Role Type: Contractor Location: Remote In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required your domain knowledge is what matters. You'll work inside a SaaS company's revenue stack where the operational logic has drifted out of alignment: rules that contradict each other, automations still firing against policy that was retired two years ago, the same customer sitting under two different legal names, permissions that don't match what the documentation says, and grey areas. Scope of Work Audit CRM and integrated revenue systems for contradictions, obsolete policies, duplicate records, and operational inconsistencies. Analyze and resolve policy conflicts, deciding which business rules should take precedence and documenting clear, actionable reasoning. Draft precise operational prompts outlining best practices for handling complex, real-world SaaS data scenarios. Assess and reconcile underlying data to clarify the intended state across platforms and ensure consistency. Document recommended changes as well as areas deliberately left unchanged, supported by sound operational judgment. Evaluate and articulate the impact of proposed changes on connected tools such as billing, CPQ, ticketing, or integration platforms. Contribute insights on system design, optimization, and sustainable CRM governance in a SaaS context. Preferred Qualifications 46 years of hands-on CRM administration or implementation with Salesforce, HubSpot, Microsoft Dynamics 365, or comparable platforms. Proven track record of real-world CRM build-outs, including implementations, migrations, consolidations, or rollouts led independently. Extensive experience configuring fields, flows, validation rules, objects, and permission sets; certifications are appreciated but practical build experience is prioritized. Working knowledge of at least two related revenue or operational systems (e.g., billing, subscription management, CPQ, ticketing, project tracking, integration middleware). Comfort working in the data layer: SQL, APIs, system data models, and cross-system data reconciliation. Background in SaaS environments, with a preference for regulated industries or multi-product complexity. Excellent professional English communication skills, both written and verbal, especially in documenting technical reasoning and operational policy decisions.
Not specified in the original listing.
Not specified in the original listing.
Seed & Sprout is a fast-growing Australian eCommerce brand creating stylish, planet-friendly products that make sustainable living simple and joyful. They have big growth plans for 2026 and are building a warm, collaborative remote team where contrib... Read More