2 days ago
Brasília, Brazil +3 moreSenior
Responsibilities
- Partner with the AI Product Manager and revenue teams to scope use cases, define success metrics, and ship working AI prototypes within days.
- Design and build AI agents and reusable skills across multiple agentic and skill-building platforms.
- Package recurring workflows as reusable skills, prompts, and templates for sellers and other builders.
- Connect agents to CRM, CPQ, billing, bookings, data warehouses, product telemetry, support cases, knowledge bases, and external data sources.
- Use MCP servers, APIs, and connectors to provide governed, permission-aware access to revenue data.
- Reconcile external intent, enrichment, firmographic, earnings, and news data with internal account records.
- Evaluate agent performance and address prompt injection, over-permissioned tools, and other agent-specific security issues.
- Translate sales and operations problems into scoped technical builds and communicate trade-offs to nontechnical leaders.
Requirements
- At least 5 years of experience in software engineering, data engineering, solutions engineering, or a similar hands-on technical role.
- At least 2 years of experience 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.
- Experience with REST APIs, webhooks, OAuth, JSON, and at least one of AWS, Azure, or GCP.
- 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, with retrieval design using chunking, embeddings, and vector search.
- Practical understanding of evaluation, prompt and context design, tool calling, and agent security.
- Excellent verbal and written English communication skills.
- Bachelor’s degree in Computer Science, Engineering, or Data Science, or equivalent practical experience.
- Preferred experience includes Revenue Operations, Sales Operations, or GTM Systems work; Salesforce data models; CPQ or quote-to-cash processes; MCP server operation; Workato, MuleSoft, n8n, or Power Automate; conversation intelligence; enrichment providers; enterprise search; lightweight front-end development; and hybrid cloud or infrastructure concepts.
Benefits
- Primarily remote with no specific in-office requirement, though occasional local-office attendance or travel may be required based on business needs.
Categories
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.