SnapLogic
iPaaS for data and application integration
Forward Deployed Engineer
Regular travel to customer sites, approximately 50% of the time, is expected.
About the job
- Experience in a customer-facing, hands-on advisory role, such as Solutions Architect, Sales Engineer, Field Chief Technology Officer, or a similar hands-on advisory role working with enterprise customers.
- Experience building working prototypes and solutions under ambiguity without waiting for fully specified requirements.
- Experience with enterprise data and application integration, with an interest in orchestration and agentic workflows.
- Solid 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 effectively across deep technical discussions and executive-level business-value conversations.
- Ability to coordinate across Pre-Sales, Post-Sales, Product, and Engineering to deliver outcomes.
- Partner with customers to understand their businesses and uncover high-value artificial intelligence use cases.
- 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 account teams in building business cases and identifying 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 discovery and questioning.
- Apply artificial intelligence industry 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 artificial intelligence developments.
- Explain SnapLogic capabilities, including data, application integration, Model Context Protocol, and agentic workflow orchestration, and where each creates value.
- Travel regularly to customer sites, approximately 50% of the time, including for discovery workshops and prototyping sprints.
- Hands-on programming experience, such as 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, including integration platform as a service.
- Experience deploying artificial intelligence or software solutions on major cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure.
About the company
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, California
Founded
2006
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Simplify's Take
What believers are saying
- Q3 2026 net revenue reached $48.6 million, up 11% quarter-over-quarter.
- July 2026 releases landed SnapGPT, SnapCode, and MCP Builder in rapid succession.
- April 2026 and April 2026 customer stories with Elida Beauty and enterprise logos validate demand.
What critics are saying
- Snowflake, Boomi, and Informatica squeeze SnapLogic’s iPaaS differentiation on enterprise budgets.
- July 2026 deprecated Classic Manager, forcing migration risk and operational friction now.
- If AI workflow adoption stalls, SnapLogic’s agentic repositioning becomes a costly feature race.
What makes SnapLogic unique
- SnapLogic unifies AI, data, applications, and agents with 1,000-plus connectors.
- July 2026 SnapGPT adds Plan Mode, execution validation, and lifecycle operations.
- SnapCode and MCP Server embed governed enterprise integration directly inside Claude Code.
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Benefits
Health Insurance
Unlimited Paid Time Off
401(k) Retirement Plan
401(k) Company Match
Paid Parental Leave
Wellness Program
Gym Membership
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 0%SnapLogic today announced that it has raised $72 million in growth financing to bolster its market leadership and accelerate global expansion. Learn more.
Three years of SnapGPT: what real enterprise use built. Published August 20, 2026 Summarize this with AI This summer, SnapLogic introduced the new SnapGPT, marking the most significant evolution of the platform since its debut in 2023. Over the last three years, SnapGPT has transformed from a straightforward prompt-to-pipeline tool into a sophisticated agentic assistant. When SnapGPT launched, generative AI was brand new, and most organizations were only beginning to explore what the technology could do. SnapLogic entered that moment with an advantage: the company had been building AI-powered features for several years before the term "generative AI" entered common use, and already had a dedicated in-house team developing them further. That foundation enabled meaningful advances over time, including advanced reasoning models, conversational memory, and retrieval-augmented generation (RAG) to ground recommendations in platform-specific documentation. With the addition of Plan Mode, SnapGPT can now reason through complex requirements and validate implementation approaches before development begins, shifting the focus from generation to production-ready integrations. From day one to day two. The first iteration of SnapGPT was primarily focused on lowering the barrier to entry, helping users kick-start their integration projects with ease. However, for enterprise integration developers, the initial creation is just the beginning. The real, ongoing challenge lies in the continuous maintenance, optimization, and iterative improvement of these integrations as business needs evolve over time. This shift from simple onboarding to sustained lifecycle management informed its transition from day one basics to day two operations. That initial release was focused on "day one" sorts of tasks: * How can I connect to this system? * Build me a pipeline to read some data from that system * What does this do? Since then, SnapLogic Inc. has worked consistently to add support for "day two" tasks, the work that power users of SnapLogic might do every day: * Build a SQL query * Make a regular expression * Why is this pipeline running slow? After all, pipelines get built once, but they need to be maintained and evolved, so once the initial creation is taken care of, the next step is to move from the "greenfield" mode of pure creation to the "brownfield" work of developing and evolving something that already exists. SnapLogic Inc. can see how these capabilities are already helping its users. In 2025, a review of SnapLogic usage revealed that the most used SnapGPT prompt was "Describe the pipeline." Evolving SnapGPT capabilities. The latest version of SnapGPT advances both building and maintenance tasks by shifting from a simple copilot to a comprehensive agentic assistant. To provide AI assistance across the entire integration lifecycle, SnapLogic Inc. has organized these expanded capabilities into four core pillars: Plan, Build, Understand, and Operate. Here's how each of these pillars supports different phases of your integration work. Plan. The new Plan Mode helps users validate requirements, explore implementation approaches, refine workflows, and identify any potential issues or edge cases before development even begins. SnapGPT will ask clarifying questions and suggest possible solutions. Build. Generate high-quality, production-ready integrations through integration-specific reasoning and pipeline execution validation. The quicker the pipeline can be developed and deployed in production, the sooner it will start generating value. This is also why SnapLogic Inc. has pushed SnapGPT to be able to handle multi-pipeline generation, intelligent pipeline refactoring, reusable expression libraries, and the natural-language generation of SnapLogic MCP Servers. Understand. Analyze existing integration assets, explain pipeline logic, and surface contextual insights to help teams better understand and improve complex integrations. Some SnapLogic users have over a decade of history with the platform, and that is a treasure-trove of insight into best practices, naming conventions, and standards of those organisations. SnapGPT can leverage that information to provide outputs that are specific to those needs, not just in generic ways (i.e., does the pipeline pass validation?) but in highly particular ones (i.e., is the pipeline built the way SnapLogic Inc. do things around here?). Operate. The SnapGPT Activity Log provides administrators with visibility into AI-assisted development activity. Meanwhile, SnapGPT Monitor Insights extends AI assistance into production operations with diagnostic intelligence and AI-powered troubleshooting. This new capability takes SnapGPT for the first time beyond the development-oriented use cases and into production operations. In this initial release, SnapGPT can help platform administrators understand the health of their SnapLogic infrastructure and debug any pipeline execution failures that might occur, complete with root-cause analysis and suggested remediation actions ready to be put into action. Driving enterprise value. These features build on the capabilities that have already made its users successful. Even before the new release went live, SnapLogic Inc. has seen a steady rise in prompts week over week so far this year. Since its latest release, prompt volume has increased by 50%. At a time when many vendors and IT professionals are struggling to connect AI capabilities to real, tangible enterprise value, it is heartening to see these sorts of long-running adoption patterns, and SnapLogic Inc. look forward to seeing how entirely new types of users will take advantage of SnapGPT. Platform operators have very different needs from pipeline developers, after all, but in some ways are under even more pressure. While it is an honour to say that many of its customers run business-critical use cases on the SnapLogic platform, SnapLogic Inc. also feel that responsibility keenly. If a pipeline fails that underpins a critical business process, the consequences can accumulate rapidly. Every minute shaved off the resolution time counts in those scenarios. The future of agentic integration. This trend will only accelerate with the ongoing adoption of MCP. SnapLogic can help make companies' agentic AI ambitions real by offering managed, governed, enterprise-grade, and compliant connectivity to the systems and data that run the enterprise. But for companies to entrust their future projects to SnapLogic, they need visibility to detect issues, contextual insight to diagnose them quickly, and automated capabilities to resolve them rapidly. The August release extends that foundation further, with MCP observability and MCP token exchange adding more visibility and security for agentic integration in production. Director of Product Marketing for AI and Data at SnapLogic Table of Contents See SnapLogic in action with an interactive tour!
SnapLogic introduces the new SnapGPT, the Agentic assistant for the integration lifecycle. New release delivers agentic planning, generation, and operational intelligence to help teams move from business intent to production faster. San Mateo, California, July 29, 2026 (GLOBE NEWSWIRE) - SnapLogic, the Agentic Integration Company, today announced the most significant advancement in SnapGPT since its introduction in 2023, transforming the industry's first Generative Integration solution into an agentic assistant that helps enterprise teams plan, build, understand, and operate integrations through natural language. As AI-assisted development becomes table stakes, the question is no longer whether AI can generate an integration, but whether it can help teams consistently deliver production-ready integrations. The new SnapGPT evolves from an AI-powered integration copilot into an agentic assistant for the integration lifecycle, combining platform intelligence, integration-specific reasoning, and operational guidance to help teams move from business intent to production faster. "Three years ago, we pioneered Generative Integration with the industry's first GenAI-powered integration copilot, enabling users to create integrations through natural language," said Jeremiah Stone, CTO at SnapLogic. "Today, SnapGPT brings that vision forward into the era of Agentic Integration, helping teams across the entire engineering lifecycle - planning with confidence, high quality spec-driven development, understanding and refactoring existing assets, and optimizing operations through AI purpose-built for enterprise integration." Unlike general-purpose AI assistants, SnapGPT combines agentic planning, integration-specific reasoning, pipeline execution validation, and more than 15 years of enterprise integration expertise built into the SnapLogic Agentic Integration Platform, including platform intelligence, operational context, and proven integration patterns. The result is AI purpose-built to help teams deliver successful enterprise integrations, not just generate them. SnapGPT now helps teams across the entire integration lifecycle: * Plan - Plan Mode helps teams validate requirements, explore implementation approaches, refine workflows, and identify potential issues before development begins. * Build - Generate high quality, production-ready integrations through integration-specific reasoning and pipeline execution validation, while accelerating development with multi-pipeline generation, intelligent pipeline refactoring, reusable expression libraries, and natural-language generation of SnapLogic MCP Servers. * Understand - Analyze existing integration assets, explain pipeline logic, and surface contextual insights to help teams better understand and improve complex integrations. * Operate - General availability of SnapGPT Activity Log provides administrators with visibility into AI-assisted development activity. SnapGPT Monitor Insights extends AI assistance into production operations with diagnostic intelligence and AI-powered troubleshooting. "SnapGPT has been a game changer for our integration team," said Hal Hallsson, Principal Enterprise Architect, Bison Transport. "It has made it easier to build integrations faster while reducing repetitive work, allowing our developers to focus on solving more valuable business problems. We're excited to see SnapLogic continue investing in SnapGPT and look forward to taking advantage of the new capabilities as they become part of our day-to-day workflows." "The integration market is evolving beyond AI-assisted development toward AI that helps teams deliver successful outcomes across the entire integration lifecycle," said Jim Lundy, CEO and Lead Analyst, Aragon Research. "Organizations are increasingly looking for AI that combines domain expertise with automation to improve both productivity and business outcomes. SnapLogic's latest enhancements to SnapGPT reflect this shift by extending AI beyond generation into planning, understanding, and operational guidance." Availability The new SnapGPT is now available as part of the SnapLogic Agentic Integration Platform. The release introduces advanced generation capabilities as the default SnapGPT experience, with Plan Mode and SnapGPT Activity Log now generally available. SnapGPT Monitor Insights will soon be available in August. About SnapLogic SnapLogic is the Agentic Integration Company, integrating AI, data, applications, and microservices into one powerful platform that transforms how enterprises connect, automate, and scale. Unlike legacy integration tools, SnapLogic is built for the AI era and trusted by global leaders, including AstraZeneca, Adobe, Verizon, and Sony. With its industry-leading platform, SnapLogic empowers every team across the enterprise to securely build faster, smarter, AI-connected workflows - all through natural language and intuitive low-code design. Join the Agentic Integration movement at snaplogic.com. Gemma Smith SnapLogic [email protected] Bianca Robles Offleash PR for SnapLogic [email protected] Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. Africa SMB Journal do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
SnapLogic launches SnapCode and SnapLogic MCP Server, bringing governed enterprise integration to AI coding agents. New capabilities enable enterprise builders to create, deploy, and govern enterprise integrations directly from AI coding environments Summarize this with AI SAN MATEO, Calif. - July 14, 2026 - SnapLogic, the Agentic Integration Company, today announced the general availability of SnapCode and the SnapLogic MCP Server, extending its Agentic Integration Platform to AI coding environments. Together, the new capabilities enable enterprise builders to generate, deploy, and govern production-ready integrations directly from the AI coding environment they already use, helping organizations accelerate AI application development without sacrificing enterprise governance, security, or operational reliability. While AI coding agents are changing how enterprise software gets built, connecting AI-generated applications to enterprise systems still requires the same level of trusted connectivity and governance. SnapCode and the SnapLogic MCP Server deliver on this by extending enterprise integration directly into AI coding environments, enabling enterprise builders to build faster while IT continues to rely on the same trusted platform to deploy and operate integrations in production. "Enterprise builders should not have to choose between the speed of AI coding agents and the governance enterprises require," said Jeremiah Stone, Chief Technology Officer at SnapLogic. "SnapCode enables enterprise builders to generate production-ready integrations directly from the AI coding environment they already use, while SnapLogic MCP Server provides the governed headless runtime that exposes SnapLogic platform operations as governed MCP tool calls, enabling AI agents to securely deploy, execute, validate, and manage integrations. This means developers can move faster without compromising trust and operational integrity" SnapCode is the first developer experience built on the SnapLogic MCP Server, SnapLogic's headless integration layer for the agentic enterprise. Enterprise builders can describe the integration they need in natural language from within Claude Code and receive production-ready SnapLogic pipeline code that they own and manage through their existing software development workflows. The SnapLogic MCP Server provides governed, programmatic access to SnapLogic platform operations, enabling AI agents to securely deploy, execute, and manage integrations through the Model Context Protocol (MCP). Together, SnapCode and the SnapLogic MCP Server enable organizations to: * Generate production-ready integrations using natural language directly from Claude Code. * Connect AI applications to enterprise systems through more than 1,000 pre-built Snaps for SAP, Oracle, Salesforce, Snowflake, Workday, ServiceNow, EDI, mainframe environments, and more. * Maintain enterprise governance by deploying and executing every integration through the SnapLogic Agentic Integration Platform with centralized security, monitoring, and operational controls. * Expose trusted integrations as governed MCP-compatible tools that AI agents can securely discover and invoke, extending AI safely across the enterprise. "Enterprises are using AI to build apps faster than ever before, but they're also wasting tokens and creating technical debt with unsupported integrations," said James Governor, co-founder at RedMonk, "With SnapCode and MCP support, SnapLogic plans to meet developers where they are, with a platform designed to make it easy to bring deterministic, supported, and well defined integrations to agents and assisted coding environments." Availability. SnapCode and the SnapLogic MCP Server are generally available as of July 7, 2026. For more information, visit the SnapCode product page or the SnapLogic MCP Server product page on the SnapLogic website. At launch, SnapCode supports Claude Code, including the Claude Code extension for Visual Studio Code, with support for additional AI coding environments planned over time. About snaplogic. SnapLogic is the Agentic Integration Company, integrating AI, data, applications, and microservices into one powerful platform that transforms how enterprises connect, automate, and scale. Unlike legacy integration tools, SnapLogic is built for the AI era and trusted by global leaders, including AstraZeneca, Adobe, Verizon, and Sony. With its industry-leading platform, SnapLogic empowers every team across the enterprise to securely build faster, smarter, AI-connected workflows - all through natural language and intuitive low-code design. Join the Agentic Integration movement at snaplogic.com. Press contacts:
SnapLogic has launched MCP Builder, a template-based tool that automatically converts existing integration pipelines into agent-ready Model Context Protocol tools. The general availability announcement comes as enterprises struggle to operationalise AI, with Gartner reporting that 50% of AI projects are abandoned after proof of concept. MCP Builder generates ready-to-run MCP Servers from existing integrations, OpenAPI specifications and API Management services without requiring code or manual construction. The platform includes enterprise governance features, identity propagation, observability and over 1,000 enterprise connectors. The tool is embedded directly in the MCP Server workflow and aims to bridge AI-driven reasoning with deterministic enterprise execution whilst maintaining governance and control. SnapLogic serves global clients including AstraZeneca, Adobe, Verizon and Sony.