AI Operations Analyst
at Dropbox
Remote
Role Description
We’re looking for a curious and action-oriented AI Ops professional to join our GTM Platforms team. In this role, you’ll be the connective tissue between our go-to-market (GTM) teams—Sales, Marketing, Customer Success, and Customer Support—and our internal AI and engineering teams. Your mission: identify, define, and drive the integration of AI tools and agentic workflows that make our GTM teams faster, smarter, and more efficient.
This is not a deeply technical role; instead, success requires a deep understanding of GTM processes, a systems mindset, and a knack for turning complex challenges into high-impact AI applications. This is a role for someone who sees AI as a means to rethink tired GTM processes, not just speed them up. We’re looking for a builder. Someone who’s applied AI tooling (even scrappily) to real business ops and wants to go further.
Responsibilities
- Identify high-impact opportunities to integrate AI into internal and customer-facing workflows across GTM teams.
- Partner with the Customer Support AI Program Manager to expand and optimize our conversational chatbot, ensuring seamless cross-team coordination.
- Define agentic workflows that streamline tasks and reduce friction for Sellers and GTM operators.
- Collaborate closely with AI/engineering partners to translate operational logic into scalable solutions.
- Gather feedback from GTM stakeholders to iteratively improve AI solutions and workflows.
- Support change management and user adoption, helping teams understand and embrace new AI-powered capabilities.
Requirements
- Experience implementing and operationalizing AI solutions at scale - specifically in a Saas GTM context.
- Experience in Sales Operations, Revenue Operations, or Deal Operations with a strong track record of solving problems through technology
- Deep understanding of GTM systems and workflows (e.g., Salesforce, CPQ, enablement tools, Customer Engagement Platforms)
- Ability to translate between technical and non-technical audiences, aligning engineering delivery with real-world business needs
- Strong systems thinking, with the ability to design end-to-end processes that scale
- A bias for action and the ability to operate with autonomy in a fast-moving environment
- Natural ability to influence without authority and drive cross-functional alignment
- Passion for AI, experimentation, and continuous improvement
Preferred Qualifications
- A self-starter and who is able to thrive in ambiguity
- Comfortable leading x-functional working teams (leading without authority)
- Ability to leverage quantitative and qualitative insights to inform business improvement recommendations
Compensation
Canada Pay Range
$128,800—$174,200 CAD