Principal Brand Content & AI Search Visibility

Posted Yesterday
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San Francisco, CA, USA
In-Office
223K-307K Annually
Expert/Leader
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Own the brand content strategy and AI-era search visibility program. Create, edit, and optimize content for LLM discovery and citation, identify visibility gaps, manage internal and external contributors plus AI agents, and establish brand context, prompts, and editorial guidelines. Lead GEO/AEO and SEO analysis, oversee content quality across formats, connect content roadmaps to business priorities, measure performance, and enable marketing teams on AI visibility best practices.
Summary Generated by Built In

MKTQ427R49

We're looking for a content lead who sits at the intersection of brand content storytelling and AI-era discoverability. You will own the creation of high-quality and high-volume brand content, ensuring that content is structured, distributed, and measured to win visibility across AI answer engines. You will produce and edit compelling content and employ optimization strategies to make sure LLMs discover, parse, and cite it. You will identify content gaps by analyzing where the brand is (and isn't) showing up in LLM answers, map those gaps against business objectives, target audiences, and product priorities, and orchestrate a mix of AI agents, technical writers, and internal teams to close them. A core part of this orchestration is overseeing a system of AI agents that create, optimize, and evaluate content — a task that requires real editorial expertise applied to prompt design and agent engineering, not just tool adoption. You will be responsible for building and maintaining the brand context, target prompts, and writing guidelines that guide agents and internal SMEs to create on-brand, accurate, and authoritative content. A major part of the role is editorial judgment: this includes reviewing drafts from agents and adjusting prompts and inputs to improve output quality.

The impact you will have:

Within 12–24 months in this role, success looks like:

  • The content roadmap is driven by evidence. You've stood up ongoing GEO/AI answer analysis, and every major content bet ties back to a documented gap — where the brand is underrepresented, inaccurate, or absent — requiring gap-analysis skills and fluency with GEO/AI-visibility diagnostics.
  • Business priorities and content output are in lockstep. The roadmap (blogs, video, web pages, thought leadership) is visibly built from business objectives, audience search intent, and product priorities, and stakeholders can trace any piece of content back to a prompt that justified it — requiring sharp prioritization judgment and the ability to translate business strategy into editorial direction.
  • A multi-resource content engine runs smoothly. Agencies, freelance contractors, internal writers/producers, and AI content agents are each matched to the content types they're best suited for; workflows include adequate content review, and handoffs don't create bottlenecks — all of which require strong orchestration and tool/vendor/contributor management skills.
  • Every piece of published content clears the bar you’ve set for that medium. You're the final editorial checkpoint on all content — agency, contractor, internal, or AI-generated — and your revision notes are specific enough to reliably lift drafts to brand standard, requiring proven editorial judgment across formats (long-form, blogs, video scripts, web copy).
  • Content is winning visibility and citation share. Published content is structured to be entity-rich, answer-first, well-sourced, and citation-worthy for LLM retrieval, without losing readability or brand voice — requiring hands-on GEO/AEO expertise layered on solid SEO and writing fundamentals.
  • Leadership can see the line from content to business outcome. You track GEO performance alongside traditional metrics and report on it regularly.
  • The broader marketing team writes and creates with GEO/AI-visibility in mind by default. You've enabled marketers across the org on GEO prompts and tools, AI writing agents, brand context, and best practices for quality writing.

What we look for:

  • 10+ years in content strategy, brand content, or editorial leadership, with experience managing a mix of internal and external contributors.
  • Strong editorial judgment — proven ability to review and elevate drafts across formats to a consistent brand standard.
  • Working knowledge of SEO fundamentals plus hands-on recent GEO/AEO experience — comfortable diagnosing why a brand isn't being cited or surfaced correctly by LLMs.
  • Experience managing agencies and/or freelance contractors, and comfort building and optimizing AI content tools/agents as part of a production workflow.
  • Familiarity with GEO/AI-visibility tools such as Profound, Conductor, AirOps, Peec.ai, or similar platforms.
  • Proficiency with Semrush, Google Search Console, and Google Analytics (GA4) to track technical optimization and brand visibility in traditional search engines. 
  • Sharp analytical instincts paired with strong creative/editorial taste.
  • Experience in B2B tech, data/AI, or enterprise SaaS.
  • Familiarity with schema markup and structured data for AI/search discoverability.
  • Experience overseeing video production workflows.

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.


Zone 1 Pay Range
$223,100—$306,800 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 click here.

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.

Skills Required

  • 10+ years of experience in content strategy, brand content, or editorial leadership
  • Experience managing internal and external content contributors
  • Strong editorial judgment and ability to elevate drafts across multiple formats
  • Working knowledge of SEO fundamentals
  • Recent hands-on GEO/AEO experience, including diagnosing LLM visibility and citation issues
  • Experience managing agencies or freelance contractors
  • Experience building and optimizing AI content tools or agents
  • Familiarity with GEO/AI-visibility platforms such as Profound, Conductor, AirOps, or Peec.ai
  • Proficiency with Semrush, Google Search Console, and Google Analytics 4
  • Strong analytical instincts and creative/editorial judgment
  • Experience in B2B technology, data/AI, or enterprise SaaS
  • Familiarity with schema markup and structured data
  • Experience overseeing video production workflows

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
  • Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
  • Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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