Agent Product Manager at Decagon

London, Ontario, Canada

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£145,000 – £200,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Enterprise SoftwareIndustries

Requirements

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

Responsibilities

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
Own each stage of the AI Agent building process (e.g., collaborating with engineering to design new product features, writing and testing prompt logic for specific customer use cases, working with customer executive teams to define AI roadmaps)
Partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and leadership
Become a key source of customer insight guiding long-term product roadmap
Own a portfolio of agents from end-to-end

Skills

Key technologies and capabilities for this role

Product ManagementAI AgentsLLMsPrompt EngineeringCustomer RoadmapsEngineering CollaborationGo-To-Market

Questions & Answers

Common questions about this position

What is the salary range for the Agent Product Manager role?

The salary range is £145K - £200K.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What experience and skills are required for this role?

Candidates need 4+ years of relevant experience such as product manager, engagement manager, consultant, or founder, deep technical acumen to understand and shape AI agent designs, and strong communication and relationship-building skills.

What is the team structure and culture like at Decagon?

The Agent Product Management team acts as in-house experts on building, deploying, and scaling AI agents, working directly with customers and partnering closely with Go-To-Market, Design, Engineering, and leadership teams in a fast-moving environment.

What makes a strong candidate for this Agent Product Manager position?

A strong candidate has 4+ years of relevant experience, deep technical acumen for AI agent designs, strong communication skills, and thrives in fast-moving environments while diving deep into complex business problems to build and scale solutions.

Decagon

Generative AI solutions for customer support

About Decagon

Decagon.ai provides generative AI solutions designed to improve customer support and operational efficiency for various clients, from large enterprises to growing startups. Their tools automate complex data processes, helping businesses identify themes, detect anomalies, and extract valuable insights from customer interactions. The AI-powered assistance offered by Decagon.ai takes care of routine tasks and learns from human agents, which boosts productivity and enhances customer satisfaction. Unlike many competitors, Decagon.ai focuses on deeply integrating its scalable solutions with clients' internal systems, ensuring smooth automation and support. The company operates on a subscription-based model, allowing clients to access their AI tools and support services. Notable clients include Bilt, Fourthwall, and Vanta, who utilize Decagon.ai's technology for automating ticketing, supporting creators, and improving pre-sales processes.

San Francisco, CaliforniaHeadquarters

2023Year Founded

$97.3MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Meal Benefits

Risks

Increased competition from AI giants like OpenAI and Google threatens Decagon's market share.

Over-reliance on key clients like Bilt and Vanta poses a potential business risk.

Rapid technological advancements could render Decagon's solutions obsolete without continuous innovation.

Differentiation

Decagon.ai offers AI solutions that enhance customer support and operational efficiency.

Their AI-powered agent assistance handles mundane tasks, improving productivity and satisfaction.

Decagon.ai's tools automate complex data processes, unlocking valuable insights from interactions.

Upsides

Increased demand for AI-driven customer support solutions enhances Decagon's market potential.

Growing interest in AI automation tools boosts Decagon's client acquisition opportunities.

Shift towards subscription-based AI services aligns with Decagon's scalable business model.

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