Solutions Engineer
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Job Description
Solutions Engineer leading technical enterprise deals for TinyMCE’s AI-powered content creation and rich text editing platform. Building the company’s sales engineering motion, demos, POCs, and technical playbooks.
Responsibilities:
- Lead the technical side of complex deals, mainly TinyMCE AI and strategic enterprise opportunities for the core editor
- Work alongside Account Executives, Account Managers, and Product Managers
- Lead technical discovery across customer architecture, content workflows, integration requirements, and AI ambitions
- Act as a trusted technical advisor and help customers evaluate architecture choices
- Deliver tailored, use-case-driven demos
- Own the technical win from discovery through architecture, security review, and sign-off
- Translate technical capabilities into business outcomes
- Establish evaluation criteria and lead disciplined POCs with defined success criteria, outcomes, timelines, and checkpoints
- Guide build-versus-buy and competitive evaluations
- Explain AI architecture, including user experience, orchestration, underlying models, LLM APIs, RAG, model choice, data privacy, and security
- Partner with AEs and AMs to turn technical differentiation into business cases
- Build reusable demo and discovery frameworks, POC processes, and competitive playbooks
- Provide structured customer and competitive feedback to Product and Engineering
- Enable AEs and AMs to handle first-level technical and AI discovery independently
Requirements:
- 5+ years in technical pre-sales (Solutions Engineer, Sales Engineer, or Solutions Architect) at a B2B SaaS company, ideally selling to developers or product teams
- A consultative, solutions-first mindset
- Experience mapping a customer's content workflows end to end and designing proposed solutions
- Experience winning complex, multi-stakeholder enterprise evaluations and running structured POCs
- Technical fluency with JavaScript, modern front-end frameworks, APIs, SDKs, and integration patterns
- Working knowledge of modern AI architecture, including LLM APIs, orchestration, RAG, model selection, data privacy, and security
- Ability to connect technical decisions to measurable business value
- Strong communication across audiences, from engineers and architects to senior business leaders
- Judgment and initiative to succeed while establishing the playbook
Benefits:
- Extra paid leave and dedicated funds to pursue personal development (up to 5 days and $1500 a year based on tenure)
- Competitive medical, retirement and PTO benefits
- Fully remote work environment
- Access to a mental health and wellbeing platform with 24/7 dedicated psychological support
- Targeted programs to promote wellness
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