About Cleo

At Cleo, we’re not just building another fintech app. We’re embarking on a mission to fundamentally change humanity’s relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That’s the future we’re creating.

Cleo is a rare success story: a profitable, fast-growing unicorn with over $200 million in ARR and growing over 2x year-over-year. This isn’t just a job; it’s a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact.

If you’re driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo’s success as we scale, while growing alongside a company that’s scaling fast, this might be your perfect fit.

Follow us on LinkedIn to keep up to date with new product features and insights from the team.

Cleo is radically different from the norm, and we’re looking for an Engineering Manager to guide and develop engineers across our Chat and Machine Learning-focused squads. This role is a unique opportunity to oversee the technical delivery of exceptional products, with a focus on integrating cutting-edge ML solutions and improving the conversational AI capabilities that our customers love. You’ll also be responsible for the well-being and growth of your team members.

Your teams will operate at the intersection of engineering, machine learning, and conversational UX, collaborating with product, data, and design to deliver high-quality, impactful experiences. You don’t need to be an ML expert, but an understanding of how engineering and machine learning work together is key.

What you’ll be doing:

• People management: You’ll manage and grow multiple squads, including technical leads, engineers (from junior to senior), and other team members, ensuring they have the support and development opportunities they need to thrive.

• Technical leadership: Collaborate on technical roadmaps, review designs, and participate in architectural discussions to ensure scalability, maintainability, and excellence in delivery.

• Delivery ownership: Work closely with product and data counterparts to define and deliver squad goals. You’ll ensure we’re delivering value to our users in a timely and effective manner.

• Team development: Develop current squad-focused leads into more senior positions, ensuring we have a strong leadership pipeline to support our growth.

• Hiring and growth: Lead headcount planning, recruiting, and onboarding to ensure we have the right mix of skills and experience.

• Optimisation: Identify and implement improvements in processes, tools, and ways of working across your squads.

Want to hear directly from the team? Check out this blog post from a few of our engineering managers.

We’re looking for an Engineering Manager who combines exceptional people leadership with a strong understanding of delivering in a technical environment, especially where machine learning and conversational AI play a role. Ideally, you’ll bring experience working with a stack like ours (Ruby preferred), a bias toward action, and a focus on outcomes.

Here’s what we’re looking for:

• People-first leadership: You build environments that support engineers in doing their best work. You’re passionate about coaching and mentoring, and you’re skilled at helping others grow.

• Technical competence: You’ve been a hands-on developer in the past, and while you’re no longer writing production code, you’re comfortable engaging in architectural discussions and reviewing technical proposals.

• Bias to action: You thrive in a fast-paced environment, prioritising impact over perfection and continuously seeking ways to improve delivery.

• Understanding of ML and Chat technologies: While you don’t need to be a machine learning expert, you have enough knowledge to collaborate effectively with ML specialists and understand the challenges and opportunities in this space. Experience with chat technologies or conversational AI is highly desirable.

• Adaptability: You’re comfortable with change and can guide your teams through evolving priorities and challenges.

• Great communication: You can clearly articulate goals, challenges, and solutions to both technical and non-technical audiences.

• Commitment to diversity: You value diverse perspectives and actively work to create an inclusive, supportive team environment.