snaplogic - Forward Deployed Engineer
Requirements
• Experience in a customer-facing, hands-on advisory role e.g., Solutions Architect, Sales Engineer, Field CTO, or a similar hands-on advisory role working with enterprise customers. • Exceptional executive presence, with the gravitas to tactfully challenge assumptions, guide C-level decision-making, and command a room. • A track record of building working prototypes and solutions under ambiguity, without waiting for fully specified requirements. • Experience with enterprise data and application integration, and an interest in how orchestration and agentic workflows fit into that landscape • Solid understanding of AI/LLM concepts, including prompt engineering, governance, model selection, tool/function design, and cost to performance trade-offs. • An understanding of how AI governance and compliance requirements are evolving, and what that means for how solutions get designed and deployed • Genuine excitement for the current shift in AI and want to be hands-on in shaping how enterprises adapt. • Strong communication skills, with the ability to move fluidly between deep technical discussions and executive-level business-value conversations. • A collaborative mindset with a proven ability to coordinate across Pre-Sales, Post-Sales, Product, and Engineering to deliver outcomes. • Curiosity and empathy for how businesses actually operate and the people navigating change inside them. • Hands-on programming experience (e.g., Python, JavaScript/Node.js) for rapidly building and iterating on AI prototypes. • Familiarity with agentic frameworks (e.g., LangChain, LlamaIndex) or the Model Context Protocol (MCP). • Prior experience with enterprise integration platforms (iPaaS). • Experience deploying AI or software solutions on major cloud platforms (AWS, GCP, Azure).
Responsibilities
• Identify Opportunities: Partner with customers to build a deep understanding of how their business and uncovers high-value AI use case opportunities. • Build Momentum: Demonstrate progress early and often through iterative prototyping, showing value well before a solution is finalized. • Drive Execution Consensus: Lead high-stakes briefings, effectively translating complex AI concepts (like agentic architectures) into strategic business imperatives, ROI, and risk mitigation. • Prove Value: Support the account team in building compelling business cases and eliciting the baseline KPIs needed to prove success. • Translate Complexity: Navigate complex enterprise matrices to align diverse stakeholders - from hands-on engineers to C-suite executives - around a shared technical vision. • Uncover Friction: Bring genuine curiosity to every engagement, asking the questions that reveal operational inefficiencies others miss • Apply Best Practices: Bring industry AI judgement into customer conversations, including prompt engineering, LLM selection, tool design, and cost control. • Shape the Product: Feed learnings from the field back to our internal teams to shape SnapLogic's product roadmap. • Create Playbooks: Recognize recurring deployment patterns and share them with the wider team to make successful approaches repeatable. • Stay Cutting-Edge: Maintain deep, current knowledge of the latest developments in AI • Evangelize SnapLogic: Help customers understand our capabilities — including data, application integration, MCP, and agentic workflow orchestration — and where each drives value.
Benefits
• There's never been a better time to join our SnapSquad!
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