Full-Time

Lead Forward Deployed Engineer

Posted on 9/10/2026

Salesforce

Salesforce

10,001+ employees

Cloud-based CRM platform with subscriptions

Compensation Overview

€70.4k - €94.2k/yr

+ Incentive component

Milan, Metropolitan City of Milan, Italy

In Person

Travel to customer sites may be required as needed.

Bachelor's

Category
Software Engineering (1)
Required Skills
LLM
Python
JavaScript
Data Visualization
Java
TypeScript
Observability
LangChain
Data Modeling
Data Governance
DevOps
Databricks
Data Analysis
Snowflake

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Requirements
  • At least 6 years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems in enterprise AI, cloud, or Software as a Service environments.
  • A degree in Computer Science or a related field.
  • Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex, with working knowledge of the others.
  • Experience integrating large language models into production, using frameworks such as LangChain or LlamaIndex, and applying prompt engineering and responsible artificial intelligence practices in customer contexts.
  • Deep experience in data modeling, data processing, and analytics, with proficiency in Salesforce Data 360, Snowflake, or Databricks.
  • Deep Salesforce platform expertise, including Agentforce, Apex, Lightning Web Components, Flows, and Salesforce APIs.
  • Experience mentoring technical talent and creating reusable assets such as frameworks, playbooks, and internal tooling.
  • Ability to communicate with engineering peers, customer architects, and executive stakeholders.
  • Business-level proficiency in Italian and English.
  • Ability to travel to customer sites as needed to ensure client success.
Responsibilities
  • Own the end-to-end build and deployment of agentic artificial intelligence solutions for strategic customers, from architecture decisions through production handoff.
  • Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and enterprise integration patterns.
  • Own the data lifecycle, including model design, processing pipelines, and data readiness for artificial intelligence applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
  • Resolve technical blockers such as data integration failures, model deployment issues, orchestration breakdowns, and performance regressions.
  • Build and maintain agent performance dashboards and customer key performance indicator reporting to track deployment health and business outcomes.
  • Develop proofs of concept and minimum viable products quickly while determining which decisions can be deferred and which must be correct initially.
  • Codify customer-work learnings into patterns, reusable assets, and internal frameworks.
  • Mentor engineers through code reviews, pair sessions, and shared work.
  • Provide technical depth on at-risk or strategically critical deployments.
  • Surface field insights and customer-environment edge cases to Product and Engineering for the Agentforce roadmap.
  • Partner with the Deployment Strategist to translate customer business challenges into agentic solutions.
  • Pilot emerging artificial intelligence tools, experiment with new models and frameworks, and share learnings with the team and customers.
Desired Qualifications
  • Salesforce certifications such as Administrator, Platform Developer I or II, Agentforce Specialist, or System Architect.
  • Familiarity with DevOps, continuous integration and continuous delivery practices, observability tooling, or data governance frameworks.
  • Experience architecting multi-cloud, multi-system enterprise artificial intelligence solutions for Global 500 customers.
  • A track record of influencing enterprise software product roadmaps through field engineering insight.
  • Open-source contributions, published technical writing, or conference presentations.

Salesforce provides cloud-based CRM software to help organizations manage customer relationships. Its main platform, Customer 360, combines marketing, sales, service, commerce, and IT tools in one integrated suite delivered via subscription. It differentiates itself with a broad, modular product lineup, a large ecosystem of partners and training, and cloud-based updates. Its goal is to help businesses of all sizes improve customer relationships, streamline operations, and drive growth by delivering consistent, data-driven experiences across the customer journey.

Company Size

10,001+

Company Stage

IPO

Headquarters

San Francisco, California

Founded

1999

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Simplify Jobs

Simplify's Take

What believers are saying

  • Agentforce ARR topped $1.5 billion in Q2 2026, up over 240% year over year.
  • Second-quarter 2026 revenue reached $11.3 billion, with current RPO rising 14% to $33.5 billion.
  • Salesforce led HiBob’s September 1, 2026 investment, extending its HR and Slack ecosystem reach.

What critics are saying

  • February 2026 and June 2026 layoffs show AI productivity is shrinking headcount fast.
  • Claude token costs cut FY2026 operating margin guidance to 20.1%, pressuring profits.
  • Microsoft and AI-native copilots threaten CRM user interfaces, risking Salesforce becoming only plumbing.

What makes Salesforce unique

  • Salesforce’s April 2026 AgentExchange unifies AppExchange, Slack, and Agentforce.
  • Customer 360 still anchors sales, service, commerce, and IT workflows across enterprises.
  • Salesforce’s June 2026 Data 360 semantic search binds customer context to agents.

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Benefits

Health Insurance

Life Insurance

401(k) Retirement Plan

Remote Work Options

Flexible Work Hours

Parental Leave

Wellness Program

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
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Cantor Fitzgerald raised its price target on Salesforce to $300 from $250, maintaining an Overweight rating. Analyst Matthew VanVliet believes the company's open-platform strategy positions it as an early enterprise AI winner. The firm argues that AI won't displace Salesforce but will allow the company to remain the underlying enterprise platform even as customers use other models. This approach could counter fears about AI disrupting software-as-a-service businesses. However, Salesforce's recent growth isn't entirely organic. Informatica contributed approximately $456 million to second-quarter revenue, adding four percentage points to reported growth. As of the second quarter, 99 hedge funds held positions in Salesforce. The company's Agentforce ARR exceeded $1.5 billion, up more than 240% year-over-year.

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Salesforce rises 2.75% to $264 as Snowflake's AI-driven revenue surge validates enterprise spending

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The Register
Sep 3rd, 2026
Salesforce's Claude spending dents profit margin guidance as CRM giant enters 'refinement mode

Salesforce attributed its flat profit margin guidance to heavy spending on Anthropic's Claude AI model. Deputy CFO Mike Spencer told the Deutsche Bank Technology Conference that the company's operating margin is projected at 20.1% for the full year, down from 20.5% in Q2, due to Claude token costs. Spencer said Salesforce deployed Claude in its research and development cycle six months ago to accelerate product development. However, the company is now entering "refinement mode", selecting specific models for particular tasks rather than using the most advanced models for everything. The CRM giant is optimising costs across multiple AI providers, including OpenAI, Cursor, Claude, and testing X's Grok. CEO Marc Benioff previously disclosed expectations to spend $300 million with Anthropic in 2026.

Yahoo Finance
Sep 3rd, 2026
Palantir and Salesforce surge as $45B hedge fund collapses, ending software short bets

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