Databricks growth playbook

Rewrite both files this week against the live navigation: current product names with "formerly" notes (Databricks Lakehouse, formerly Databricks SQL; AI Search, formerly Vector Search), entries for Lakewatch, Unity AI Gateway, Genie One, Genie Code and CustomerLake CDP, final URLs instead of redirects, and the August 2026 company facts. Then make the files part of the launch checklist: any product page that is created, renamed or redirected opens a task to update llms.txt, with an automated weekly check that every link returns 200 and every product in the navigation is listed.

llms.txt only helps if it is current. When it lags the product line, assistants keep repeating retired names and miss the products Databricks is investing in most. A file fix costs a day, and a launch-checklist rule keeps it from drifting again.

[ ] Databricks Lakehouse (formerly Databricks SQL) -> /product/databricks-lakehouse
[ ] AI Search (formerly Vector Search) -> /product/artificial-intelligence/ai-search
[ ] Genie One and Genie Code (formerly Genie) -> /product/genie/one, /product/genie/code
[ ] Unity AI Gateway -> /product/artificial-intelligence/unity-gateway
[ ] Lakewatch -> /product/lakewatch
[ ] CustomerLake CDP -> /product/customerlake-cdp
[ ] Pricing -> /product/pricing
[ ] Company facts: $7B run-rate, >80% growth (August 2026)
[ ] Update Last-Modified
[ ] Weekly link and coverage check

• Assistants keep old names for a while

  Keep "formerly" lines for at least a year so both names map to the right page.

• Product teams rename without telling web

  Make the llms.txt update a required step in the launch ticket.

• Your websitewww.databricks.com/llms.txt, the file that tells AI systems which Databricks sources to trust, says "Last-Modified: 2026-06-02" and instructs: "Use current naming." It still lists "Databricks SQL", "Databricks Vector Search", "Genie" and "AI Gateway", and neither it nor llms-full.txt mentions Lakewatch, Unity AI Gateway, Genie One, Genie Code or the CustomerLake CDP. Five of its 27 links redirect (for example /product/databricks-sql to /product/databricks-lakehouse, /product/machine-learning/vector-search to /product/artificial-intelligence/ai-search, /product/databricks-pricing to /product/pricing). Checked October 21, 2026.Source
• Your websiteCurrent product pages: "Databricks Lakehouse: AI-Native Data Warehouse", "Databricks AI Search: Real-Time Hybrid Search Engine", "Databricks Genie One: AI Coworker Grounded in Your Data", "Databricks Genie Code", "Databricks Lakewatch: the agentic SIEM for security teams", "Unity Gateway: Databricks AI gateway for cost and security"; the navigation adds "Customer Data Platform: Agentic CDP embedded in Databricks".Source
• Press releaseAugust 13, 2026: Databricks "crossed a $7 billion revenue run-rate, delivering >80% year-over-year growth" and "closed a $5 billion strategic funding round at a $190 billion valuation"; the money drives "Lakebase", "Genie" and "Unity AI Gateway"; Lakehouse, "its data warehousing product", passed a $1.5B run-rate "growing over 100%"; Lakebase exceeded $100M; ">1,000 customers consuming at over $1 million revenue run-rate".Source
• HiringPrincipal Brand Content & AI Search Visibility (posted October 8, 2026): "identify content gaps by analyzing where the brand is (and isn't) showing up in LLM answers"; "every major content bet ties back to a documented gap — where the brand is underrepresented, inaccurate, or absent"; oversee "a system of AI agents that create, optimize, and evaluate content"; content "entity-rich, answer-first, well-sourced, and citation-worthy for LLM retrieval"; "track GEO performance alongside traditional metrics".Source
• HiringDirector, Web Marketing (posted August 6, 2026, reporting to the VP of Marketing): build for "the AI agents and assistants that now read, interpret, and act on the web"; "content stays legible, accurate, and well-represented as AI systems increasingly mediate discovery"; "clean information architecture, structured data"; "a robust testing and personalization program"; scale the web "across segments, products, industries, partners, and languages".Source
• HiringSr. Partner Marketing Manager, AWS & AI Partners (posted October 7, 2026): the AWS joint marketing plan against "partner pipeline targets aligned to Databricks' strategic products, including Genie, Unity Gateway, and Lakebase"; AWS Marketing Development Funds "through clear investment tiers"; re:Invent presence; pipeline "traceable through deal registration, SFDC matching"; "at least six customer stories or joint announcements annually".Source

Swap the promo for what a visitor can act on now: the 2026 sessions on demand, the next Data + AI World Tour stop near them, or a 2027 save-the-date with an interest list. Update the summit page to point to the 2026 recap. Give every dated homepage module an end date in the CMS so it expires automatically.

A live homepage slot is valuable, and an expired promo signals neglect to buyers and to the AI systems that read the page.

• Personalized variants still show it

  Check every segment and variant.

• Your websiteThe English homepage (checked October 21, 2026) still carries the summit promo "JUNE 15–18 / SAN FRANCISCO Secure your spot today! Last chance to register." with a "Register now" link to /dataaisummit, which now says "SEE YOU NEXT YEAR! June 21–24, 2027" and offers "Watch the 2025 summit recap".Source
• HiringDirector, Web Marketing (posted August 6, 2026, reporting to the VP of Marketing): build for "the AI agents and assistants that now read, interpret, and act on the web"; "content stays legible, accurate, and well-represented as AI systems increasingly mediate discovery"; "clean information architecture, structured data"; "a robust testing and personalization program"; scale the web "across segments, products, industries, partners, and languages".Source
• HiringDirector, Technical Marketing (posted October 8, 2026): leads 6+ technical marketing managers; "In the era of agentic marketing and AEO/GEO, your team will increasingly produce content designed to educate both humans and agents"; programs technical content for Data + AI Summit and Data + AI World Tour with "≥4.5/5.0 average session ratings and measurable pipeline contribution"; launch "at least 2 new outbound evangelism motions (e.g., a YouTube series architecture...)" that "grow Databricks' external technical reach by ≥25%".Source

Redirect /product/startups-old to /product/startups (or to /es/ if a Spanish version is wanted), remove it from the English sitemap, and check Search Console for queries it was ranking for.

One clear, current offer page converts better and keeps founders from reading old terms.

• Spanish founders lose a page

  Publish the new offer under /es/.

• Your websiteTwo startup pages are live: /product/startups ("Databricks for Startups: Up to $200K in Platform Credits", credits "for Databricks and Neon", "Apply or ask your investor") and /product/startups-old, which has a Spanish title ("Transforma tu startup con Databricks"), Spanish body copy and a self-referencing canonical, and is listed in the English sitemap.Source
• HiringIndustry marketing: a Sr. Industry Marketing Manager, Startups (posted August 25, 2026) to make Databricks "the obvious foundation" for venture-backed AI startups "from pre-seed to pre-IPO", working with "VCs, accelerators" and building "founder and engineering-led content, developer channels, community programs"; and a Sr. Industry Marketing Manager, Manufacturing & Supply Chain (August 26) for "thought leadership content through editorials, blogs, white papers, industry and partner events".Source
• Your websiteEnglish website sitemap (2,140 URLs across the main site and seven locales): of 77 English /product/ URLs, 6 redirect (/product/databricks-pricing, /product/genie, /product/data-engineering/data-ingestion, /product/data-engineering/dlt, /product/machine-learning/retrieval-augmented-generation, /product/data-sharing, the last to a blog post), and the live pricing page /product/pricing is not listed.Source

Generate the sitemap from final URLs only, add /product/pricing, and add a build check that fails when a sitemap URL returns anything other than 200. Apply the same check to the seven locales.

Search engines and AI crawlers spend effort on redirects and may treat the pricing page as less important than it is.

• New platform changes URLs again

  Keep the build check in the new platform.

• Your websiteEnglish website sitemap (2,140 URLs across the main site and seven locales): of 77 English /product/ URLs, 6 redirect (/product/databricks-pricing, /product/genie, /product/data-engineering/data-ingestion, /product/data-engineering/dlt, /product/machine-learning/retrieval-augmented-generation, /product/data-sharing, the last to a blog post), and the live pricing page /product/pricing is not listed.Source
• HiringDirector, Web Marketing (posted August 6, 2026, reporting to the VP of Marketing): build for "the AI agents and assistants that now read, interpret, and act on the web"; "content stays legible, accurate, and well-represented as AI systems increasingly mediate discovery"; "clean information architecture, structured data"; "a robust testing and personalization program"; scale the web "across segments, products, industries, partners, and languages".Source
• HiringWeb platform engineering (Staff Software Engineer, AI Native Web Platform): "We are rebuilding the platform from the ground up, AI-native from the start"; the platform layer covers "web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents".Source

Refresh the page with the 2026 reports, current product names (Lakehouse, Genie One, Lakebase) and August 2026 numbers, add a visible "updated" date, and add a short answer-first summary at the top for assistants and skimmers.

High-intent buyers read comparison pages late in a decision, and current, dated evidence is more likely to be cited.

• Competitive claims challenged

  Cite each claim and date it.

• Your website"Databricks vs. Snowflake" is the only comparison page in the sitemap. It cites the "Gartner Magic Quadrant for Data Science and Machine Learning Platforms, 2025" and "Forrester Wave: Data Lakehouses, Q2 2024", while the homepage already links a "2026 Gartner® Magic Quadrant™ AI Platforms for DSML".Source
• Press releaseAugust 13, 2026: Databricks "crossed a $7 billion revenue run-rate, delivering >80% year-over-year growth" and "closed a $5 billion strategic funding round at a $190 billion valuation"; the money drives "Lakebase", "Genie" and "Unity AI Gateway"; Lakehouse, "its data warehousing product", passed a $1.5B run-rate "growing over 100%"; Lakebase exceeded $100M; ">1,000 customers consuming at over $1 million revenue run-rate".Source
• HiringPrincipal Brand Content & AI Search Visibility (posted October 8, 2026): "identify content gaps by analyzing where the brand is (and isn't) showing up in LLM answers"; "every major content bet ties back to a documented gap — where the brand is underrepresented, inaccurate, or absent"; oversee "a system of AI agents that create, optimize, and evaluate content"; content "entity-rich, answer-first, well-sourced, and citation-worthy for LLM retrieval"; "track GEO performance alongside traditional metrics".Source
• Your websiteCurrent product pages: "Databricks Lakehouse: AI-Native Data Warehouse", "Databricks AI Search: Real-Time Hybrid Search Engine", "Databricks Genie One: AI Coworker Grounded in Your Data", "Databricks Genie Code", "Databricks Lakewatch: the agentic SIEM for security teams", "Unity Gateway: Databricks AI gateway for cost and security"; the navigation adds "Customer Data Platform: Agentic CDP embedded in Databricks".Source

Set a performance budget for the new platform (third-party scripts, JavaScript weight, INP under 200 ms), load ad and data-provider tags after interaction or consent, reserve space for the consent banner so it does not shift the page, and break up long main-thread tasks.

Responsiveness affects every visitor click, and fewer third-party scripts also reduce data-sharing risk.

• Marketing data loss

  Use server-side tagging for key events.

• Google PageSpeedHomepage on mobile: performance 18/100; 6.5 MB, 261 requests, 37 third-party services, Google Tag Manager 1.5 MB, 13.2s of main-thread work. The largest element in the lab is the cookie banner text, and the cookie banner also causes the layout shift (CLS 0.173). Real visitors fail Core Web Vitals on responsiveness (INP 227 ms; the limit is 200 ms); loading (LCP 1.7s) and layout (CLS 0.09) pass.Source
• HiringWeb platform engineering (Staff Software Engineer, AI Native Web Platform): "We are rebuilding the platform from the ground up, AI-native from the start"; the platform layer covers "web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents".Source
• HiringDirector, Web Marketing (posted August 6, 2026, reporting to the VP of Marketing): build for "the AI agents and assistants that now read, interpret, and act on the web"; "content stays legible, accurate, and well-represented as AI systems increasingly mediate discovery"; "clean information architecture, structured data"; "a robust testing and personalization program"; scale the web "across segments, products, industries, partners, and languages".Source

Add Organization markup (founders, sameAs links, logo) to the homepage, SoftwareApplication markup to each product page (name, category, offers, links to docs), and FAQ markup where pages answer questions. Generate it from the CMS so renames update it automatically.

Structured data is the machine-readable version of llms.txt, and search engines use it for entity understanding.

• Markup out of sync

  Generate it from the same fields as the page.

• Your websiteThe homepage, the pricing page and the Lakewatch product page carry no JSON-LD structured data (no Organization, SoftwareApplication or Product markup) in the delivered HTML.Source
• HiringDirector, Web Marketing (posted August 6, 2026, reporting to the VP of Marketing): build for "the AI agents and assistants that now read, interpret, and act on the web"; "content stays legible, accurate, and well-represented as AI systems increasingly mediate discovery"; "clean information architecture, structured data"; "a robust testing and personalization program"; scale the web "across segments, products, industries, partners, and languages".Source
• Your websitewww.databricks.com/llms.txt, the file that tells AI systems which Databricks sources to trust, says "Last-Modified: 2026-06-02" and instructs: "Use current naming." It still lists "Databricks SQL", "Databricks Vector Search", "Genie" and "AI Gateway", and neither it nor llms-full.txt mentions Lakewatch, Unity AI Gateway, Genie One, Genie Code or the CustomerLake CDP. Five of its 27 links redirect (for example /product/databricks-sql to /product/databricks-lakehouse, /product/machine-learning/vector-search to /product/artificial-intelligence/ai-search, /product/databricks-pricing to /product/pricing). Checked October 21, 2026.Source

Build a set of 100 buyer prompts per product ("best Postgres for AI agents", "AI coworker for business data", "LLM gateway for cost control"), run them monthly across the main assistants, record mention, accuracy and citation, and turn the biggest gaps into the quarter's content roadmap.

A measured baseline turns AI visibility from opinion into a roadmap, and the three bets are where pipeline is most needed.

• Answers vary run to run

  Run each prompt several times and track trends.

• Press releaseAugust 13, 2026: Databricks "crossed a $7 billion revenue run-rate, delivering >80% year-over-year growth" and "closed a $5 billion strategic funding round at a $190 billion valuation"; the money drives "Lakebase", "Genie" and "Unity AI Gateway"; Lakehouse, "its data warehousing product", passed a $1.5B run-rate "growing over 100%"; Lakebase exceeded $100M; ">1,000 customers consuming at over $1 million revenue run-rate".Source
• HiringPrincipal Brand Content & AI Search Visibility (posted October 8, 2026): "identify content gaps by analyzing where the brand is (and isn't) showing up in LLM answers"; "every major content bet ties back to a documented gap — where the brand is underrepresented, inaccurate, or absent"; oversee "a system of AI agents that create, optimize, and evaluate content"; content "entity-rich, answer-first, well-sourced, and citation-worthy for LLM retrieval"; "track GEO performance alongside traditional metrics".Source
• Your websiteCurrent product pages: "Databricks Lakehouse: AI-Native Data Warehouse", "Databricks AI Search: Real-Time Hybrid Search Engine", "Databricks Genie One: AI Coworker Grounded in Your Data", "Databricks Genie Code", "Databricks Lakewatch: the agentic SIEM for security teams", "Unity Gateway: Databricks AI gateway for cost and security"; the navigation adds "Customer Data Platform: Agentic CDP embedded in Databricks".Source

Add 20 questions per product written answer-first with sources: Postgres for AI agents, branching and scale-to-zero, LLM gateway cost controls, SIEM on a lakehouse. Link each to docs and the product page.

The site already exists for exactly this purpose; it just covers one product.

• Thin answers

  Require an expert reviewer per answer.

• Databricks Answersanswers.databricks.com ("Data & AI Questions, Answered by Databricks") lists 15 questions in its llms.txt; its stated primary surface is "Databricks AI/BI and Genie", topics are text-to-SQL, conversational BI and governance (one on "best AI agents for supply chain analytics and forecasting"), and none covers Lakebase or Postgres.Source
• Press releaseAugust 13, 2026: Databricks "crossed a $7 billion revenue run-rate, delivering >80% year-over-year growth" and "closed a $5 billion strategic funding round at a $190 billion valuation"; the money drives "Lakebase", "Genie" and "Unity AI Gateway"; Lakehouse, "its data warehousing product", passed a $1.5B run-rate "growing over 100%"; Lakebase exceeded $100M; ">1,000 customers consuming at over $1 million revenue run-rate".Source
• Your websiteCurrent product pages: "Databricks Lakehouse: AI-Native Data Warehouse", "Databricks AI Search: Real-Time Hybrid Search Engine", "Databricks Genie One: AI Coworker Grounded in Your Data", "Databricks Genie Code", "Databricks Lakewatch: the agentic SIEM for security teams", "Unity Gateway: Databricks AI gateway for cost and security"; the navigation adds "Customer Data Platform: Agentic CDP embedded in Databricks".Source
• HiringPrincipal Brand Content & AI Search Visibility (posted October 8, 2026): "identify content gaps by analyzing where the brand is (and isn't) showing up in LLM answers"; "every major content bet ties back to a documented gap — where the brand is underrepresented, inaccurate, or absent"; oversee "a system of AI agents that create, optimize, and evaluate content"; content "entity-rich, answer-first, well-sourced, and citation-worthy for LLM retrieval"; "track GEO performance alongside traditional metrics".Source

Publish one fair comparison per new product against the approaches buyers weigh (legacy SIEM vs. a security lakehouse; managed Postgres options; standalone AI gateways), with current dates, sources and a migration path. Add a Lakehouse page against Fabric and BigQuery.

Comparison queries are high intent, and assistants quote these pages when buyers ask which tool to pick.

• Out-of-date claims

  Date each page and review quarterly.

• Your website"Databricks vs. Snowflake" is the only comparison page in the sitemap. It cites the "Gartner Magic Quadrant for Data Science and Machine Learning Platforms, 2025" and "Forrester Wave: Data Lakehouses, Q2 2024", while the homepage already links a "2026 Gartner® Magic Quadrant™ AI Platforms for DSML".Source
• Your websiteCurrent product pages: "Databricks Lakehouse: AI-Native Data Warehouse", "Databricks AI Search: Real-Time Hybrid Search Engine", "Databricks Genie One: AI Coworker Grounded in Your Data", "Databricks Genie Code", "Databricks Lakewatch: the agentic SIEM for security teams", "Unity Gateway: Databricks AI gateway for cost and security"; the navigation adds "Customer Data Platform: Agentic CDP embedded in Databricks".Source
• Competitor researchRivals' own pages: Snowflake, "AI Data Cloud" powering "AI, data engineering, applications, and analytics"; Microsoft Fabric, "an AI-powered analytics platform that unites your data and services"; Google BigQuery, "the autonomous data and AI platform".See the research Source
• Press releaseAugust 13, 2026: Databricks "crossed a $7 billion revenue run-rate, delivering >80% year-over-year growth" and "closed a $5 billion strategic funding round at a $190 billion valuation"; the money drives "Lakebase", "Genie" and "Unity AI Gateway"; Lakehouse, "its data warehousing product", passed a $1.5B run-rate "growing over 100%"; Lakebase exceeded $100M; ">1,000 customers consuming at over $1 million revenue run-rate".Source

Create short numbered series per product (Lakebase in 10 episodes, Genie Code in 10, Unity AI Gateway in 6), each with chapters, a transcript page on the site and a docs link. Publish weekly and cut shorts from each episode.

Series build returning viewers, and transcripts give assistants citable technical content.

• Production load

  Use the AI publishing engine for edits and transcripts.

• YouTube and GitHubThe Databricks YouTube channel has about 168,000 subscribers, 4,636 videos and 22.8 million views; GitHub has 251 public repositories.Source
• HiringDirector, Technical Marketing (posted October 8, 2026): leads 6+ technical marketing managers; "In the era of agentic marketing and AEO/GEO, your team will increasingly produce content designed to educate both humans and agents"; programs technical content for Data + AI Summit and Data + AI World Tour with "≥4.5/5.0 average session ratings and measurable pipeline contribution"; launch "at least 2 new outbound evangelism motions (e.g., a YouTube series architecture...)" that "grow Databricks' external technical reach by ≥25%".Source
• Press releaseAugust 13, 2026: Databricks "crossed a $7 billion revenue run-rate, delivering >80% year-over-year growth" and "closed a $5 billion strategic funding round at a $190 billion valuation"; the money drives "Lakebase", "Genie" and "Unity AI Gateway"; Lakehouse, "its data warehousing product", passed a $1.5B run-rate "growing over 100%"; Lakebase exceeded $100M; ">1,000 customers consuming at over $1 million revenue run-rate".Source

Tag every story by product (including Lakebase, Genie, Unity AI Gateway), industry and measured result; render the list and filters in the HTML; and build product pages that pull in the matching stories. Use AI to draft first versions from interview notes.

Proof by product and result is what buyers and assistants look for, and server-rendered lists get indexed.

• Old stories use old names

  Add current product tags without rewriting quotes.

• Your websiteCustomer stories: 609 English stories in the customer sitemap (937 with localized versions). The /customers listing shows "Loading..." in the delivered HTML, so the story list is filled in by script.Source
• HiringCustomer Marketing Manager, Americas (posted October 7, 2026): turn "the experiences of our largest strategic customers into compelling stories and advocacy programs"; "a stronger and more consistent pipeline of approved case studies, videos, speaking engagements"; "deploying AI-powered tools and workflows that reduce manual effort" in story development.Source
• Press releaseAugust 13, 2026: Databricks "crossed a $7 billion revenue run-rate, delivering >80% year-over-year growth" and "closed a $5 billion strategic funding round at a $190 billion valuation"; the money drives "Lakebase", "Genie" and "Unity AI Gateway"; Lakehouse, "its data warehousing product", passed a $1.5B run-rate "growing over 100%"; Lakebase exceeded $100M; ">1,000 customers consuming at over $1 million revenue run-rate".Source

Build one co-branded kit per product (solution brief, demo, AWS Marketplace listing copy, customer story, field email) and give it to AWS sellers with a tracked deal-registration link. Fund MDF tiers by pipeline returned per dollar.

Partner sellers use what is ready to send; a kit per funded product turns MDF into traceable pipeline.

• Sellers ignore kits

  Keep each kit to one page and one demo.

• HiringSr. Partner Marketing Manager, AWS & AI Partners (posted October 7, 2026): the AWS joint marketing plan against "partner pipeline targets aligned to Databricks' strategic products, including Genie, Unity Gateway, and Lakebase"; AWS Marketing Development Funds "through clear investment tiers"; re:Invent presence; pipeline "traceable through deal registration, SFDC matching"; "at least six customer stories or joint announcements annually".Source
• Press releaseAugust 13, 2026: Databricks "crossed a $7 billion revenue run-rate, delivering >80% year-over-year growth" and "closed a $5 billion strategic funding round at a $190 billion valuation"; the money drives "Lakebase", "Genie" and "Unity AI Gateway"; Lakehouse, "its data warehousing product", passed a $1.5B run-rate "growing over 100%"; Lakebase exceeded $100M; ">1,000 customers consuming at over $1 million revenue run-rate".Source
• HiringCustomer Marketing Manager, Americas (posted October 7, 2026): turn "the experiences of our largest strategic customers into compelling stories and advocacy programs"; "a stronger and more consistent pipeline of approved case studies, videos, speaking engagements"; "deploying AI-powered tools and workflows that reduce manual effort" in story development.Source

Sign 50 funds and accelerators with a tracked application link, a short portfolio briefing, quarterly office hours and a report on portfolio usage. Feature founders building on Databricks and Neon in content.

Founders trust their investors' tool recommendations, and tracked links show which funds produce growing accounts.

• Credits without adoption

  Pair credits with onboarding.

• Your websiteTwo startup pages are live: /product/startups ("Databricks for Startups: Up to $200K in Platform Credits", credits "for Databricks and Neon", "Apply or ask your investor") and /product/startups-old, which has a Spanish title ("Transforma tu startup con Databricks"), Spanish body copy and a self-referencing canonical, and is listed in the English sitemap.Source
• HiringIndustry marketing: a Sr. Industry Marketing Manager, Startups (posted August 25, 2026) to make Databricks "the obvious foundation" for venture-backed AI startups "from pre-seed to pre-IPO", working with "VCs, accelerators" and building "founder and engineering-led content, developer channels, community programs"; and a Sr. Industry Marketing Manager, Manufacturing & Supply Chain (August 26) for "thought leadership content through editorials, blogs, white papers, industry and partner events".Source
• HiringSr. Developer Advocate - Neon: maintain "our TypeScript SDK and CLI, Neon's MCP server"; shape "Agent and Developer Experience (AX & DX)" for "application and agent developers building on Postgres and Neon". A Manager, Developer Relations - Open Source (posted August 14, 2026) will deepen engagement across the Apache Software Foundation and Linux Foundation communities.Source

Build a hub around ten supply chain problems (forecasting, inventory, supplier risk) with a Genie demo on sample data, customer stories tagged to each problem, and answer pages for each question.

Problem-led pages reach operations buyers who never search for a data platform.

• Too broad

  Start with three problems.

• HiringIndustry marketing: a Sr. Industry Marketing Manager, Startups (posted August 25, 2026) to make Databricks "the obvious foundation" for venture-backed AI startups "from pre-seed to pre-IPO", working with "VCs, accelerators" and building "founder and engineering-led content, developer channels, community programs"; and a Sr. Industry Marketing Manager, Manufacturing & Supply Chain (August 26) for "thought leadership content through editorials, blogs, white papers, industry and partner events".Source
• Databricks Answersanswers.databricks.com ("Data & AI Questions, Answered by Databricks") lists 15 questions in its llms.txt; its stated primary surface is "Databricks AI/BI and Genie", topics are text-to-SQL, conversational BI and governance (one on "best AI agents for supply chain analytics and forecasting"), and none covers Lakebase or Postgres.Source
• Your websiteCustomer stories: 609 English stories in the customer sitemap (937 with localized versions). The /customers listing shows "Loading..." in the delivered HTML, so the story list is filled in by script.Source

Add three AI visibility measures to the EMEA dashboard (answer share for priority prompts in English, German and French; citation share of databricks.com; assistant referral traffic) and review them in the same QBR as pipeline.

What is reviewed with pipeline gets budget, and EMEA's languages are where assistant answers vary most.

• Noisy data

  Report trends, not single runs.

• HiringManager, Marketing Insights & Operations — EMEA (posted October 5, 2026): "Maintain a single, trusted view of EMEA marketing performance"; standardize dashboards; produce "the forecast leadership plans against"; "help scope and land the pilots that change how we operate".Source
• HiringPrincipal Brand Content & AI Search Visibility (posted October 8, 2026): "identify content gaps by analyzing where the brand is (and isn't) showing up in LLM answers"; "every major content bet ties back to a documented gap — where the brand is underrepresented, inaccurate, or absent"; oversee "a system of AI agents that create, optimize, and evaluate content"; content "entity-rich, answer-first, well-sourced, and citation-worthy for LLM retrieval"; "track GEO performance alongside traditional metrics".Source
• Your websitellms.txt says "More than 20,000 organizations worldwide — including over 70% of the Fortune 500 — rely on Databricks". The site has seven localized sections (Korean, Japanese, German, French, Portuguese, Italian, Spanish, 159-260 URLs each); /jp/llms.txt, /de/llms.txt and /kr/llms.txt return 404. A Head of Marketing - Japan role is open.Source

Build an agent workflow that, on each launch or rename, lists every affected page across the main site and seven locales, llms.txt, sitemaps, structured data and answer pages, drafts the changes, and routes them for approval. Measure days from rename to full update.

It is a contained, measurable workflow with a clear before and after, a good first standard for agent work.

• Agent makes wrong edits

  Human approval on every change.

• HiringDirector, Marketing Strategy and AI Transformation (posted August 28, 2026): own annual marketing planning and lead "the shift from human-executed to agent-executed work"; "Oversee development of the highest-leverage marketing workflows for agent execution, targeting a step-change improvement in time-to-market"; set "org-wide standards for prompts, context, and agent workflows"; a net-new team.Source
• Your websitewww.databricks.com/llms.txt, the file that tells AI systems which Databricks sources to trust, says "Last-Modified: 2026-06-02" and instructs: "Use current naming." It still lists "Databricks SQL", "Databricks Vector Search", "Genie" and "AI Gateway", and neither it nor llms-full.txt mentions Lakewatch, Unity AI Gateway, Genie One, Genie Code or the CustomerLake CDP. Five of its 27 links redirect (for example /product/databricks-sql to /product/databricks-lakehouse, /product/machine-learning/vector-search to /product/artificial-intelligence/ai-search, /product/databricks-pricing to /product/pricing). Checked October 21, 2026.Source
• Your websiteEnglish website sitemap (2,140 URLs across the main site and seven locales): of 77 English /product/ URLs, 6 redirect (/product/databricks-pricing, /product/genie, /product/data-engineering/data-ingestion, /product/data-engineering/dlt, /product/machine-learning/retrieval-augmented-generation, /product/data-sharing, the last to a blog post), and the live pricing page /product/pricing is not listed.Source
• Your websitellms.txt says "More than 20,000 organizations worldwide — including over 70% of the Fortune 500 — rely on Databricks". The site has seven localized sections (Korean, Japanese, German, French, Portuguese, Italian, Spanish, 159-260 URLs each); /jp/llms.txt, /de/llms.txt and /kr/llms.txt return 404. A Head of Marketing - Japan role is open.Source

Publish agent-ready starter templates, an MCP server guide and clear docs for each major coding agent, test monthly which database agents choose for common prompts ("build an app with Postgres"), and close gaps with templates and docs.

If agents pick Lakebase by default, developers arrive without a sales cycle.

• Agent behavior changes

  Retest monthly and adapt.

• Press releaseAugust 13, 2026: Databricks "crossed a $7 billion revenue run-rate, delivering >80% year-over-year growth" and "closed a $5 billion strategic funding round at a $190 billion valuation"; the money drives "Lakebase", "Genie" and "Unity AI Gateway"; Lakehouse, "its data warehousing product", passed a $1.5B run-rate "growing over 100%"; Lakebase exceeded $100M; ">1,000 customers consuming at over $1 million revenue run-rate".Source
• HiringSr. Developer Advocate - Neon: maintain "our TypeScript SDK and CLI, Neon's MCP server"; shape "Agent and Developer Experience (AX & DX)" for "application and agent developers building on Postgres and Neon". A Manager, Developer Relations - Open Source (posted August 14, 2026) will deepen engagement across the Apache Software Foundation and Linux Foundation communities.Source
• Databricks Answersanswers.databricks.com ("Data & AI Questions, Answered by Databricks") lists 15 questions in its llms.txt; its stated primary surface is "Databricks AI/BI and Genie", topics are text-to-SQL, conversational BI and governance (one on "best AI agents for supply chain analytics and forecasting"), and none covers Lakebase or Postgres.Source

Give every session a follow-up asset (notebook, demo, answer page), track scans to account, and score sessions by pipeline influenced. Keep the top sessions as a year-round webinar series.

It shows which topics create pipeline and gives field teams a reason to follow up.

• Attribution disputes

  Agree rules with sales first.

• HiringDirector, Technical Marketing (posted October 8, 2026): leads 6+ technical marketing managers; "In the era of agentic marketing and AEO/GEO, your team will increasingly produce content designed to educate both humans and agents"; programs technical content for Data + AI Summit and Data + AI World Tour with "≥4.5/5.0 average session ratings and measurable pipeline contribution"; launch "at least 2 new outbound evangelism motions (e.g., a YouTube series architecture...)" that "grow Databricks' external technical reach by ≥25%".Source
• Your websiteThe English homepage (checked October 21, 2026) still carries the summit promo "JUNE 15–18 / SAN FRANCISCO Secure your spot today! Last chance to register." with a "Register now" link to /dataaisummit, which now says "SEE YOU NEXT YEAR! June 21–24, 2027" and offers "Watch the 2025 summit recap".Source
• HiringManager, Marketing Insights & Operations — EMEA (posted October 5, 2026): "Maintain a single, trusted view of EMEA marketing performance"; standardize dashboards; produce "the forecast leadership plans against"; "help scope and land the pilots that change how we operate".Source

Publish localized llms.txt files and the top answer pages in Japanese, Korean and German using the translation pipeline with native review, and track answer share in each language.

Assistants increasingly answer in the user's language, and the localized pages already exist to point to.

• Translation errors

  Native review before publishing.

• Your websitellms.txt says "More than 20,000 organizations worldwide — including over 70% of the Fortune 500 — rely on Databricks". The site has seven localized sections (Korean, Japanese, German, French, Portuguese, Italian, Spanish, 159-260 URLs each); /jp/llms.txt, /de/llms.txt and /kr/llms.txt return 404. A Head of Marketing - Japan role is open.Source
• HiringWeb platform engineering (Staff Software Engineer, AI Native Web Platform): "We are rebuilding the platform from the ground up, AI-native from the start"; the platform layer covers "web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents".Source
• Your websitewww.databricks.com/llms.txt, the file that tells AI systems which Databricks sources to trust, says "Last-Modified: 2026-06-02" and instructs: "Use current naming." It still lists "Databricks SQL", "Databricks Vector Search", "Genie" and "AI Gateway", and neither it nor llms-full.txt mentions Lakewatch, Unity AI Gateway, Genie One, Genie Code or the CustomerLake CDP. Five of its 27 links redirect (for example /product/databricks-sql to /product/databricks-lakehouse, /product/machine-learning/vector-search to /product/artificial-intelligence/ai-search, /product/databricks-pricing to /product/pricing). Checked October 21, 2026.Source

Publish one page that maps every former name to the current product, with dates and links, and reference it from llms.txt and docs.

One authoritative mapping helps search, assistants and sales conversations at once.

• Draws attention to churn in names

  Frame it as a reference, not news.

• Your websitewww.databricks.com/llms.txt, the file that tells AI systems which Databricks sources to trust, says "Last-Modified: 2026-06-02" and instructs: "Use current naming." It still lists "Databricks SQL", "Databricks Vector Search", "Genie" and "AI Gateway", and neither it nor llms-full.txt mentions Lakewatch, Unity AI Gateway, Genie One, Genie Code or the CustomerLake CDP. Five of its 27 links redirect (for example /product/databricks-sql to /product/databricks-lakehouse, /product/machine-learning/vector-search to /product/artificial-intelligence/ai-search, /product/databricks-pricing to /product/pricing). Checked October 21, 2026.Source
• Your websiteCurrent product pages: "Databricks Lakehouse: AI-Native Data Warehouse", "Databricks AI Search: Real-Time Hybrid Search Engine", "Databricks Genie One: AI Coworker Grounded in Your Data", "Databricks Genie Code", "Databricks Lakewatch: the agentic SIEM for security teams", "Unity Gateway: Databricks AI gateway for cost and security"; the navigation adds "Customer Data Platform: Agentic CDP embedded in Databricks".Source

Each month, pick the 20 most-viewed accepted solutions, check them with engineers, and publish them as docs updates or answer pages, crediting the community member.

It rewards contributors and turns scattered answers into authoritative sources.

• Outdated answers

  Verify against current docs.

• Your websitewww.databricks.com/llms.txt, the file that tells AI systems which Databricks sources to trust, says "Last-Modified: 2026-06-02" and instructs: "Use current naming." It still lists "Databricks SQL", "Databricks Vector Search", "Genie" and "AI Gateway", and neither it nor llms-full.txt mentions Lakewatch, Unity AI Gateway, Genie One, Genie Code or the CustomerLake CDP. Five of its 27 links redirect (for example /product/databricks-sql to /product/databricks-lakehouse, /product/machine-learning/vector-search to /product/artificial-intelligence/ai-search, /product/databricks-pricing to /product/pricing). Checked October 21, 2026.Source
• HiringSr. Developer Advocate - Neon: maintain "our TypeScript SDK and CLI, Neon's MCP server"; shape "Agent and Developer Experience (AX & DX)" for "application and agent developers building on Postgres and Neon". A Manager, Developer Relations - Open Source (posted August 14, 2026) will deepen engagement across the Apache Software Foundation and Linux Foundation communities.Source
• Databricks Answersanswers.databricks.com ("Data & AI Questions, Answered by Databricks") lists 15 questions in its llms.txt; its stated primary surface is "Databricks AI/BI and Genie", topics are text-to-SQL, conversational BI and governance (one on "best AI agents for supply chain analytics and forecasting"), and none covers Lakebase or Postgres.Source