Responsibilities
- Serve as the primary executive technical advisor to customer CIOs, CTOs, and senior business stakeholders
- Own the long-term customer architecture and automation strategy, aligned to business priorities and enterprise standards
- Lead executive-level discussions on platform adoption, operating models, governance maturity, and technology investment decisions
- Act as the single point of accountability for post-sales technical strategy and architectural decisions for flagship accounts
- Shape and guide customers’ AI and agentic automation journeys, leveraging Workato’s AI capabilities and ecosystem
- Advise on the design and adoption of agent-based workflows, human-in-the-loop models, and decision automation
- Partner with customer executives to define enterprise MCP (Model Context Platform / orchestration) strategies, including: Context management across applications, data, and workflows
- Secure orchestration of AI agents and automations
- Governance, observability, and lifecycle management for AI-driven systems
- Align AI and agentic initiatives with enterprise security, compliance, and risk requirements
- Translate emerging AI capabilities into practical, scalable enterprise use cases that drive measurable business outcomes
- Drive software expansion, adoption depth, and renewal confidence through strategic advisory and roadmap alignment
- Identify and shape multi-year expansion opportunities tied to automation, integration, and AI-driven transformation
- Partner with Account Executives and Customer Success leadership on account strategy, risk mitigation, and executive alignment
- Track, articulate, and executive-report value realization outcomes linked to Workato adoption
- Lead high-impact professional services engagements requiring executive-level judgment and architectural depth
- Apply and evolve Workato advisory methodologies, including GEARS and Embedded Product Guide, across customer environments
- Guide customers through: Enterprise automation and integration target-state definition
- Prioritization of integration, automation, and AI use cases
- Advanced prototyping and accelerator-led delivery
- Recipe and agent lifecycle management best practices
- Advise on enterprise operating models that enable scalable automation and AI adoption
- Define and enforce architecture principles, standards, and guardrails across customer implementations
- Act as escalation authority for non-standard architectures, AI design exceptions, and complex trade-offs
- Guide customers on governance models covering integration, automation, and AI agents
- Ensure solutions are scalable, secure, and aligned with long-term enterprise architecture objectives
- Contribute to the evolution of Workato’s architecture frameworks, AI patterns, and best practices
- Create reusable executive-level assets such as reference architectures, strategy decks, and white papers
- Serve as a Workato evangelist, articulating platform value across automation, integration, and AI
- Mentor and enable Strategic Advisors, Technical Architects, and extended post-sales teams
- Support partner enablement and delivery excellence across the Workato ecosystem
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
- 20+ years of technology transformation consulting experience, including integration, middleware, or API management platforms
- 15+ years in an Enterprise Architect, Digital Architect, or similar senior architecture role
- Demonstrated experience advising C-level executives on technology strategy and enterprise transformation
- Strong understanding of enterprise security, governance, and operating models
- Proven track record of driving platform expansion and value realization through professional services
- Excellent executive communication skills, including board-level presentations and strategic documentation
- Ability to operate independently in complex, ambiguous environments and take ownership of outcomes
- Travel to the client site up to 50%, but may be higher or lower based on prevailing circumstances
Nice to Have
- Master’s (but not required) in Computer Science, Software Engineering, Business, or in a related field.
- Bachelor’s degrees and those with non-traditional but similar proven experiences may also apply.
- Knowledge of key applications such as Salesforce, Netsuite, Workday, ServiceNow, SAP, EBusiness Suite, Databases
- Knowledge of AWS, Azure, and GCP
- Experience having worked in a start-up environment
Work Arrangement
Hybrid
Additional Information
- Travel to the client site up to 50%, but may be higher or lower based on prevailing circumstances
