Solution Consultant

Rhapsody•Los Angeles, CA

About The Position

Rhapsody is seeking a strategic, consultative professional to drive growth across its healthcare integration and interoperability solutions. The role identifies and qualifies integration opportunities, understands customers’ interoperability challenges, and develops tailored solution strategies that demonstrate the value of Rhapsody’s platform. Solutions may address legacy interface modernization, API-driven data exchange, and standards-based messaging such as HL7 and FHIR. The Solution Consultant leads collaborative discovery with healthcare stakeholders, translating clinical, operational, and technical goals into integration strategies. As a trusted advisor and product champion, this person aligns the platform’s capabilities with customer requirements to support adoption, streamline complex data workflows, and strengthen Rhapsody’s position in the interoperability marketplace. Rhapsody describes itself as an AI-first company and expects team members to adopt AI tools, explore ways to improve efficiency and innovation, and maintain standards for quality, security, and ethical responsibility. The role includes using AI tools in daily workflows and developing reusable prompts and patterns.

Requirements

  • At least 5 years of experience in technical business analysis, sales engineering, or pre-sales solutions roles.
  • Bachelor’s degree or advanced degree.
  • Deep knowledge of SaaS, cloud, integrations, and middleware.
  • Proven experience with complex SaaS enterprise pre-sales and post-sales.
  • Familiarity with a consultative sales approach.
  • Experience working with large customer IT delivery teams, procurement, and CIOs.
  • Understanding of healthcare industry professionals’ perspectives and the value of technology in patient care delivery.
  • Ability to tell a compelling story that connects a solution to a prospect’s problem in written, visual, and verbal formats.
  • Proven experience designing and delivering value-based demonstrations that emphasize customer business outcomes, quantify impact, and connect each demonstrated capability to a specific customer challenge.
  • Team-oriented and results-driven.
  • Daily, hands-on experience using AI tools such as ChatGPT, Gemini, Claude, Cursor, or Replit to accelerate discovery preparation, account research, demo builds, and RFP responses.
  • Ability to rapidly build AI-assisted prototypes, custom demos, or proof-of-concept workflows using AI coding assistants and low-code/no-code tools.
  • Working knowledge of large language models and AI agents, including prompt engineering, retrieval-augmented generation (RAG), and agentic workflows.
  • Familiarity with emerging AI interoperability standards such as MCP and with how AI agents securely access healthcare data through APIs and FHIR.
  • Ability to explain AI capabilities, limitations, and risks—including data privacy, HIPAA, security, governance, and accuracy—to technical and executive audiences.
  • Track record of introducing tools, processes, or ideas that measurably improved team work, sales, or customer service.
  • Curiosity and commitment to continuous learning about AI developments and translating them into customer value.

Nice To Haves

  • Deep knowledge and experience with integration engine software, use cases, varied message formats, and configuration options.

Responsibilities

  • Develop and assist in delivering high-impact presentations and product demonstrations to potential customers, including executives and technical and IT stakeholders.
  • Position and sell the value of the platform.
  • Assist with discovery calls, product demonstrations, and solution exploration.
  • Develop and maintain a high level of functional understanding of the platform.
  • Participate in meetings with senior internal communication and digital experience executives.
  • Recommend product fit and provide best-practice input for opportunities.
  • Help account executives customize and optimize competitive positioning for key sales opportunities.
  • Liaise with product management, product marketing, technical solutions, and technical services teams.
  • Transfer knowledge to customer success teams during onboarding kickoffs.
  • Lead selection of proof-of-concept programs with large enterprise prospects.
  • Assist with responses and positioning for RFPs and RFIs.
  • Maintain relationships with decision-makers in existing accounts and expand relationships across levels and departments.
  • Uncover sales opportunities through consultative collaboration with existing customers and build relationships with potential clients.
  • Partner with marketing on corporate initiatives related to product and service introduction and adoption.
  • Represent the company at trade shows, technology forums, and other events to build relationships and brand awareness.
  • Integrate AI tools into daily workflows by default, including for tasks such as preparation, prototyping, testing, debugging, and RFP responses; develop reusable prompts and patterns.
  • Improve efficiency and output quality by combining AI with real-world signals and iterating on workflows to reduce rework and increase delivery speed.

Benefits

  • Health coverage.
  • Retirement savings.
  • Paid time off.
  • Other programs designed to support overall well-being.
  • Commission program with target variable compensation of $40,000 based on achievement of sales quota.
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