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.