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Staff AI Product Manager
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At a glance
- Employment type
- Full-time
- Workplace
- Remote
- Category
- Product / Owner
What you'll be doing
Fin is seeking a Staff AI Product Manager to lead the vision and strategy for their AI platform. This role involves collaborating with a team of AI experts to create impactful AI products that enhance customer experiences. The ideal candidate will have strong AI fluency, excellent product judgment, and the ability to communicate effectively across teams.
- Lead a major part of Fin's AI product surface, owning its vision, strategy, and impact.
- Understand customers, business, and technology to make informed decisions and build a compelling roadmap.
- Collaborate with ML scientists, engineers, designers, and researchers to explore ideas and evaluate trade-offs.
- Ship high-quality AI products from exploration to production, running experiments and defining success metrics.
- Work closely with the core product organization and other departments to drive adoption and customer impact.
- Communicate decisions clearly and create alignment across teams.
Key requirements
Must-have
- Strong AI and technical fluency, with experience in AI/ML products.
- Excellent product judgment balancing customer needs and technical realities.
- Ability to frame complex problems and derive insights from customer interactions.
- Experience in collaborating with engineering and design to deliver high-quality software.
- Strong communication and leadership skills.
Experience: NotSpecified
Role signals
- Technical focus
- Product / Owner
- Hands-on vs management
- Mixed
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Full job description
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's 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?
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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.
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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.
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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.
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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.
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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.
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Lead through clarity, ownership, and momentum. You’ll bring teams together, communicate decisions clearly, create alignment, and consistently push toward impactful outcomes.
What skills do I need?
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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.
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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.
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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.
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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.
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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.
Why you'll love it here
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You’ll work with an experienced AI team that has been shipping AI long before it was mainstream.
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You’ll have real autonomy, real impact, and real responsibility.
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You’ll help build the next generation of customer service through the power of AI.
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You’ll help shape the future of AI PM craft at Fin.
Benefits
We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!
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Competitive salary and equity in a fast-growing start-up
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We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
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Regular compensation reviews - we reward great work!
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Pension scheme & match up to 4%
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Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
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Flexible paid time off policy
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Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
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If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
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MacBooks are our standard, but we also offer Windows for certain roles when needed.
**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.
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
Based on this listing, the Staff AI Product Manager role at Fin focuses on leading the vision, strategy, and execution for core AI systems, collaborating with technical teams, and translating advanced AI capabilities into impactful customer-facing products.
- AI/ML product leadership·High
- Technical fluency in AI systems·High
- Customer-centric product strategy·High
- Cross-functional collaboration·High
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Research Fin's AI Products and Market Position
0–7 minSpend time on Fin's website and recent press releases to understand their AI agent, platform features, and customer base.
Review AI/ML Product Management Case Studies
7–15 minPrepare 1-2 detailed examples from your experience leading AI/ML products, focusing on vision, execution, and impact.
Brush Up on AI Product Metrics and Safety Practices
15–20 minList key metrics and quality assurance practices relevant to AI-powered customer support.
Prepare Questions and Talking Points for the Interview
20–25 minDraft thoughtful questions about Fin's AI strategy, team structure, and product development process.
Practice Communicating Complex AI Concepts Simply
25–30 minRehearse explaining technical AI topics to non-technical audiences using clear, concise language.
Talking points
, 5 itemsDefining and Executing AI Product Vision
Be ready to discuss how you have set and driven the vision and strategy for AI/ML products, including how you balance technical possibilities with customer and business needs.
Technical Collaboration with AI/ML Teams
Prepare examples of working closely with ML scientists, engineers, and designers to turn complex AI concepts into production-ready features.
Problem Framing and Customer Insight
Show how you have used research, data, and direct customer engagement to identify and articulate complex problems, and how you translated these into actionable product plans.
Shipping and Iterating on AI Products
Demonstrate your experience running experiments, defining success metrics, and iterating on AI-powered features to achieve high-quality outcomes.
Driving Alignment and Communication
Highlight your ability to communicate decisions, create alignment across teams, and lead through ambiguity in fast-paced environments.
What to research
, 4 itemsFin's AI Platform and Product Offerings
Review Fin's website and product documentation to understand their AI agent, platform capabilities, and integration with Intercom.
Recent Trends in AI Customer Support
Research current advancements and best practices in AI-powered customer service, especially generative AI applications.
Cross-functional Collaboration in AI Product Teams
Prepare examples of working with ML scientists, engineers, and designers to deliver AI products.
Metrics for AI Product Success
Identify key metrics used to evaluate AI features in customer support contexts.
Questions to ask
, 6 itemsWhat are the biggest challenges Fin faces in scaling its AI agent across new customer segments?
Why ask this? Shows strategic thinking and interest in the company's growth trajectory.
How does the product team collaborate with ML scientists and engineers during the development lifecycle?
Why ask this? Clarifies expectations for cross-functional teamwork and communication.
What processes are in place to ensure the safety and reliability of AI-powered features?
Why ask this? Demonstrates concern for quality and risk management in AI products.
How does Fin gather and incorporate customer feedback into the AI product roadmap?
Why ask this? Shows customer-centric mindset and interest in continuous improvement.
What does success look like for this role in the first 6-12 months?
Why ask this? Helps set expectations and understand priorities for the position.
How does Fin stay ahead of emerging trends in AI and customer support?
Why ask this? Indicates a desire to contribute to innovation and long-term vision.
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