Job Description

Company: Salesforce
Function: Solution Engineering / Pre-Sales AI
Type: Client-facing AI + Technical Consulting

🧭 Role Summary (Very Important)

This is not a pure research data scientist role.

It sits between:

Data Science + AI Engineering + Client Consulting + Sales Engineering

You will help customers adopt AI solutions using Salesforce technology.

Think of it as:

AI Solutions Architect with hands-on modeling skills

🚀 Core Responsibilities

1. AI Solution Development for Clients

• Build AI models and prototypes
• Implement AI into client workflows
• Demonstrate business value

Examples:

• Customer churn prediction
• Personalization engines
• Conversational AI
• Forecasting models

2. Client Engagement & Consulting

Work directly with:

• Sales teams
• Marketing teams
• Customers
• Product teams

You translate business problems → AI solutions.

This is a high communication role.

3. Technical Implementation

Hands-on tasks:

• Data analysis
• Model development
• Optimization
• Experiments
• Deployment guidance

4. AI Innovation & Research

• Stay updated with new AI trends
• Experiment with new algorithms
• Improve existing AI capabilities

5. Communication & Storytelling

One of the most critical parts:

Explaining AI to:

• Executives
• Business leaders
• Non-technical stakeholders

🧠 Skills They Want

Technical

• Machine learning & AI algorithms
• Data analysis
• Model optimization
• Experimentation
• Possibly Python / SQL

Business / Soft Skills (Very Important Here)

• Communication
• Client engagement
• Presentation skills
• Consulting mindset
• Stakeholder management

This role values soft skills more than most data science jobs.

⭐ Unique Nature of This Role

Compared to traditional data science:

Traditional Data Scientist	Salesforce AI Specialist
Build internal models	Build client solutions
Focus on algorithms	Focus on business impact
Limited stakeholder exposure	Heavy client interaction
Research oriented	Solution oriented
Backend work	Presentation + demos

📈 Career Path

Typical growth:

• AI Specialist
• Senior AI Specialist
• Solutions Architect
• Principal AI Architect
• AI Practice Lead / Director

This path can lead to very high salaries due to client impact.

💰 Compensation Insight (Typical Market)

At companies like Salesforce:

• Mid level: $130k – $180k
• Senior: $160k – $220k+
• With bonus + stock: can exceed $250k+

👍 Who Is This Role Perfect For?

Strong fit if you:

✅ Like talking to clients
✅ Enjoy explaining AI
✅ Want business impact
✅ Have ML knowledge but also people skills
✅ Want faster career growth

Not ideal if you:

❌ Prefer deep research only
❌ Dislike presentations
❌ Want purely coding role

🔥 Comparison With Other Roles You Shared

• Walmart Senior DS → more technical / systems
• Netflix DS → more experimentation / analytics
• SAP ML DS → more engineering
• Salesforce AI Specialist → most client-facing & consulting oriented

💡 Important Insight

Solution Engineering roles are often underrated but powerful because:

They create revenue impact → companies pay more.