Senior Solutions Consultant
WorkatoLondon, United KingdomPosted 30 March 2026
Job Description
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
Responsibilities
As a Senior Solution Consultant – Agentic MCP Specialist at Workato, you will own the technical win strategy for agentic AI and MCP across strategic enterprise opportunities driving measurable revenue impact and influencing deal outcomes. You will partner with enterprise customers and field sales teams across the full sales cycle to evangelise, architect, and validate MCP-based solutions that deliver measurable business outcomes. Combining deep technical credibility with a commercially sharp mindset, you will enable customers and partners to unlock the full potential of agentic AI on the Workato platform, while shaping the broader MCP narrative through thought leadership and close collaboration with Product and Engineering. You will also be responsible to:
Act as the primary technical advisor and evangelist for Workato's Agentic and MCP (Model Context Protocol) capabilities, guiding enterprise customers from initial discovery through to solution design and proof-of-concept delivery
Lead technical discovery sessions and architecture workshops to understand customer AI and automation landscapes, translating business challenges into scalable MCP-based solutions on the Workato platform
Partner with Account Executives and Solutions Consulting teams to drive technical win strategies, delivering compelling demos, RFP responses, and value-based narratives tailored to executive and technical audiences
Enable customers and partners to build, deploy, and operationalise MCP integrations by providing hands-on guidance, reference architectures, and best practice frameworks
Serve as a feedback conduit between field engagements and Workato's Product and Engineering teams, surfacing customer-driven insights to shape the MCP product roadmap
Contribute to the broader SC community through the development of reusable assets, playbooks, and internal enablement content around agentic AI and MCP use cases
Stay at the forefront of the agentic AI ecosystem — including LLM frameworks, tool-calling standards, and enterprise AI governance — to position Workato as the platform of choice for intelligent automation
Requirements
Qualifications / Experience / Technical Skills
5+ years in a Presales, Solutions Consulting, or Technical Consulting role within an enterprise SaaS or AI platform environment
Demonstrable hands-on experience with AI/ML ecosystems, LLM-based architectures, ... (truncated, view full listing at source)
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