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Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com.
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz ranked us the #1 best company for remote workers
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BA/BS or equivalent education; a Computer Science degree is a plus.
3-5 years of pre-sales or solutions architecture experience in a SaaS organization required.
Hands-on experience with iPaaS, enterprise integration, or automation technologies is a must-have.
Demonstrable experience working with Enterprise and Fortune 1000 customers across complex, multi-stakeholder sales cycles.
Hands-on experience with automation technologies, middleware, integration architecture patterns, web services, enterprise messaging patterns, APIs, SOA, ESB, BPM, and databases.
Hands-on experience with cloud technologies – iPaaS, SaaS applications, cloud infrastructure (AWS, GCP, Azure).
Strong understanding of enterprise application ecosystems including ERP (e.g., SAP, NetSuite, Oracle), CRM (e.g., Salesforce), HCM (e.g., Workday, SAP SuccessFactors), ITSM (e.g., ServiceNow), and collaboration platforms.
Familiarity with AI and agentic automation concepts, including prompt engineering, RAG, vector databases, chain-of-thought reasoning, MCP (Model Context Protocol), AI agents, and other techniques used to improve results and performance of Gen-AI use cases.
Familiarity with object-oriented programming and scripting.
Understanding of web technologies such as JSON, XML, HTTP, and GraphQL.
Experience mapping technical solutions to business outcomes across departments (IT, Finance, HR, RevOps, Security & Compliance).
Passionate about ensuring customer success and driving business transformation.
Adaptable and positive; eager to learn new concepts and technologies — particularly in the rapidly evolving AI and agentic automation space — and solve complex enterprise problems.
Excellent interpersonal and presentation skills; able to clearly convey complex ideas to diverse audiences from developers to C-level executives and collaborate effectively across functions.
Strong leadership abilities; comfortable leading architectural discussions and presenting to technical and business audiences at all levels, including executive briefings.
Results-oriented and self-motivated with a track record of exceeding targets.
Ability to manage multiple concurrent enterprise evaluations and prioritize effectively.
(REQ ID: 2774)
#LI-NJ1
Enterprise integration and automation platform connecting AI agents to over 1400 business applications with low-code workflow orchestration.
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