Lead SAP CRM functional consultant responsible for CRM Sales, Service, and Customer Interaction Center solutions. Duties include business-process and requirements gathering, blueprinting, gap analysis, configuration, test case development, integration with third-party systems, and end-user training. Focus areas: Order Management, Pricing & Billing, CTI/Web Chat for CIC, and case management. Must have completed at least two full life-cycle SAP CRM and ERP implementations.
Company Description
Job Description
Role: SAP CRM System Integrator Lead
Duration: 6 months.
compensation: No constraint for the right candidate.
Scope of Work
SAP CRM Lead Require Sr. CRM functional consultant with lead experience. Responsible for delivering solutions in the areas of CRM Sales, Service and Interaction center modules. Will take part in Business process and requirement gathering session, Blue printing, gap analysis, configuration, test cases and end user training. Experienced in the following areas
• Sales modules (Order Management, Pricing & Billing)
• Customer Interaction Center (with CTI Integration, Web Chat etc.)
• CRM Service – Case management
• Integration with third party systems Must have at least 2 complete life cycle implementations of SAP CRM & ERP.
Similar Jobs
.png){kind=logo}
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Design, build, test, and operate scalable software services for Expedia's lodging inventory platform. Own complex components, contribute to architecture and API design, troubleshoot distributed systems, improve reliability through monitoring and automation, and collaborate across engineering and product teams. Apply Kotlin, functional programming, SQL, NoSQL databases, cloud technologies, CI/CD, and AI/ML-enabled solutions to deliver secure, high-availability systems.
Top Skills:
Amazon AuroraAmazon DocumentdbAmazon DynamodbAPIsCi/CdJvmKotlinMongoDBNoSQLSQL
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Own end-to-end machine learning projects supporting marketplace trust, safety, and health. Develop models, experiments, and analyses; deploy and monitor production systems; translate ambiguous business problems into scalable solutions; and evaluate impact, risk, and feasibility. Collaborate with product, engineering, operations, and trust-and-safety stakeholders while communicating technical findings and recommendations to technical and non-technical audiences.
Top Skills:
Large Language Models (Llms)Machine Learning Libraries And FrameworksPythonSQL
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Design, build, and operate scalable ML systems and services end-to-end: data sourcing, feature engineering, model development, deployment, monitoring, and operational support. Collaborate across product, data, and engineering, drive ML best practices, and mentor other engineers to improve model reliability, performance, and observability.
Top Skills:
APIsCi/Cd For ModelsDistributed Training FrameworksFeature StoreInference OptimizationJavaLarge-Scale Data PipelinesMicroservicesMl WorkflowsModel RegistryModern Ml PlatformsObservability/MonitoringPython
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
