
10.000+ funcionários
🏥 Saúde
🛡️ Seguros
📦 Logística
💰 $2.000.000 Venture Round em 2015-01
Healthcare • Insurance • Logistics
Escolher um parceiro digital vai além das capacidades — trata-se de colaboração e caráter.
🕒 Setembro 2
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $220.000 - $250.000 / ano
⏰ Tempo Integral
🔴 Especialista
📉 Analista de Dados
👻 Score fantasma 12%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

10.000+ funcionários
🏥 Saúde
🛡️ Seguros
📦 Logística
💰 $2.000.000 Venture Round em 2015-01
Healthcare • Insurance • Logistics
Escolher um parceiro digital vai além das capacidades — trata-se de colaboração e caráter.
• Develop and mature pipeline with alliance partners • Scale go-to-market initiatives across industry and alliance teams • Qualify and advance consulting opportunities as part of a broader GTM team • Run a disciplined sales pipeline covering lead management, qualification, and established sales methodology • Identify and align Data Management resources to pursue, win, and manage opportunities • Build organized, differentiated go-to-market activities • Develop overview materials for initial meetings and conversations • Lead preparation for formal sales meetings and orals on qualified opportunities • Shape pursuits by setting win themes, aligning messaging to client priorities, guiding proposal and orals materials, and presenting in orals sessions where appropriate • Support pre-sales with product knowledge, tailored demonstrations, and industry expertise • Support development and positioning of Data Management market offerings • Support leadership in building account and GTM plans • Participate in industry leadership calls and in-person meetings • Work independently and as part of a team • Communicate with senior client stakeholders • Build professional relationships across clients, partners, and internal teams • Lead projects and workstreams from start to finish • Manage competing demands and meet deadlines • Mentor others and provide clear guidance
• 10+ years selling data and AI services or offerings built on at least one major public cloud or data platform • Track record managing complex clients with long sales cycles and significant transaction values • Experience with data platforms, ETL, and data visualization tools • Working understanding of cloud solution architecture, including scalable, available, and fault-tolerant designs • Experience integrating across public, private, and hybrid cloud applications and environments • Experience selling Generative AI services and familiarity with Amazon Bedrock, Azure OpenAI, AI Foundry, Google Vertex AI, and Databricks Mosaic AI • Understanding of RAG, fine-tuning, multi-agent and agentic workflows, model orchestration, unstructured data readiness, and data governance • Grounding in traditional machine learning and MLOps, including SageMaker, Azure ML, Vertex AI, and Databricks ML • Ability to build business cases for Data and AI investments with business and technical buyers • Familiarity with migrating complex, multi-tier solutions to cloud platforms • Familiarity with modern delivery methodologies and frameworks • Ability to travel up to 50% on average • Must be legally authorized to work in the United States without employer sponsorship, now or at any time in the future • Preferred: experience in Manufacturing, Retail, ecommerce, big tech, energy/utilities, or infrastructure • Preferred: experience positioning data monetization or externally facing data products • Preferred: familiarity with data mesh and data product operating models • Preferred: experience selling generative AI or agentic AI engagements that reached production • Preferred: familiarity with AI governance and responsible AI requirements • Preferred: partner sales certifications or accreditations from a hyperscale or data platform vendor
• Total compensation includes base salary, sales rewards & commission plan, and RSU's • Fully remote work arrangement • Travel required up to 50% on average (up to 70% stated in the location section) • Compensation may exceed the posted range for higher-cost zones such as California, New York, and New Jersey
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