FDE Voice - Italy
pTo get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. /ph3Job Category /h3pSales /ph3Job Details /h3pAbout Salesforce /ppSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. /ppReady to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. /ppSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. /ppReady to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. /ph3The Experience /h3pProduction experience required. Builder mindset non-negotiable. /ppThe FDE Voice is a hands-on Forward Deployed Engineer role with a special focus on Voice. In this role, you will work directly with customers to design, build, and deploy AI-powered voice experiences in production, using Agentforce Voice, Service Cloud Voice, and contact center telephony integrations. You will own the full delivery cycle,
from discovery and solution design to configuration, testing, and go-live, and you will be responsible for voice-specific quality, including latency, call flow logic, interruption handling, multilingual performance, and seamless escalation to human agents. You will act as a direct bridge between customers and the Voice Product team: sharing structured feedback from live deployments, raising product gaps and feature requests, contributing to roadmap discussions, and participating in early access programs and pilots to validate new capabilities in real customer environments. Working closely with customer teams, Product, and the wider EMEA South FDE team, you will turn field learnings into reusable voice patterns and assets that accelerate future deployments. /ph3What You'll Actually Be Doing /h3ulliDevelop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it. /liliDesign agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques. /liliOwn technical components end-to-end: from architecture choice to deployed, validated, and observable in production. /liliBuild and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline,
and validate the output. /liliBuild and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes. /liliContribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months. /liliCo-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before. /liliSurface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop. /liliPartner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship. /li /ulh3You're Our Person If... /h3ulliYou have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models. /liliYou have a degree in Computer Science or a related field /liliYou have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) - this is a requirement, not a nice-to-have. /liliYou're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex - and willing to add to that list as the work demands. /liliYou've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change. /liliYou understand data modelling, APIs, and integration patterns deeply enough to design them, not just consume them. /liliYou can hold your own in a room with sales teams and customer architects. /liliYou ship quality code and evaluate AI outputs with engineering rigour. /liliYou actively tinker wi /li /ul #J-18808-Ljbffr
from discovery and solution design to configuration, testing, and go-live, and you will be responsible for voice-specific quality, including latency, call flow logic, interruption handling, multilingual performance, and seamless escalation to human agents. You will act as a direct bridge between customers and the Voice Product team: sharing structured feedback from live deployments, raising product gaps and feature requests, contributing to roadmap discussions, and participating in early access programs and pilots to validate new capabilities in real customer environments. Working closely with customer teams, Product, and the wider EMEA South FDE team, you will turn field learnings into reusable voice patterns and assets that accelerate future deployments. /ph3What You'll Actually Be Doing /h3ulliDevelop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it. /liliDesign agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques. /liliOwn technical components end-to-end: from architecture choice to deployed, validated, and observable in production. /liliBuild and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline,
and validate the output. /liliBuild and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes. /liliContribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months. /liliCo-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before. /liliSurface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop. /liliPartner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship. /li /ulh3You're Our Person If... /h3ulliYou have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models. /liliYou have a degree in Computer Science or a related field /liliYou have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) - this is a requirement, not a nice-to-have. /liliYou're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex - and willing to add to that list as the work demands. /liliYou've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change. /liliYou understand data modelling, APIs, and integration patterns deeply enough to design them, not just consume them. /liliYou can hold your own in a room with sales teams and customer architects. /liliYou ship quality code and evaluate AI outputs with engineering rigour. /liliYou actively tinker wi /li /ul #J-18808-Ljbffr