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60 Workato Operations Jobs Hiring Near You

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and ... Proficiency in CUDA programming and custom kernel development for LLM operations * Background in ...

Workato

Intern, Customer Experience

Palo Alto, CA · On-site +1

Available for collaboration during standard US hours of operation. Requirements Qualifications / Experience / Technical Skills * Build Workflow Automation: Using Workato, design and implement basic ...

Workato

Senior Solutions Architect

Palo Alto, CA

... Workato's platform; including its AI-powered orchestration, agentic automation, and Enterprise MCP capabilities; can transform their operations. Success in this role requires a strong ability to ...

Workato

Lead Analytics Engineer

Palo Alto, CA · On-site +1

$120K - $158K/yr

About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and ... Work closely with operations analysts and stakeholders to understand data requirements and deliver ...

Workato

Intern, AI Engineering

San Francisco, CA

$19.75 - $25.50/hr

About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and ... Proficiency in CUDA programming and custom kernel development for LLM operations * Background in ...

Workato

Senior Customer Success Manager

Palo Alto, CA · On-site

About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and ... Educate People, Marketing, Sales, Customer and Finance Operations on the business value achieved ...

Workato

Senior Customer Success Manager

Palo Alto, CA · On-site +1

About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and ... Educate People, Marketing, Sales, Customer and Finance Operations on the business value achieved ...

Workato

Senior Infrastructure Engineer (Core Infra, US)

OR · On-site +1

$180K - $240K/yr

About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and ... Build internal tools to streamline engineering workflows and operational automation. * Participate ...

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Workato Jobs Information

What is it like to work at Workato?

Workato is a collaborative and innovative company that prioritizes teamwork, creativity, and customer satisfaction. The company's structure is designed to foster a sense of community, with a flat organizational hierarchy and cross-functional teams working together to drive product development and customer success. As a company that empowers businesses to automate and integrate their workflows, Workato offers a dynamic and challenging work environment that appeals to candidates who are passionate about technology, innovation, and problem-solving.
What are the most popular job types at Workato?
    What are the most popular jobs at Workato?
    What are the most popular categories at Workato?
    Infographic showing various Operations job openings at Workato in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% Physical, 2% Hybrid, and 48% Remote job distribution.
    Intern, AI Engineering

    Intern, AI Engineering

    Workato

    San Francisco, CA • On-site

    $19.75 - $25.50/hr

    Internship

    Posted 14 days ago

    Job description

    About Workato
    Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
    Why join us?
    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

    Workato AI Lab
    About Workato AI Lab
    Workato AI Lab is at the forefront of enterprise AI innovation, developing cutting-edge agentic systems that transform how businesses automate and optimize their workflows. Our team bridges academic research with real-world applications, creating AI systems that serve millions of users across global enterprises.
    Responsibilities
    We are seeking exceptional graduate students to join our AI Lab as Research Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and efficient AI infrastructure, with opportunities to publish your research while making direct impact on production systems serving enterprise customers.
    We are now filling intern positions for Winter 2026 and Spring 2027.
    Research Areas
    • LLM Agent Systems: Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks
    • Efficient LLM Fine-tuning: Develop novel methods for parameter-efficient adaptation, alignment, and reinforcement learning for large language models
    • High-Performance LLM Inference: Optimize inference pipelines through systems-level innovations, kernel development, and deployment strategies
    In this role, you will also be responsible to:
    • Conduct original research on LLM agent architectures and optimization techniques
    • Develop and evaluate novel algorithms with both academic rigor and production feasibility
    • Present your work at internal research seminars and external conferences
    • Mentor and collaborate with LLM engineers on implementation and deployment
    Requirements
    Qualifications / Experience / Technical Skills
    • Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or related fields
    • Publications at top-tier venues (ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL)
    • Strong programming skills in Python and PyTorch
    • Ability to work in-person at our San Francisco office
    • Ability to work independently and collaborate across research and engineering teams
    Preferred:
    • Experience with self-evolving agent systems
    • Proficiency in CUDA programming and custom kernel development for LLM operations
    • Background in reinforcement learning-based LLM fine-tuning
    • Track record of contributions to production inference systems such as vLLM, TensorRT-LLM, SGLang, or Hugging Face ecosystem
    • Experience bridging academic research with production systems
    • Open-source contributions to widely-used ML infrastructure projects

    (REQ ID: 2690)

    Apply