Databricks: Director, Technical Marketing — San Francisco, California

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Director, Technical Marketing in San Francisco, California, under reference 8860667002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Marketing
• Employer listing date: 9 October 2026

Responsibilities and work described

• First 6 months:
• Assess the current TMM team's strengths, gaps, and capacity; establish a clear operating model with defined ownership areas (product coverage, content types, GEO) and a quarterly planning cadence
• Own and deliver the technical content agenda for Data + AI World Tour and/or the next major Tier 1 event, achieving ≥4.5/5.0 average session ratings and measurable pipeline contribution
• Launch or significantly expand at least 2 new outbound evangelism motions (e.g., a YouTube series architecture, a technical social media cadence, or a creator/influencer engagement program) that grow Databricks' external technical reach by ≥25%
• Building: an AI-powered publishing engine that enables the TMM team to scale content faster, leveraging AI assistance for content creation and publishing
• Establishment: yourself as a credible external technical voice, publishing 3+ original technical pieces (blogs, videos, or talks) and representing Databricks at 2+ external events or podcasts
• First 12 months:
• Building: and operationalize a "1 launch → many assets" content engine that converts every major product launch into persona-specific learning journeys (demos, workshops, blogs, videos, social)
• Grow Databricks' YouTube and social technical content reach by 2x, with a series-based content architecture targeting key personas at multiple depth levels
• Drive measurable contribution to AEO/GEO (Generative Engine Optimization) ensuring Databricks is cited by default in AI answer engines for key buyer questions
• First 18–24 months:
• Establishment: Databricks as the default place every technical practitioner learns data + AI, measured by YouTube subscriber growth (target: 300K+), technical content engagement, and Free Edition activation rates tied to content
• Building: a formal Databricks Creators program that turns independent creator reach into co-owned, accurate, early-access content across new product areas
• Development: the TMM team into a recognized center of excellence — with clear career paths, a hiring bar, and a reputation as one of the best technical marketing teams in enterprise software

Essential requirements and candidate background

• 10+ years of experience in technical marketing, developer relations, solutions engineering, field engineering, or a related technical field in enterprise software / SaaS / cloud
• 3+ years of people management experience, with a track record of hiring, developing, and retaining high-performing technical teams
• Deep technical fluency in data, AI/ML, and cloud platforms, comfortable building demos and engaging credibly with data engineers, data scientists, solutions architects, and other technical practitioners across the data + AI ecosystem
• Demonstrated outbound evangelism skills, including a visible external presence through conference speaking, technical blogging, YouTube/video content, or social media thought leadership
• Experience owning technical content strategy for major product launches and flagship events (e.g., user conferences, world tours)
• Cross-functional influence with a ability to partner with Product Management, Product Marketing, Field Engineering, and Sales to align on priorities and deliver integrated GTM
• Written and verbal communication skills, with the ability to translate complex technical concepts into compelling narratives for multiple audiences

Preferred experience and additional strengths

• Experience: data platforms, lakehouse architectures, Apache Spark, or related open-source data technologies
• Experience building or scaling a YouTube channel, podcast, or technical content program for practitioner audiences
• Familiarity: GEO / AI answer engine optimization strategies
• Experience: technical community building, creator programs, or influencer engagement across practitioner audiences
• Track record of building technical content that drives measurable pipeline and product adoption
• 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

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Advertised location: San Francisco, California

Benefits mentioned by the employer

• 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

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Director, Technical Marketing vacancy is not an offer for reference 8860667002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8860667002.

Compare your qualifications and experience with the essential conditions for the San Francisco, California position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Excel

Excel examples should identify the task, the data and the checks used to avoid an incorrect result. Explain whether you built a reporting workbook, reconciled records, automated a process or maintained an existing model.

Relevant skills

• Spark
• AI/ML
• Excel
• AI
• compliance
• sales
• marketing
• training
• communication