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Salesforce Solution Engineer, RCA & RCB

Job in Worcester, Worcester County, Massachusetts, 01601, USA
Listing for: NeuraFlash
Full Time position
Listed on 2026-10-26
Job specializations:
  • Sales
    Sales Engineer, Technical Sales, SaaS Sales, CRM Systems & Management
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Position: Salesforce Solution Engineer,  RCA & RCB

Why Neura Flash, Part Of Accenture

Neura Flash, a part of Accenture, is redefining the future of business through AI and groundbreaking technologies like Agentforce. We integrate Salesforce Einstein, Service Cloud Voice, Amazon Connect, and more to revolutionize workflows, elevate customer experiences, and deliver tangible results. We are a leader in AI innovation and have pioneered generative AI and AI agents. Our partnership as the exclusive private‑beta partner for Salesforce Agentforce and Salesforce’s #1 partner for Agentforce underscores our role at the forefront of this transformative space.

Join a high‑flying and fast‑growing Salesforce partner as a Senior Salesforce Revenue Cloud Advanced & Billing Solutions Engineer. You will drive pre‑sales, customer success, and technical excellence for Salesforce Revenue Cloud Advanced/Billing, Sales Cloud, and Agentforce autonomous AI agents.

Responsibilities
  • Practice Leadership
    :
    Lead Revenue Cloud/Billing & AI Sales within the Solutions Engineering practice, developing strategies, mentoring team members, and establishing best‑in‑class pre‑sales processes.
  • Go‑to‑Market Execution
    :
    Drive go‑to‑market efforts and position the firm as a premier partner for modern Salesforce Revenue Cloud Advanced/Billing, Sales Cloud, and Agentforce autonomous AI deployments.
  • Pre‑Sales Excellence
    :
    Lead deep‑dive pre‑sales discovery sessions, gather complex billing/monetization requirements, and deliver compelling, value‑driven demonstrations of modern Revenue Cloud capabilities (Salesforce CPQ, Subscription Management, multi‑attribute pricing engines).
  • AI & Sales Transformation
    :
    Architect comprehensive deal cycles that transcend core CPQ, incorporating Sales Cloud and Agentforce Sales/SDR agents to showcase how autonomous AI can automate pipeline generation, qualify leads, and streamline the entire quoting lifecycle.
  • Scoping & SOWs
    :
    Develop and deliver highly technical proposals, solution architectures, and Statements of Work (SOWs), ensuring scoping accuracy and market competitiveness.
  • Cross‑Functional Bridge
    :
    Act as the technical liaison between sales, delivery, and product teams—streamlining customer sales responses, product improvements, and solution designs.
  • Product Innovation
    :
    Support product innovation by providing real‑world field feedback to Salesforce product managers regarding Revenue Cloud features, Sales Cloud enhancements, and Agentforce behavior.
  • Continuous Learning
    :
    Stay at the forefront of Salesforce ecosystem innovations, product releases, and next‑generation autonomous AI capabilities to drive creative solutions for our clients.
Desired Experience
  • 5+ years of selling, architecting, or implementing modern Quote‑to‑Cash or billing solutions, specifically Salesforce Revenue Cloud (CPQ & Subscription Management) or equivalent platforms.
  • 2+ years of Pre‑Sales/Solutions Engineering experience, including leading discovery, designing complex architecture blueprints, and responding to technical RFPs/RFIs.
  • Deep knowledge of Salesforce Core, including Sales Cloud (Pipeline Management, Forecasting) and the underlying platform architecture.
  • Experience or deep familiarity with Agentforce (or Salesforce Einstein 1 Platform), including configuring prompt templates, actions, and autonomous guardrails for SDR/Sales use cases.
  • Education:

    BS in Computer Science, Information Systems, Engineering, or related field (or equivalent practical experience).
Skills & Technical Knowledge
  • Expert understanding of modern revenue models: usage‑based billing, evergreen subscriptions, consumption structures, and unified revenue workflows.
  • Strong hands‑on architectural knowledge of Salesforce Revenue Cloud, product catalogs, pricing engines, and API‑led integration best practices with ERP…
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