Solutions Consultant

Posted 9 hours ago

This is a fully remote position, open to applicants in United States.

πŸ“‹ Description

β€’ Take charge of the technical and solution strategy for intricate sales opportunities from the initial discovery phase to validation and closure.

β€’ Conduct discovery sessions to identify business challenges, workflows, technical requirements, success criteria, decision-making factors, and potential risks.

β€’ Convert customer requirements into solution architectures that are aligned with measurable workplace and business outcomes.

β€’ Create and present customized demonstrations tailored for specific customer audiences.

β€’ Oversee technical evaluations and proofs of concept, establishing clear hypotheses, use cases, success criteria, dependencies, and decision-making paths.

β€’ Engage in enterprise architecture discussions that encompass APIs, webhooks, SSO, identity management, employee data, Microsoft 365, security, and other related systems.

β€’ Proactively identify technical risks at an early stage.

β€’ Collaborate with Product, Professional Services, Customer Success, Security, and other specialists.

β€’ Coordinate AI tools and agents for account research, preparation for discovery, demo planning, technical investigations, solution design, and customer deliverables.

β€’ Ensure the accuracy of AI-generated outputs prior to providing customer recommendations, making technical decisions, or communicating externally.

β€’ Assist customers in differentiating viable AI opportunities from mere hype and in linking capabilities to workplace results.

β€’ Oversee RFPs, RFIs, security assessments, solution diagrams, technical documentation, and implementation assumptions.

β€’ Develop reusable discovery frameworks, technical patterns, prompts, demo materials, and AI-enhanced workflows for the Solutions Consulting team.


⛳️ Requirements

β€’ A minimum of 5 years experience in Solutions Consulting, Sales Engineering, Solution Engineering, or technical consulting within the SaaS industry.

β€’ Proven experience in owning technical and solution strategy throughout intricate B2B SaaS sales cycles.

β€’ Exceptional discovery skills, including the ability to uncover business challenges, technical constraints, decision-making criteria, and desired outcomes.

β€’ A history of designing and delivering software demonstrations to business, technical, and executive audiences.

β€’ Strong technical aptitude in areas such as enterprise software, integrations, APIs, identity management, data flows, security, and solution architecture.

β€’ Capable of simplifying technical complexity into clear, relevant, outcome-focused recommendations.

β€’ Practical experience with generative AI, agentic AI, and LLM-based tools in professional settings.

β€’ Knowledge of AI tool limitations and verification needs.

β€’ Proficient in AI orchestration, with skills in defining objectives, structuring workflows, evaluating outputs, verifying assertions, and applying human judgment.

β€’ The discernment to differentiate high-value AI applications from those that may carry risks or are unnecessarily complex.

β€’ Excellent written, verbal, presentation, and storytelling abilities.

β€’ Capability to manage multiple opportunities while maintaining thoroughness, context, and customer trust.

β€’ A consultative approach and credibility with end users, technical teams, business leaders, and executives.

β€’ Experience with IWMS, workplace technology, enterprise integrations, POCs, RFPs, or technical evaluations is advantageous.

β€’ Familiarity with GraphQL APIs, webhooks, SSO/SAML, SCIM, Microsoft 365, SaaS security and privacy concepts, AI agents, or prompt design is a plus.


🏝️ Benefits

β€’ Comprehensive and competitive benefits packages available globally.

β€’ Support for health, well-being, and financial security.

β€’ Empowerment and autonomy to innovate.

β€’ Resources available to ensure your success.

β€’ Opportunities for continuous learning and professional growth.

β€’ A collaborative, results-oriented work environment.

β€’ An AI and advanced technology-enabled workplace.

β€’ A diverse and inclusive workplace culture.

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