Solutions Engineer
Posted 6hrs ago
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Solutions Engineer leading complex technical sales for TinyMCEâs AI-powered rich text editor. Building demos, POCs, and the companyâs 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














