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Remote territory-focused hunter role driving mid-market new client acquisition and cross-sell for Presort Services. Responsibilities include prospecting, pipeline generation, consultative selling to C-suite, territory planning, market intelligence, CRM-driven forecasting, and industry networking. Targets multiple new accounts and approximately $2M in new revenue, with 35–50% travel.

Early-career sales role focused on outbound prospecting, pipeline development, and supporting Growth AEs. Manage Salesforce and SalesLoft cadences, engage prospects via phone/email/LinkedIn, support demos and territory planning, and build USPS and partner relationships. West Coast residency required; training provided toward a quota-carrying Growth AE role.

Early-career sales role focused on outbound prospecting, pipeline generation, and support for Growth AEs. Maintain Salesforce and SalesLoft activity, engage prospects, qualify opportunities, join customer meetings, and develop skills to advance into a quota-carrying Growth Account Executive position.

Drive mid-market new client acquisition and revenue growth for Presort Services across an assigned Northeast territory. Prospect, qualify, negotiate, and close deals while managing pipeline in Salesforce. Develop territory plans, monitor competitors and market trends, pursue cross-sell opportunities, and represent the company at industry events. Target C-suite/VP stakeholders and deliver value-based presentations to demonstrate ROI.

Perform daily client billing and accounts receivable tasks: enter and verify mail counts, postage and meter balances, prepare invoices, maintain customer and permit records in POInTS, call customers on collections, coordinate with operations and QA on mail issues, manage vendor invoices and procurement card, support visitor check-in, and produce client reports and surveys to maintain relationships and billing accuracy.

Senior technical leader responsible for enterprise AI and data architecture. Own the AI/data strategy and architecture roadmap, build scalable cloud-native data and AI platforms (lakehouse, data mesh), establish MLOps/LLMOps and model lifecycle practices, enforce data governance and responsible AI, partner with security and product teams, and mentor architecture and engineering teams to drive production-grade AI adoption.