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Infoblox

Manages DNS, DHCP, IPAM with security

Senior GTM AI Solutions Consultant

AI Application EngineeringUpdated on Nov 14
Full-timeMexico City, CDMX, MexicoNo salary listed

About the Job

Requirements

  • At least 5 years of experience in software engineering, AI solution development, business applications, automation, Revenue Operations, Business Operations, Analytics, or a related field.
  • Hands-on experience building and deploying AI agents, assistants, large language model-powered workflows, or comparable enterprise automation solutions.
  • Expertise with enterprise AI platforms such as Claude, Glean, OpenAI, Gemini, or similar tools.
  • Strong understanding of large language models, prompt engineering, agent workflows, tool calling, Model Context Protocol, retrieval-augmented generation, evaluation, and responsible AI practices.
  • Experience integrating applications and data through APIs, connectors, webhooks, or similar technologies.
  • Familiarity with Salesforce and business-to-business sales, marketing, customer success, or broader go-to-market processes.
  • Experience taking AI solutions from prototype to production, including testing, monitoring, security review, governance, and performance improvement.
  • Ability to translate ambiguous business needs into practical solutions and communicate technical concepts clearly to business audiences.
  • Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, Data Science, Business Analytics, or a related field; equivalent hands-on technical experience may be considered.

Responsibilities

  • Partner with Sales, Marketing, Customer Success, and Revenue Operations teams to identify high-value opportunities where AI can improve productivity, decision-making, pipeline management, forecasting, customer engagement, and operational efficiency.
  • Design, build, test, and deploy AI agents, assistants, and workflow automations using approved enterprise AI platforms such as Claude, Glean, OpenAI, Gemini, or comparable tools.
  • Translate business requirements into reliable AI-powered solutions that address go-to-market challenges and reduce administrative friction.
  • Develop account intelligence, sales productivity, pipeline management, forecasting, content generation, knowledge retrieval, and customer engagement solutions.
  • Extend enterprise AI platforms through APIs, connectors, Model Context Protocol, tool calling, and custom development when required.
  • Integrate Salesforce and other go-to-market applications, data sources, and enterprise systems to support secure, connected workflows.
  • Apply prompt engineering, retrieval-augmented generation, structured outputs, evaluation methods, and human-in-the-loop controls to improve solution quality and reliability.
  • Own solutions from discovery and prototyping through production deployment, adoption, monitoring, and continuous improvement.
  • Establish testing, monitoring, documentation, and feedback practices that measure accuracy, usability, adoption, cycle-time reduction, quality improvement, and capacity returned.
  • Ensure AI solutions comply with security, architecture, privacy, data governance, and responsible-use standards.
  • Establish trusted partnerships with key Sales, Marketing, Customer Success, Revenue Operations, Information Technology, Security, and Data stakeholders.
  • Complete a prioritized inventory of go-to-market AI opportunities and define measurable success criteria for the highest-value use cases.
  • Deliver and launch initial AI agents, assistants, or workflow automations that improve productivity, decision-making, or operational efficiency.
  • Implement foundational testing, monitoring, documentation, governance, and user-feedback practices for production solutions.
  • Demonstrate measurable improvements such as reduced cycle time, improved quality, increased adoption, or capacity returned.
  • Scale a portfolio of reliable AI solutions across the global go-to-market organization.
  • Establish repeatable practices for AI discovery, prioritization, development, deployment, adoption, measurement, and continuous improvement.
  • Integrate AI solutions more deeply with Salesforce and other core go-to-market platforms to support account intelligence, pipeline management, forecasting, and customer engagement.
  • Build strong adoption through enablement, user feedback, and continuous refinement of solutions.
  • Provide leadership with clear reporting on business value, risks, adoption, and recommendations for future AI investments.
  • Serve as a trusted technical and strategic partner for responsible AI adoption across Revenue Operations.

Desired Qualifications

  • Experience with go-to-market platforms such as Gong, Clari, or comparable revenue technology.

About the Company

Infoblox

Manages DNS, DHCP, IPAM with security

Infoblox provides networking and cybersecurity solutions focused on DNS, DHCP, and IP Address Management (DDI). Its products automate and secure how devices find names, receive IP addresses, and manage IP space, across on-premises and cloud environments. The company differentiates itself by integrating DDI with security on a single platform for enterprise customers, offering both SaaS and on-premises options plus professional services. Its goal is to give enterprises visibility, control, and automation over networks to keep connections reliable and secure in data centers and the cloud.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1999

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