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Salesforce

Builds cloud software for customer relationships

Forward Deployed Engineer Voice

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeMilan, Metropolitan City of Milan, Italy

About the Job

Requirements

  • At least 3 years of software engineering or technical delivery experience, including at least one production system to discuss; experience in an AI technology stack, full-stack development, or frontier models is ideal.
  • A degree in Computer Science or a related field.
  • Prior customer-facing technical delivery experience in consulting, professional services, or forward deployed engineering.
  • Fluency in at least one of Python, JavaScript/TypeScript, Java, or Apex, and willingness to learn additional languages as needed.
  • Hands-on experience with large language models and prompt engineering, including the ability to diagnose prompt failures and identify changes.
  • Deep understanding of data modelling, APIs, and integration patterns sufficient to design them.
  • Ability to work effectively with sales teams and customer architects.
  • Ability to produce quality code and evaluate AI outputs with engineering rigour.
  • Active experimentation with AI and data tools and models, and continued engagement with emerging technologies.
  • Willingness to travel approximately 25% of the time and work directly alongside customers.

Responsibilities

  • Develop AI agents and experiences that take actions for real organizations, with solutions operating in production for large enterprises.
  • Design agent intelligence, including prompts, reasoning, tool calls, and integration with customer systems, using the Agentic AI platform and current large language model techniques.
  • Own technical components end-to-end, from architecture selection through deployment, validation, and production observability.
  • Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms; model data, deliver pipelines, and validate outputs.
  • Build and maintain agent performance dashboards and customer key performance indicator reporting to track deployment health and business outcomes.
  • Contribute to proofs of concept and minimum viable products that progress from initial design to deployable solutions quickly.
  • Build solutions alongside customers and partners, sharing best practices and enablement during engagements.
  • Surface platform gaps, edge cases, and field insights to senior engineers and the product team.
  • Partner with the Deployment Strategist in the pod to translate customer business challenges into deployable agentic solutions.
  • 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.
  • Own the voice solution delivery cycle from discovery and solution design through configuration, testing, and go-live.
  • Ensure voice-specific quality, including latency, call flow logic, interruption handling, multilingual performance, and escalation to human agents.
  • Share structured feedback from live deployments with the Voice Product team, raise product gaps and feature requests, contribute to roadmap discussions, and participate in early access programs and pilots in customer environments.
  • Work with customer teams, Product, and the wider EMEA South FDE team to turn field learnings into reusable voice patterns and assets.

Desired Qualifications

  • Salesforce platform experience or certifications, including Administrator, Platform Developer I, or Agentforce Specialist.
  • Familiarity with agent frameworks such as LangChain and LlamaIndex, and orchestration patterns.
  • Hands-on experience with cloud data platforms such as Snowflake, Databricks, or BigQuery.
  • Experience in specialist AI delivery areas such as data engineering, platform architecture, or headless deployments.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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