Salesforce Solution Engineer (Revenue Cloud)

TL;DR

Salesforce Solution Engineer (Revenue Cloud): Leading the Revenue Cloud and AI Sales practice by driving pre-sales efforts, architecting complex billing solutions, and integrating autonomous Agentforce AI agents. Focus on developing go-to-market strategies, mentoring team members, and delivering high-impact demonstrations for enterprise clients.

Location: Must be based in the United States (Boston, MA preferred; hybrid or remote options available).

Compensation: $87,400 – $266,300 USD (varies by location and experience).

Company

hirify.global, part of Accenture, is a leading Salesforce and AI innovation partner specializing in Agentforce, Service Cloud, and predictive analytics solutions.

What you will do

• Lead the Revenue Cloud/Billing and AI Sales solutions engineering practice.
• Drive go-to-market efforts for Salesforce Revenue Cloud Advanced, Sales Cloud, and Agentforce deployments.
• Conduct deep-dive pre-sales discovery sessions and gather complex monetization requirements.
• Architect and demonstrate comprehensive deal cycles incorporating CPQ and autonomous AI agents.
• Develop technical proposals, solution architectures, and Statements of Work (SOWs).
• Act as a technical liaison between sales, delivery, and product teams to streamline solution designs.

Requirements

• Work Authorization: Must be authorized to work in the United States.
• 5+ years of experience in Quote-to-Cash or billing solutions (Salesforce Revenue Cloud, Conga, Oracle CPQ, or Zuora).
• 2+ years of Pre-Sales or Solutions Engineering experience.
• Deep expertise in Salesforce Core, including Sales Cloud architecture.
• Strong understanding of modern revenue models (usage-based billing, evergreen subscriptions).
• Ability to translate complex financial and technical requirements into high-impact executive demonstrations.

Nice to have

• Hands-on experience with Agentforce or Salesforce Einstein 1 Platform.
• Experience configuring prompt templates, actions, and autonomous guardrails for AI agents.
• Technical background in Computer Science, Information Systems, or Engineering.

Culture & Benefits

• Flexible work environment with trust-based culture.
• Opportunities to work on cutting-edge generative AI and Agentforce technologies.
• Comprehensive enterprise benefits package.
• Commitment to continuous learning and career acceleration.
• Collaborative team environment with regular town halls and team celebrations.