Forward Deployed Engineer

SnapLogic

56d • $150,000 - $200,000

About The Position

As a Forward Deployed Engineer at SnapLogic, you will be a trusted technical advisor to our customers on their AI journey. Working alongside our Director, AI Center of Excellence, you will bring a value-first mindset and genuine comfort operating in the ambiguity inherent to most enterprises. This role centers on helping customers understand where SnapLogic fits to deliver real business outcomes — and proving it. You will build a deep understanding of a customer's landscape to uncover pilot use cases that demonstrate measurable value against clear KPIs, while identifying expansion opportunities that grow our footprint over time. Partnering closely with our Enterprise Account teams — spanning both Pre-Sales and Post-Sales — to guide customers from an ambiguous idea of what's possible, through a proven pilot, to sustained adoption. Because AI capability sits on a spectrum you will clearly present the benefits and trade-offs of various approaches, operating as a peer to senior leaders and executives to ensure they make confident, well-informed strategic decisions.

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.

Nice To Haves

• 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

• Comprehensive benefits package

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed