Solution Consultant

Accountabilities: As a Solution Consultant, you will combine technical expertise, consultative selling, and strong customer engagement skills to support business growth and deliver impactful integration strategies. Your responsibilities will include: Develop and deliver high-impact presentations and product demonstrations for senior executives, IT stakeholders, and other decision-makers. Communicate the platform's value proposition and demonstrate how its capabilities address customer challenges and business objectives. Participate in discovery calls, product demonstrations, and solution exploration sessions to identify and qualify integration opportunities. Maintain an in-depth functional understanding of the platform and recommend solutions based on customer requirements and best practices. Collaborate with account executives to develop tailored solution strategies and strengthen competitive positioning for strategic sales opportunities. Work closely with product management, product marketing, technical solutions, and technical services teams to align customer needs with platform capabilities. Lead the selection and coordination of proof-of-concept programs with large enterprise prospects. Support the preparation of responses to Requests for Proposals (RFPs) and Requests for Information (RFIs). Facilitate knowledge transfer to customer success teams during onboarding and implementation kickoffs. Build and maintain relationships with key decision-makers across existing accounts while identifying opportunities to expand engagement into additional departments. Identify new business opportunities through consultative conversations with existing customers and relationship-building with prospective clients. Partner with marketing teams on initiatives supporting product launches, service introductions, and customer adoption. Represent the organization at industry trade shows, technology forums, and professional events to develop relationships and increase brand awareness. Integrate AI tools into daily workflows to improve discovery preparation, account research, demonstration development, and RFP responses. Build reusable AI prompts, workflows, and patterns, continuously refining them to improve productivity, quality, and delivery speed. Requirements: The ideal candidate combines strong technical knowledge, enterprise pre-sales experience, healthcare industry awareness, and a consultative approach to customer engagement. You should bring the following qualifications and capabilities: At least 5 years of experience in technical business analysis, sales engineering, pre-sales consulting, or related solution-focused roles. Bachelor's degree or advanced degree. Strong knowledge of SaaS, cloud technologies, integrations, and middleware solutions. Proven experience supporting complex enterprise SaaS pre-sales and post-sales engagements. Familiarity with consultative sales methodologies and the ability to engage effectively with enterprise IT delivery teams, procurement professionals, and CIOs. Understanding of the healthcare industry's operational environment and the role of technology in supporting patient care. Excellent storytelling and communication skills, with the ability to connect technical solutions to customer challenges through compelling written, visual, and verbal presentations. Demonstrated experience designing and delivering value-based product demonstrations that highlight business outcomes, quantify ROI, cost savings, time to value, and clinical or operational improvements. Strong collaboration skills, a results-oriented mindset, and the ability to work effectively across multidisciplinary teams. Hands-on daily experience with AI tools such as ChatGPT, Gemini, Claude, Cursor, and Replit to accelerate research, discovery preparation, demo development, and proposal responses. Ability to rapidly develop AI-assisted prototypes, customized demonstrations, and proof-of-concept workflows using AI coding assistants and low-code/no-code tools. Working knowledge of large language models (LLMs) and AI agents, including prompt engineering, retrieval-augmented generation (RAG), and agentic workflows. Familiarity with emerging AI interoperability standards, including Model Context Protocol (MCP), and how AI agents securely access healthcare data through APIs and FHIR. Ability to communicate AI capabilities, limitations, and risks clearly to technical and executive audiences, including data privacy, HIPAA compliance, security, governance, and accuracy considerations. Demonstrated innovation through the introduction of tools, processes, or ideas that have measurably improved team performance, sales effectiveness, or customer service. Natural curiosity, adaptability, and a commitment to continuous learning, particularly regarding emerging AI technologies and their practical business applications. Preferred Qualifications: Strong knowledge and practical experience with integration engine software, including its use cases, message formats, and configuration options. Benefits: Annual base salary ranging from $95,000 to $130,000 USD, depending on experience, skills, and work location. Eligibility for a commission program with $40,000 in target variable compensation, based on sales quota achievement. Comprehensive healthcare coverage. Retirement savings benefits. Paid time off. Additional employee programs designed to support overall well-being.