The role focuses on expanding Acceldata's strategic partnership with ServiceNow by identifying joint customer opportunities and driving adoption of solutions for CMDB data quality. The manager will build relationships with ServiceNow teams and collaborate internally to execute go-to-market motions.
Act as the technical expert to demonstrate the value of Hadoop Observability and Open Data Platform solutions to prospective customers. Collaborate with sales and product teams to design tailored technical solutions, lead POCs, and develop technical proposals.
Build and lead the sales enablement function from the ground up, focusing on onboarding, ongoing training, and certification for global field teams. Partner with Product and Revenue Operations to shorten ramp times and increase win rates through value-based selling and product readiness.
Own the end-to-end execution of strategic enterprise deals and build the Deal Desk function from the ground up. Partner with Sales, Finance, and Legal to optimize pricing, protect margins, and accelerate contract cycle times.
Lead and scale the North American enterprise sales team to drive new logo ARR through rigorous MEDDPICC and Challenger methodologies. Partner cross-functionally with Product, Marketing, and Customer Success to refine GTM strategy and ensure long-term customer health.
Develop and execute strategic sales plans to drive revenue growth and expand the customer base within the assigned territory. Collaborate with cross-functional teams and manage partner relationships to ensure successful client engagement and deal closure.
Develop and execute strategic sales plans to achieve revenue targets within the assigned territory while managing relationships with key decision-makers. Collaborate with cross-functional teams and lead contract negotiations to close new enterprise accounts and expand existing customer relationships.
The engineer will provide tier-2/3 support for Hadoop clusters and lead product support during migrations and upgrades. They are responsible for optimizing distributed big data applications to ensure high-throughput and low-latency performance.
