Full-Time

Cloud Partner Development Representative

Posted on 11/5/2025

Databricks

Databricks

10,001+ employees

Data lakehouse platform for analytics

Compensation Overview

$56k - $79.6k/yr

Chicago, IL, USA + 2 more

More locations: New York, NY, USA | Denver, CO, USA

In Person

Category
Growth & Marketing (1)
Required Skills
Sales
AWS
Databricks
Requirements
  • 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
Responsibilities
  • Referral Process Management (AWS only): Own the co-selling process, manage inbound/outbound pipeline sharing via the Partner Portal, oversee the end-to-end lifecycle of funding tracking, submission, and distribution, and consolidate/prioritize bugs and feature requests for the Partner Portal
  • 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

Databricks provides a unified data and AI platform built around a lakehouse architecture that blends data lakes and data warehouses. It helps organizations ingest, store, manage, and analyze data from various sources, then apply analytics and machine learning at scale. The platform offers automated ETL, secure data sharing, and high-performance analytics, with built-in support for AI workloads and model deployment. Unlike traditional single-purpose data stores, Databricks combines data engineering, data science, and business analytics in one system, aiming to streamline data workflows and make insights readily actionable. Its goal is to enable businesses to manage data more efficiently, accelerate insight generation, and deploy AI and analytics across diverse teams through a subscription-based platform and professional services.

Company Size

10,001+

Company Stage

Debt Financing

Total Funding

$27.1B

Headquarters

San Francisco, California

Founded

2013

Simplify Jobs

Simplify's Take

What believers are saying

  • Asia-Pacific revenue surges 85% YoY in Q4, expanding to 32,000 sq ft Singapore office in 2026.
  • Acquires Antimatter and SiftD.ai to launch Lakewatch, adopted by Adobe and Dropbox.
  • Partners with UiPath and DBOS to enhance AI agent reliability and workflow orchestration.

What critics are saying

  • Snowflake Cortex AI erodes differentiation with cheaper serverless LLMs, churns customers in 6-12 months.
  • Microsoft Fabric's 5x faster queries collapse Azure customers' SQL pricing in 3-9 months.
  • Anthropic terminates Claude partnership in Q1 2026, obsoletes Lakewatch security in 12-24 months.

What makes Databricks unique

  • Databricks unifies data engineering, science, and business on Apache Spark-powered lakehouse.
  • Lakewatch delivers AI agentic SIEM using Anthropic's Claude for petabyte-scale threat detection.
  • Unity Catalog enforces unified governance across data, models, and dashboards.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
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PR Newswire
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DBOS partners with Databricks to boost agentic AI reliability and observability

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SiliconANGLE Media
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London AI security startup Trent AI raises $13M to protect AI agents from cyber threats

Trent AI, a London-based AI security startup, has launched with $13 million in seed funding led by LocalGlobe and Cambridge Innovation Capital. Executives from Databricks and Stripe also participated. Founded by former Amazon Web Services engineers Eno Thereska, Neil Lawrence and Zhenwen Dai, Trent AI has developed a platform that uses AI agents to identify cybersecurity issues in AI agents and their generated code. The platform employs four groups of agents that find exploits, rank vulnerabilities by severity, generate remediation suggestions, and track security changes over time. The platform can simulate complex attack paths and provides tool-specific features for OpenClaw and Lovable. Trent AI claims its technology outperforms traditional cybersecurity products designed for conventional software. The company will use the funding to expand its customer base and engineering team.

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