Responsibilities

We are looking for an experienced Forward Deployed Engineer to join our Forward Deployed Engineering team. In this role, you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.

In this role, you will also be responsible to:

• Implement agent-based AI solutions using the Workato Agentic AI platform.

• Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows.

• Act as a technical solutions expert with strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.

• Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.

• Continuously monitor and improve AI system performance, ensuring efficiency and reliability.

• Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation.

• Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment.

• Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base.

• Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise.

• Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs.

• Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences.

Requirements

Qualifications / Experience / Technical Skills

• BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• A total of 4+ years of relevant experience in design, development, and implementation.

• Proven experience in AI engineering, with a focus on agent-based systems.

• Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations.

• Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases.

• Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL.

Nice to have

• Hands-on experience with any of the following: Java, Python, or Ruby.

• Experience working with integration platforms such as TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools.

• Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure.

• Experience with in Workato.

• Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo.

Soft Skills / Personal Characteristics

• Strong collaboration skills, ability to adapt to a dynamic start-up environment, with a passion for making an impact

• Strong critical thinking, analytical skills with an entrepreneurial and proactive mindset

• Ability to effectively prioritize tasks and manage time, even under high-pressure situations

• Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience

• Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly

• Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge

(REQ ID: 2750)

Responsibilities

We are looking for an experienced Staff Forward Deployed Engineer to join our Forward Deployed Engineering team. In this role you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.

Workato has a positive, diverse, and collaborative culture—we look for people who are curious, inventive, smart, hardworking, and work to be a little better every day. Workato has also been recognized amongst the “Top 47 Enterprise Startups to Bet Your Career On in 2020”, the “Hottest 13 Productivity Software Startups to Watch in 2020!”, and the “Top 15 startups helping even non-programmers build simple apps, ahead of an expected software developer shortage” by Business Insider.

In this role, you will also be responsible to:

• Architect and design intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform

• Design and deploy Agentic AI solutions using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)

• Develop techniques enabling large language models (LLMs) to reliably author complex behaviors

• Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.

• Technical solutions expert with an aptitude for technical advising, troubleshooting, and analysis. 

• Work closely with clients to understand requirements and provide technical guidance.

• Tailor Workato AI solutions to meet specific client needs, ensuring optimal functionality and scalability.

• Continuously monitor and improve AI system performance, ensuring efficiency and reliability

• With strong communication skills, you will be proficient in communicating technically complex ideas to a non-technical audience. 

• Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks.

• Ensure AI-driven automation is fault-tolerant, efficient, and aligned with enterprise IT best practices

• Create and deliver custom product demonstrations to support the sales and other internal teams.

• Improve internal processes, and promote knowledge sharing in the team, by contributing to Workato’s knowledge base

• Prioritize and deliver outstanding customer service experience to Workato customers

• Play a key role right from the product ideations stage to the implementation stage.

• Support the product manager in creating the technical and design specifications

Requirements

Qualifications / Experience / Technical Skills

• BTech/BE or higher technical education - Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• Total12+ years of relevant experience in the field of design, development and implementation.

• Proven experience in AI engineering, with a focus on agent-based systems.

• Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations

• Knowledge of Implementing Integration projects is a must. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and Databases.

• 5+ years of experience, working with Integration Platform such as TIBCO, Dell Boomi, MuleSoft etc is a plus. Experience with cloud technologies - iPaaS, SaaS applications, cloud infrastructure

• Strong working knowledge with APIs - RESTful, SOAP/XML. Sound knowledge of Data Structure - JSON. Sound knowledge of any RDBMS/NoSQL. 

• 2-3  years of coding experience (Java/Python/Ruby)

• Technical background or a good understanding of technology and industry trends, especially in the app integration space

• Experience working with cloud business apps like Workday / NetSuite / Salesforce / Servicenow / Marketo is a plus

• Working knowledge on Microservices or API-based integration architecture, Event driven architecture, Process Automation via BPM or RPA is a plus.

Soft Skills / Personal Characteristics

• Strong collaboration skills, ability to adapt to a dynamic start-up environment with a passion for making an impact

• Strong critical thinking, analytical skills with an entrepreneurial and proactive mind-set

• Ability to effectively prioritize tasks and manage time, even under high-pressure situations

• Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience

• Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly

• Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge

(REQ ID: 2747)

Responsibilities

We are looking for an exceptional Staff Domain Expert, AI in GTM to join our growing AI Business Solutions team. In this role, you will serve as the domain expertise and product management engine for Workato's GTM AI agents and apps — translating deep knowledge of revenue operations, sales, and marketing workflows into production-grade AI agents and apps that drive measurable customer outcomes. You will also be responsible for:

• Leading the discovery and capture of GTM-domain AI agent and app concepts through customer engagement, field collaboration, and internal research — building a library of high-value AI use cases across Sales, RevOps, and Marketing functions

• Authoring PRDs for GTM AI agents and apps, shepherding concepts from initial capture through design partner validation to production deployment

• Running targeted AI workshops with top GTM accounts — facilitating hands-on sessions that accelerate AI agent adoption and produce referenceable, production-grade customer outcomes

• Partnering with Workato's internal teams to bring learnings from customer engagements back to the business — ensuring Workato itself is the leading example of what AI transformation looks like in practice

• Collaborating with Sales and Customer Success to position and land GTM AI use cases in the enterprise, supporting pipeline generation and expansion

• Developing GTM-specific AI thought leadership, POVs, and customer stories that demonstrate Workato's impact across the revenue org

• Working with Field Readiness to build messaging and enablement for selling GTM AI agents to Sales, RevOps, and Marketing personas

Requirements

Qualifications / Experience / Technical Skills

• 7+ years in a customer-facing or domain specialist role with a GTM focus (e.g., RevOps, Sales Operations, Marketing Operations, or solutions consulting for GTM technology)

• Deep understanding of GTM technology, workflows, and personas (CRO, VP RevOps, VP Sales, Marketing Ops, SDR/AE teams) across multiple industries

• Experience scoping and delivering automation or AI solutions in GTM environments; familiarity with tools such as Salesforce, HubSpot, Gong, Outreach, Marketo, 6sense, Clay, or similar

• Experience with AI tools, large language models, or agentic workflow platforms; hands-on experience with Workato (AI agents, automation recipes, integration platforms) is a strong plus

• Ability to translate business problems into structured product requirements (PRD authorship or equivalent)

• Proven track record influencing revenue — through quota-carrying roles, pipeline generation, or expansion in a customer-facing capacity

• Located in North America with flexibility to travel

Soft Skills / Personal Characteristics

• Ownership mindset — operates end-to-end from concept capture to production deployment with no handoff gaps

• Velocity over consensus — iterates fast, finds the gaps, and acts on the growth edge rather than waiting for everyone to align

• Customer-first — every use case starts and ends with a real customer problem; outcomes over optics

• Comfortable building in ambiguity — creates new playbooks rather than fitting into established ones

• Communicates credibly with senior buyers — can engage CROs, VPs of RevOps, and GTM leaders as a peer and hold the room

• 10X thinker — identifies bets that 10x customer value, not incremental improvements

Expected salary range for this role is $150,000–$180,000+ Bonus. Actual compensation will be determined based on experience, skills, and other job-related factors.

Job Req ID: 2668

Responsibilities

We are seeking an exceptional Staff Automation Engineer to design and implement innovative solutions that empower our Product, Engineering, and Customer Success teams to move faster, build smarter, and deliver more value to our customers.

You’ll work at the intersection of SaaS, cloud platforms, and automation—provisioning and managing cloud resources, developing tools for seamless operations, and automating critical infrastructure processes. Your expertise will help incubate new projects, streamline CI/CD, and ensure our environments are secure, scalable, and reliable.

If you thrive in a collaborative, fast-paced environment and love solving complex challenges with technology, this is your opportunity to make a real impact. Join us and help drive the next generation of cloud automation at Workato!

In this role, you will also be responsible to:

• Lead end-to-end cloud infrastructure automation projects aligned to business requirements — owning architecture, delivery, and outcomes across the full project lifecycle, to drive operational efficiency, scalability, and reliability in the business.

• Design challenging, enterprise-grade automation architectures spanning multi-system integrations, event-driven workflows, and infrastructure provisioning pipelines.

• Architect and implement cloud infrastructure for project incubation, including provisioning cloud accounts, deploying services, automating CI/CD pipelines, and enforcing security best practices.

• Design and automate infrastructure-related processes to drive operational efficiency, scalability, and reliability.

• Partner closely with stakeholders across product, security, engineering, operations, and business leadership to translate needs into technical solutions, communicating trade-offs clearly to both technical and executive audiences.

• Drive cross-functional project execution — anticipate risks early, remove blockers, and keep delivery moving without sacrificing scalability or quality.

• Design, build and enhance tools for efficient management and monitoring of cloud services and resources. These tools will be used by Product, Marketing, and Field teams to create and maintain connectors, build POCs, and impactful demos.

• Mentor and elevate peer engineers through design reviews, hands-on coaching, and knowledge transfer on complex cloud infrastructure topics.

• Set the technical bar for the team by championing best practices in solution design, documentation, governance, and continuous learning.

• Continuously evaluate and adopt new technologies, tools, and Workato features to enhance automation capabilities and infrastructure operations.

Requirements

Qualifications / Experience / Technical Skills

Required:

• 7+ years of hands-on experience delivering end-to-end automation and cloud infrastructure projects — from requirements through production deployment.

• Demonstrated experience managing full project lifecycles: scoping, architecture, stakeholder alignment, delivery, and post-launch iteration.

• Track record of delivering complex, multi-system integrations in cross-functional environments involving Engineering, Product, and business stakeholders.

• Experience working with CI/CD pipelines and IaC tools (Terraform, CloudFormation) in real production environments, not just prototypes.

• Proven experience designing, building, and maintaining automation solutions for cloud infrastructure (AWS, Azure, GCP, or similar), including CI/CD pipelines, infrastructure provisioning, and SDLC best practices.

• Strong hands-on knowledge of cloud architecture, networking, and security best practices.

• Hands-on experience with iPaaS, workflow automation, or low-code/no-code integration platforms; Workato experience strongly preferred.

• Excellent communication and stakeholder collaboration skills — able to translate technical complexity for both engineering and business audiences.

• Strong technical documentation skills for solutions, architectures, and operational processes.

Ideal:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.

• Experience mentoring engineers and driving adoption of engineering best practices at team level.

• Workato platform certification or demonstrated advanced proficiency.

• Experience with process orchestration tools implementing integration projects involving complex enterprise systems (e.g., SAP, Oracle, Dynamics) and cloud business apps (e.g., Workday, NetSuite, Salesforce).

• Certifications in major cloud platforms (AWS Certified Solutions Architect, Azure Solutions Architect, etc.).

• Background in enterprise architecture and solution design patterns (e.g., SOLID, DRY, KISS).

• Familiarity with security automation, policy-as-code, and cloud governance frameworks.

• Experience integrating cloud infrastructure with business systems (e.g., ITSM, CRM, ERP) via APIs and connectors.

Soft Skills / Personal Characteristics

• Collaboration & Stakeholder Partnership: Has worked across Engineering, Product, Customer Success, and business teams on real, end-to-end projects — knows how to align stakeholders, navigate competing priorities, and keep delivery moving.

• Communication: Communicates complex technical concepts clearly and confidently to both technical and non-technical audiences — in written docs, design reviews, and stakeholder presentations.

• Ownership & Initiative: Takes end-to-end accountability for project outcomes — from ambiguous requirements to delivered solution — without needing direction or hand-holding.

• Adaptability: Has navigated changing requirements, shifting priorities, and technical unknowns mid-project and delivered anyway.

• Influence & Leadership: Drives technical decisions and best practices through expertise and credibility; mentors peers and elevates team capability.

(REQ ID: 2732)

Responsibilities

We are looking for an exceptional Staff Domain Expert, Customer Support to join our growing AI Business Solutions team. In this role, you will serve as the domain expertise and product management engine for Workato's Customer Support AI agents and apps — translating deep knowledge of CX, service operations, and support workflows into production-grade AI agents and apps that drive measurable customer outcomes. You will also be responsible for:

• Leading the discovery and capture of Customer Support-domain AI agent and app concepts through customer engagement, field collaboration, and internal research — building a library of high-value AI use cases across support, service delivery, and CX functions
• Authoring PRDs for Customer Support AI agents and apps, shepherding concepts from initial capture through design partner validation to production deployment
• Running targeted AI workshops with top Customer Support accounts — facilitating hands-on sessions that accelerate AI agent adoption and produce referenceable, production-grade customer outcomes
• Partnering with Workato's internal teams to bring learnings from customer engagements back to the business — ensuring Workato itself is the leading example of what AI transformation looks like in practice
• Collaborating with Sales and Customer Success to position and land Customer Support AI use cases in the enterprise, supporting pipeline generation and expansion
• Developing Customer Support-specific AI thought leadership, POVs, and customer stories that demonstrate Workato's impact across service and CX organizations
• Working with Field Readiness to build messaging and enablement for selling Customer Support AI agents to CX, ITSM, and service operations personas

Requirements

Qualifications / Experience / Technical Skills

• 7+ years in a customer-facing or domain specialist role with a Customer Support or CX focus (e.g., support operations, service delivery, ITSM, or solutions consulting for CX/support technology)
• Deep understanding of Customer Support technology, workflows, and personas (VP CX, Head of Support, ITSM leads, CS Ops) across multiple industries
• Experience scoping and delivering automation or AI solutions in support environments; familiarity with tools such as Salesforce Service Cloud, Zendesk, ServiceNow, Intercom, Freshdesk, or similar
• Experience with AI tools, large language models, or agentic workflow platforms; hands-on experience with Workato (AI agents, automation recipes, integration platforms) is a strong plus
• Ability to translate business problems into structured product requirements (PRD authorship or equivalent)
• Proven track record influencing revenue — through quota-carrying roles, pipeline generation, or expansion in a customer-facing capacity
• Located in North America with flexibility to travel

Soft Skills / Personal Characteristics

• Ownership mindset — operates end-to-end from concept capture to production deployment with no handoff gaps
• Velocity over consensus — iterates fast, finds the gaps, and acts on the growth edge rather than waiting for everyone to align
• Customer-first — every use case starts and ends with a real customer problem; outcomes over optics
• Comfortable building in ambiguity — creates new playbooks rather than fitting into established ones
• Communicates credibly with senior buyers — can engage VPs of CX, Heads of Support, and service leaders as a peer and hold the room
• 10X thinker — identifies bets that 10x customer value, not incremental improvements

  The estimated pay for this role tanges between $150,000 – $180,000 plus variable, benefits, perks and equity.

Job Req ID: 2669