Solutions Consultant

Maisa

Barcelona

Híbrido

EUR 60.000 - 90.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Opportunity to work with cutting-edge technology
Participation in a rapidly growing start-up environment

Descripción de la vacante

Maisa is seeking a consultancy expert to lead process discovery and design TO-BE automation solutions. The role requires strong communication skills and technical expertise to bridge between business and engineering teams.

As part of a cutting-edge AI start-up, you'll work on major projects transforming how enterprises leverage AI, while receiving support and resources from industry leaders.

Formación

  • Demonstrable experience in consultancy across solutions architecture or process consulting.
  • Proven experience working with enterprise clients on process transformation.
  • Strong process mapping skills comfortable with AS-IS/TO-BE methodologies.
  • Ability to produce clear technical specifications for engineering teams.
  • Hands-on experience applying AI in business contexts beyond prompting.

Responsabilidades

  • Lead process discovery sessions uncovering automation opportunities.
  • Design TO-BE processes with Digital Workers defining automation value.
  • Hand off specifications ensuring clarity and completeness.
  • Own client relationship translating between business and technical audiences.
  • Collaborate with Product and Engineering to share insights.

Conocimientos

Consultancy experience
Process mapping skills
Technical specifications
Communication skills
Fluent in Spanish and English

Educación

Bachelor's or Master's degree in IT, Business, or related field

Descripción del empleo

Location: Valencia / Madrid / Barcelona - 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.

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
  • 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
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 is 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 are scaling quickly and realizing 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.

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