Engineering Manager - AI Helpdesk

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. Fin is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our Helpdesk brings together the tools modern support teams need to deliver fast, effective service: an omnichannel inbox, AI-powered ticketing, real-time assistance from Copilot, automation, and Fin AI Agent. We are building a single system where human and AI agents can work together seamlessly, with the context and intelligence to resolve increasingly complex customer issues. What’s the opportunity? The AI Helpdesk is a major next step in the evolution of Intercom’s core product. We are shaping an AI-first Helpdesk that helps support teams work more efficiently, resolve more conversations, and deliver consistently excellent customer experiences. This role sits in a high-impact product organisation where the product vision and technical direction are continuing to evolve. You’ll lead an engineering team working closely with Product, Design, Customer Support, and AI/ML partners to turn customer and operational problems into simple, powerful product experiences. What will I be doing? You will: Lead and grow a high-performing engineering team building AI-first Helpdesk capabilities. Set clear goals and create the conditions for the team to deliver valuable, reliable product at a healthy pace. Partner closely with Product and Design to shape strategy, roadmap, priorities, and customer outcomes. Work with AI and ML partners where relevant, while keeping the focus on building excellent customer-facing product experiences. Understand the customer, agent, and business problems behind the roadmap - not just the delivery process. Bring technical judgment to architecture, quality, reliability, and long-term product health. Remove impediments, create clarity, and help the team make good decisions with increasing autonomy. Build an inclusive, collaborative team culture with high standards for ownership, communication, and execution. Coach engineers and develop senior engineers into technical and organisational leaders. Contribute to the wider AI Helpdesk strategy and help align engineering decisions across adjacent teams. Explore how AI-assisted development can improve the team’s speed, quality, and effectiveness. What are we looking for? The most important thing is that you are an exceptional people leader who is personally action-oriented. We don’t want managers who are distant from the product, and we don’t want hands-on operators who neglect the leadership craft. You build strong teams and get involved directly when the situation requires it. Beyond that, you bring: Experience managing software engineering teams building customer-facing products. Strong product engineering instincts and an interest in customer problems, user experience, and measurable outcomes. The ability to shape strategy, prioritise effectively, and create clarity in ambiguous environments. Enough technical depth to engage credibly in architecture discussions, understand trade-offs, and unblock engineers when things get difficult. A track record of delivering complex work predictably while balancing speed, quality, and reliability. Experience partnering effectively with Product, Design, Data, Customer Support, and other senior stakeholders. A strong record of coaching engineers, developing senior talent