiatives.
  • Enabling Progress at Speed– work closely with the team to ensure progress across all workstreams continues at pace
  • Process Optimisation– Continuously improve workflows for vault creation & deployment, yield optimisation & team productivity.
  • Market & Ecosystem Engagement– stay in tune on DeFi trends, innovations, and regulatory developments to ensure our capabilities remain cutting-edge.

Requirements

  • 5+ years experience in traditional finance or DeFi
  • Proven ability to manage complex programs across multiple stakeholders.
  • Extensive program & project management experience
  • Knowledge and enthusiasm for L1/L2 chains, protocols, liquidity pools, automated market makers (AMMs), and yield strategies
  • A strong understanding of risk management principles
  • Excellent analytical, communication, and leadership skills.
  • Entrepreneurial & commercial mindset
  • Dynamic and able to consistently move at a fast pace
  • Excellent organisational, time management and planning skills
  • Strong communication skills
  • University graduate
  • Ability to clearly and concisely communicate complex concepts and ideas

Benefits

  • Competitive package.
  • Opportunity to work with and learn from one of the brightest teams and fastest growing firms in a rapidly evolving and exciting industry.
  • Remote work environment.
  • Collaborative and fast-paced startup culture with significant impact potential.

Application process

  • CV
  • A cover letter
  • Answer the following:
    • Provide an example of a complex program you managed that involved risk management. How did you ensure alignment across stakeholders, manage timelines, and handle unexpected challenges?”

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.