Role Summary

Configure, customize, and support Salesforce as the organization's core sales and customer engagement platform — covering lead management, sales pipeline, and after-sales service across master-community property developments — translating real-estate sales requirements into scalable Salesforce solutions.

Key Responsibilities

- Gather requirements from sales, marketing, and customer-service teams and design Salesforce solutions
- Build and maintain automations (Flow, Apex triggers where needed) for lead routing, approvals, and booking workflows
- Configure integrations between Salesforce and ERP, payment, document e-signature, and AI/chat systems
- Manage data model, security model, and sandbox-to-production deployments (SFDX/Change Sets)
- Support UAT, troubleshoot production issues, and maintain solution documentation
- Advise stakeholders on Salesforce best practices, release management, and platform roadmap
- Support reporting/dashboards for sales pipeline, unit inventory, and conversion metrics

Tech Stack

- Salesforce clouds: Sales Cloud, Marketing Cloud, Service Cloud, Experience Cloud (buyer portal)
- Salesforce Einstein: Einstein Lead/Opportunity Scoring, Einstein Case Classification, Einstein Bots, Einstein for Marketing Cloud
- Automation: Flow, Apex triggers, Process Builder (legacy), Validation Rules
- Development/deployment: SFDX, Change Sets, Gearset/Copado, Git-based version control
- Integration: REST/SOAP/Bulk APIs, MuleSoft or middleware, Salesforce Connect
- Reporting: Salesforce Reports/Dashboards, CRM Analytics (Tableau CRM) where applicable
- Identity/security: SSO, permission sets, sharing rules, field-level security

Cutting-Edge AI Skills

- Salesforce Einstein (mandatory): predictive lead/opportunity scoring, Einstein Case Classification/Recommendations, Einstein Bots, generative case summaries




- Configuring and tuning Einstein features against real sales/service data (feature selection, model activation, scoring review)
- Supporting integration of external LLM-based assistants into Salesforce (case summarization, lead qualification)
- Using AI-assisted tools to accelerate Flow/Apex development and documentation

Business Domain Exposure

- The organization is a large-scale master real estate developer delivering mixed-use residential, commercial, and hospitality communities across multiple master-planned developments, alongside affiliated retail, wellness/fitness, food & beverage, hospitality, education, and property-management operating brands.
- Configuring Salesforce for real-estate sales: lead-to-booking pipelines, unit reservation, payment-plan tracking
- After-sales service processes for handover, snagging, and customer care across master communities
- Integrating Salesforce with ERP for invoicing/payment milestones and with buyer portals for self-service
- Supporting cross-sell into retail, wellness, and hospitality operating brands where relevant

Must-Have Requirements

- Hands-on Salesforce configuration experience (Flow, validation rules, permission sets)
- Proven experience with Sales Cloud, Marketing Cloud, AND Service Cloud (all three required)
- Mandatory: hands-on Salesforce Einstein experience (lead/prospect scoring, case classification, or Einstein Bots)
- Understanding of Salesforce data model, security, and sharing rules
- Experience with deployment tools (Change Sets, SFDX, Gearset, or similar)
- Salesforce Administrator certification or equivalent hands-on experience

Nice to Have

- Apex/LWC development experience
- Salesforce Platform Developer, Advanced Admin, or Einstein/AI Specialist certification
- Experience integrating Salesforce with ERP or AI/LLM tooling
- Real-estate or property-sales Salesforce implementation experience

Pay: ₹110,000.00 - ₹160,000.00 per month

Experience:

- Hands-on Salesforce configuration: 8 years (Preferred)

Work Location: In person

📌 Salesforce Consultant (India)
🏢 Unisonal Accounting Solutions
📍 India