Agent Strategy Manager

As a member of Decagon’s Agent Strategy team you will partner closely with customers to guide deployments, support adoption and ensure they have the tools and insight they need to achieve meaningful outcomes. You will work cross functionally with Product and Engineering to surface customer needs, solve challenges and help shape how our technology performs in real world environments. This role blends relationship management with hands on execution and is ideal for someone who thrives in a fast paced setting and wants to have a direct impact at a high growth company.

In this role, you will

Play a key role in shaping the Agent Strategy 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

Your background looks something like this

4+ years of customer facing experience in a technical and customer facing role in B2B SaaS (e.g. Technical Account Manager)

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)

Even better if you have

Are familiar with Agentic AI tool deployments in large organizations

Have working knowledge of Customer Support processes, systems, and best practices

Have experience in a high-growth startup environment

Have a bachelor's degree in Science, Technology, Engineering, Math or similar fields

Compensation

$160K-$220K OTE + equity