AI Implementation Manager, Runna

• You have 4+ years of experience in product, product operations, strategy consulting, and/or engineering, with a focus on AI tooling. Ideally, you have experience with fast-paced startups or scale-ups as well
• You have proven success owning and executing AI or automation initiatives within a support environment — from opportunity analysis through rollout and iteration with measurable results
• You have a strong technical fluency with AI-enabled CX tools like Intercom Fin, Zendesk AI, Zapier — and can partner confidently with engineering, product, or data teams to make automation work at scale. You also have experience implementing self-serve systems, including help center content, bot workflows, and trigger-based automations
• You have a sharp analytical mind — you're excited by digging into inbound trends, tagging, and AI performance metrics, and turning raw insights into smart solutions
• You have exceptional written and verbal communication skills, with the ability to clearly articulate strategy, persuade stakeholders, and write with simplicity and clarity
• You have a proven track record of cross-functional collaboration, working across CX, Product, Engineering, and Content teams to drive customer-centric improvements
• You have a strong sense of ownership — you're comfortable being the go-to person for all things automation and can lead independently in a fast-moving environment

Desirable

• As our first AI Lead - CX, you’ll be responsible for driving the strategy, execution and ongoing improvement of all things AI, automation and self-serve within Customer Experience
• You'll use AI to provide the best support to our customers and enable our customer experience teams to work more effectively, proactive resolve customer issues, simplify support workflows, and drive impact across the business
• You’ll work cross-functionally to step change our customer support and help our users get better answers quicker — all while building a best-in-class, AI-leading CX team
• Use data to guide decision-making
• You’ll dig into customer conversation data to identify contact drivers (e.g. , identifying top inbound categories and audiences) and lead strategies to reduce these
• You’ll review the most common questions and automate these within Intercom, in collaboration with our product and tech teams
• You’ll analyze key conversation data to prioritize and optimize AI initiatives for impact
• Define and track AI metrics
• You’ll establish clear KPIs around AI success across productivity, quality, coaching, and impact metrics
• These include (but are not limited to) AI involvement rate, AI resolution rate, AI deflection rate, AI CSAT, AI quality assurance, AI triaging quality assurance, first response time, resolution time, etc
• You’ll be responsible for evaluating these metrics and drawing insights to iterate on goals, processes, and priorities, as well as communicating these results / insights clearly across CX, Product, and company leadership
• Own our AI roadmap — from opportunity discovery through to implementation and iteration
• You’ll prioritize where automation can improve efficiency and experience, and work with the broader CX team, Product, and Engineering to deliver it
• You’ll be at the forefront of leveraging AI for a stronger CX team
• Operationalize AI tooling across the CX org
• You’ll design and deploy internal and external tools (e.g. , Intercom’s Fin AI Agent and Copilot) to improve response times, increase self-service / knowledge transfer, and boost team productivity in a scalable manner
• Collaborate cross-functionally
• You’ll work closely with Content, Product, CRM, and CX leaders to ensure help content is updated, product gaps are flagged, and the voice/tone stay aligned
• You’ll collaborate with Tech teams to build out and integrate bespoke AI solutions to help increase CX team productivity and decrease contact rate
• Stay one step ahead
• You’ll monitor emerging AI and automation tools, run pilots, and keep us at the cutting edge of customer support innovation — without compromising empathy or quality
• Champion internal adoption
• Act as an internal advocate for AI adoption — equipping teams with the tools, training, and confidence to use automation effectively

• Our aim is to keep the interview process as straightforward and enjoyable as possible, and will consist of the following stages:
• Introductory chat with Emily C, Talent Lead (25-minute video call)
• First round interview with Emily N, GTM Lead (30 minutes, video interview)
• Take Home Task
• Second round interview with Emily N and Josh (COO) or Dom (CEO) (60 minutes video call)
• Final round / office visit with Zac (Senior Customer Experience Manager), Sina (Head of CX), and/or Walter (CTO) (in-person ~1hr 30mins)
• Please let us know if there’s anything we can do to better accommodate you throughout the interview process - this can be from scheduling interviews around childcare commitments to accessibility requirements. We want you to show your best self in the process so please speak to your Talent Partner!