
1001 - 5000 funcionários
💼 Consultoria
📣 Marketing
☁️ SaaS
💰 Private Equity Round em 2014-04
Consulting • Marketing • SaaS
ZoomInfo é um fornecedor líder de soluções de inteligência de mercado para profissionais de vendas e marketing. A plataforma oferece insights e análises de dados abrangentes para ajudar as empresas a identificar público-alvo, gerenciar relacionamentos com clientes e impulsionar o crescimento da receita. Ao aproveitar tecnologias avançadas e extensos bancos de dados, a ZoomInfo permite que as organizações otimizem suas estratégias de vendas e melhorem a eficiência operacional.
🕒 4 dias atrás
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $98.000 - $154.000 / ano
⏰ Tempo Integral
🟡 Pleno
🟠 Sênior
💻 Engenheiro de Soluções
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

1001 - 5000 funcionários
💼 Consultoria
📣 Marketing
☁️ SaaS
💰 Private Equity Round em 2014-04
Consulting • Marketing • SaaS
ZoomInfo é um fornecedor líder de soluções de inteligência de mercado para profissionais de vendas e marketing. A plataforma oferece insights e análises de dados abrangentes para ajudar as empresas a identificar público-alvo, gerenciar relacionamentos com clientes e impulsionar o crescimento da receita. Ao aproveitar tecnologias avançadas e extensos bancos de dados, a ZoomInfo permite que as organizações otimizem suas estratégias de vendas e melhorem a eficiência operacional.
• Collaborate with clients and internal teams to conduct technical discovery, determining the right data structure and solution design for each customer's specific use case • Serve as the primary technical representative for solution design, working closely with prospects and existing clients to map data flow from source to every downstream system • Architect AI-ready data layers — structuring, documenting, and governing data so it can be reliably consumed by AI agents, LLMs, and automated workflows, not just traditional reporting and CRM use cases • Analyze data sets to validate volumes and quality at multiple stages of a solution — what's contractually committed, what's technically achievable, and what's usable — to close gaps before they become customer issues • Design and document data matching and entity resolution approaches, reviewing results for accuracy and completeness • Leverage AI tools, large language models, and emerging protocols like MCP (Model Context Protocol) to accelerate data exploration, documentation, and solution design • Establish and maintain a consistent framework for data documentation, technical discovery, and solution architecture that can be used across the sales and delivery organization • Prepare and deliver technical presentations and workshops to both technical and executive stakeholders, translating complex data architecture into clear business value • Stay proactively engaged throughout the sales and delivery cycle, flagging scope or coverage gaps early rather than after a deal has closed
• Bachelor's degree in Computer Science, Information Systems, Business, or a related field • 5+ years of experience in data architecture, solutions engineering, or a similar technical customer-facing role, preferably within the SaaS industry • Strong data analysis skills, with the ability to query, interpret, and validate large datasets; working SQL knowledge is helpful but increasingly augmented by AI-assisted tooling • Familiarity with LLMs and AI-assisted workflows (e.g., AI query/analysis copilots, MCP-based tooling) for data exploration and solution development • Experience or strong conceptual understanding of AI-ready data layer solutioning — designing data models, schemas, and pipelines that support AI agents and automated decisioning, not just traditional BI/reporting • Familiarity with data integration methods (APIs, flat files, direct system integrations) and common downstream platforms such as CRM, marketing automation, and data warehouses • Excellent presentation skills, with a track record of successfully engaging both technical and executive-level stakeholders • Exceptional interpersonal skills and the ability to build relationships with clients and internal teams • Ability to establish structure, process, and direction, helping customers navigate technical uncertainty and move confidently forward • The ability to connect foundational GTM data strategy to AI infrastructure outcomes across the full revenue organization • Experience with ZoomInfo products or comparable go-to-market platforms is a plus • Broad range of experience within large-scale database and/or data warehouse technology and analytics is a plus but not required
• Comprehensive benefits • Holistic mind, body and lifestyle programs designed for overall well-being
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