At a Glance
- Tasks: Lead the development of AI-driven finance products and create realistic training environments.
- Company: Join a cutting-edge tech company transforming the finance industry with AI.
- Benefits: Comprehensive health coverage, flexible schedules, and personal growth opportunities.
- Other info: Collaborative culture with community events and support for work-life balance.
- Why this job: Shape the future of finance with AI and make a real impact.
- Qualifications: 3-6 years in finance, strong AI understanding, and entrepreneurial mindset.
We’re looking for an AI Product Manager to own the Finance vertical within our Agents Data & Reinforcement Learning Environments team. In this role, you’ll own both the development of RL environments (the realistic, high-fidelity simulations of financial software and workflows that labs use to train and evaluate agents) and the “data as a product” strategy that powers them.
You’ll understand where AI is being used in the Finance industry, decide what financial tasks are worth modeling, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. You’ll translate that expertise into environments and datasets that teach AI agents to perform real financial work, and you’ll be the domain expert Scale’s most important customers and their leading researchers turn to.
Own the Finance AI roadmap & data strategy: Set product direction for the Finance agents training stack and the data strategy behind it. Establish a vision for where AI is continuing to transform the Finance industry, driving execution across engineering, operations, and go-to-market teams.
Build partnerships with research teams at frontier labs: Work directly with researchers at leading AI labs to understand where their Finance agentic capabilities fall short and shape new product lines and competitive strategy for the vertical. Connect with AI startups and industry leaders to launch joint benchmarks and build Scale’s brand in Finance.
Design and scale Finance-specific environments: Scope and build simulations of real Finance workflows and environments that let labs train and evaluate agents against real world scenarios. Partner with ML and Operations to translate the judgement, edge cases, and workflows you know from the industry into high quality training products.
Collaborate cross-functionally: Influence business priorities and dive into the weeds of research, operations, and customer interactions to deliver mission-critical outcomes.
Benefits:
- Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge.
- Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
- Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
- Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.
The ideal candidate has lived inside the Finance industry, and is able to pair that domain understanding with a sense for AI research and current agent capabilities in Finance workflows. A strong entrepreneurial & go-to-market mindset will be necessary.
Bias for action: Comfort wearing multiple hats and operating in fast-moving environments.
ML Intuition & Technical Fluency: Enough intuition around how model training and evaluation works and what a Reinforcement Learning environment looks like. A software background is a plus.
Experience: 3–6 years of direct experience in the Finance industry in one or more of: investment banking, private equity, trading, asset or portfolio management, or a fintech product role, with real depth in how the work gets done.
A builder’s mindset: Excited by ambiguity and motivated to create new products from the ground up.
Product or customer-facing experience: A track record of owning outcomes, shaping roadmaps, or working closely with technical stakeholders (formal PM experience is a plus but not required if domain depth is strong).
AI-Forward Thinking: Quick to adopt AI solutions to streamline your day-to-day workflows and an ability to understand and articulate how it’s transforming your industry.
Senior AI Product Manager (Finance Agents) employer: Scale AI
At Scale, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among software and ML engineers. Our London-based team is dedicated to pushing the boundaries of AI technology while providing ample opportunities for professional growth and development, ensuring that every employee can contribute meaningfully to impactful projects. With a commitment to inclusivity and equal opportunity, we create an environment where everyone can thrive and bring their whole selves to work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Product Manager (Finance Agents)
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Scale AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Scale AI.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Scale AI.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Scale AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Product Manager (Finance Agents)
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Scale AI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Scale AI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Scale AI
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Scale AI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
