Jobs at Intercom

Drive enterprise sales of Fin, Salesforce’s AI customer agent, from prospecting through close. Responsibilities include building pipeline, conducting consultative sales, delivering customized AI demonstrations, forecasting revenue, advocating for customers, collaborating cross-functionally, mentoring peers, and leading sales initiatives. The role requires German fluency, enterprise SaaS sales experience, consistent quota achievement, strong communication, and familiarity with AI-powered customer engagement or support automation solutions.

Lead and develop a team of Account Executives serving mid-market customers. The role owns pipeline generation, forecast accuracy, revenue performance, complex B2B sales cycles, recruiting, coaching, sales metrics, CRM discipline, and regional go-to-market execution across European markets. The manager will partner with Marketing, Customer Success, Solutions Engineering, and Partnerships to build a high-performing SaaS sales culture.

Drive new business growth by selling Fin’s AI customer support agents to small businesses. Manage the full sales cycle from prospecting through close, execute consultative and outbound sales, handle complex six-figure deals, forecast and plan territories, articulate product value using MEDDPICC, and collaborate with sales, solutions, product, marketing, and R&D teams. Business fluency in German is required.

Own the self-serve existing customer business from conversion through renewal, driving retention, expansion, adoption, and monetization of Fin and new products. Lead product roadmaps, customer research, lifecycle and sales motions, onboarding and billing improvements, cross-functional delivery, and impact measurement. Partner with product, engineering, design, data, marketing, customer success, and sales teams while using AI to accelerate development.

Own the live customer education program for Fin, including curriculum design, webinars, cohorts, workshops, and the annual Fin Academy Live event. Deliver tailored training for enterprise customers, partner with Deployment Services and Customer Education teams, manage program strategy and metrics, and improve onboarding, product adoption, and automation outcomes. Present complex AI concepts to users, administrators, executives, and strategic customers while managing stakeholders and large-scale initiatives. Travel is required for live events and customer engagements.

Leads technical discovery and pre-sales engagements for Fin’s AI customer-support solutions. Designs and presents tailored solutions, conducts technical reviews, leads proofs of concept, responds to RFPs and security questions, and communicates value to technical and executive audiences. Partners with Product, R&D, and Engineering to represent customer needs, influence product direction, and improve Solutions Engineering processes and playbooks. Requires strong problem-solving, communication, customer relationship, and collaboration skills, plus occasional travel.

Drive new business growth across the mid-market segment by managing the full SaaS sales cycle from prospecting through close. Responsibilities include consultative selling, tailored product demonstrations, forecasting, quota attainment, customer advocacy, mentoring, cross-functional collaboration, and developing scalable sales best practices. Fluency in French and extensive Account Executive and SaaS sales experience are required.

Own the full mid-market sales cycle: prospect, demo, negotiate, and close new business for Fin's AI Customer Agent. Provide accurate forecasts, tailor demos, mentor teammates, and represent customer needs to Product and Marketing to drive adoption and growth.

Embed with strategic customers to design, build, and implement data-driven AI solutions that improve customer support automation and Fin adoption. Analyze workflows and business challenges, establish measurement best practices, prototype and scale AI tools, and collaborate with Sales, Success, Product, and Engineering. Feed deployment insights back into product strategy while translating complex technical analysis into measurable business outcomes.

Own the web growth design roadmap and improve the journey from first visit through lead capture, demos, signups, and trials. Design and iterate on landing pages, pricing, forms, and conversion flows using user research, funnel data, experimentation, prototyping, design systems, and AI tools. Collaborate with Growth, Marketing, Product, Data, Research, and Engineering to deliver accessible, polished, measurable experiences.

Own the Messenger product channel for Fin, defining customer problems, roadmap, product vision, and release priorities. Collaborate with engineering, design, research, and cross-functional teams to build and launch AI-powered messaging experiences. Use customer research, data, and AI tools to guide decisions, measure outcomes, maintain product quality, and execute go-to-market strategies. Lead through influence, strong communication, ownership, and alignment with company values.

Own the vision, strategy, roadmap, and impact of a major AI platform or agent product area. Partner with ML scientists, engineers, researchers, designers, and cross-functional teams to turn advanced AI capabilities into valuable customer experiences. Lead experimentation, product launches, success measurement, performance evaluation, and iteration while ensuring safety, reliability, adoption, and business impact. Communicate decisions clearly, align stakeholders, and drive progress in an ambiguous, fast-moving environment.

Lead end-to-end deployments of Intercom and Fin for large customers, manage project scope and timelines, perform hands-on configuration and integrations, coordinate technical readiness and data migrations, track adoption and outcomes, and partner cross-functionally to deliver measurable AI-driven customer support results.

As a Senior Machine Learning Scientist, you will identify ML opportunities, design algorithms, conduct analyses, and collaborate with product teams to build effective ML solutions for customer service enhancement.

As a Staff Machine Learning Scientist, you will focus on hiring and mentoring staff, raising technical standards, and applying machine learning to improve customer experiences. You'll research algorithms, conduct data analysis, and collaborate with teams to produce ML products.

The Staff Product Engineer will build AI-powered products, collaborate with ML scientists, contribute to software development phases, and mentor other engineers.

The Engineering Manager will lead the AI Platform Team, overseeing infrastructure development, hands-on coding, and supporting ML teams while planning high-impact roadmaps and improving developer experience.

The AI Infrastructure Engineer will build and optimize training pipelines and inference services for AI models, enhance GPU-level performance, and mentor team members.

As a Senior Product Engineer in AI, you'll build systems for AI products, collaborate with teams, and enhance product experiences while mentoring others.

Lead the definition and execution of strategic initiatives, contribute to software development and architecture, mentor engineers, and drive technical standards.