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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 B2B SaaS environments, with a focus on AI architecture and integration. Capable of translating complex technical capabilities into business outcomes while guiding customers through evaluations and POCs.
Highest-signal resume keywords
Technical Pre-Sales ExperienceJavaScript ProficiencyModern AI Architecture KnowledgeComplex POC ManagementStrong 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
JavaScriptAPIsSDKsIntegration PatternsAI ArchitectureLLM APIsRAGData PrivacySecurity ReviewContent Workflow Mapping
Soft Skills
Consultative MindsetJudgmentInitiativeCommunication Across Audiences
Industry Keywords
B2B SaaSSolutions EngineerSales EngineerSolutions ArchitectEnterprise Evaluations
About the role
Key responsibilities & impact- 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
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
- 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
Comp & perks- 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