Solutions Consultant
Location:
Madrid / Spain - Hybrid
Team:
Client Services
Welcome to Maisa - Making AI Accountable!
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.
About the role...
We're seeking a Solutions Consultant to join our Client Services team. 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
.
What you'll do...
Discovery and Analysis
- 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
Solution Design
- 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
Handoff and Design Integrity
- 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
Stakeholder and Team Collaboration
- 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
What you'll bring...
- 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
Why join Maisa!
You will be joining one of Europe's most exciting early-stage AI start-ups, where you'll have the opportunity to work with cutting-edge Agentic Process Automation that's reshaping how enterprises approach AI deployment. You'll directly influence how major multinational organizations transform critical business processes, working on genuinely differentiated technology that solves real enterprise AI challenges.
Following our recent $25m Seed Round, backed by leading Venture Capital firms including Creandum, Forgepoint, NFX, and Village Global, we're scaling quickly and realising significant enterprise traction. This is your opportunity to work alongside deep technical and industry experts, where you will be challenged daily and accelerate your development.
Maisa is committed to Equal Employment Opportunity through attracting and retaining a complementary team of employees and building an inclusive environment for all.
