Senior Account Executive, Digital Natives

Posted: 2026-10-01

- Accelerate the Digital Native Segment: Lead strategic territory planning and aggressive pipeline execution across India’s premier digital native organisations, technology unicorns, and venture-backed scale-ups.

- Drive Velocity & High-Impact Sales Cycles: Execute agile, value-based consultative sales strategies (MEDDPICC) tailored to fast-paced Tech Founders, CTOs, Chief Data/AI Officers, and VP/Directors of Engineering.

- Land & Scale Rapidly: Acquire high-growth digital native logos and rapidly expand workloads, driving product adoption into new engineering pods and AI/analytics initiatives.

- Leverage Cloud Ecosystems: Co-sell and align strategic deal plans with cloud partners (AWS, Microsoft Azure, Google Cloud) to capitalize on digital native cloud spend and marketplace acceleration.

- Orchestrate High-Performance Teams: Collaborate closely with Pre-Sales/Solutions Engineering, Developer Relations, Field Marketing, and Customer Success to run rapid, impactful Proofs of Concept (POCs) and tech evaluations.

- Maintain Pipeline Discipline: Drive predictable forecasting, deal velocity, and pipeline hygiene within Salesforce.com.

- Location Requirement: Based in Bangalore, India.

- 8+ years of direct software sales experience, with a strong track record selling cloud database platforms, developer tools, SaaS, or data/analytics infrastructure to high-growth tech or digital native companies in India.

- Proven Track Record: Consistent history of exceeding quotas, managing high-velocity deal cycles, and expanding annual contract values (ACVs) in competitive environments.

- Methodology Mastery: Proficiency in structured sales frameworks (MEDDPICC, Command of the Message) adapted for fast-moving product and engineering teams.

- Tech-Forward Network: Strong existing relationships with engineering leaders, data architects, and C-level tech executives across the local digital native and startup ecosystem.

- Deep understanding of modern developer ecosystems, cloud-native database platforms, distributed systems, or AI/ML technologies (e.g., LLMs, vector search, graph analytics).