What's the opportunity?
Are you seeking to make an outsized impact in your next role? Do you want to drive exceptional value for companies that are transforming their businesses through the deployment of AI Agents?
Look no further, Intercom is seeking our first AI Agent Deployment Architect to drive successful implementations of Fin, our cutting-edge AI Agent that is transforming the way our customers interact with their end users. As the go-to expert on the Professional Services team for all things Fin, you’ll play a key role in shaping the deployment framework for Fin, so our customers are able to deliver intelligent, personalized, actionable, and fully automated support experiences that make every single customer feel understood and valued.
For this role, we are seeking an experienced Knowledge Management leader to join our Professional Services team in an exciting new role! In this role, your primary focus will be to drive exceptional value during the implementation of Intercom’s AI-first Customer Support solutions by providing deep expertise of our AI Agent solutions.
What will I be doing?
- Optimize the playbook for Ai Agent (Fin) Deployment across our customer base
- Conduct detailed discovery sessions with customers to gather information about their current Knowledge Management operations, tech stack, and typical customer queries
- Develop a tailored deployment plan for each implementation that highlights readiness to deploy an AI-first solution
- Develop a change management methodology that supports customers through the transformation of their Support Organization
- Drive adoption of a “culture of knowledge” in our customers’ organizations through practical application of Knowledge Management best practices
- Develop a deployment strategy for our comprehensive suite of AI-tools
- Analyze customer data to develop a robust set of recommendations to optimize customer outcomes such as resolution rates and CSAT
- Work with the AI Engineer to construct a robust AI-agent deployment to drive maximum value
- Help guide the Professional Services team to develop a robust set of Implementation Best Practices specific to our AI suite of tools
- Collaborate with internal teams, such as Sales, Engineering, Product Management, and Support, to address any challenges and ensure a smooth implementation experience.
- Work with our Product Team to pressure test alphas / betas and develop deep understanding of common customer use cases
- Provide detailed feedback to our Product team on high priority features requested by customers
What skills do I need?
- Bachelor's degree in a relevant field or equivalent practical experience
- Exceptional problem-solving skills, with the ability to analyze complex requirements and propose effective solutions
- Excellent communication, presentation, and interpersonal skills, with the ability to build relationships with customers and internal stakeholders.
- Ability to handle multiple client projects simultaneously and prioritize tasks effectively
- Passion for delivering exceptional customer service and driving customer success
Bonus skills & attributes
- Experience with AI Agents and / or generative AI
- Basic understanding of RESTful API integrations
- Basic understanding of customer support processes and workflows, including ticketing systems, knowledge bases, and customer communication channels
- Experience in Knowledge Management
Benefits
We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! :)
- Competitive salary and meaningful equity
- Comprehensive medical, dental, and vision coverage
- Regular compensation reviews - great work is rewarded!
- Flexible paid time off policy
- Paid Parental Leave Program
- 401k plan & match
- In-office bicycle storage
- Fun events for Intercomrades, friends, and family!
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the San Francisco Bay Area is $163,078 - $189,523. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
