
Sr. Manager, Partner Marketing (AWS) - Databricks
View Company Profile- Job Title
- Sr. Manager, Partner Marketing (AWS)
- Job Location
- United States
- Job Description
MKTQ326R1
The Senior Manager, Partner Marketing (AWS) will lead the strategic co-marketing initiatives with one of the largest public cloud providers in the world. Databricks is constantly building and pushing the boundaries of what's possible for data and AI platforms in close collaboration with our cloud partner's services and infrastructure. The ideal candidate will have experience as a partner or product marketing manager (or similar) at an enterprise software company.
This role will combine partner and product marketing, with a business development mindset, to define and execute joint marketing strategies that drive awareness, demand, and revenue growth through the partnership. You’ll work cross-functionally across Marketing, Partner Sales, and Product teams, as well as directly with our hyperscaler partner’s marketing and field teams. This is a high-impact role ideal for a strategic marketer with a passion for partnerships, storytelling, and measurable results.
The impact you will have:
- Partner Strategy: Develop and execute a comprehensive joint marketing plan aligned to business objectives, GTM motions, and sales priorities for AWS.
- Campaigns & Programs: Plan and execute integrated co-marketing campaigns (e.g., events, digital, content syndication, solution launches) that drive awareness, pipeline, and adoption.
- Field Enablement: Work closely with partner sales and field marketing to support regional demand generation, joint account planning, and customer engagement initiatives.
- Content & Messaging: Collaborate cross functionally to develop compelling content and joint value propositions, solution briefs, case studies, and customer stories.
- MDF & Budget Management: Manage co-op and MDF funds effectively, including proposal development, ROI tracking, and quarterly reviews.
- Metrics & Reporting: Define KPIs and provide regular reporting on performance, pipeline contribution, and marketing influence.
- Cross-Functional Collaboration: Partner with internal teams across campaigns, digital, communications, and events to ensure consistent execution and messaging.
What we look for:
- 7+ years of experience in partner marketing, product or solution marketing for an enterprise software or SaaS company.
- 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 and build trusted relationships internally and externally.
- 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
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 base 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 anticipated 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.
Zone 1 Pay Range$146,000—$204,425 USDZone 2 Pay Range$131,400—$183,975 USDZone 3 Pay Range$124,100—$173,750 USDZone 4 Pay Range$116,800—$163,525 USDAbout 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, 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.
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Databricks Company Size
Between 2,025 - 20,000 employees
Databricks Founded Year
2013
Databricks Total Amount Raised
$19,246,999,552
Databricks Funding Rounds
View funding detailsDebt Financing
$5,250,000,000 USD
Series J
$10,000,000,000 USD
Series I
$500,000,000 USD
Series H
$1,600,000,000 USD
Series G
$1,000,000,000 USD
Series F
$400,000,000 USD
Series E
$250,000,000 USD
Series D
$140,000,000 USD
Series C
$60,000,000 USD
Series B
$33,000,000 USD
Series A
$14,000,000 USD