Jobs and Careers

Manager, AI Support Experience and Tooling

United Statesfull_timeVerifiedPosted 15 Jan 2026

About the role

Inclusion at Bumble Inc.
Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help.In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc).

The AI Support Experience Manager plays a key role in shaping the future of customer support by building, optimizing, and expanding our AI-driven support model. This role is responsible for managing the performance, workflow design, and continuous improvement of our AI support tools—ensuring they deliver efficient, high-quality experiences for our customers while reducing dependency on manual support.
Working closely with Product POCs, Support Operations leadership, and our AI platform’s customer success team, this person will ensure our AI tools evolve to meet business needs, integrate seamlessly into our support ecosystem, and continuously deflect lower-value work from human agents—enabling the team to focus on complex, relationship-driven interactions. This role requires hands-on experience managing and optimizing AI and CRM systems, particularly Sierra AI and Zendesk, to ensure seamless integration across customer support workflows.

Key Responsibilities

AI Workflow Management & Optimization:
Build, configure, test, and maintain AI-driven workflows and automations in Sierra AI and Zendesk, ensuring efficient and accurate customer issue resolution, and that the ecosystem evolves with business needs.
Identify new SOPs, contact drivers, and support processes that can be automated or AI-assisted to increase containment and reduce cost per contact.
Regularly test and refine conversation flows, intents, and escalation paths to improve accuracy and user experience.
Collaborate with Knowledge and Operations teams to ensure AI workflows are supported by accurate and up-to-date content.
Performance Monitoring & Quality Management:
Track and report on key performance indicators (containment, deflection, handle time, bot CSAT, etc.) using Sierra AI and Zendesk analytics to surface insights and drive improvements.
Analyze AI interactions to identify quality gaps, intent mismatches, and opportunities for retraining or optimization.
Develop and maintain dashboards or reports to share performance trends with Support Operations leadership.
Establish a quality review process for AI responses to ensure tone, clarity, and empathy align with brand standards.
Cross-Functional Partnership & Collaboration:
Partner with Product POCs, Support Operations, and Knowledge Management to design scalable, AI-enabled solutions for emerging customer needs.
Partner with internal systems and tooling teams (Data, QA, and Engineering teams, etc.) to ensure AI and support technologies work cohesively to optimize the end-to-end agent and customer experience.
Work with frontline leaders to identify pain points and translate them into AI-enabled improvements or workflow changes.
Support change management efforts as tasks transition from manual handling to AI-assisted resolution.
Vendor & Platform Relationship Management:
Maintain and grow the partnership with the AI platform’s Customer Success and Product teams—advocating for enhancements that support our customer experience vision.
Act as the primary operational liaison for AI-related escalations, feature requests, and roadmap alignment.
Ensure the AI vendor’s performance and capabilities are regularly reviewed and optimized against business goals.
Operational Impact & Continuous Improvement:
Drive measurable improvements in support cost efficiency, team productivity, and customer satisfaction through AI adoption.
Document and scale AI-supported SOPs and automations across multiple contact types.
Promote adoption of AI tools internally, creating awareness and training programs for Support teams.
Stay informed on AI industry trends and emerging technologies relevant to support operations; proactively recommend opportunities for innovation.
Success Metrics:
Increased AI containment rate and deflection from human support.
Improved customer satisfaction (CSAT/NPS) for AI-assisted interactions.
Reduction in manual ticket volume for low/medium-complexity contacts.
Faster resolution times across AI workflows.
Documented and scaled AI-supported SOP