Sales Director, Enterprise - Telco

Databricks
Sydney, AustraliaPosted 23 March 2026

Job Description

SLSQ127R202 Databricks Australia is looking for an experienced Sales Director to join its fast-growing Enterprise business in Australia. You will be responsible for leading the team responsible for growing Databricks’ business with some of Australia’s largest and most strategic telecommunications organisations. The team is made up of motivated, capable and coachable Account Executives in Australia. The successful candidate will have a proven track record of inspiring and motivating high-performing teams to thrive in a fast-paced environment, a deep understanding of and established relationships in Australia’s Telecommunications vertical. You will define the go-to-market strategy, influence cross-functional teams, coach a high-performing team, and build long-term partnerships that accelerate data-driven transformation in the telecommunications industry in Australia. The impact you will have: Develop and execute the ANZ Telco growth strategy, aligning with global priorities and local government regulations Build, mentor, and scale a team of experienced Account Executives and Solution Strategists dedicated to the Telco vertical. Create Trust-Based Relationships: Develop long-term, executive-level relationships with customers, partners, and internal cross-functional teams Drive forecast accuracy, resource planning, and sustainable growth through disciplined execution and performance management. Foster a culture that reflects our core values: customer obsession, data-driven decision-making, collaboration, and accountability. Manage the Front-Line Voice of Databricks: Lead your team to effectively communicate Databricks’ value proposition through customer interactions, presentations and proposal submissions Distil Customer Needs and Value: Enable your team to understand their customer’s commercial goals and how they relate to the Databricks value proposition What we look for: 10+ years of experience in sales leadership within the telco space, with a record of driving double-digit growth. Established relationships with the major telcos/service providers in Australia Proven experience leading teams serving government or public sector clients within Cloud, SaaS, or Data Analytics industries. Deep understanding of Australia’s telco ecosystem, procurement frameworks, and their wholesaler structure. Knowledge of machine learning and IOT is preferred. Demonstrated success in building new markets, managing complex sales cycles, and delivering business outcomes. Experience implementing value-based selling frameworks (e.g., MEDDPICC, Challenger, Command of the Message). Strong background in partnerships with major cloud service providers, technology vendors, and system integrators. Excellent communication, executive presence, and influencing skills with technical and non-technical stakeholders alike. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, ... (truncated, view full listing at source)
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