Salesforce / HubSpot Administrator - Revenue Systems (SaaS) - RemoteSalesforce / HubSpot Administrator – Revenue Systems (SaaS)Role Type: ContractorLocation: RemoteWe are seeking experienced Salesforce / HubSpot Administrators – Revenue Systems (SaaS) to support a customer project focused on operational excellence across CRM and revenue systems.You'll use your CRM expertise to evaluate real-world SaaS operations, resolve data and process inconsistencies, and help improve how AI systems understand complex business workflows.
No prior AI experience is required.Scope of WorkAudit CRM and integrated revenue systems for inconsistencies, outdated policies, duplicate records, and automation issues.Analyze policy conflicts and determine appropriate business rules.Review and reconcile data across CRM and connected platforms.Create clear operational prompts and documentation for complex SaaS scenarios.Document recommended system changes and operational decisions.Assess the impact of CRM changes on billing, CPQ, ticketing, and other integrated tools.Provide insights on CRM optimization, system design, and sustainable governance.Preferred Qualifications4–6 years of hands‐on experience with Salesforce, HubSpot, Microsoft Dynamics 365, or similar CRM platforms.Experience leading CRM implementations, migrations, consolidations,



or rollouts.Strong knowledge of fields, objects, flows, validation rules, automation, and permissions.Experience with at least two revenue or operational systems such as billing, CPQ, ticketing, or integration platforms.Working knowledge of SQL, APIs, data models, and cross‐system data reconciliels for efficient serving to integrating these solutions on resource‐constrained devices is required.
Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints.
You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency.
Distributed Inference Systems: Designing and optimizing high‐performance inference engines using techniques like Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism to handle massive models on GPU clusters.
Deep understanding of the math and structure behind Diffusion Models and Vision Transformers
Understanding of Pruning, Quantization, Flash attention, KV Cache, Speculative Decoding (Eagle) etc.
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📌 Remote Salesforce & Hubspot Admin — Revenue Systems (Buenos Aires)
🏢 Anyone AI
📍 Buenos Aires