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SnapLogic

iPaaS for data and application integration

Forward Deployed Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • Experience in a customer-facing, hands-on advisory role such as Solutions Architect, Sales Engineer, Field Chief Technology Officer, or a similar role working with enterprise customers.
  • Experience building working prototypes and solutions under ambiguity without fully specified requirements.
  • Experience with enterprise data and application integration, and an understanding of orchestration and agentic workflows in that landscape.
  • Understanding of artificial intelligence and large language model concepts, including prompt engineering, governance, model selection, tool and function design, and cost-to-performance trade-offs.
  • Understanding of evolving artificial intelligence governance and compliance requirements and their implications for solution design and deployment.
  • Ability to communicate across deep technical discussions and executive-level business-value conversations.
  • Ability to coordinate across Pre-Sales, Post-Sales, Product, and Engineering to deliver outcomes.

Responsibilities

  • Partner with customers to understand their businesses and uncover high-value artificial intelligence use-case opportunities.
  • Demonstrate progress through iterative prototyping before a solution is finalized.
  • Lead high-stakes briefings and translate complex artificial intelligence concepts, including agentic architectures, into strategic business imperatives, return on investment, and risk mitigation.
  • Support the account team in building business cases and establishing baseline key performance indicators to prove success.
  • Navigate complex enterprise matrices and align engineers, C-suite executives, and other stakeholders around a shared technical vision.
  • Identify operational inefficiencies through customer engagement and discovery.
  • Apply industry artificial intelligence judgment to customer conversations, including prompt engineering, large language model selection, tool design, and cost control.
  • Feed field learnings back to internal teams to shape the product roadmap.
  • Recognize recurring deployment patterns and share playbooks with the wider team.
  • Maintain current knowledge of developments in artificial intelligence.
  • Help customers understand the value of data, application integration, Model Context Protocol, and agentic workflow orchestration.
  • Guide customers from ambiguous ideas through proven pilots to sustained adoption and identify expansion opportunities.

Desired Qualifications

  • Hands-on programming experience with Python or JavaScript/Node.js for rapidly building and iterating on artificial intelligence prototypes.
  • Familiarity with agentic frameworks such as LangChain or LlamaIndex, or with the Model Context Protocol.
  • Prior experience with enterprise integration platforms or integration-platform-as-a-service products.
  • Experience deploying artificial intelligence or software solutions on AWS, Google Cloud Platform, or Microsoft Azure.

About the Company

SnapLogic

iPaaS for data and application integration

SnapLogic provides a cloud-based integration platform that helps businesses connect apps, data sources, and APIs. It offers self-service, no-code and low-code tools so users can design and automate data and application integrations without deep programming knowledge. The platform operates as an iPaaS (integration platform as a service), enabling application integration, data integration, and API management to move data to the cloud, automate workflows, and create scalable APIs. Compared with competitors, SnapLogic emphasizes user-friendliness and a broad, unified toolset for both data and application integration along with API management, targeting a wide range of enterprises and mid-sized firms across industries with a subscription-based model. Its goal is to accelerate digital transformation by simplifying integration, enabling organizations to connect disparate systems, automate processes, and mobilize data to the cloud at scale.

Company size
201-500
Company stage
Series H
Total funding
$373.3M
Headquarters
San Mateo, CA
Founded
2006

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