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Fin

Staff AI Product Manager

London
Posted about 15 hours ago
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Fin

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.

Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.

Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.

What's the opportunity?

We're building a new function at Fin: AI Product Management. For over a decade, Fin has invested in in-house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we’re expanding this team with product managers who will define the future of Fin AI platform and AI agent.

As a Staff AI Product Manager, you’ll shape the vision, strategy, and roadmap for core AI systems that power Fin and Fin's AI features. You’ll work at the intersection of advanced AI research, cutting-edge product development, and real customer problems, helping us build world-class AI products that deliver meaningful business impact.

This is a high-ownership role for a technical, customer-obsessed PM who thrives in fast-moving, ambiguous environments and loves turning complex AI capabilities into simple, delightful product experiences.

What will I be doing?

  • Lead a major part of our AI product surface. You’ll own an important area of Fin's AI platform or AI agent and be accountable for its vision, strategy, and impact.
  • Deeply understand customers, the business, and the technology. You’ll learn the space inside out: what customers need, where the business is going, and how our AI systems work. You’ll use this understanding to make high-quality decisions and build a compelling roadmap.
  • Work side-by-side with a world-class AI team. You’ll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you’ll explore new ideas, assess feasibility, evaluate trade-offs, and turn advanced AI capabilities into high-value product experiences.
  • Ship ambitious, high-quality AI product. You’ll take AI concepts from early exploration through to production launches. You’ll run fast experiments, define success metrics, evaluate performance, and iterate until the experiences are both effective and delightful.
  • Collaborate across the company. You’ll work closely with our core product org to integrate AI across the Fin platform, and partner with GTM, marketing, support, and operations to drive adoption and customer impact.
  • Lead through clarity, ownership, and momentum. You’ll bring teams together, communicate decisions clearly, create alignment, and consistently push toward impactful outcomes.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What skills do I need?

  • Strong AI and technical fluency. You’ve built or worked deeply with AI/ML products, ideally including generative AI. You can discuss model behaviour, evaluation, prompts, architectures, constraints, and trade-offs with technical partners. You’re comfortable working autonomously in complex technical spaces.
  • Excellent product judgment. You balance customer needs, business goals, and technical realities. You know when to push for ambitious ideas and when to iterate quickly. You can turn new or ambiguous AI capabilities into clear, valuable product experiences.
  • Sharp problem framing and customer insight. You can independently understand and articulate complex problems using research, data, and direct customer conversations. You translate complexity into crisp problem statements for your team.
  • Ability to build world-class product. You collaborate deeply with engineering and design to ship high-quality software. You know how to test, measure, and iterate on AI systems and user-facing AI features. You care deeply about safety, reliability, and delivering customer value.
  • Strong communication and leadership. You influence widely, bring structure to ambiguity, and create momentum. You communicate clearly and frequently, keeping partners aligned and engaged. You take ownership and raise the bar for the team around you.

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Why you'll love it here

  • You’ll work with an experienced AI team that has been shipping AI long before it was mainstream.
  • You’ll have real autonomy, real impact, and real responsibility.
  • You’ll help build the next generation of customer service through the power of AI.
  • You’ll help shape the future of AI PM craft at Fin.

At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements.

Learn more about working at Fin and the benefits we offer at fin.ai/careers.

Policies

Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

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Skills

AI Product Management
Generative AI
Machine Learning
Product Strategy
Roadmap Development
Technical Fluency
Data Analysis
Customer Insight
Problem Framing
Cross-functional Collaboration
Software Development
Experimentation
Performance Metrics
Leadership
Communication

Location

London, England, United Kingdom

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