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.
Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at 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

QUALIFICATIONS / EXPERIENCE / TECHNICAL SKILLS

• 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.
• 6-10 years of pre-sales experience in a SaaS/iPass organization.
• Familiarity with LLMs and has directly interacted with the development or support of 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 like Claude and ChatGPT.
• 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 understanding/familiarity with object-oriented programming).

SOFT SKILLS / PERSONAL CHARACTERISTICS

• 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 to work flexible hours throughout the sales territory.

We seek an exceptional Senior Solution Consultant (Presales) based in Australia to join our growing team. This role will report to our Director, Solutions Consulting ANZ and will play an integral role in creating 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 its strategic initiatives.
In order to be successful in this role, you must be able to articulate technology and communicate the value of Workato’s products to prospective business and technical users and buyers with a focus on enterprise applications. You will also help shape the product and direction of the company by communicating market needs to the Product Management team
As a Senior Solutions Consultant, you will be part of Workato’s Presales Team and Architecture community and you will own the technical alignment with the customer during the pre-sales lifecycle through workshops and interactions that will define the customer’s future state for AI and Agentics.
This is a role for the ASIA based role. Proximity to Singapore is preferred. In this role, you will enable our clients to become proficient on Workato’s Agentic Platform, empowering their employees and building AI Agent solutions for their business.

You will also be responsible to:

• Collaborate with cross-functional customer teams, including data scientists and software engineers, AI leaders, and Architects, to show how Workato Agentic can change their work.
• Effectively team with Sales AEs, Solution Architects, and other functions to evangelize our Agentic and AI capabilities, our 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 engineer, prompt developers, data architects, enterprise architects, IT ops and line of business, marketing Ops, Finance Ops, People Ops etc.
• Assist sales teams with technical discovery with customer prospects and be able to architect/build AI blue print 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
• Able to 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.