Lead Solutions Engineer

Accountabilities: Lead customer discovery sessions to uncover business challenges, desired outcomes, technical requirements, and opportunities for improvement. Create compelling, outcome-focused demonstrations and product experiences that show how an AI-powered customer platform can transform business operations. Partner with Account Executives to understand technical buying committees, assess competitive environments, and develop effective paths toward purchasing decisions. Translate complex legacy systems into streamlined, scalable solution architectures that integrate with customers' wider technology ecosystems. Design and rapidly build functional proofs of concept using AI coding tools, AI agents, and developer frameworks, with clear use cases, success criteria, and timelines. Conduct hands-on proof engagements with customers, incorporating feedback and addressing security, integration, and technical risks. Convert successful proofs into business cases, ROI models, use-case roadmaps, and consumption plans that support initial customer commitments. Present technical results and recommendations to executive stakeholders, building confidence in the proposed solution and its business value. Collaborate with customers and implementation partners to support deployment and ensure initial outcomes are achieved. Develop reusable technical resources, share field insights, and contribute feedback that informs internal playbooks and product development. Travel occasionally to customer locations to support discovery, demonstrations, proof engagements, and implementation activities. Requirements: Experience in a customer-facing solutions engineering, solutions architecture, technical consulting, or SaaS implementation role, with a demonstrated record of supporting complex deals or delivering solutions that improve business results. Strong discovery and storytelling capabilities, with the ability to translate customer objectives into compelling, outcome-driven solution visions. Skilled at uncovering unstated customer needs through thoughtful questioning, active listening, and interpreting stakeholder feedback. Hands-on experience rapidly building working solutions with AI coding tools, AI agents, and developer frameworks. Strong solution design and architecture capabilities, including experience simplifying complex legacy environments and integrating enterprise platforms. Deep understanding of APIs, integrations, and enterprise technology ecosystems, including systems such as ERP platforms, billing solutions, data warehouses, and AI tools. Business acumen to connect technical solutions with measurable outcomes, ROI models, use-case roadmaps, and consumption planning. Ability to influence executives and technical decision-makers, communicate complex concepts clearly, and equip internal champions to advocate for solutions. Strong collaboration and leadership skills, with the ability to coordinate effectively across sales teams, implementation partners, customers, and technical stakeholders. An ownership mindset, combining technical execution with a commitment to ensuring customers realize the intended value of their solutions. Benefits: Annual cash compensation range of $132,400–$189,100 USD, including base salary and applicable on-target commission or annual bonus targets. Potential eligibility for equity compensation through restricted stock units (RSUs), depending on role and compensation arrangements. Compensation packages tailored to individual skills, experience, qualifications, and other relevant factors. Access to a range of employee benefits and perks, including healthcare and other support programs. Flexible working arrangements, with opportunities to work remotely or from an office. Opportunities to build professional connections through team onboarding and in-person gatherings. Support for candidates requiring accommodations related to travel or other needs. Opportunities to contribute to an evolving technical go-to-market approach at the intersection of AI, customer solutions, and enterprise technology.