Solutions Engineer

Posted 6hrs ago

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Job Description

Solutions Engineer leading complex technical sales for TinyMCE’s AI-powered rich text editor. Building demos, POCs, and the company’s first scalable SE motion.

Responsibilities:

  • 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:

  • 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:

  • 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