Seeking an experienced Salesforce Technical Manager to lead teams, oversee design, and deliver scalable enterprise solutions in Sales Cloud and Service Cloud environments.
Responsibilities
Lead technical teams, code reviews, and solution delivery
Oversee design and delivery of scalable Salesforce solutions
Mentor developers, QAs, and administrators
Establish standards for code quality, security, and performance
Partner with project managers, architects, DevOps, and product owners
Technical Manager for Richemont’s New Foundations SAP S/4HANA transformation programme, responsible for target-state technology architecture and integration strategy.
Responsibilities
Own the target-state technology architecture and define the future SAP S/4HANA-centred landscape
Translate scope and simplification decisions into a viable and scalable architecture blueprint
Define clear ERP boundaries and ensure consistency across the migration
Own the integration and extensibility strategy, including APIs, middleware and event-driven patterns
Assess technical feasibility, dependencies and sequencing
Be one of the architects shaping Donaldson's enterprise technology future, influencing how ERP platforms, enterprise applications, integrations, and cloud technologies evolve across a global manufacturing company.
Compensation
Annual Salary Range: $103,000 – $134,300
Responsibilities
Define the architecture direction and roadmap for ERP and related enterprise applications
Establish reusable architecture patterns and guide decisions around configuration, customization, integration, and process change
Partner with business leaders and Business Relationship Managers to translate business needs into scalable technology solutions
Lead architecture across initiatives involving manufacturing, supply chain, finance, sales, service, and master data
Design and guide integrations between ERP, enterprise applications, data platforms, and cloud services
Lead the engineering team(s) responsible for designing, building, and operating GDF's core data platform capabilities - pipelines, processing frameworks, storage layers, and service APIs that power downstream analytics and AI workloads across Walmart.
Responsibilities
Lead the engineering team(s) responsible for designing, building, and operating GDF's core data platform capabilities
Stay hands-on: write and review production code, prototype solutions to hard technical problems, and participate directly in design and code reviews
Own the engineering roadmap, technical execution, and delivery of scalable, high-throughput data services
Guide architecture and system design decisions across distributed data processing systems, batch and streaming pipelines, data lake/lakehouse storage, and enterprise integrations
Drive the design and evolution of Big Data capabilities - data ingestion, transformation, quality, observability, and governance
Lead enterprise AI system architecture strategy across the full Generative AI platform stack, requiring deep expertise in Generative AI, platform engineering, and scalable cloud architectures.
Compensation
$120,000 - $217,500 Annual
Responsibilities
Own and drive enterprise-wide AI system architecture strategy across the full GenAI platform stack, including shared services, orchestration layers, model integration, APIs, data flows, and downstream enterprise systems.
Define and govern reference architectures, design standards, architecture principles, integration patterns, and cloud design approaches for AI platforms and AI-enabled applications.
Provide strategic technical leadership on scalable, secure, resilient, and compliant AI system design across the organization.
Lead architecture decisions for cloud and hybrid AI environments on AWS, Azure, or Google Cloud, ensuring interoperability, platform reuse, cost efficiency, and operational excellence.
Establish reusable enterprise patterns for RAG, model serving, prompt orchestration, agentic AI workflows, AI gateways, and service integration.
Requirements
Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline
Lead enterprise AI system architecture strategy across the full Generative AI platform stack.
Compensation
Salary Range: $120,000 - $217,500 Annual
Responsibilities
Own and drive enterprise-wide AI system architecture strategy across the full GenAI platform stack, including shared services, orchestration layers, model integration, APIs, data flows, and downstream enterprise systems.
Define and govern reference architectures, design standards, architecture principles, integration patterns, and cloud design approaches for AI platforms and AI-enabled applications.
Provide strategic technical leadership on scalable, secure, resilient, and compliant AI system design across the organization.
Lead architecture decisions for cloud and hybrid AI environments on AWS, Azure, or Google Cloud, ensuring interoperability, platform reuse, cost efficiency, and operational excellence.
Establish reusable enterprise patterns for RAG, model serving, prompt orchestration, agentic AI workflows, AI gateways, and service integration.
Requirements
Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline; Master’s degree preferred.
Lead enterprise AI system architecture strategy across the full Generative AI platform stack.
Compensation
Salary Range: $120,000 - $217,500 Annual
Responsibilities
Own and drive enterprise-wide AI system architecture strategy across the full GenAI platform stack, including shared services, orchestration layers, model integration, APIs, data flows, and downstream enterprise systems.
Define and govern reference architectures, design standards, architecture principles, integration patterns, and cloud design approaches for AI platforms and AI-enabled applications.
Provide strategic technical leadership on scalable, secure, resilient, and compliant AI system design across the organization.
Lead architecture decisions for cloud and hybrid AI environments on AWS, Azure, or Google Cloud, ensuring interoperability, platform reuse, cost efficiency, and operational excellence.
Establish reusable enterprise patterns for RAG, model serving, prompt orchestration, agentic AI workflows, AI gateways, and service integration.
Requirements
Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline; Master’s degree preferred.
Lead enterprise AI system architecture strategy across the full Generative AI platform stack, defining technology standards, cloud design principles, and governance for AI platforms and shared services.
Compensation
$120,000 - $217,500 Annual
Responsibilities
Own and drive enterprise-wide AI system architecture strategy across the full GenAI platform stack, including shared services, orchestration layers, model integration, APIs, data flows, and downstream enterprise systems.
Define and govern reference architectures, design standards, architecture principles, integration patterns, and cloud design approaches for AI platforms and AI-enabled applications.
Provide strategic technical leadership on scalable, secure, resilient, and compliant AI system design across the organization.
Lead architecture decisions for cloud and hybrid AI environments on AWS, Azure, or Google Cloud, ensuring interoperability, platform reuse, cost efficiency, and operational excellence.
Establish reusable enterprise patterns for RAG, model serving, prompt orchestration, agentic AI workflows, AI gateways, and service integration.
Requirements
Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline; Master’s degree preferred.
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