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For Companies At a Glance
- Tasks: Own the AI Agent building process, collaborating with teams and customers.
- Company: Decagon creates advanced conversational AI agents for top enterprises like Duolingo and Notion.
- Benefits: Enjoy flexible vacation, daily meals, and competitive compensation with equity options.
- Why this job: Make a real impact in AI while working with influential businesses and innovative technology.
- Qualifications: 4+ years of experience with strong technical skills and communication abilities required.
- Other info: Ideal for those who thrive in fast-paced, dynamic environments.
The predicted salary is between 145000 - 200000 £ per year.
About Decagon
Decagon is building the most advanced conversational AI agents for the enterprise. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.
About the Team
The Agent Product Management team drives this journey as Decagon’s in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company’s businesses.
About the Role
On the APM team you’ll own each stage of the AI Agent building process. This can include:
- Collaborating with engineering to design a new product feature
- Writing and testing prompt logic for a specific customer use case
- Working with a customer’s executive team to define their AI roadmap
You’ll partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and across our leadership team. You’ll become a key source of customer insight guiding our long-term product roadmap. APMs at Decagon own their own portfolio of agents from end-to-end and are trusted to make real impact.
This role is for someone who dives deep into complex business problems, builds elegant solutions and then scales them out to millions of users. In this role, you will:
- Build, design and optimize Enterprise-quality AI agents in collaboration with customers — understanding their workflows, pain points, and goals.
- Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmap.
- Run tight feedback loops into Engineering — influence feature development based on real customer needs.
- Represent Decagon externally — working closely with customers and prospects, participating in key deployments.
Your background looks something like this:
- Have 4+ years of relevant experience (e.g., product manager, engagement manager, consultant, founder, etc.)
- Deep technical acumen — able to understand and shape AI agent designs.
- Strong communication and relationship-building skills.
- Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.
Even better:
- A Computer Science, Engineering, or Math degree — or equivalent technical experience.
Benefits:
- Medical, dental, and vision benefits
- Take what you need vacation policy
- Daily lunches, dinners and snacks in the office to keep you at your best
- Compensation £145k – £200K + Offers Equity
Agent Product Manager employer: Decagon AI, Inc.
Contact Detail:
Decagon AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agent Product Manager
✨Tip Number 1
Familiarise yourself with the latest trends in AI and conversational agents. Understanding the current landscape will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the AI and product management space. Attend industry events or webinars to connect with people who work at Decagon or similar companies, as personal referrals can significantly boost your chances.
✨Tip Number 3
Prepare to discuss specific examples of how you've tackled complex business problems in the past. Highlighting your problem-solving skills and ability to implement solutions will resonate well with the hiring team.
✨Tip Number 4
Showcase your technical acumen by brushing up on AI concepts and tools relevant to the role. Being able to speak the language of AI will set you apart and show that you're ready to dive into the technical aspects of the job.
We think you need these skills to ace Agent Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in product management, AI, or customer engagement. Use specific examples that demonstrate your ability to solve complex business problems and work with technical teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with Decagon's mission. Mention specific projects or experiences that showcase your skills in building and optimising AI agents.
Showcase Technical Acumen: If you have a technical background, emphasise your understanding of AI technologies and how you've applied this knowledge in previous roles. This will help demonstrate your capability to shape AI agent designs.
Prepare for Interviews: Anticipate questions about your experience with AI and product management. Be ready to discuss how you've collaborated with cross-functional teams and influenced product development based on customer feedback.
How to prepare for a job interview at Decagon AI, Inc.
✨Understand the AI Landscape
Familiarise yourself with the latest trends in AI and conversational agents. Be prepared to discuss how these technologies can impact customer support and business operations, as this role requires a deep understanding of AI applications.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experience where you've tackled complex business problems. Highlight how you developed solutions and the impact they had, as this role involves diving deep into customer challenges.
✨Communicate Effectively
Strong communication is key for this position. Practice articulating your thoughts clearly and concisely, especially when discussing technical concepts. Be ready to demonstrate how you build relationships with stakeholders.
✨Engage with the Team Dynamics
Research Decagon's team structure and be ready to discuss how you would collaborate with various departments like Engineering and Go-To-Market. Show that you understand the importance of cross-functional teamwork in delivering successful AI solutions.
