Account Executive Enterprise Sales, Financial Services
Employment Info
JOB SUMMARY
Requirements
- Proven success selling enterprise Software as a Service to Vice President and Chief-level stakeholders at Australian Securities Exchange Top 100 companies, including Financial Services.
- Demonstrated ability to run complex solution sales motions with large buying groups across business and information technology.
- Strong track record of pipeline generation, account planning, and consistent quota overachievement across the Australia and New Zealand Region.
- Deep familiarity with value selling, MEDDPICC, and strategic forecasting methodologies.
Responsibilities
- Own and drive strategic sales cycles across a portfolio of named enterprise accounts across the Financial Services Sector, focused on both new business and expansion across ANZ.
- Execute a disciplined territory and account planning strategy, with an emphasis on pipeline generation, multi-threading, and long-term growth.
- Apply value-based selling approaches to align Pendo’s platform capabilities with each customer’s unique strategic and technical priorities.
- Engage deeply with C-suite and Vice President-level buyers, fostering urgency and clarity throughout the sales process.
- Build and deliver tailored points of view, proof-of-value engagements, and business cases using frameworks like MEDDPICC and Force Management.
- Partner closely with cross-functional stakeholders including Solutions Engineers, Customer Success, and Product to ensure strategic alignment and deal velocity.
- Be in the field regularly—meet prospects onsite to deepen relationships, accelerate timelines, and differentiate.
- Track and forecast with precision using Salesforce, Clari, Gong, and other tools, using data to drive decision-making.
Desired Qualifications
- Experience selling in competitive SaaS environments (e.g., product analytics, data/AI, digital adoption platforms).
- Expertise in developing territory strategy and owning pipeline generation end-to-end.
- Exposure to AI/ML or data-focused customer conversations.
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