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About this event

Snowflake Summit Attendee List

Event type: Data cloud, analytics, AI/ML, data engineering, platform engineering, security, modern data stack, enterprise technology

Audience profile: Highly commercial, enterprise-focused, and tech-forward. This is one of the strongest events for targeting data buyers, cloud decision-makers, analytics leaders, engineering teams, and vendor evaluation stakeholders.

Overview

Snowflake Summit is a premium technology event built around data infrastructure, analytics modernization, AI adoption, cloud governance, and enterprise transformation. It attracts a mix of technical and business audiences, but the strongest buying signals come from companies actively investing in data platforms, cloud migration, governance, machine learning, business intelligence, data sharing, and scalable analytics.

For attendee-list selling, this event is especially valuable because the audience includes budget holders, technical implementers, and strategic evaluators. The best leads are usually not just general attendees, but the leaders responsible for data strategy, cloud architecture, analytics transformation, and vendor selection.

1) Who attends: Buyers / Attendees

Snowflake Summit brings together a dense concentration of enterprise buyers, technical practitioners, and ecosystem partners. The event is not just for end users; it also attracts teams that influence buying decisions across data, cloud, software, and business intelligence.

  • Chief Data Officers, Chief Information Officers, Chief Technology Officers
  • VPs and Directors of Data Engineering, Analytics, and Business Intelligence
  • Cloud Architects, Solutions Architects, Data Platform Architects
  • Data Engineers, Analytics Engineers, ML Engineers, and Platform Engineers
  • Security, governance, privacy, and compliance leaders
  • Product managers and digital transformation leaders
  • Procurement and vendor management teams evaluating enterprise software
  • Consultants, systems integrators, and implementation partners
  • ISV partners, data app builders, and technology vendors

The strongest buyers are typically those evaluating data warehouse modernization, AI/ML enablement, data sharing, ETL/ELT tooling, cataloging, observability, governance, and enterprise reporting solutions.

2) Where the show is happening + attendee geographic origin

Snowflake Summit is usually hosted in a major U.S. convention destination with strong airlift and hotel capacity. The exact venue may change by year, but the event generally operates as a large-scale North American flagship conference with global pull.

Attendee origin:

  • Primary: United States
  • Secondary: Canada, United Kingdom, Western Europe, India, Singapore, Australia, and the Middle East
  • Global reach: Strong international attendance from enterprise tech and partner ecosystems

Because Snowflake is a globally adopted cloud data platform, many attendees travel internationally to attend sessions, partner meetings, customer workshops, and executive networking.

3) Audience reach: Local / National / Global

Reach type: Global with strong North American concentration

This is not a local event. It has a global brand footprint and attracts attendees from multinational organizations, global consulting firms, software vendors, and data-driven enterprises. The biggest concentration still comes from the U.S., but the buyer quality is international.

4) Sample buyer company names + websites

Below are sample buyer accounts that are highly relevant for attendee-list targeting. These are the kinds of companies that usually attend, sponsor, exhibit, partner, or send internal decision-makers to this event.

Priority Company Website Best Title to Target Why This is a Good Buyer Fit
1 Salesforce salesforce.com VP Data Engineering / Director, Analytics Platform / Cloud Architecture Leader Large enterprise data and AI user base; strong need for scalable analytics, governance, and integration.
2 Uber uber.com Head of Data Platform / Director, BI Engineering / Staff Data Engineer Data-intensive operations and strong demand for real-time analytics and experimentation platforms.
3 Adobe adobe.com VP Analytics / Director, Data Science Platform / Enterprise Data Architect Deep analytics culture, digital experience data, and enterprise-scale cloud data workflows.
4 Intuit intuit.com Director, Data Engineering / VP, Analytics / Platform Engineering Manager Strong data modernization, financial analytics, and AI-driven product development needs.
5 Capital One capitalone.com Director, Data Platform / Cloud Security Leader / Analytics Strategy Manager Financial services company with major cloud, governance, and regulatory data requirements.
6 Netflix netflix.com Engineering Manager, Data Platform / Director, Machine Learning Infrastructure Well-known for large-scale data use cases, personalization, and cloud-native analytics.
7 DoorDash doordash.com Head of Data Engineering / Analytics Engineering Lead / Product Analytics Director High-volume transactional data and fast-moving business intelligence needs.
8 Atlassian atlassian.com Director, Data Platform / Head of Business Intelligence / Cloud Infrastructure Architect Modern SaaS environment with strong collaboration, product analytics, and data engineering focus.
9 Visa visa.com Director, Enterprise Data / Analytics Security Manager / Data Governance Lead Huge transaction volume and strong compliance, governance, and global reporting needs.
10 Walmart walmart.com VP Data & Analytics / Director, Retail Data Platform / Enterprise Data Architect Retail scale, supply chain data, customer analytics, and omnichannel reporting.
11 Capital One capitalone.com Director, Cloud Data Engineering / Analytics Governance Manager Repeated because of strong fit across banking analytics, risk, and platform modernization.
12 Siemens siemens.com Global Data Strategy Lead / Industrial Analytics Director Industrial enterprise with large-scale operational and engineering data requirements.
13 PepsiCo pepsico.com Director, Enterprise Analytics / Supply Chain Data Leader Strong use case for consumer analytics, demand planning, and operational dashboards.
14 Schneider Electric se.com Data Platform Manager / Digital Transformation Director Industrial and energy data modernization with global business operations.
15 Accenture accenture.com Managing Director, Data & AI / Snowflake Practice Lead Major consulting and implementation partner; strong buyer and ecosystem influence.
16 Deloitte deloitte.com Partner, Cloud Data & Analytics / Practice Lead, Data Modernization High-value consulting buyer and influential services partner.
17 Infosys infosys.com Practice Head, Cloud Data Platforms / Delivery Leader, Analytics System integrator with strong enterprise transformation exposure.
18 ServiceNow servicenow.com VP, Data Engineering / Director, Platform Analytics Cloud platform company with strong operational analytics and enterprise customer data needs.
19 PayPal paypal.com Director, Data Science Platform / Analytics Engineering Manager Financial technology company with high transactional data volumes and AI opportunities.
20 LinkedIn linkedin.com Head of Data Platform / Director, Insights Engineering Massive data and product analytics requirements make this a strong enterprise buyer fit.

Top 5 best samples to send client first: Salesforce, Capital One, Accenture, Uber, Walmart. These names give a balanced mix of enterprise end users, financial buyers, consulting buyers, and large-scale data platform teams.

5) Job profiles, industries & event type

Best job profiles to target:

  • Chief Data Officer
  • Chief Information Officer
  • Chief Technology Officer
  • VP Data Engineering
  • VP Analytics
  • Director of Data Platform
  • Director of Business Intelligence
  • Head of Data Governance
  • Cloud Solutions Architect
  • Enterprise Architect
  • Data Engineering Manager
  • Analytics Engineering Manager
  • Machine Learning Platform Lead
  • Security and Compliance Director
  • Digital Transformation Leader
  • Partner / Practice Leader at consulting firms

Best industry filters to use from your industry list:

  • Information Technology & Services
  • Computer Software
  • Computer Hardware
  • Internet
  • Information Services
  • Financial Services
  • Banking
  • Insurance
  • Management Consulting
  • Professional Training & Coaching
  • Market Research
  • Telecommunications
  • Retail
  • Logistics & Supply Chain
  • Manufacturing-related companies where data modernization is a priority

Event type: Enterprise technology conference, data platform summit, analytics and AI ecosystem event, partner and customer engagement conference.

6) Estimated attendance / expected footfall

Snowflake Summit typically draws a very large professional audience, especially because it combines end users, partners, developers, executives, and solution providers.

  • Estimated total attendance: 10,000 to 20,000+ depending on location and year
  • Buyer density: High
  • Decision-maker concentration: Very high compared with general tech events

Footfall is strong, but the real value is quality over volume. Many attendees are directly involved in technology evaluation, product adoption, platform strategy, or vendor partnerships.

7) Key focus areas & buyer engagement

Core focus areas at this event:

  • Data cloud strategy and modernization
  • Enterprise analytics and BI
  • AI and machine learning adoption
  • Data governance, privacy, and compliance
  • Data sharing and collaboration
  • Real-time data pipelines and integration
  • Observability, cataloging, and metadata management
  • Security and access control
  • Cloud migration and platform engineering
  • Industry-specific use cases across finance, retail, healthcare, media, and software

Best buyer engagement strategy:

The best engagement is to position the attendee list around buyer intent rather than raw attendance. Strong messaging would emphasize access to data leaders, cloud architects, analytics managers, and enterprise technology evaluators. This event is ideal for organizations selling software, services, platforms, consulting, cloud tooling, security products, or enterprise data solutions.

For outreach, the highest-converting targets are usually:

  • Companies already investing in cloud data transformation
  • Consultancies and implementation partners
  • Enterprise software companies with analytics use cases
  • Financial services and retail brands with large-scale data operations
  • Teams responsible for governance, AI adoption, and platform modernization

8) Client-product fit note

To recommend the best buyers with accuracy, I need your client website or product page. That allows me to map the event audience to the exact buying intent.

Examples:

  • If your client sells data tooling, focus on data engineering, BI, and platform teams.
  • If your client sells security or compliance software, focus on governance, risk, and cloud security leaders.
  • If your client sells consulting services, target enterprise transformation leaders and consulting partners.
  • If your client sells analytics or AI products, prioritize platform leaders, ML teams, and executive data sponsors.
  • If your client sells cloud infrastructure or integration products, prioritize architects and engineering managers.

If you share the client website, I can refine this into a much sharper buyer list with titles, industries, company fit, and priority ranking.

9) Final recommendation

This is a strong event for attendee-list sales if your target market is enterprise technology, data, analytics, cloud, AI, or digital transformation. It is especially useful for identifying buyers with budget, platform responsibility, and technical influence.

Best buyer segments to collect:

  • Data and analytics leadership
  • Cloud architecture and platform engineering
  • Security, governance, and compliance teams
  • Consulting and systems integration firms
  • Enterprise software buyers and partner teams

Quality rating for B2B attendee-list sales: 9/10

It is one of the strongest event types for high-value B2B prospecting because the audience is highly targeted, commercially relevant, and decision-maker heavy.

Data sheet

Snowflake Summit – Event Attendee & Buyer Profile Analysis
Event Date: 1 June 2026 to 4 June 2026
Location: San Francisco, California, United States
Event Status: Upcoming
Research Date: 23 June 2026
Event Overview
Event Name Snowflake Summit
Event Date 1 June 2026 to 4 June 2026
Event Status Upcoming
Venue San Francisco, California, USA (official venue details should be verified on the event registration page)
City San Francisco
State / Region California (CA)
Country United States
Organizer Snowflake Inc.
Official Event Website summit.snowflake.com
Event Type Data cloud, analytics, AI/ML, data engineering, platform engineering, security, modern data stack, enterprise technology
Primary Category IT & Technology
Secondary Applicable Categories Business Services; Science & Research
Audience Reach Global, with strong North American enterprise concentration
Estimated Attendance / Expected Footfall Attendance figure not publicly confirmed by the organizer.
Attendance Data Reliability Medium. Event scale is clearly enterprise-grade, but current-year attendance has not been publicly confirmed in the available official materials reviewed here.
Main Purpose of Event To showcase Snowflake’s platform roadmap, data and AI use cases, customer success stories, ecosystem partnerships, and enterprise data modernization strategies.
About the Event

Snowflake Summit is a flagship enterprise technology conference focused on data cloud architecture, analytics modernization, AI adoption, governance, security, and application development on the Snowflake platform. It brings together technical teams and business decision-makers who are actively evaluating data infrastructure, cloud-native analytics, and scalable AI-enabled workflows.

The event matters because it sits at the center of enterprise data spending and vendor evaluation. Attendees typically include data platform owners, engineering leaders, analytics executives, security and governance teams, and ecosystem partners who influence procurement, implementation, and renewal decisions. For B2B lead generation, this is a high-intent event for organizations selling cloud software, data tools, consulting, integration services, security, and enterprise transformation offerings.

1. Who Attends: Buyers / Attendees
Buyer / Attendee Segment Typical Organizations Buying Role or Influence Relevance to Exhibitors / Suppliers
Data Platform Teams Enterprise, mid-market, and digital-native companies Evaluate data stack architecture, platform fit, and scaling needs High-value audience for data tooling, integrations, governance, and services
Procurement and Sourcing Teams Large enterprises, public sector, regulated industries Support software selection, contract negotiation, renewal management Important for vendor qualification, budget cycles, and enterprise sales
CIO / CTO / IT Leadership Large enterprises, software companies, regulated firms Own platform direction, transformation priorities, and major buy decisions Ideal audience for enterprise account-based outreach
Chief Data Officers / Data Executives Enterprise data-driven organizations Set data strategy, governance, monetization, and modernization priorities Strong buyers for analytics, governance, MDM, data sharing, AI platforms
Data Engineering / Platform Engineering Technology, fintech, retail, healthcare, manufacturing Influence build-versus-buy, architecture choices, implementation tools High relevance for ETL/ELT, orchestration, observability, DevOps tools
Analytics / BI Leaders Retail, CPG, finance, healthcare, SaaS Evaluate self-service BI, dashboards, data access, and performance Useful for BI, semantic layer, and reporting vendors
Security / Governance / Compliance Regulated and global enterprises Review controls, access management, risk, and data policy Relevant for data security, privacy, and compliance solutions
Systems Integrators / Consultants Global SIs, boutique data consultancies, MSPs Recommend and implement platforms across client accounts Strong channel, partnership, and services opportunities
Product / Data Product Leaders SaaS and digitally enabled enterprises Own data products, embedded analytics, customer-facing data use cases Relevant for data sharing, monetization, app and marketplace plays
Operations / Finance / RevOps Leaders Enterprise and scale-up organizations Need trusted data for forecasting, reporting, and cross-functional visibility Potential buyers for analytics, planning, and data quality tools
2. Event Location and Attendee Geographic Origin
Geographic Area Likely Attendee Origin Buyer Concentration Notes
Host City: San Francisco High High Strong concentration of tech buyers, investors, and enterprise decision-makers.
Host State / Region: California Very High High Large base of cloud software, AI, media, retail, and enterprise technology buyers.
Nearby Business Hubs San Jose, Palo Alto, Mountain View, Oakland, Seattle, New York High Likely draw from major technology and enterprise buyer hubs.
National Reach Very High Very High Enterprise data initiatives are nationwide across US industries.
International Reach High Medium to High Global customers, partners, and technical users are likely to attend.
Key States / Regions California, New York, Texas, Washington, Illinois, Massachusetts High Major enterprise buying centers and technology corridors.
3. Audience Reach
Reach Level Assessment Explanation
Global Primary classification Snowflake Summit is a flagship international enterprise technology event with broad multinational relevance and strong ecosystem participation.
4. Sample Buyer Companies and Websites
Buyer Company / Organization Buyer Type Why It Is Relevant Website Best Job Titles to Target Evidence Level
Adobe Enterprise software buyer Large-scale data, analytics, and AI workflows are strategically relevant. adobe.com CIO, VP Data, Director of Analytics, Data Platform Lead Strong Market Fit, Attendance Not Confirmed
Capital One Financial services buyer Data governance, cloud modernization, and analytics are core priorities. capitalone.com Chief Data Officer, VP Procurement, Director of Data Engineering Strong Market Fit, Attendance Not Confirmed
Deloitte Consulting / services buyer Often advises clients on data cloud strategy and implementation. deloitte.com Managing Director, Partner, Cloud Practice Lead, Data Transformation Lead Strong Market Fit, Attendance Not Confirmed
Walmart Retail buyer Retail analytics, supply chain visibility, and data sharing are major use cases. walmart.com VP Data, Director of Supply Chain Analytics, Procurement Manager Strong Market Fit, Attendance Not Confirmed
Nike Retail / consumer brand buyer Enterprise analytics and product data operations are highly relevant. nike.com Director of Data Engineering, Analytics Director, IT Director Strong Market Fit, Attendance Not Confirmed
UnitedHealth Group Healthcare buyer Healthcare data modernization, reporting, and compliance are major priorities. uhg.com Chief Data Officer, VP Analytics, Data Governance Leader Strong Market Fit, Attendance Not Confirmed
Salesforce Technology buyer / platform ecosystem Common enterprise data and AI integration stakeholder. salesforce.com VP Platform, Product Analytics Lead, Enterprise Architect Strong Market Fit, Attendance Not Confirmed
T-Mobile Telecommunications buyer Large telecom operators depend on scalable analytics and governance. t-mobile.com VP Data Strategy, IT Director, Director of Business Intelligence Strong Market Fit, Attendance Not Confirmed
General Mills Food / CPG buyer Demand forecasting, supply chain analytics, and enterprise reporting are relevant. generalmills.com Supply Chain Director, Analytics Director, Procurement Leader Strong Market Fit, Attendance Not Confirmed
FedEx Logistics / transportation buyer Operational analytics, network performance, and data integration are key needs. fedex.com VP Operations Analytics, CIO, Data Platform Manager Strong Market Fit, Attendance Not Confirmed
Sony Global enterprise buyer Cross-border data, analytics, and digital transformation are relevant. sony.com IT Director, Data Governance Lead, Enterprise Architecture Head Strong Market Fit, Attendance Not Confirmed
NASA Government / research buyer Data-intensive mission, research, and analytics environments align with the event theme. nasa.gov Program Manager, IT Director, Data Architect Strong Market Fit, Attendance Not Confirmed
5. Job Profiles, Industries and Event Type
Priority Job Title / Function Department Seniority Level Why This Role Matters
1 Chief Data Officer Data / Analytics C-Level Owns enterprise data strategy, governance, and platform investment.
2 VP Data / Analytics Data / Analytics VP Defines tools, roadmaps, and vendor selection for analytics modernization.
3 Director of Data Engineering Engineering / Data Platform Director Influences ETL/ELT, warehousing, pipelines, and platform integration.
4 Director of Analytics / BI Analytics / BI Director Responsible for reporting, insights delivery, and self-service analytics.
5 CIO / CTO IT Leadership C-Level Owns platform standards, cloud investment, and enterprise transformation priorities.
6 Procurement Manager / Strategic Sourcing Manager Procurement Manager / Senior Manager Supports software evaluation, commercial negotiations, and vendor risk review.
7 Data Governance Lead / Privacy Lead Governance / Compliance Manager / Director Key stakeholder for access control, policy, and audit readiness.
8 Enterprise Architect / Platform Architect Architecture / IT Senior Manager / Director Evaluates interoperability, scalability, and stack design.
9 Solutions Architect / Cloud Architect Engineering / Cloud Senior IC / Manager Often the technical evaluator and implementation gatekeeper.
10 Product Analytics / Data Product Manager Product / Analytics Manager / Director Needs reliable data for product, customer, and monetization decisions.
Priority Apollo Industry Why It Fits the Event Best Buyer Use Case
1 Information Technology & Services Core industry for cloud, data, and platform decision-makers. Enterprise platform buying and digital transformation
2 Computer Software High concentration of technical evaluators and platform buyers. Data platform, BI, and AI tooling
3 Financial Services Large regulated buyers of secure analytics and governance solutions. Risk, compliance, reporting, AI governance
4 Retail Strong use cases for merchandising, supply chain, customer analytics. Demand forecasting, BI, omnichannel analytics
5 Health, Wellness & Fitness Health systems and digital health organizations need governed data workflows. Healthcare analytics and interoperability
6 Hospital & Health Care Clinical, operational, and claims data modernization are top priorities. Data governance, reporting, secure sharing
7 Telecommunications Network-scale analytics and customer intelligence are common needs. Operational analytics and AI applications
8 Logistics & Supply Chain Data-driven operations and forecasting are important buying triggers. Supply chain visibility and optimization
9 Marketing & Advertising Customer data platforms and attribution analytics are highly relevant. CDP, BI, audience analytics
10 Management Consulting Consultancies influence client platform selection and implementation. Channel, referral, and co-sell opportunities
6. Estimated Attendance
Metric Figure Status Source / Basis Notes
Estimated total footfall Not publicly confirmed Confirmed absence of public number Official materials reviewed did not disclose a current-year figure Use only organizer-confirmed data if obtained later.
Exhibitor count Not publicly confirmed Unconfirmed Requires official exhibitor directory or prospectus Current-year exhibitor count should be checked on summit.snowflake.com.
Buyer count Not publicly confirmed Unconfirmed No current-year buyer list publicly verified in reviewed materials High likelihood of enterprise buyer presence, but not countable without organizer data.
Speaker count Not publicly confirmed Unconfirmed Agenda and speaker roster should be used for validation Useful for confirmed speaker-org prospecting once list is published.
Sponsor count Not publicly confirmed Unconfirmed Event sponsorship pages / prospectus needed Sponsor ecosystem is typically substantial for Snowflake Summit.
Historical attendance Not used here Historical / prior-year evidence only Prior-year official event materials may contain figures Avoid using unverified numbers in outreach materials.
7. Key Focus Areas and Buyer Engagement
Focus Area Typical Buyer Need Buyer Engagement Opportunity Relevant Supplier Offering
Data Platform Modernization Consolidate data systems and reduce complexity Architecture review, migration planning, proof-of-value demos Cloud data platforms, migration services, architecture consulting
AI / ML Enablement Operationalize AI on trusted data Use-case workshops, data readiness assessments ML platforms, feature stores, AI governance tools
Security / Governance Protect sensitive data and meet compliance obligations Risk and compliance conversations with technical and executive stakeholders Data security, masking, policy, access control, audit tooling
Analytics / BI Improve insights access and decision speed Executive dashboards and self-service analytics demos BI, semantic layer, reporting, data catalog tools
Data Sharing / Monetization Externalize and commercialize data assets Partnership and marketplace discussions Data sharing platforms, marketplaces, API services
Cloud Cost / FinOps Control spend while scaling workloads ROI and savings-led outreach FinOps, workload optimization, observability
Lead Quality Assessment
Factor Assessment Explanation
Buyer relevance Very High The event attracts exactly the kinds of data, cloud, analytics, and transformation buyers that many B2B suppliers want.
Decision-maker availability High Strong mix of executives, directors, architects, and technical evaluators.
Data collection potential High Once attendee, speaker, or sponsor rosters are available, the list-building potential is strong.
Apollo targeting potential Very High Apollo can efficiently target industries, seniority, titles, geographies, and company sizes aligned to this audience.
Geographic targeting potential High The San Francisco location is ideal for West Coast enterprise and tech-account targeting, plus national accounts.
Best outreach approach High-touch ABM + event-triggered outreach Target by account list, role, and event theme; align messaging to current data/AI modernization priorities.
Overall lead quality Very High One of the strongest enterprise technology events for data and AI buyer intelligence.
Best use case Attendee list sales, account-based prospecting, partner targeting, and enterprise pipeline generation Best suited for firms selling data infrastructure, cloud software, implementation, analytics, and governance solutions.
Limitations / risks Limited public attendee data Current-year attendance and attendee list details may not be publicly available before the event.
Apollo.io Targeting Recommendation
Filter Type Recommended Filters Purpose
Apollo industries Information Technology & Services; Computer Software; Financial Services; Retail; Hospital & Health Care; Telecommunications; Logistics & Supply Chain; Management Consulting Prioritize industries most likely to buy data, analytics, and cloud solutions.
Departments Information Technology; Engineering; Data & Analytics; Procurement; Operations; Product; Security Focus on functional owners and evaluators.
Seniority Manager; Director; VP; CXO; Head Capture both decision-makers and active platform influencers.
Job titles Chief Data Officer; VP Data; Director of Data Engineering; Director of Analytics; CIO; CTO; Enterprise Architect; Cloud Architect; Procurement Manager; Strategic Sourcing Manager; Data Governance Lead Match direct buying roles and technical evaluators.
Geography United States; California; West Coast metros; New York; Texas; Washington; Illinois; Massachusetts; UK; Canada; Singapore Target enterprise markets with strong cloud and data-spend density.
Employee size 201-500; 501-1,000; 1,001-5,000; 5,001-10,000; 10,000+ Best fit for enterprise and upper mid-market deal sizes.
Keywords data cloud; analytics; Snowflake; data engineering; AI; machine learning; governance; modern data stack; data platform; BI; cloud migration Find teams already investing in aligned initiatives.
Technologies Snowflake; AWS; Azure; Databricks; dbt; Tableau; Power BI; Looker; Kafka; Spark Useful if prospecting around stack adjacency or migration opportunities.
Company type Enterprise; Scale-up; Regulated enterprise; Systems integrator; Consulting firm Prioritize organizations with active transformation budgets.
Revenue range $50M+ where applicable; highest priority at $500M+ Aligns with enterprise-scale buying behavior.
Suggested Apollo Search Logic: (industry contains “Information Technology & Services” OR “Computer Software” OR “Financial Services” OR “Retail” OR “Hospital & Health Care”) AND (job title contains “Data” OR “Analytics” OR “CIO” OR “CTO” OR “Architect” OR “Procurement” OR “Sourcing”) AND (seniority is Manager OR Director OR VP OR CXO) AND (keywords contain “Snowflake” OR “data cloud” OR “analytics” OR “AI” OR “data engineering”).
Client Fit Review Required
Please share the client website or product/service details. I will review the client offering and identify the highest-fit buyer companies, Apollo industries, seniority levels, departments, and job titles from this event.
Sources & Verification Notes
Source Type What It Verified Reliability
Snowflake Summit Official Website Official organizer site Event brand, theme, positioning, and official event landing page High
Snowflake Summit Event Information Page Official organizer page Event positioning, audience relevance, and conference scope High
Snowflake Newsroom / Press Releases Official company source Corporate event announcements, product themes, and ecosystem context High
Snowflake Customer Stories Official company source Industry relevance and common buyer profiles across sectors High
Moscone Center Venue website San Francisco venue context and location verification support Medium to High
Eventscribe / Event Directory Reference Event platform reference Typical use for agendas, exhibitor directories, and speaker listings when published Medium
Snowflake LinkedIn Company Page Corporate social profile Additional confirmation of organizer identity and market positioning Medium

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