Maven Agi Senior Solutions Engineer at Maven AGI driving adoption of AI-powered customer support solutions through technical demos, solution design, and customer engagement. Acts as a trusted advisor and leads proof-of-concept engagements.
Responsibilities
Technical Demonstrations: Lead compelling technical demos and proof-of-concept exercises that guide prospects through the art of the possible with AI-powered customer support.
Solution Design & Scoping: Partner with sales to translate customer requirements into tailored solutions, scoping engagements that address specific pain points and deliver measurable ROI.
Customer Discovery: Engage directly with customers—from VPs of Support to CTOs—to understand their business goals and technical requirements, acting as a trusted advisor throughout the sales cycle.
POC Ownership: Run proof-of-concept engagements as the primary technical resource, ensuring successful outcomes that build confidence and drive deals forward.
Implementation Planning: Build clear implementation plans that capture requirements, define scope, and enable smooth handoffs to Forward Deployed Engineers and post-sales teams.
Demo Development: Build and modify demo applications using AI-assisted development tools to showcase product capabilities and support customer-specific use cases.
Feedback Loop: Gather insights from customer interactions to inform product development and improve our offerings.
Qualification
Obsessively CuriousTechnically FluentBroad AI/LLM UnderstandingSales-Focused MindsetConfident CommunicatorThrives in AmbiguityCustomer-CentricTechnical RequirementsFoundational understanding of SDLCExperience with ETL tools
Required
Obsessively Curious: You tinker with things until you understand them. You're a self-starter who thrives when there's no playbook.
Comfortable with AI-Assisted Development: You regularly use tools like Claude Code, Cursor, or GitHub Copilot. You can understand what code does at a high level and leverage AI to build functional demos and prototypes.
Technically Fluent: Comfortable with NodeJS/NextJS/TypeScript stack. Foundational knowledge of software development lifecycle, cloud infrastructure, and basic security concepts.
Broad AI/LLM Understanding: You understand how enterprise AI solutions work (RAG, embeddings, knowledge retrieval) at a conceptual level, with the ability to learn depth on the job.
Sales-Focused Mindset: Previous experience in sales engineering or pre-sales, with a track record of supporting successful sales outcomes.
Confident Communicator: Comfortable presenting technical content to audiences with more experience and seniority than you. You become the product expert in the room.
Thrives in Ambiguity: You can prioritize effectively when facing competing demands with limited guidance. You're comfortable making decisions without a playbook.
Customer-Centric: Strong interpersonal skills with the ability to build relationships and influence decision-makers at all levels.
Technical Requirements
Familiarity with NodeJS/NextJS/TypeScript (primary stack)
Regular use of AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, etc.)
Foundational understanding of SDLC, CI/CD, and development workflows
Preferred
Experience with ETL tools, and data integration solutions
Background in customer support operations or CX technology
Experience with platforms like Salesforce, Zendesk, or Freshdesk
