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Solutions Engineer
ButterCMS 🧈. Lead the technical side of complex deals, mainly TinyMCE AI and strategic enterprise opportunities for the core editor .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading technical pre-sales processes, particularly in complex enterprise evaluations and POCs, while effectively translating technical capabilities into business outcomes. Proficient in modern AI architecture and capable of guiding customers through tailored solutions that align with their content workflows and integration needs.
Highest-signal resume keywords
Technical Pre-Sales ExperienceJavaScript ProficiencyModern AI Architecture KnowledgeComplex Enterprise EvaluationsStrong Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Technical Pre-SalesJavaScriptAPIsSDKsIntegration PatternsAI ArchitectureLLM APIsRAGData PrivacySecurity
Soft Skills
Consultative MindsetJudgmentInitiativeStrong Communication
Industry Keywords
B2B SaaSEnterprise EvaluationsContent WorkflowsTechnical DiscoveryRegulated Industries
About the role
Key responsibilities & impact- Lead the technical side of complex deals, mainly TinyMCE AI and strategic enterprise opportunities for the core editor
- Partner with Account Executives, Account Managers, and Product Managers on deals
- Lead technical discovery across customer architecture, content workflows, integration requirements, and AI ambitions
- Advise customers on architecture choices and challenge assumptions when appropriate
- Deliver tailored, use-case-based 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 to technical and business audiences
- Navigate LLM APIs, RAG, model choice, data privacy, and security topics
- Build business cases with AEs and AMs for economic buyers
- Create reusable demo and discovery frameworks, POC processes, and competitive playbooks
- Bring structured customer feedback, product gaps, and competitive pressure to Product and Engineering
- Enable AEs and AMs to handle first-level technical and AI discovery independently
Requirements
What you’ll need- 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
- Consultative, solutions-first mindset
- Ability to map a customer's content workflows end to end and design 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 a playbook
- Experience as the first or an early SE for a company or product line (nice to have)
- Software engineering experience before moving into pre-sales (nice to have)
- Experience selling into regulated industries such as financial services, healthcare, or legal (nice to have)
Benefits
Comp & perks- Extra paid leave of up to 5 days based on tenure
- Dedicated personal development funds of up to $1500 a year based on tenure
- Competitive medical benefits
- Retirement benefits
- PTO benefits
- Fully remote work environment
- Access to a mental health and wellbeing platform with 24/7 dedicated psychological support
- Targeted wellness programs