At a Glance
- Tasks: Build innovative AI products from real client challenges in finance.
- Company: Join Auquan, a pioneering company in agentic AI for institutional workflows.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Dynamic startup culture with a focus on innovation and collaboration.
- Why this job: Make a tangible impact by transforming financial workflows with cutting-edge AI technology.
- Qualifications: 6-10 years of B2B product experience, preferably in fintech and applied AI.
The predicted salary is between 80000 - 100000 £ per year.
About the company
Auquan builds autonomous AI agents that eliminate repetitive work across institutional finance. Our agents power workflows across credit, investment, ESG, and compliance for firms like MetLife, T. Rowe Price, BC Partners, and ERM. We’re a Series A company defining a new category: agentic AI for institutional workflows. Today, 40% of the world’s top 50 financial institutions use Auquan. Our constraint is no longer demand — it’s how quickly we can discover, build, and scale new products from real client workflows.
The Role
We’re hiring Senior Outcome Engineers to build new products directly from real client problems. This is not a traditional solutions or implementation role.
You will:
- Work directly with senior stakeholders at top financial institutions
- Identify high-value, unsolved workflows
- Rapidly turn those into MVP AI-powered products
- Drive those products to real usage and measurable outcomes
- Partner with Sales to map renewal, upsell and expansion opportunities
You are a 0→1 product builder embedded in the customer environment, responsible for turning ambiguous workflows into real, deployed AI products.
Requirements
Must-haves
- 6-10+ years of B2B enterprise product experience, fintech and applied AI preferred
- Proven track record of building products from 0→1: discovery → MVP → iteration → real usage
- Strong client presence with the ability to guide and influence senior stakeholder conversations
- Hands-on GenAI fluency (LLMs, workflows, rapid prototyping)
- Builder mindset: ships V1s in days, thrives in ambiguity, bias to action
- Ability to navigate multi-stakeholder client environments
Nice-to-haves
- Experience in financial services workflows (credit, investing, research, monitoring)
- Background in IB, private credit, PE, asset management, or consulting
- Familiarity with financial data ecosystems (Bloomberg, FactSet, etc.)
- Experience with LLM tooling (OpenAI, Claude, LangChain, etc.)
You may be a fit if you’ve held roles like
- Founding Product Manager or early product hire
- AI Product Manager or AI Product Consultant
- Forward Deployed Engineer / Forward Deployed Product
- Solutions Engineer / Solutions Architect (with product ownership)
- Technical Consultant who built products, not just delivered projects
- Startup Founder or early operator (product-focused)
- Financial analyst / investor who transitioned into building tools or automation
Senior Outcome Engineer in London employer: the company
Auquan is an exceptional employer for those seeking to make a significant impact in the fintech space. With a dynamic work culture that fosters innovation and collaboration, employees are empowered to build cutting-edge AI products that address real client challenges. The company offers ample opportunities for professional growth, working alongside top financial institutions, and being part of a pioneering team that is shaping the future of institutional workflows.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Outcome Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the lookout for opportunities. A personal recommendation can go a long way, especially in a niche field like ours.
✨Tip Number 2
Get involved in relevant communities! Join forums, attend meetups, or participate in webinars related to AI and finance. Engaging with others in the industry can help you learn about unadvertised roles and make valuable connections.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your experience in building products from 0→1. Use case studies to demonstrate how you've tackled real client problems and delivered measurable outcomes.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in Auquan. Tailor your application to reflect your understanding of our mission and how you can contribute to building innovative AI solutions.
We think you need these skills to ace Senior Outcome Engineer in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and fintech shine through. We want to see how you connect with our mission of building autonomous AI agents that tackle real-world problems in finance.
Highlight Your Product Building Experience:Make sure to emphasise your experience in taking products from 0 to 1. Share specific examples of how you've identified client needs and turned them into successful MVPs. This is key for us!
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences that align with the Senior Outcome Engineer role. We love seeing candidates who take the time to understand what we do.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at the company
✨Know Your Product Building Process
Make sure you can clearly articulate your experience in building products from 0 to 1. Be ready to discuss specific examples where you've identified client problems and turned them into MVPs. This will show that you understand the role's requirements and can deliver results.
✨Engage with Stakeholders
Since this role involves working directly with senior stakeholders, practice how you'll approach these conversations. Think about how you can influence and guide discussions, and prepare some questions that demonstrate your understanding of their needs and workflows.
✨Showcase Your GenAI Fluency
Brush up on your knowledge of generative AI tools and how they can be applied in financial services. Be prepared to discuss your hands-on experience with LLMs and rapid prototyping, as this will be crucial for the role.
✨Embrace Ambiguity
This position thrives in ambiguity, so come equipped with examples of how you've navigated uncertain situations in the past. Highlight your builder mindset and your ability to take action quickly, which is essential for driving products to real usage.
