Own the full sales cycle for net-new enterprise customers in a defined US territory (mid-market to large/global enterprises).
Develop and execute territory and account plans with clear target industries, accounts, and stakeholder maps.
Sell to CFO, CIO, GBS / Shared Services leaders and process owners across P2P, O2C, R2R, H2R, aligning multi-stakeholder buying groups.
Generate and grow pipeline through proactive outbound, executive networking, partner collaboration (e.g., Big4, advisory), and inbound conversion with a pipeline-first mindset.
Run structured discovery and build metrics-backed business cases for AP, P2P, O2C, R2R, H2R, tax and working-capital initiatives.
Apply formal sales methodologies (e.g., MEDDPIC / MEDDICC) for qualification, deal inspection, and governance; build strong champions and multi-threaded relationships.
Coordinate Solutions Consulting, Customer Success, Product and Partners for demos, POVs and value assessments.
Maintain rigorous forecasting, CRM hygiene and documentation, treating it as a checklist for success, not an administrative task.
Requirements
5–10+ years of enterprise B2B SaaS experience with consistent quota attainment.
Experience selling into Finance, GBS / Shared Services or BPO, ideally with exposure to P2P, O2C, R2R, H2R.
Background in AP / finance automation, IDP/document AI, ERP-adjacent platforms (SAP, Oracle, Workday), workflow, RPA or AI/data platforms is a plus.
Hands-on use of MEDDPIC / MEDDICC or similar methodologies, including stakeholder mapping, economic buyer access, and mutual action plans.
Strong at champion building, multi-threading and managing complex decision processes.
Daily operator in Salesforce and/or HubSpot, using the CRM as the central operating system for pipeline and forecast.
Understands they are in control of their own destiny and consistently builds their own pipeline rather than relying on others.
Genuine interest in AI, automation and GBS / finance transformation.
Able to quickly gain working knowledge of AI agents, LLM-based solutions and intelligent document processing, and translate them into clear business value for CFO, CIO and GBS stakeholders.
Comfortable bridging business and technical discussions (value, architecture, implementation considerations).