Role Description Zaelab is seeking a Lead CPQ Solution Engineer to help drive the growth of our CPQ & CRM practice, with a focus on Logik.ai and ServiceNow Sales and Order Management & ServiceNow CPQ. This role sits at the intersection of sales, solution architecture, and delivery, working closely with enterprise clients to design scalable solutions that transform complex quoting and order orchestration processes. The ideal candidate is both technically strong and client-facing, able to translate complex business requirements into solution architectures, compelling demos, and well-defined implementation scopes. As a Lead CPQ Solution Engineer, you will play a critical role in supporting pre-sales engagements and shaping solution delivery by designing scalable architectures for CPQ and order orchestration. You will collaborate with sales, delivery teams, and platform partners to develop compelling solution narratives, accurate project estimates, and technically sound implementation plans. This role requires deep knowledge of CPQ systems, strong consulting skills, and the ability to communicate complex solutions clearly to both business and technical stakeholders. The position is remote but can require travel for partner enablement, client workshops, and industry events up to (2) times per month. This typically averages out to once a month over the course of the year. Responsibilities - Lead discovery sessions with prospective clients to understand business processes, quoting requirements, pricing models, and order orchestration needs. - Develop accurate project estimates including timelines, resource plans, and budget expectations. - Translate client requirements into clear functional designs and technical solution architectures. - Design and deliver tailored product demonstrations that highlight the value of Logik.ai and ServiceNow Sales and Order Management, & ServiceNow CPQ solutions. - Collaborate with sales teams to craft compelling solution narratives and presentations aligned to specific industries and use cases. - Serve as the primary technical advisor during the sales cycle, addressing customer questions and guiding solution decisions. - Support the development of proposals and Statements of Work with detailed scope definitions, assumptions, and implementation approaches. - Conduct technical workshops, architecture sessions, and solution deep dives with prospects and clients. - Ensure smooth handoff from presales to delivery by documenting requirements, solution designs, and project scope. - Participate in project kickoff sessions to align delivery teams on client expectations and solution architecture. - Provide ongoing advisory support to delivery teams and project leadership when needed. Qualifications - 7+ years of experience implementing or architecting CPQ, order management, or enterprise commerce solutions. - Hands-on experience with ServiceNow CPQ (Logik.ai) or ServiceNow Sales and Order Management strongly preferred. - Experience designing complex pricing models, product configuration logic, and quote-to-cash workflows. - Strong understanding of enterprise architecture concepts including integrations, APIs, and system orchestration. - Experience supporting enterprise pre-sales cycles including demos, solution architecture, and proposal development. - Ability to translate complex technical concepts into clear business value for executive and technical stakeholders. - Excellent communication, facilitation, and presentation skills. - Experience working with cross-functional teams including sales, delivery, finance, and product teams. Preferred Experience - Experience with enterprise platforms such as Salesforce, ServiceNow, or other CPQ ecosystems. - Familiarity with enterprise lead-to-cash processes and order orchestration frameworks. - Experience working in consulting or professional services environments. - Certifications in ServiceNow or relevant partner platforms. Benefits - Unlimited Vacation/PTO - Full Health Benefits and 401k Fixed Percentage Plan (USA only) RRSP (Canada) - Fully remote and distributed teams - Paid Parental Leave - Ongoing training and education opportunities - 0% Bureaucracy Culture - Focus is on responsibilities, not title

• Design, develop, and deploy automated workflows using n8n and other low-code/no-code tools to improve operational efficiency across IT, HR, Legal, Finance, Customer Service, and other back-office functions. • Build agentic AI solutions and AI-infused automations that go beyond simple task-to-task hand-offs, incorporating LLMs, decision logic, and intelligent routing. • Own automation projects end-to-end: scoping, development, testing, deployment, and ongoing maintenance. • Integrate across OLX's tooling landscape - Atlassian (Jira, Confluence), Slack, Google Workspace, SAP, Coupa, and others - via RESTful APIs and JSON to create seamless cross-system workflows. • Write, test, and debug scripts in Python or JavaScript for complex logic, data manipulation, and custom API error handling. • Maintain and support the n8n automation platform and its surrounding infrastructure. • Run discovery sessions with business and back-office teams to identify tasks and processes that can be improved, accelerated, or reimagined through AI. • Lead workshops, hackathons, and training initiatives that build AI fluency across the organisation, making these tools accessible to non-technical colleagues. • Conduct proof-of-concepts and proof-of-values on new AI tools and SaaS products, translating findings into clear recommendations for adoption or investment. • Create and maintain a library of prompts, playbooks, and ready-to-use AI workflows that teams can pick up and apply immediately. • Provide hands-on consulting to teams running AI-related projects — from prototype to production. • Evaluate emerging AI capabilities and keep the organisation informed on what matters and what doesn't. • Mentor junior engineers and promote best practices within the team. • Collaborate with team leadership to shape the roadmap and prioritise high-impact initiatives. • Drive continuous improvement by identifying patterns across departments and sharing reusable solutions.

• Design, develop, and deploy automated workflows using n8n and other low-code/no-code tools to improve operational efficiency across IT, HR, Legal, Finance, Customer Service, and other back-office functions. • Build agentic AI solutions and AI-infused automations that go beyond simple task-to-task hand-offs, incorporating LLMs, decision logic, and intelligent routing. • Own automation projects end-to-end: scoping, development, testing, deployment, and ongoing maintenance. • Integrate across OLX's tooling landscape - Atlassian (Jira, Confluence), Slack, Google Workspace, SAP, Coupa, and others - via RESTful APIs and JSON to create seamless cross-system workflows. • Write, test, and debug scripts in Python or JavaScript for complex logic, data manipulation, and custom API error handling. • Maintain and support the n8n automation platform and its surrounding infrastructure. • Run discovery sessions with business and back-office teams to identify tasks and processes that can be improved, accelerated, or reimagined through AI. • Lead workshops, hackathons, and training initiatives that build AI fluency across the organisation, making these tools accessible to non-technical colleagues. • Conduct proof-of-concepts and proof-of-values on new AI tools and SaaS products, translating findings into clear recommendations for adoption or investment. • Create and maintain a library of prompts, playbooks, and ready-to-use AI workflows that teams can pick up and apply immediately. • Provide hands-on consulting to teams running AI-related projects — from prototype to production. • Evaluate emerging AI capabilities and keep the organisation informed on what matters and what doesn't. • Mentor junior engineers and promote best practices within the team. • Collaborate with team leadership to shape the roadmap and prioritise high-impact initiatives. • Drive continuous improvement by identifying patterns across departments and sharing reusable solutions.

• Own iteration, bug fixing, regression testing, and version upgrades across all AI capability deployed into the Sales division. • Maintain release readiness as underlying platforms (Claude, Agentforce, Salesforce, MCP-connected systems) ship new versions or features. • Run a prioritised backlog informed by field feedback, vendor changes, and the strategic roadmap. • Deliver technical builds against design and direction set by the Senior Director, across whichever stack the current initiative requires. • Expected platforms today include Claude skills authoring, Agentforce configuration, Salesforce platform fluency (e.g. metadata, data model, pipeline integrity, deduplication, enrichment logic, and data hygiene at the layer the AI builds depend on), MCP connectors, and knowledge-graph-style data layers. • Write, review, and harden code, configuration, and prompts to a production standard. • Steward the data quality of the CRM and semantic layer that the AI portfolio reads from.