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Own and scale GTM enablement through structured knowledge management, an internal AI tutor application, cross-functional content operations, live training, role-based ramp, and field best-practice codification. The role also develops AI agents that improve seller productivity and Revenue Operations insight while partnering across Product, Marketing, Field Engineering, and Sales.

Build qualified sales pipeline by prospecting target accounts through email, calls, and LinkedIn; qualify inbound leads; personalize outreach; educate prospects about AI inference solutions; meet pipeline targets; collaborate with Sales and Marketing; and stay informed on AI/ML trends.

Own strategic enterprise AI customer accounts after signature, driving adoption, renewals, expansion, and long-term commercial outcomes. Partner with Account Executives on pilot scoping, success criteria, and technical-commercial discussions. Coordinate Fireworks and customer teams, translate goals into deployment milestones, identify new workloads and use cases, and communicate customer needs internally. The role requires technical credibility in AI infrastructure, strong stakeholder management, first-principles problem solving, and experience operating across enterprise constraints in EMEA.

Own quota-carrying pipeline and revenue through the Microsoft Azure channel. Build relationships with Microsoft account executives, partner development managers, and ISV teams; coordinate co-sell opportunities; manage forecasting and CRM hygiene; create sales plays and enablement; lead joint business planning, QBRs, and co-marketing; and translate AI inference platform capabilities into customer-facing value propositions.

Drive new enterprise business for Fireworks AI by developing account strategies, generating pipeline, engaging channel partners, managing full sales cycles, forecasting accurately, and closing complex six-figure SaaS deals. The role requires selling technical solutions to large enterprises, maintaining account updates and customer satisfaction, and traveling for client visits and presentations as needed.

Develop, fine-tune, and operationalize machine learning models and AI applications for enterprise customers. Build demos and proofs of concept, integrate new models, enhance internal ML platform features, resolve bugs, optimize performance and scalability, and support partner solutions. Collaborate with sales and solutions teams to ensure successful customer deployments. The role requires strong software engineering, coding, communication, and project execution skills, with preferred experience in generative AI model fine-tuning.