2 days ago
Mexico City, MexicoSenior
Responsibilities
- Scope revenue-operations use cases with the AI Product Manager and sales organization, define success metrics, and ship working prototypes within days.
- Build, test, harden, or retire AI agents, reusable skills, prompts, and workflow templates based on real-user value.
- Connect agents to CRM, CPQ, billing, bookings, data warehouses, product telemetry, support cases, knowledge bases, and external business data.
- Use MCP servers, APIs, webhooks, OAuth, and connectors to provide governed, permission-aware access to enterprise data.
- Design retrieval workflows involving document stores, chunking, embeddings, and vector search.
- Translate business and sales problems into scoped technical solutions and explain trade-offs to non-technical leaders.
- Build lightweight user interfaces such as Streamlit, React, Slack apps, or Teams apps when needed.
Requirements
- At least 5 years of experience in software engineering, data engineering, solutions engineering, or a similar hands-on technical role, including 2 years building LLM-powered applications or agents.
- At least five AI agents or LLM workflows shipped for real business users on real data.
- Strong Python and SQL skills, with comfort using REST APIs, webhooks, OAuth, JSON, and at least one cloud platform.
- Hands-on experience with at least three agentic or skill-building platforms, such as Salesforce Agentforce, Microsoft Copilot Studio, Google Gemini Enterprise, Anthropic Claude, OpenAI, or LangGraph.
- Experience connecting AI systems to enterprise data, including CRM, data warehouses, document stores, and third-party APIs.
- Practical knowledge of evaluation, prompt and context design, tool calling, retrieval design, prompt injection, and over-permissioned tools.
- Excellent verbal and written English communication skills.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
- Preferred: Revenue Operations, Sales Operations, or GTM Systems experience at an enterprise software company.
- Preferred: Salesforce data models, CPQ or quote-to-cash processes, MCP server operation, integration and automation platforms, conversation intelligence, enrichment providers, enterprise search, lightweight frontend development, and hybrid cloud infrastructure concepts.
Benefits
- Hybrid work arrangement with remote and in-person collaboration; employees in applicable locations are expected to work onsite at least 3 days per week.
- Workplace type and team-specific expectations may vary by location and team.
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About Nutanix
Nutanix is a global leader in cloud software, offering organizations a single platform for running apps and data across clouds. With Nutanix, companies can reduce complexity and simplify operations, freeing them to focus on their business outcomes. Building on its legacy as the pioneer of hyperconverged infrastructure, Nutanix is trusted by companies worldwide to power hybrid multicloud environments consistently, simply, and cost-effectively. Learn more at www.nutanix.com or follow us on social media @nutanix.