📌 Core Information
🔹 Job Title: Sr. Manager, Partner Marketing (AWS)
🔹 Company: Databricks
🔹 Location: United States
🔹 Job Type: Full-time
🔹 Category: Marketing
🔹 Date Posted: 2025-06-28
🔹 Experience Level: 5-10 years
🔹 Remote Status: Remote OK
🚀 Job Overview
Key aspects of this role include:
- Leading strategic co-marketing initiatives with AWS
- Developing and executing joint marketing plans
- Planning and executing integrated co-marketing campaigns
- Managing MDF and budget effectively
- Collaborating cross-functionally with internal teams
ASSUMPTION: This role requires a strong understanding of cloud ecosystems and proven success in building joint GTM programs with AWS.
📋 Key Responsibilities
✅ Develop and execute a comprehensive joint marketing plan aligned to business objectives and sales priorities for AWS
✅ Plan and execute integrated co-marketing campaigns (e.g., events, digital, content syndication, solution launches) that drive awareness, pipeline, and adoption
✅ Work closely with partner sales and field marketing to support regional demand generation, joint account planning, and customer engagement initiatives
✅ Collaborate cross-functionally to develop compelling content and joint value propositions, solution briefs, case studies, and customer stories
✅ Manage co-op and MDF funds effectively, including proposal development, ROI tracking, and quarterly reviews
✅ Define KPIs and provide regular reporting on performance, pipeline contribution, and marketing influence
✅ Partner with internal teams across campaigns, digital, communications, and events to ensure consistent execution and messaging
ASSUMPTION: This role involves a high degree of cross-functional collaboration and requires strong project management skills.
🎯 Required Qualifications
Education: Bachelor's degree in Marketing, Business, or a related field
Experience: 7+ years of experience in partner marketing, product or solution marketing for an enterprise software or SaaS company
Required Skills:
- Proven success in building and executing joint GTM programs with AWS
- Deep understanding of cloud ecosystems, solution co-selling, and enterprise buyer journeys
- Experience managing MDF and navigating partner marketing portals and processes
- Strong cross-functional leadership skills with the ability to manage complex projects
- Excellent communication, storytelling, and presentation skills
- Data-driven and comfortable measuring and optimizing performance across campaigns
- Self-starter with high attention to detail and ability to operate in a fast-paced environment
- Experience with cloud, big data, data analytics, data warehouse, machine learning or AI technologies
Preferred Skills:
- Experience with Databricks' products and services
- Fluency in multiple languages
ASSUMPTION: Candidates with experience in the cloud and big data industries will have a significant advantage.
💰 Compensation & Benefits
Salary Range: $116,800 - $204,425 USD (Based on location, experience level, and industry standards)
Benefits:
- Annual Performance Bonus
- Equity
- Comprehensive Benefits
Working Hours: 40 hours per week
ASSUMPTION: The salary range provided is an estimate based on industry standards for similar roles, experience levels, and locations. Actual compensation packages may vary based on several factors unique to each candidate.
📌 Applicant Insights
🔍 Company Context
Industry: Databricks operates in the data and AI industry, working with over 10,000 organizations worldwide, including 60% of the Fortune 500
Company Size: Databricks is a mid-sized company with 5,001-10,000 employees, offering a dynamic and collaborative work environment
Founded: Databricks was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow
Company Description:
- Databricks is the Data and AI company, providing a unified data intelligence platform
- They offer a comprehensive suite of products and services, including data management, data analytics, and AI/ML
- Databricks is committed to fostering a diverse and inclusive culture where everyone can excel
Company Specialties:
- Apache Spark
- Apache Spark Training
- Cloud Computing
- Big Data
- Data Science
- Delta Lake
- Data Lakehouse
- MLflow
- Machine Learning
- Data Engineering
- Data Warehousing
- Data Streaming
- Open Source
- Generative AI
- Artificial Intelligence
- Data Intelligence
- Data Management
- Data Governance
- Generative AI
- and AI/ML Ops
Company Website: databricks.com
ASSUMPTION: Databricks' focus on data and AI makes it an attractive employer for professionals in these fields.
📊 Role Analysis
Career Level: This role is at the senior management level, requiring strategic thinking and leadership skills
Reporting Structure: The Senior Manager, Partner Marketing (AWS) will report directly to the Director of Partner Marketing
Work Arrangement: This role offers a remote-friendly work arrangement, with the option to work from one of Databricks' global offices
Growth Opportunities:
- Potential to expand the role's scope and impact based on performance and business needs
- Opportunities to work with and learn from industry experts in data and AI
- Career progression within Databricks' marketing organization or other departments
ASSUMPTION: This role offers significant growth potential for the right candidate.
🌍 Location & Work Environment
Office Type: Databricks has multiple offices worldwide, with a hybrid work environment that combines remote and on-site work
Office Location(s): Databricks has offices in San Francisco, London, Amsterdam, New York, Toronto, Singapore, Seattle, Mountain View, McLean, Plano, Bellevue, Boston, Berkeley, Berlin, Munich, Paris, Tokyo, Sydney, Melbourne, Bengaluru, and other locations
Geographic Context:
- United States: Databricks' headquarters is in San Francisco, with additional offices across the country
- International: Databricks has offices in Europe, Asia, and Australia, allowing for global collaboration and growth opportunities
- Time Zones: Databricks' global presence spans multiple time zones, enabling 24/7 operations and customer support
Work Schedule: Databricks offers a flexible work schedule, with core hours and the option to work remotely
ASSUMPTION: Databricks' global presence and flexible work arrangements make it an attractive employer for candidates seeking international opportunities or remote work.
💼 Interview & Application Insights
Typical Process:
- Online application review
- Phone or video screen with the hiring manager
- On-site or virtual interview with the team
- Final round with the director or another senior leader
- Background check and offer
Key Assessment Areas:
- Strategic thinking and problem-solving skills
- Cross-functional collaboration and leadership skills
- Communication and presentation skills
- Technical knowledge of cloud ecosystems and data analytics
- Cultural fit and alignment with Databricks' values
Application Tips:
- Tailor your resume and cover letter to highlight relevant experience and skills for this role
- Prepare for behavioral and situational interview questions that assess your problem-solving skills and leadership potential
- Research Databricks' products, services, and company culture to demonstrate your enthusiasm and understanding
- Follow up with the hiring manager after the interview to express your interest in the role
ATS Keywords: Partner Marketing, AWS, Cloud Ecosystems, Joint GTM Programs, MDF, Cross-Functional Collaboration, Data Analytics, Machine Learning, AI Technologies
ASSUMPTION: Databricks' interview process is designed to assess candidates' strategic thinking, leadership skills, and cultural fit.
🛠️ Tools & Technologies
- Databricks' proprietary tools and platforms
- Cloud-based tools and services (e.g., AWS, Azure, Google Cloud)
- Marketing automation and analytics tools (e.g., Marketo, Salesforce, Google Analytics)
- Collaboration and communication tools (e.g., Slack, Microsoft Teams, Google Workspace)
ASSUMPTION: Candidates should be comfortable working with cloud-based tools and marketing automation platforms.
👔 Cultural Fit Considerations
Company Values:
- Customer Obsessed
- One Team, One Dream
- Founder's Mindset
- Invent Together
- Unleash Potential
Work Style:
- Collaborative and inclusive
- Data-driven and results-oriented
- Fast-paced and innovative
- Customer-focused and customer-centric
Self-Assessment Questions:
- Do you thrive in a dynamic, fast-paced work environment?
- Are you comfortable working with and learning from diverse teams and stakeholders?
- Do you have a strong customer focus and a passion for driving results?
ASSUMPTION: Databricks' company culture emphasizes collaboration, innovation, and customer focus.
⚠️ Potential Challenges
- Managing multiple stakeholders and priorities in a fast-paced environment
- Navigating complex partner marketing portals and processes
- Keeping up with the latest trends and developments in cloud ecosystems and data analytics
- Balancing remote work and collaboration with team members across different time zones
ASSUMPTION: These challenges can be mitigated with strong project management skills, effective communication, and a proactive approach to learning and adaptation.
📈 Similar Roles Comparison
- Compared to other partner marketing roles, this position requires a deeper understanding of cloud ecosystems and joint GTM programs with AWS
- Databricks' focus on data and AI sets it apart from other companies in the industry
- Career progression in this role may involve expanding the scope of responsibilities or moving into a management or leadership position within Databricks' marketing organization or other departments
ASSUMPTION: This role offers unique opportunities for growth and development within Databricks' marketing organization.
📝 Sample Projects
- Developing and executing a joint marketing campaign with AWS to drive awareness and adoption of Databricks' data intelligence platform
- Collaborating with AWS field marketing teams to support regional demand generation and customer engagement initiatives
- Managing MDF and co-op funds effectively to maximize ROI and drive business growth
ASSUMPTION: These projects demonstrate the strategic and cross-functional nature of the Senior Manager, Partner Marketing (AWS) role.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and dynamics within the partner marketing organization?
- How does Databricks support the growth and development of its employees?
- What are the key priorities for this role in the first 30-60-90 days?
- How does Databricks measure the success and impact of its partner marketing initiatives?
- What are the most challenging aspects of working with AWS, and how does Databricks address them?
ASSUMPTION: Asking these questions will help you better understand the role, team, and company dynamics.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role
- Prepare for behavioral and situational interview questions that assess your problem-solving skills and leadership potential
- Research Databricks' products, services, and company culture to demonstrate your enthusiasm and understanding
- Follow up with the hiring manager after the interview to express your interest in the role
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
