Agent Success Manager
Guides enterprise customers through AI agent deployments, drives adoption and value realization, and influences product roadmap based on customer feedback. Requires 4+ years in technical B2B SaaS customer-facing roles with strong communication and technical acumen.
About the job
Responsibilities
- Play a key role in shaping the Agent Success function and laying the groundwork for how it operates at Decagon
- Build meaningful and long-lasting partnerships with our customers, and act as your customers' strategic advisor
- Co-pilot with your customers throughout their deployment journey, from early stages of project scoping all the way to full adoption and value realization
- Continuously learn and upskill your expertise in our product features and functionality, as well as wider AI industry context to become an expert in best practices
- Expertly communicate with customer stakeholders, from individual contributors all the way to C-level executives
- Identify and support new projects and initiatives to best support our team and customers
- Collaborate with Agent Product & Engineering teams to identify technical improvement opportunities and influence the product roadmap based on customer needs
Requirements
- 4+ years of customer facing experience in a technical and customer facing role in B2B SaaS
- Proven experience managing large customers and driving highly visible projects involving multiple stakeholders
- Excellent communication and presentation skills, with the ability to simplify complex concepts for non-technical audiences
- Strong interpersonal, persuasion and teamwork skills
- Business understanding of GTM sales teams and processes
- Strong technical acumen and passion for the overall agent building process (ability to code not required or needed)
Nice-to-haves
- Familiar with Agentic AI tool deployments in large organizations
- Working knowledge of Customer Support processes, systems, and best practices
- Experience in a high-growth startup environment
- Bachelor's degree in Science, Technology, Engineering, Math or similar fields
Compensation
$160K-$220K OTE + equity
Skills
B2B SaaS, Agentic AI, Customer Support, AI Agents, Product Roadmap, Stakeholder Management, Gtm Processes, Technical Acumen, Conversational AI, Deployment Best Practices
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