Principal Brand Content & AI Search Visibility
Databricks
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This role on the market
14 open visibility roles across 9 companies are on ApplySarthi right now, most of them in Hyderabad (2), Chennai (1).
- Senior Software Engineer, Network Visibility Platform - DGX CloudNvidia
- Sr Product Manager – Visibility, Shipment TechnologiesAmazon · hyderabad
- Senior Engineer – Security Visibility InfrastructureTarget
- AI Visibility and SEO ManagerIntuitive
- Associate Product Manager / Product Manager — Over-the-Road VisibilityFourKites · chennai
What visibility roles keep asking for: Python (29%), Observability (21%), SEO (21%), SQL (21%), Supply chain (21%), Agile (14%), Excel (14%), LLMs (14%) — counted across their open postings here.
Databricks jobs · Excel jobs · Google Analytics jobs · LLMs jobs
Databricks has 898 open roles listed here.
- Delivery Solutions Architect - Public Sector (Defense Industrial Base)
- Delivery Solutions Architect - Public Sector (DOJ)
- Delivery Solutions Architect - Public Sector (DOW, DHS, Intelligence Community)
- Delivery Solutions Architect - Public Sector (Federal)
- Delivery Solutions Architect - Public Sector (SLED)
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for visibility roles keep coming back to Python, Observability, SEO, SQL. Practise those questions before you sit with Databricks.
Questions you are likely to be asked
- Why do you want to join Databricks?
- What is your experience with Databricks? Tell me one thing you learned the hard way.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the Principal Brand Content & AI Search Visibility at Databricks interview free →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.
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.
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