Senior ServiceNow Architect — CPQ
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Description
Senior ServiceNow Architect to build and extend CPQ and quote-to-order solutions within ServiceNow's CRM and Industry Workflows portfolio, working across Sales and Order Management (SOM), Customer Service Management (CSM) and the Logik.ai-powered CPQ capability.
This is a hands-on platform development role for an experienced ServiceNow architect with demonstrable AI capability on the Now Platform. ServiceNow development experience and AI/Now Assist experience are both prerequisites. CPQ-specific and Logik.ai product knowledge can be developed on the job for a candidate who already brings the platform and AI foundation.
Duties and responsibilities
· Design, develop and configure solutions across Sales and Order Management, CSM and CPQ, including product catalogue, quoting, pricing logic and order orchestration.
· Build and extend CPQ capability on the Logik.ai-powered stack: configuration rules, pricing logic, transaction handling, and integration with the wider ServiceNow order lifecycle.
· Develop AI-enabled capability using Now Assist and AI Agent Studio — designing AI agents, skills and prompts to support quoting, product discovery and sales workflows.
· Build integrations between CPQ/SOM and external systems (CRM, ERP, billing) using REST APIs, IntegrationHub and custom spokes.
· Develop scoped applications, business rules, script includes, flows and UI (UI Builder / Now Experience) to the highest technical standard.
· Translate commercial requirements — product structures, pricing, discounting, approvals — into maintainable platform logic.
· Guide and review the work of mid-level and junior developers; act as a technical reference point for CPQ and AI-related build decisions.
· Contribute to the growth of the practice's CPQ and AI capability: reusable assets, standards and internal knowledge sharing.
· Support scoping and estimation of CPQ and AI workstreams.
Required Qualifications & Experience
The position requires working from the office in Madrid 2-3 days per week .
Academic Background
· Degree or equivalent in Computer Science, Information Technology, Engineering or a related field.
Professional Certification — required
· ServiceNow Certified System Administrator (CSA) — required.
· ServiceNow Certified Application Developer (CAD) — required.
· CIS certification in a CRM-family product line (CIS-CSM or equivalent) — strongly preferred.
· Note: no standalone ServiceNow certification currently exists for Now Assist / AI or agentic capability. AI experience will be assessed through demonstrated hands-on build work, not certification.
Years & Area Experience
· 4+ years of hands-on ServiceNow platform development. Non-negotiable.
· Demonstrable delivery experience in ServiceNow CRM and Industry Workflows — Sales and Order Management, CSM, Product Catalogue or Order Management.
· Hands-on experience building AI capability on the Now Platform — Now Assist, AI Agent Studio, AI agents, or Virtual Agent/Predictive Intelligence at a build (not demo) level.
Technical skills — required
· Strong ServiceNow scripting: JavaScript, GlideRecord, server-side and client-side scripting, script includes, business rules, ACLs.
· Flow Designer, IntegrationHub, scoped application development.
· REST/SOAP API integration, authentication patterns (OAuth/JWT), transform maps and data import.
· Now Assist / AI Agent Studio: configuring AI agents and skills, prompt design, grounding AI in platform data.
· UI development: UI Builder / Now Experience or Service Portal.
· Automated Test Framework (ATF) and source control (Git) / update-set discipline.
Technical skills — desired (ramp-up areas, not entry filters)
· Logik.ai experience — configuration and solving engine, pricing logic, composable/API-first implementation patterns. Rare in the market; treated as a strong differentiator.
· CPQ domain knowledge: product configuration, constraint-based rules, pricing and discounting models, quote-to-cash processes.
· CPQ experience on other platforms (Salesforce CPQ / Revenue Cloud, Oracle CPQ, SAP CPQ/Callidus, Conga, PROS, Tacton).
· Agentic AI patterns beyond the platform: MCP-based integrations, multi-agent orchestration.
· Industry exposure to complex-product sectors: manufacturing, high-tech, telecommunications, industrial, medical devices.
Soft skills
· Strong ownership and accountability for technical quality and delivery.
· Able to communicate with commercial stakeholders (sales, pricing, finance) as well as technical teams.
· Analytical mindset; able to decompose complex commercial rules into structured, maintainable logic. <