Sr. Sales Engineer

What You'll Do

Architect the Demo Ecosystem

• End-to-End System Design: Design and maintain the "Gold Standard" demo environment, including the system architecture, database schemas, and API layers that power Invoca's technical storytelling.
• Full-Stack Prototyping: Build functional user interfaces and dashboards that make complex AI processes "visible" and intuitive for non-technical stakeholders.
• Scalable "Scaffolding": Create modular demo assets and "click-to-deploy" sandboxes that the broader SE team can easily customize for specific industry verticals.
• Process Automation: Use toolsets such as Gumloop, Zapier, or Workato to automate data flows between marketing touchpoints and sales outcomes.

Lead Technical Strategy

• Strategic Pre-Sales: Partner with Account Executives on high-value accounts to lead integration, technical discovery, and navigate complex technical blockers.
• High-Stakes Technical Reviews: Act as the lead architect during deep-dive technical reviews with customer CTOs and Security Officers, defending the scalability, database integrity, and security of your proposed solutions.
• AI Thought Leadership: Collaborate with Product and Engineering to ensure Invoca remains "AI-ready," acting as a feedback loop between the field and our core product developers.
• Governance & Safety: Implement "Human-in-the-Loop" checkpoints to ensure AI-generated demo content is reliable, safe, and free of hallucinations.

What You Bring

• Business Acumen: The ability to translate a dry technical architecture into a "Value Story." You understand that the best code is useless if it doesn't solve a business pain point.
• The "Multiplier" Mindset: You enjoy building tools that make other people successful. You are obsessed with documentation and reusable code.
• Experience: 5+ years in Sales Engineering, Solution Architecture, or Forward Deployed Engineering in a SaaS environment.

Nice to Have

• Full-Stack Engineering DNA: You can design a multi-tier system from the database schema up to the UI. Proficiency in Python or JavaScript/Node.js.
• Architectural Fluency: Deep understanding of RESTful APIs, Webhooks, and authentication protocols (OAuth2). You know how to connect disparate systems into a unified, automated workflow.
• Generative AI Expertise: Practical experience with LLM orchestration (RAG, Prompt Engineering) and frameworks like LangChain or LlamaIndex. You have built systems where AI does tasks via function calling/tool use.

Salary, Benefits & Perks

• Position Base Range - Salary Range $130,000-$160,000/year plus commission