Salesforce ARM_Agentforce Developer

AI & Modern Tooling Expertise:

Candidates must demonstrate hands-on proficiency with next-generation AI tools, LLM platforms, and Salesforce AI capabilities.

• Core AI platforms and LLMs: Claude (Anthropic), GitHub Copilot / Codex, Cursor IDE, ChatGPT-4o, Gemini Code Assist
• Salesforce AI and Agentforce layer: Agentforce Sales & Deal Desk Agents, Einstein Deal Insights, Prompt Builder (Quote AI), Revenue Intelligence AI, Einstein Opportunity Scoring, MCP (Model Context Protocol)
• Developer productivity and DevOps: Salesforce CPQ / Revenue Cloud, Salesforce Billing, Apex, LWC, SOQL, DocuSign / Conga CLM, Git, SFDX, Copado, Postman, MuleSoft REST APIs

Salesforce Cloud Expertise (ARM mandatory and any of 2 clouds below):

• Revenue Cloud (CPQ & Billing): Expert-level configuration and development across the CPQ stack, including product catalogue, bundles, pricing strategies, discount schedules, product, price and constraint rules, quote templates, multi-tier approval chains, order management, invoicing, payments, usage summaries, credit memos and revenue schedules.
• Advanced Revenue Management (ARM): Hands-on experience with Salesforce ARM for ASC 606 / IFRS 15 revenue recognition, including performance obligations, standalone selling price configuration, transaction price allocation and automated revenue schedules that withstand audit review.
• Sales Cloud: CPQ-to-Sales Cloud integration, including Opportunity Products, contract generation, order management, account hierarchy pricing and partner pricing tiers. Build AI-assisted Deal Desk workflows and approval automations.
• Service Cloud: Connect Revenue Cloud to service operations, including contract entitlements, usage-based billing alerts, automated renewal cases and Agentforce Service Agent deflection.
• Experience Cloud: Build CPQ-connected partner portals for partner quoting, deal registration, margin visibility and self-service renewal and amendment flows.
• Data Cloud & Revenue Intelligence: Unify product usage, billing, contract and CRM data to power AI-driven upsell, cross-sell, renewal risk scoring and ARR dashboards.

Industry Domain Knowledge (any one of the following):

• Hi-Tech & SaaS: Subscription pricing models, SaaS ARR/MRR/NRR metrics, co-terming, pro-ration and mid-term amendments, channel sales CPQ, and product-led growth integration.
• Healthcare & Life Sciences: Complex contracting in MedTech and Pharma, usage-based billing for medical devices and clinical SaaS, compliance considerations (AKS, Sunshine Act, government contracts), multi-site contract structures, and RFP-driven public sector pricing.

Functional Knowledge (Foundation for AI Solutions):

• Configure-Price-Quote business knowledge to build AI-assisted pricing recommendations that respect margin guardrails and survive Finance review.
• Contract lifecycle and amendment logic for co-terming, upgrades, downgrades and cancellations.
• Revenue recognition principles under ASC 606 / IFRS 15.
• Deal desk and approval governance.

Key Responsibilities:

• Design, build and configure end-to-end Salesforce CPQ implementations, including product catalogue architecture, pricing models, bundles, approval workflows and order generation.
• Develop Salesforce Billing configurations, including invoice runs, payment gateway integrations, usage summaries, credit memos and tax integrations.
• Build and maintain Salesforce ARM performance obligation templates, SSP hierarchies, revenue recognition rules and compliant schedules.
• Develop custom Apex CPQ plugins and LWC components for CPQ UI extensions.
• Use Cursor and Claude for AI-pair-programmed development of Apex plugins, pricing scripts and ERP integration connectors.
• Integrate CPQ and Billing with ERP systems (SAP, NetSuite, Oracle) via MuleSoft or REST APIs for order-to-cash automation.
• Build Agentforce-powered Deal Desk Agents for AI-assisted quote structuring, margin analysis and approval escalation.
• Implement DocuSign / Conga CLM integrations for quote-to-contract document generation and e-signature.
• Design and execute CPQ data migrations from legacy quoting systems (Apttus, Zuora CPQ, custom tools).

AI & Agentforce Specific Responsibilities:

• Build Agentforce Deal Desk Agents with CPQ-aware skills for quote structuring, upsell identification, discount guardrails and approval initiation.
• Use Einstein Prompt Builder to generate AI-authored executive summary fields on quotes.
• Expose CPQ pricing waterfall, quote configuration and approval status via MCP servers.
• Use Claude or Codex to generate CPQ Apex pricing scripts, product rule logic, constraint rules and Apex test classes.
• Integrate Revenue Intelligence AI dashboards with CPQ data to identify renewal risk, churn and expansion opportunities.
• Build AI-assisted renewal flows that identify approaching renewals, generate quotes and trigger approval and outreach.
• Implement Einstein Deal Insights integration to surface CPQ anomalies before deal desk review.

Technical Skills & Qualifications:

• Salesforce CPQ (Steelbrick), expert level
• Salesforce Billing & Revenue Schedules
• Salesforce ARM (ASC 606 / IFRS 15)
• CPQ Apex plugins & pricing scripts
• LWC custom CPQ UI components
• REST/SOAP APIs for ERP integration
• Agentforce Agent Builder
• Einstein Prompt Builder
• MuleSoft / Boomi integration
• DocuSign / Conga CLM integration
• Git, SFDX, Copado CI/CD
• Cursor / Claude AI-pair development

Nice to Have:

• Salesforce Certified CPQ Specialist or Revenue Cloud Consultant credential
• Salesforce Industries (Vlocity) Contract Lifecycle Management experience
• Zuora or Chargebee migration experience to Salesforce Billing
• Revenue Intelligence (formerly Clari) or Gong integration experience
• MEDDICC / MEDDPICC sales methodology and its CPQ data model implications
• Multi-currency, multi-entity and multi-language CPQ configuration for global enterprises

Soft Skills & Mindset:

• High commercial acumen and pricing intuition
• Precision in technical documentation and audit trails
• Challenges commercial configuration decisions constructively
• Strong Finance, Legal and Sales Ops collaboration
• Navigates complex approval hierarchies with confidence
• Identifies revenue leakage and quoting inefficiency proactively