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Our agentic process automation platform helps enterprises automate complex, decision-heavy processes that traditional automation can't handle and GenAI can't be trusted with. We enable organizations to scale operations, resist hallucinations, and bring end-to-end visibility and control to their most complex processes. Powered by a new kind of computing platform, Maisa combines AI-driven problem solving with programmatic execution, so every action is reliable, auditable, and built for enterprise scale. You'll own the engagement from process discovery through solution design, right up to the build line. Your job is to deeply understand client automation use cases, architect the optimal Digital Worker solution, and produce specifications so clear that an AI Automation Engineer can build without ambiguity. You define the what and why; the engineer handles the how.
Job Responsibility:
Lead process discovery sessions with client stakeholders, uncovering automation opportunities and mapping end-to-end workflows
Document AS-IS processes, identify inefficiencies, and assess automation potential
Gather and structure business requirements, constraints, and dependencies
Design TO-BE processes incorporating Digital Workers, defining where and how automation delivers value
Define scope, KPIs, and success criteria for each use case in collaboration with the client and delivery team
Create clear, actionable technical specifications including process flows, decision logic, integration points, and data mappings
Validate that proposed solutions are technically feasible and aligned with business objectives
Hand off specifications to AI Automation Engineers via formal design review, with no ambiguity and no assumptions left undocumented
Remain available during the build phase to clarify design intent and resolve specification questions
Review completed Digital Workers against the original design to confirm business objectives are met
Participate in UAT alongside the engineer to validate the solution matches the designed experience
Own the client relationship throughout the engagement, translating between business and technical audiences
Scope and estimate work under time pressure, iterating as requirements evolve
Validate scope, assumptions, and feasibility on handoffs from pre-sales
Collaborate with Product and Engineering to relay field insights and influence the roadmap
Build reusable solution patterns, templates, and documentation that raise the bar for the whole team
Contribute to SOWs, change requests, and technical delivery documentation
Requirements:
Demonstrable experience in consultancy across solutions architecture, BPM/process consulting, or technical delivery at a relevant top company
Proven experience working with enterprise clients on process transformation or technology implementations
Demonstrated ability to run discovery sessions and whiteboard solution approaches on the spot
Strong process mapping skills, comfortable with AS-IS/TO-BE methodologies
Ability to produce technical specifications that engineering teams can execute against without ambiguity
Hands-on experience applying AI in practical business contexts, beyond prompting ChatGPT
Strong communication skills, able to hold credibility with both technical and business stakeholders
Experience scoping and estimating project work, including with imperfect information
Professional fluency in Spanish and English
Willingness to travel up to 25% of the time
Bachelor's or Master's degree in IT, Business, or related field