Staff AI Product Manager

Staff AI Product Manager

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
United States Digital Space LLC

At a Glance

  • Tasks: Lead AI product development and shape the future of customer service.
  • Company: Join a fast-growing AI company transforming customer experiences.
  • Benefits: Competitive salary, equity, flexible time off, and comprehensive health benefits.
  • Other info: Enjoy a dynamic work environment with opportunities for growth.
  • Why this job: Make a real impact in AI while working with a talented team.
  • Qualifications: Experience in AI/ML products and strong problem-solving skills.

The predicted salary is between 60000 - 80000 £ per year.

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 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.

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.

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.

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.

Benefits

  • Competitive salary and equity in a fast-growing start-up.
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.
  • Regular compensation reviews - we reward great work!
  • Pension scheme & match up to 4%.
  • Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.
  • Flexible paid time off policy.
  • Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.
  • If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too.
  • MacBooks are our standard, but we also offer Windows for certain roles when needed.

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.

Staff AI Product Manager employer: United States Digital Space LLC

At Fin, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among our talented AI team. With competitive salaries, generous benefits, and a commitment to employee growth, we empower our staff to take ownership of their projects and make a meaningful impact in the fast-evolving world of AI customer support. Located in a vibrant tech hub, we provide a supportive environment where diverse perspectives are valued, ensuring that every team member can thrive both personally and professionally.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff AI Product Manager

Join Product Management Meetups

Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like United States Digital Space LLC!

Show Off Your Product Sense

Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at United States Digital Space LLC would be by your initiative!

Utilise Online Communities

Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.

Leverage Your University Network

If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at United States Digital Space LLC through your school's career services!

We think you need these skills to ace Staff AI Product Manager

AI and Machine Learning Fluency
Generative AI Knowledge
Product Judgment
Customer Insight
Problem Framing
Collaboration with Engineering and Design
Software Testing and Measurement

Some tips for your application 🫡

Show Off Your Product Passion:When applying for a product management role like Staff AI Product Manager, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!

Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!

Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.

Tailor Your CV to the Role:Make sure your CV is tailored for the Staff AI Product Manager position at United States Digital Space LLC. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!

How to prepare for a job interview at United States Digital Space LLC

Understand the Product Life Cycle

As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.

Showcase Your Cross-Functional Skills

Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.

Prepare for Case Studies

In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.

Know Your Metrics

Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.