Strategic Agent Product Manager at Decagon

San Francisco, California, United States

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$240,000 – $285,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SaaSIndustries

Requirements

Product-minded and scrappy, able to drive highly complex projects across cross-functional teams
Comfortable building and navigating relationships with some of the largest brands in the world, including strategic accounts with high complexity
Able to navigate customer stakeholders across org charts and develop deep, trusted relationships at all levels (e.g., CX leaders, Product Leaders, Operations Leaders)
Thrives in a highly autonomous environment
Background suitable for future founders, general managers, or business unit leaders (inferred from role ideal fit)

Responsibilities

Build, design, and optimize Enterprise-quality AI agents in collaboration with Decagon’s most strategic 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 to influence feature development based on real customer needs
Represent Decagon externally, working closely with customers and prospects, and participating in key deployments
Collaborate closely with Decagon’s C-suite and other executives to continue building the playbook for strategic logos
Own each step in the AI Agent build lifecycle, including collaborating with engineering to design new product features, writing and testing prompt logic for specific customer use cases, and working with customer executive teams to define their AI roadmap
Partner closely with every team at Decagon (Go-To-Market, Design, Engineering, leadership) to own and drive customer builds and shape the overall product roadmap as the voice of the customer

Skills

Product Management

LLMs

Prompt Engineering

AI Agents

Customer Collaboration

Engineering Collaboration

AI Roadmap

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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