Design and implement advanced AI/ML systems focusing on LLMs, AI Agents, and RAG architectures to enhance user experiences. Build production-grade AI pipelines and conversational interfaces that integrate with existing products and services.
Workato
34 Remote Job Openings at Workato
Build a unified, permission-aware retrieval layer across various enterprise SaaS systems to power AI agents. Design hybrid retrieval pipelines combining lexical, vector, and structured search with a focus on ingestion freshness and quality evaluation.
Design and implement secure workload isolation and sandboxing mechanisms for user and AI-generated code. Optimize system-level services, networking performance, and internal protocols across the Linux stack.
Onboard new customers by providing technical consulting and leading the design of integration and automation solutions. Act as a trusted advisor to optimize processes and contribute reusable technical content for the broader team.
Manage a portfolio of enterprise accounts to ensure value realization, adoption, and retention of the Workato platform. Develop strategic AI roadmaps and maintain executive relationships to drive revenue expansion and customer satisfaction.
Coordinate demand generation and co-marketing activities with System Integrator partners to drive growth and loyalty. Monitor and analyze the performance of partner marketing activities against ARR and pipeline goals.
Create technical content including tutorials, videos, and blog posts to demonstrate Workato's developer capabilities. Engage with the developer community through events and workshops while advocating for developer feedback internally.
Develop complex Ruby on Rails services for the Workbot platform to build interactive chatbots for Slack and MS Teams. Contribute to all phases of the development lifecycle while researching ecosystem trends and proposing architectural improvements.
The role involves managing enterprise customer success to help clients unify data, applications, and AI on the Workato platform. The specific responsibilities are currently placeholders in the provided text.
Oversee engineering governance and oversight for the AI Apps BU, focusing on top enterprise accounts and early access product releases. Drive program strategy, manage cross-functional dependencies, and ensure architectural integrity across delivery workstreams.
Design, build, and optimize complex user interfaces for a modern integration platform using advanced frontend technologies. Collaborate with product and design teams to create reusable components and resolve architectural performance issues.
Own the full customer lifecycle from prospecting and qualification to closing and post-sales growth. Drive strategic consultative sales cycles and collaborate with leadership to refine the enterprise sales playbook.
Design, build, and operate high-performance gateway and routing components using Go. Own the technical direction for API management, AI gateways, and MCP integration infrastructure.
The SDR is responsible for uncovering new business opportunities through outbound activities and building a strong sales pipeline. This includes setting up meetings for the sales team and collaborating with Marketing and Customer Success teams.
Build a unified, permission-aware retrieval layer across various enterprise SaaS systems to power AI agents. Design hybrid retrieval pipelines combining lexical, vector, and structured search with a focus on freshness and low latency.
Develop mission-critical features for the Workato platform, focusing on AI chatbot dispatching and synchronous/asynchronous AI execution. Build high-performance gateways, routing components, and server-side infrastructure for logging and monitoring.
Design, build, and maintain a global, resilient cloud infrastructure to power Workato's automation platform. This includes optimizing open-source components, managing AWS infrastructure via Terraform and Kubernetes, and improving CI/CD pipelines.
The Account Executive will drive the growth of the Agentic AI business unit by cross-selling the Agentic Platform to existing customers and acquiring new logos. Responsibilities include managing the full sales lifecycle from pipeline generation to post-sales growth while collaborating with Product and Marketing teams.
Manage a portfolio of enterprise accounts to ensure value realization, adoption, and retention of the Workato Agentic Orchestration Platform. Act as a trusted advisor and liaison between customers and internal teams to drive growth and strategic business outcomes.
The role involves building new products and developing code using Rust while maintaining existing Go and Ruby codebases. The developer will create Proof of Concepts in new areas and drive them toward production.
Build and maintain a scalable, cloud-native internal platform using Temporal and other tools to optimize cost, stability, and developer experience. Implement automated CI/CD pipelines, complex deployment scenarios like canary rollouts, and drive infrastructure automation.
The Senior Instructional Designer will create engaging, technically accurate learning experiences and curricula for Workato's Orchestrate and Agentic capabilities. This includes developing high-quality instructional materials, practical labs, and assessments to drive product adoption for customers and internal teams.
Design and develop high-volume, low-latency distributed systems and high-performance queuing/storage engines. Collaborate with cross-functional teams to build API interfaces and deliver mission-critical, high-availability applications.
Develop and maintain the Workato Recipe runtime, focusing on execution, DSL, and webhook processing. Build scalable Golang applications and microservices while optimizing performance, storage, and concurrency.
Build complex Ruby on Rails applications and server-side infrastructure for the Workato user interface. Collaborate with UI, connectivity, and DevOps teams to develop elegant solutions for complex backend problems.
Develop and maintain the Workato Recipe runtime, focusing on the execution engine, DSL, and processing webhooks. Provide technical leadership, conduct code reviews, and optimize system performance and scalability.
Define and lead the product vision and strategy for Workato's AI and LLM-focused developer tools. Bridge the gap between developers, business goals, and engineering to deliver high-quality developer platforms and agentic systems.
Serve as the domain expert to translate CX and support workflows into production-grade AI agents and applications. Lead the discovery of AI use cases, author PRDs, and collaborate with sales and success teams to drive AI adoption in enterprise accounts.
Create technical content, tutorials, and sample projects to demonstrate Workato's developer capabilities. Build and scale developer programs and community initiatives while advocating for developer feedback internally.
Translate deep knowledge of revenue operations, sales, and marketing workflows into production-grade AI agents and apps. Lead the discovery of high-value AI use cases and author PRDs to drive measurable customer outcomes.
Lead the design and optimization of intelligent search systems and end-to-end retrieval pipelines using machine learning. Develop scalable search clusters, learning-to-rank models, and entity recognition pipelines to enhance document understanding.
Lead end-to-end design for complex enterprise features, translating technical depth into intuitive interfaces for automation and AI workflows. Partner with product managers and engineers to define product vision and ensure high standards of usability and craft.
The intern will design and test prototypes of AI agents that integrate with enterprise workflows and build experiments to evaluate agent performance. They will also collaborate with engineers and data scientists to develop evaluation pipelines and document findings.
The Senior Full Stack Software Engineer will lead the development of AI-powered applications, working across the stack to build robust backends and intuitive frontends. This role involves collaborating with various teams to integrate AI models into real-world applications and optimizing performance and scalability.
