SLSQ127R641
As a Cloud Partner Development Representative, you will manage and execute the co-selling process, provide internal enablement and support of our GTM teams, and support credit/ pipeline management for our Cloud partnerships. Your role will focus on driving consumption growth and balance among each of the clouds we support, expanding the usage of cloud funding, enhancing collaboration between Databricks and Cloud partners, and driving mutual growth through effective co-selling strategies and partner enablement.
Achieving success in this role will require strong project management skills, excellent communication, and the ability to analyze complex challenges. You will need to collaborate with cross-functional teams to develop and implement strategies that drive cloud investment adoption and maximize self-service credit attach rates.
The Impact You Will Have:
- Cloud Partnership Growth: Foster strong partnerships with cloud partners, driving mutual growth through effective co-selling and enablement.
- Co-Selling Efficiency: Optimize the co-selling process to maximize pipeline contribution and seamless integration with cloud partners.
- Cloud Investment Adoption: Drive cloud investment adoption through proactive outreach and enablement strategies.
- Strategic Cloud Partner Alignment: Through strategic enablement and resource management, ensure alignment between Databricks sales teams and cloud partners.
- Pipeline Quality and Expansion: Expand and enhance pipeline quality by coordinating pipeline development and establishing rigorous qualification criteria for cloud-led referrals.
Key Responsibilities:
- GTM Enablement/ Alignment: Collaborate with partner marketing and enablement to provide resources for Databricks AEs, manage SFDC hygiene and reporting for GTM programs, and ensure Sales Development has the necessary assets to qualify and triage marketing leads sourced by cloud partners.
- Cloud Investment Support: Drive scaled, proactive outreach and enablement to accounts eligible for cloud investment, establish templatized/automated outreach sequences, provide support for mid-size deals, and lead live-field enablement campaigns to maximize self-service and low-touch credit attach rates.
- Co-Sell Alignment and Execution: Drive the execution of AE co-sell interlock through a scalable engagement model, by proactively engaging sellers to maintain alignment, provide stage-appropriate assets for enablement, and track/report on target account health and progression.
- Pipeline Development and Enablement: Coordinate pipeline development programs between cloud demand generation, inside sales, and Databricks Sales Development teams, drive enablement and activation through asset development, field enablement, and target account profiling, and establish qualification criteria for cloud-led pipeline generation to ensure high-quality referrals.
What We Look For:
- Bachelor's Degree and 2+ years of sales or partnership experience
- Technical Expertise: Proficient in technical aspects related to cloud computing, cloud partnerships, and data management.
- Relationship Oriented: Committed to fostering and maintaining long-term relationships with strategic business partners through strategy-building and effective communication.
- Strategic Collaboration: Demonstrate exceptional ability to collaborate across cross-functional teams, fostering alignment and driving business outcomes through effective communication and strategic planning
- Proactive Business Ownership: Proactively own business outcomes by anticipating challenges, identifying opportunities, and driving strategic initiatives to enhance efficiency and drive revenue/ increase consumption.
- Excellent written and verbal communication skills: Proven ability to convey complex ideas clearly and concisely to diverse audiences, including stakeholders at all organizational levels. Adept at leading discussions, facilitating meetings, and collaborating across teams to drive alignment and action.
- Strong problem-solving skills: Demonstrated ability to analyze complex challenges and experience in applying critical thinking and strategic analysis to overcome obstacles and achieve desired outcomes.
- Project Management: Expertise in managing multiple projects with competing deadlines in fast-paced, high-pressure settings. Strong organizational and time management skills, with the ability to prioritize tasks based on urgency and business impact.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
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 click here.
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, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
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What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
