Databricks: Director, Agent & AI Search — United States

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, Agent & AI Search in United States, under reference 8337361002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Marketing
• Employer listing date: 16 December 2025

Responsibilities and work described

• Built a GEO function and operating model that reliably turns AI and organic discovery into a meaningful growth channel for Databricks, with a clear charter, roadmap, and engagement model for web, content, product marketing, and brand
• Significantly increased Databricks’ visibility and share of citations across priority AI answer engines (e.g., ChatGPT, Gemini, Claude, Google AI Overviews) so we consistently appear as a top recommended brand on high-intent product and category queries
• Demonstrably grown qualified organic and AI-referred traffic, conversions, and influenced pipeline for priority product lines and audiences by aligning GEO strategy and experimentation with business goals
• Stood up a robust GEO experimentation and measurement engine (tests on content structure, schema, semantic depth, technical changes) that produces a prioritized roadmap and measurable lifts in AI citation rate, sentiment, engagement, and downstream funnel performance
• Improved the technical health and AI crawlability of high-value pages in partnership with Web, Engineering, and Marketing Systems, so that both traditional search engines and AI assistants can reliably access, understand, and surface Databricks content
• Built and led a high-performing GEO team, with clear roles, mentorship, and development paths, and established an executive-ready reporting and insights function that earns trust from the VP, CMO, and other senior stakeholders

Essential requirements and candidate background

• 10+ years in technical search, discovery, or adjacent domains, including meaningful time owning systems that drive organic or AI-powered discovery in a high-growth environment
• Deep technical foundation across web architecture, crawling and indexing, structured data/schema, Core Web Vitals, and log/crawl analysis, with a track record of working directly with engineers to ship changes at scale
• Experience designing and running experimentation programs (on content structure, schema, and technical changes) that produce prioritized roadmaps and measurable lifts in visibility, traffic, and downstream business KPIs
• Demonstrated success building from zero-to-one: defining a new function’s charter, roadmap, operating model, and metrics, and then hiring, coaching, and leading a team of ICs to deliver against it
• Track record of building, mentoring, and managing high-performing teams – including setting clear expectations, providing regular coaching and feedback, and developing ICs into senior, highly autonomous operators
• Analytical skills and comfort working hands-on with data and measurement tooling to connect AI/search performance to business impact and produce clear, executive-ready insights
• Experience operating in a complex, cross-functional environment (e.g., web engineering, marketing systems, data/analytics, brand, product) and driving alignment and decisions without relying on formal authority
• Clear, concise written communication, with an emphasis on technical specifications, experiment design docs, and straightforward executive updates rather than marketing copy
• Pay Range Transparency
• Zone 1 Pay Range
• $223,400 — $307,100 USD
• Zone 2 Pay Range
• $201,000 — $276,450 USD
• Zone 3 Pay Range
• $189,800 — $261,050 USD
• Zone 4 Pay Range
• $178,700 — $245,750 USD

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.

• 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
• Advertised location: United States

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, Agent & AI Search vacancy is not an offer for reference 8337361002; 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 8337361002.

Compare your qualifications and experience with the essential conditions for the United States 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

• AI/ML
• Excel
• AI
• embedded systems
• compliance
• marketing
• training
• stakeholder management
• communication