
Solutions Engineer
Posted 2 hours ago

Posted 2 hours ago
This is a fully remote position, open to applicants in Massachusetts.
• Oversee the technical aspects of intricate deals, focusing primarily on TinyMCE AI and strategic enterprise opportunities for the core editor.
• Collaborate with Account Executives, Account Managers, and Product Managers.
• Lead technical discovery regarding customer architecture, content workflows, integration needs, and AI aspirations.
• Serve as a trusted technical advisor to assist customers in evaluating architectural decisions.
• Present customized, use-case-specific demonstrations.
• Take ownership of the technical success from the discovery phase through architecture, security assessment, and final approval.
• Convert technical capabilities into tangible business outcomes.
• Define evaluation criteria and manage structured Proof of Concepts (POCs) with clear success metrics, outcomes, timelines, and checkpoints.
• Facilitate build-versus-buy decisions and competitive assessments.
• Articulate AI architecture, covering user experience, orchestration, underlying models, LLM APIs, RAG, model selection, data privacy, and security considerations.
• Collaborate with AEs and AMs to translate technical differentiation into compelling business cases.
• Develop reusable demo and discovery frameworks, POC methodologies, and competitive playbooks.
• Provide organized customer and competitive insights to Product and Engineering teams.
• Empower AEs and AMs to independently manage initial technical and AI discovery processes.
• Minimum of 5 years in technical pre-sales roles (Solutions Engineer, Sales Engineer, or Solutions Architect) within a B2B SaaS environment, preferably targeting developers or product teams.
• A consultative, solutions-oriented approach.
• Proven experience in mapping a customer's content workflows comprehensively and designing proposed solutions.
• Track record of successfully navigating complex, multi-stakeholder enterprise evaluations and executing structured POCs.
• Technical proficiency in JavaScript, contemporary front-end frameworks, APIs, SDKs, and integration strategies.
• Familiarity with modern AI architecture, including LLM APIs, orchestration, RAG, model selection, data privacy, and security.
• Capability to link technical decisions to quantifiable business value.
• Excellent communication skills across diverse audiences, from engineers and architects to senior business executives.
• Strong judgment and initiative to thrive while establishing the operational playbook.
• Additional paid leave and dedicated funds for personal development (up to 5 days and $1500 per year based on tenure).
• Competitive medical, retirement, and paid time off (PTO) benefits.
• Fully remote working environment.
• Access to a mental health and wellbeing platform offering 24/7 dedicated psychological support.
• Targeted programs designed to promote wellness.
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