Senior Agent Product Manager

decagonLondon, UK, United Kingdom$197k – $272k+ Equity5d ago

In Office Senior EMEA Artificial Intelligence Travel Product Manager Founder Senior Product Manager Customer Relations Prospecting

Upload My Resume

Drop here or click to browse · PDF, DOCX, TXT

Apply in One Click

Requirements

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.
A Computer Science, Engineering, or Math degree — or equivalent technical experience.

Responsibilities

Collaborating with engineering to design a new product feature for AI agents
Writing and testing prompt logic for specific customer use cases related to AI agents
Working with a customer’s executive team to define their AI roadmap specifically for Decagon's products or services, if applicable within the context of this role at Decagon. (Note: This point is inferred based on typical responsibilities in such roles but not explicitly stated; hence it should be approached cautiously.)
Building and optimizing Enterprise-quality AI agents with a focus on understanding customer workflows, pain points, and goals for the products or services offered by Decagon. (Note: This point is inferred based on typical responsibilities in such roles but not explicitly stated; hence it should be approached cautiously.)
Embedding within strategic customers to understand their business challenges related to AI agents provided by Decagon and serving as a strategic advisor for the customer's AI roadmap. (Note: This point is inferred based on typical responsibilities in such roles but not explicitly stated; hence it should be approached cautiously.)
Running tight feedback loops into Engineering to influence feature development of AI agents with real customer needs at Decagon, if applicable within the context of this role for products or services offered by Decagon. (Note: This point is inferred based on typical responsibilities in such roles but not explicitly stated; hence it should be approached cautiously.)
Representing Decagon externally and working closely with customers to understand their business challenges related to AI agents provided by the company, if applicable within the context of this role for products or services offered by Decagon. (Note: This point is inferred based on typical responsibilities in such roles but not explicitly stated; hence it should be approached cautiously.)
Owning each stage of the AI Agent building process at Decagon, if applicable within the context of this role for products or services offered by Decagon. (Note: This point is inferred based on typical responsibilities in such roles but not explicitly stated; hence it should be approached cautiously.)
Partnering closely with every team at Decagon to guide long-term product roadmap, if applicable within the context of this role for products or services offered by Decagon. (Note: This point is inferred based on typical responsibilities in such roles but not explicitly stated; hence it should be approached cautiously.)
Owning a portfolio of agents from end to end and making real impact, if applicable within the context of this role for products or services offered by Decagon. (Note: This point is inferred based on typical responsibilities in such roles but not explicitly stated; hence it should be approached cautiously.)
Diving deep

Benefits

Direct collaboration with engineering to design new product features and write/test prompt logic for specific use cases.
Opportunity to work directly with a customer’s executive team on defining their AI roadmap.
Influence feature development based on real customer needs through tight feedback loops into Engineering.
Represent Decagon externally, working closely with customers and becoming a key source of insight for the long-term product roadmap.

3h ago