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 rapid product development and real-world applications.
- Why this job: Make a tangible impact by transforming financial workflows with cutting-edge AI technology.
- Qualifications: 4-8 years in B2B product roles, fintech experience preferred, and strong client engagement skills.
The predicted salary is between 70000 - 90000 £ 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 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
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
- 4-8+ 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
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
- 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
Outcome Engineer in London employer: the company
Auquan is an exceptional employer for Outcome Engineers, offering a dynamic work environment where innovation meets impact. With a strong focus on employee growth and a culture that encourages rapid product development, team members are empowered to tackle real client challenges in the fast-paced world of institutional finance. Located at the forefront of AI technology, Auquan provides unique opportunities to collaborate with top financial institutions, ensuring that your contributions lead to meaningful outcomes in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Outcome Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those at companies you admire. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a project that highlights your ability to build products from scratch. This is your chance to demonstrate your builder mindset and hands-on experience.
✨Tip Number 3
Prepare for interviews by understanding the company’s challenges. Research Auquan’s workflows and think about how you can turn those into AI-powered solutions. Be ready to discuss your ideas!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace 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 product building shine through. We want to see how you connect with our mission of creating agentic AI for institutional workflows. Share any relevant experiences that highlight your passion!
Tailor Your Experience:Make sure to customise your application to reflect the specific skills and experiences that align with the Outcome Engineer role. Highlight your B2B enterprise product experience and any hands-on work with GenAI. We love seeing how your background fits into what we do!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the role. Use bullet points if it helps to make your achievements stand out!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Auquan!
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, developed MVPs, and iterated based on feedback. This will show that you understand the role's requirements and can deliver results.
✨Showcase Your Client Engagement Skills
Since this role involves working closely with senior stakeholders, prepare to demonstrate your ability to influence and guide conversations. Think of instances where you've successfully navigated complex discussions or turned stakeholder feedback into actionable insights.
✨Familiarise Yourself with Financial Workflows
Brush up on your knowledge of financial services workflows, especially in areas like credit and investment. Being able to speak the language of finance will help you connect with the interviewers and show that you're serious about understanding their business.
✨Demonstrate Your GenAI Fluency
Be prepared to discuss your hands-on experience with generative AI tools and how you've used them in product development. Highlight any projects where you've rapidly prototyped solutions using LLMs or similar technologies, as this is a key aspect of the role.
