Workato
About Workato
Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI‑powered platform enables teams to navigate complex workflows in real‑time, driving efficiency and agility. Role Overview
We seek an exceptional Senior Solution Consultant (Presales) based in North America to join our growing team. This role reports to our Global VP of Solutions Consulting and will play a key role in shaping a vision for our customers. It will also be the trusted advisor on Workato’s AI Agentic capabilities to provide thought leadership, best practices, and help scale and drive adoption to achieve strategic initiatives. Responsibilities
Collaborate with cross‑functional customer teams, including data scientists, software engineers, AI leaders, and Architects, to showcase how Workato Agentic can change their work. Work closely with Sales AEs, Solution Architects, and other functions to evangelize our Agentic and AI capabilities, approach to delivering Workato Agent solutions and AI‑infused use cases, and architecture tailored to the customer’s AI use cases. Articulate and educate on AI, Generative AI and Agentics architectural concepts to a variety of audiences, including digital leaders, AI engineers, prompt developers, data architects, enterprise architects, IT ops and line of business, marketing ops, finance ops, people ops. Assist sales teams with technical discovery with customer prospects and architect/build AI blueprint solutions using Workato products. Create and deliver custom product demonstrations, AI Agentic use cases. Support solution accounts to execute technical workshops and proof of concepts (POCs), on‑site or remote. Respond to functional and technical elements of RFIs/RFPs. Collect feedback from the field, synthesize, analyze, and channel it to product management and engineering for the AI agentic product roadmap. Support marketing with developer marketing and evangelism activities, including writing blogs, participating in demo‑driven webinars and speaking at industry events. Stay updated on the latest Agentics, AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects. Requirements
Bachelor’s Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands‑on experience in AI development. Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects. 06‑10 years of pre‑sales experience in a SaaS/iPass organization. Familiarity with LLMs and direct experience developing or supporting chat‑based AI applications. Strong understanding of prompt engineering, RAG, vector databases, function calling, chain of prompt reasoning, and other state‑of‑the‑art techniques to improve LLM behavior and performance. Hands‑on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock and Anthropic. Good working knowledge of these APIs as opposed to just chat‑based interfaces. Hands‑on experience with iPaaS technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases. Knowledge of Python programming (or familiarity with object‑oriented programming). Qualifications
Ability to learn new concepts, and technologies to solve problems. Excellent presentation abilities and composure in front of all levels of technical and business audiences. Ability to lead architectural discussions. A passion for technology and translating that passion into business impact for customers. Excellent verbal communication, written communication, and presentation skills in front of all audiences. Ability to travel as needed and work flexible hours throughout the sales territory. For California applicants, base pay for this role may range between $110,000 – $140,000 plus variable, benefits, perks, and equity. As set forth in Workato’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
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Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI‑powered platform enables teams to navigate complex workflows in real‑time, driving efficiency and agility. Role Overview
We seek an exceptional Senior Solution Consultant (Presales) based in North America to join our growing team. This role reports to our Global VP of Solutions Consulting and will play a key role in shaping a vision for our customers. It will also be the trusted advisor on Workato’s AI Agentic capabilities to provide thought leadership, best practices, and help scale and drive adoption to achieve strategic initiatives. Responsibilities
Collaborate with cross‑functional customer teams, including data scientists, software engineers, AI leaders, and Architects, to showcase how Workato Agentic can change their work. Work closely with Sales AEs, Solution Architects, and other functions to evangelize our Agentic and AI capabilities, approach to delivering Workato Agent solutions and AI‑infused use cases, and architecture tailored to the customer’s AI use cases. Articulate and educate on AI, Generative AI and Agentics architectural concepts to a variety of audiences, including digital leaders, AI engineers, prompt developers, data architects, enterprise architects, IT ops and line of business, marketing ops, finance ops, people ops. Assist sales teams with technical discovery with customer prospects and architect/build AI blueprint solutions using Workato products. Create and deliver custom product demonstrations, AI Agentic use cases. Support solution accounts to execute technical workshops and proof of concepts (POCs), on‑site or remote. Respond to functional and technical elements of RFIs/RFPs. Collect feedback from the field, synthesize, analyze, and channel it to product management and engineering for the AI agentic product roadmap. Support marketing with developer marketing and evangelism activities, including writing blogs, participating in demo‑driven webinars and speaking at industry events. Stay updated on the latest Agentics, AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects. Requirements
Bachelor’s Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands‑on experience in AI development. Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects. 06‑10 years of pre‑sales experience in a SaaS/iPass organization. Familiarity with LLMs and direct experience developing or supporting chat‑based AI applications. Strong understanding of prompt engineering, RAG, vector databases, function calling, chain of prompt reasoning, and other state‑of‑the‑art techniques to improve LLM behavior and performance. Hands‑on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock and Anthropic. Good working knowledge of these APIs as opposed to just chat‑based interfaces. Hands‑on experience with iPaaS technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases. Knowledge of Python programming (or familiarity with object‑oriented programming). Qualifications
Ability to learn new concepts, and technologies to solve problems. Excellent presentation abilities and composure in front of all levels of technical and business audiences. Ability to lead architectural discussions. A passion for technology and translating that passion into business impact for customers. Excellent verbal communication, written communication, and presentation skills in front of all audiences. Ability to travel as needed and work flexible hours throughout the sales territory. For California applicants, base pay for this role may range between $110,000 – $140,000 plus variable, benefits, perks, and equity. As set forth in Workato’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
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