Jobs at Intercom

Leads North American Mid-Market and Enterprise Solutions Engineering teams, defining go-to-market strategy, scaling talent, and supporting complex enterprise sales. Acts as a player-coach by guiding strategic deals, developing solution architectures, delivering demos and PoCs, advising executives, building reusable technical assets, and influencing product direction. Partners across Sales, Product, Marketing, Engineering, and Services to drive customer outcomes and revenue growth through AI-powered support solutions.

Leads Mid Market and Enterprise Solutions Engineering teams across North America. Defines go-to-market strategy, scales and coaches high-performing teams, supports complex enterprise sales cycles, and provides technical guidance through architecture, demonstrations, proof-of-concepts, and business value assessments. Partners with Sales, Product, Marketing, Engineering, and Services to develop verticalized solutions, influence product strategy, engage executive customers, and deliver measurable outcomes using AI-driven customer support products.

Build and deliver AI-powered customer solutions for strategic clients. Partner with customer technical teams to understand requirements, prototype and ship software, integrate systems through REST APIs, and drive measurable adoption of Fin. Collaborate with Sales, Success, Product, and Engineering teams, provide product feedback, codify implementation best practices, and work onsite with customers as needed.

Own success strategy, adoption, retention, and value realization for strategic enterprise customers using Fin’s AI platform. Build executive relationships, lead QBRs and implementation programs, develop AI automation roadmaps, analyze usage and performance, mitigate risks, support renewals and expansion, translate customer feedback into product improvements, and mentor other customer success managers.

Leads Fin’s North American new business sales organization across SMB and Mid-Market segments. Owns regional sales strategy, planning, forecasting, pipeline execution, territory and quota design, hiring, and development of sales managers. Partners cross-functionally with Marketing, Product, RevOps, Sales Engineering, Enablement, and Customer Success to scale efficient sales processes, improve win rates, and deliver new logo and revenue growth.

Own and grow a mid-market customer portfolio by driving retention, renewals, revenue expansion, upsell, and cross-sell. Engage executives to position AI-powered solutions, develop territory strategies, analyze performance metrics, and connect customer needs to product and go-to-market teams. The role also mentors peers and requires strong commercial judgment, SaaS sales experience, procurement expertise, and consistent quota overachievement.

Drive full-cycle recruiting for GTM and G&A roles, partnering with leaders and hiring managers on talent strategy. Build diverse pipelines, source and convert passive candidates, use data to improve searches, advise stakeholders, and deliver an excellent candidate experience. The role requires expertise in GTM and sales recruiting within a high-growth technology environment, strong talent-market knowledge, and the ability to improve recruiting processes.

Owns partner-delivered Fin implementation projects, onboarding and certifying service partners, translating customer requirements into deployment plans, driving AI adoption and portfolio KPIs, managing escalations and project risks, improving partner operations, and coordinating with Sales, Customer Success, Support, and R&D. Leads partner business reviews and ensures delivery quality, customer outcomes, and continuous partner enablement.

As a Mid-Market Account Executive at Intercom, you'll drive sales growth, manage customer relationships, and contribute to strategic initiatives to enhance product adoption.

As an SMB Account Executive, you'll grow new business through the full sales cycle, manage relationships, and forecast revenue for Intercom's Small Business segment.

Partner with enterprise customers to drive successful adoption and business outcomes using Fin’s AI customer service agent. Responsibilities include requirements gathering, process mapping, solution design, configuration guidance, usage monitoring, optimization, expansion identification, success planning, executive business reviews, and internal customer advocacy. The role requires strong technical acumen, customer-facing communication, prioritization, and experience improving processes and measurable outcomes for enterprise accounts.

Partners with enterprise customers and C-suite stakeholders to drive AI customer-service transformations. Responsibilities include requirements gathering, process mapping, solution design, configuration guidance, adoption monitoring, optimization, success planning, QBRs, strategic planning, and identifying expansion opportunities. The role collaborates with engineers, advocates for customer needs internally, and drives measurable automation and business outcomes.

Lead technical discovery, pre-sales presentations, solution reviews, proof-of-concept engagements, RFP responses, and customer security discussions. Partner with Product, R&D, and Engineering to translate customer needs into tailored AI solutions, influence product direction, and improve Solutions Engineering processes. Build trusted customer relationships, communicate value to technical and business audiences, support customer success, and travel occasionally.

Lead technical discovery, presentations, solution reviews, proof-of-concept design, RFP responses, and customer security discussions throughout the sales cycle. Partner with customers, Product, R&D, and Engineering to tailor AI solutions, communicate customer feedback, influence product direction, and improve Solutions Engineering processes. Build trusted customer relationships, drive adoption and success, and travel occasionally.

Lead complex AI customer-agent deployments from discovery through implementation. Manage project scope, schedule, budget, risks, reporting, and stakeholder communication while configuring automation, workflows, and analytics. Coordinate integrations, data migrations, security reviews, and technical readiness with engineers. Advise executives and technical teams, measure customer value and adoption, collaborate cross-functionally, and improve deployment methodologies using AI tooling.

As a Scaled Customer Success Manager, you will drive product adoption, engage customers, monitor usage, and collaborate with various teams to enhance customer experiences using AI-powered solutions.