Skip to main content

ZoomInfo Data Platform — B2B Intelligence at Scale

Trusted by 35,000+ Go-To-Market Teams

The world's most trustedGTM Intelligence Layer

Built on 500M+ verified professional profiles, 100M+ company records, and real-time intent signals from 4,500+ topics — all backed by proprietary AI and human validation.

Explore the data See how it works

500M+

Professional Profiles

100M+

Company Records

4,500+

Intent Topics

300M+

Verified Emails

1.5B+

Data Points Processed Daily

96%

Email Deliverability Rate

87%

Mobile Number Accuracy

135M+

Direct Dial Numbers

9M+

Job Postings / Month

99%

Platform Uptime SLA

Data Coverage

Explore what's inside

Dive into the four pillars of ZoomInfo's data universe. Every dimension is verified, enriched, and continuously refreshed.

Contacts

Companies

Intent Signals

Technographics

Contact hit rates

Business email

96%

Mobile Phone

87%

Direct dial

72%

LinkedIn URL

94%

Job title distribution (M)

C-Suite / VP

42M

Director

68M

Manager

115M

Individual contrib.

290M

Entry level

185M

Key Stats

500M+Total Professional Profiles

300M+Verified business emails

135M+Direct dial numbers

International Reach

Global presence

ZoomInfo supports go-to-market execution across international markets with structured company and contact intelligence.

Explore global data

North America

79.6M+Companies

157.8M+Contacts

77.7M+Mobile numbers

Europe

20.5M+Companies

66M+Contacts

18.5M+Mobile numbers

Asia

4.8M+Companies

68.3M+Contacts

12.9M+Mobile numbers

South America

2.6M+Companies

28.7M+Contacts

2.3M+Mobile numbers

Africa

824K+Companies

18.1M+Contacts

2.8M+Mobile numbers

Australia & NZ

2.2M+Companies

12.7M+Contacts

4.1M+Mobile numbers

Data Pipeline

How ZoomInfo builds and maintains data quality

From signal detection to real-time delivery — a four-stage pipeline combining AI, human expertise, and always-on streaming.

Click any stage to explore

Stage 1Signal detection10M+ pages/day

Stage 2AI/ML verificationSMTP-level validation

Stage 3Continuous enrichment15–20M job changes/mo

Stage 4Always-on deliveryReal-time streaming

Always-on streaming updates

ServiceNow acquires Armis — Dec 23, 2025

Srini Gopalan named CEO at T-Mobile — Nov 1, 2025

CompanyPerson

▶ Run Example

Signal Detected

Web crawler surfaces press release: ServiceNow announces definitive agreement to acquire Armis, a cybersecurity asset intelligence company, in a deal valued at $2.85B.

Researcher Validates

Human analyst cross-references ServiceNow investor site and confirms deal terms. Armis ZI Company ID flagged for hierarchy update. Acquisition type logged as full acquisition, not merger.

Hierarchy Linked

Corporate hierarchy updated: Armis (ZI ID 346821904) becomes a wholly-owned subsidiary of ServiceNow (ZI ID 10234571). 1,400+ contact records re-parented. Ultimate Parent ID updated across all Armis locations.

Streaming to Customers

Updated company and contact records pushed to all connected CRMs and APIs. M&A scoop signal published with acquirer, target, deal value, and announcement date.

Complete — ServiceNow acquires Armis delivered to customers in 17 minutes

Signal Detected

PR Newswire release detected: T-Mobile announces Srini Gopalan as incoming CEO, succeeding Mike Sievert effective November 1, 2025.

Researcher Validates

Analyst cross-references press release and public sources to confirm role transition. Contact record created with new title, direct phone, and T-Mobile email pattern.

Contact Records Updated

Srini Gopalan (ZI Contact ID 889204431) linked to T-Mobile (ZI Company ID 10198822) as CEO, C-Level. Mike Sievert title updated to Former CEO.

Streaming to Customers

Updated contact records pushed to all connected CRMs and APIs. Executive move scoop published with incoming exec name, title, predecessor, and effective date for trigger-based outreach.

Complete — Srini Gopalan named CEO at T-Mobile delivered to customers in 19 minutes

Intent & Buying Signals

Know who's in‑market before they raise their hand

ZoomInfo tracks 4,500+ intent topics across 85M+ weekly signals — surfacing accounts actively researching your category before they contact a competitor.

4,500+Intent Topics Tracked

85M+Weekly Intent Signals

1.2M+Accounts Monitored Weekly

Weekly Signal Volume (52 weeks)

0M30M60M90M120MW1W14W27W40

Browse Intent Topics

Cloud & infrastructure

Cloud MigrationKubernetesAWSAzureServerlessEdge Computing

Security

Zero TrustSIEMEndpoint SecurityIdentity ManagementRansomware Defense

Data & Analytics

Business IntelligenceData WarehouseML PlatformsData Governance

CRM & sales tools

CRM ImplementationSales EnablementRevenue IntelligenceCPQ

HR & talent

HRISRecruiting SoftwareEmployee ExperienceLearning Management

Finance & payments

ERPAccounts PayableSpend ManagementPayments Infrastructure

AI & Emerging Tech

Artificial IntelligenceMachine LearningInternet of Things (IoT)Chatbot & Live Chat Software

Topic Stats

Cloud Migration

Weekly signals2.4M

Surging accounts18,400

Avg Surge Duration3.2 weeks

GraphQL Dataset Explorer

All datasets - how they connect

Every ZoomInfo data entity is accessible via a unified GraphQL API. Click any node to explore its schema and see how IDs stitch the entire data graph together.

Access ZoomInfo data via APIs and MCP

CRM LayerZI IntelligenceMarket DataAI & Signals

EnrichmentCRMAISignalsMarket

CRM layerZI intelligenceMarket dataAccountContactOpportunityMeetingEmailUserZiCompanyZiContactSignalFactJobPostLoanStatementFinancialFilingEarningsCallProductReviewForm5500Filing

Click any entity to explore its schemax Clear

</>

Click any entity node in the graph to explore its schema, connected datasets, and an example query.

DATA CATALOG

Every dataset in the ZoomInfo platform

25 specialized datasets across core firmographics, behavioral signals, and vertical-specific intelligence

4core datasets

Foundational company and contact intelligence

9signals datasets

Real-time behavioral and market signals

12vertical datasets

Deep vertical-specific data for specialized industries

All (25)Core (4)Signals (9)Vertical (12)

CompanyCore

The definitive B2B company record

80 fields

ContactCore

Person-level intelligence at scale

26 fields

Job PostingsCore

Hiring activity across 281M job postings worldwide

32 fields

Earnings & Public FilingsCore

Turn public earnings events into sales intelligence

41 fields

IntentSignals

Catch buyers while they're actively researching

13 fields

IP IntelligenceSignals

Identify anonymous web visitors by company

10 fields

FundingSignals

Venture rounds, PE investments, and debt financing events

9 fields

Mergers & AcquisitionsSignals

M&A activity creating displacement and expansion opportunities

9 fields

IPO AnnouncementsSignals

Companies going public and entering new spending cycles

9 fields

Facilities & Geographic ExpansionSignals

New offices, relocations, and market entry events

9 fields

Awards, Events, Partnerships & Product LaunchesSignals

Recognition, alliances, and go-to-market milestones

9 fields

Executive Moves, Promotions, Hiring Plans & LayoffsSignals

Leadership changes and workforce signals

9 fields

Podcast MentionsSignals

Companies and executives mentioned across business podcasts

12 fields

Auto DealershipsVertical

Franchise and independent dealerships with inventory and brand data

12 fields

AUM (Assets Under Management)Vertical

Target financial firms by AUM size

23 fields

Contractor LicensingVertical

Reach licensed contractors by specialty

35 fields

First Mover Advantage (FMA)Vertical

Reach new businesses before competitors do

60 fields

FleetVertical

Segment companies by vehicle fleet composition

45 fields

Form 5500 (Benefits)Vertical

Target benefit plan sponsors, providers, and brokers

79 fields

FranchiseVertical

Map franchisor-franchisee relationships

36 fields

MSP / MSSPVertical

Identify managed service and security providers

12 fields

National Insurance Producers (NPI)Vertical

Reach every licensed insurance professional

48 fields

RestaurantVertical

Location-level restaurant data nationwide

10 fields

Trust & RiskVertical

Financial health and risk signals for every company

36 fields

UCC FilingsVertical

Financing relationships between debtors and creditors

30 fields

Live Job Post Data

See who's hiring and what they're building

Explore job postings by company to identify hiring velocity, technology adoption, and talent signals.

Select a companyOpenAIAnthropicHarveyCursorReplitVercel

OpenAI6 total postings · AI Research

All postings Career page

RESEARCH (1)

Research Scientist, AlignmentOpen View](https://openai.com/careers)

San Francisco, CASenior$295K–$440KResearch

PythonPyTorchRLHFJAX+1 more

ENGINEERING (2)

Staff SWE, API PlatformOpen View](https://openai.com/careers)

San Francisco, CAStaff$275K–$385KEngineering

PythonGoKubernetesPostgreSQL+1 more

ML Engineer, Post-TrainingOpen View](https://openai.com/careers)

San Francisco, CASenior$280K–$400KEngineering

PythonPyTorchCUDATriton+1 more

SALES (1)

Enterprise Account ExecutiveOpen View](https://openai.com/careers)

San Francisco, CAIndividual Contributor$130K–$180KSales

SalesforceOutreachChatGPT Enterprise

PRODUCT (1)

Product Manager, ChatGPTOpen View](https://openai.com/careers)

San Francisco, CASenior$220K–$310KProduct

SQLAmplitudePythonREST APIs

SAFETY (1)

Safety Engineer, Red TeamOpen View](https://openai.com/careers)

San Francisco, CASenior$260K–$370KSafety

PythonLLMsAdversarial MLTransformers

WebSight BuyerID

Stop guessing who's on your website

For years, intent data told you “Company A hit your pricing page.” ZoomInfo now tells you it was Person A from your buying group — and alerts your rep before they leave.

15% +Anonymous buying group visitors identified to an individual

50-60%US business traffic resolved to a company

500MProfiles in ZoomInfo's identity graph

4 channelsRep alert delivery (Slack, Teams, email, Copilot)

How it works - click any step

Anonymous visitA buyer lands on your pricing page. No form, no login - just a browser signal.

Company resolvedIP intelligence maps the traffic to a named company in milliseconds.

Person identifiedCross-referencing device IDs, cookies, and email signals narrows it down to a specific person.

Rep gets alertedYour sales rep is notified instantly — in Slack, Teams, email, mobile, or Copilot.

Why ZoomInfo is different

HubSpot / Salesforce identify visitors who filled a form or clicked an email

ZoomInfo identifies visitors with no prior interaction required

Marketing tools report "Company A visited your page" with no contact

ZoomInfo reports the specific person, their title, and their contact info

Consumer-grade data can't bridge personal + corporate identity

ZoomInfo's identity graph resolves both in one lookup

Rep Alerts Delivered Via

Slack & Teams

Email

Mobile

ZoomInfo Copilot

What Gets Resolved

• Name, title, and seniority level
• Direct phone and business email
• Company, industry, and headcount
• Active buying intent topics
• Pages visited and recency

US-only, enterprise-grade. WebSight BuyerID operates exclusively in the United States, where ZoomInfo's identity graph is deepest and privacy compliance is fully managed. GDPR markets are not in scope.

Already have form fills? You get more. If a visitor previously submitted a form, ZoomInfo recognizes them on every subsequent visit — even months later, across devices.

Trust & Compliance

Built on a foundation of privacy and security

ZoomInfo holds the industry's most comprehensive set of data privacy certifications — and enforces them on every record update.

SOC 2 Type II

AICPA

Annual third-party security & availability audit

ISO 27001

ISO

Information security management system

ISO 27701

ISO

Privacy information management extension

GDPR Compliant

EU

European data protection standard adherence

CCPA Compliant

California

Consumer privacy act full adherence

TRUSTe Certified

TrustArc

Independent privacy practice verification

IAPP Member

IAPP

International privacy professionals association

NAI Member

NAI

Network advertising initiative self-regulation

FPF Member

FPF

Future of privacy forum thought leadership

Transparent Sourcing

Every data point is traceable to its origin — web crawl, contributor signal, or research team validation. We publish our full methodology.

Right to Opt-Out

Any individual can request removal via our Privacy Center. Requests are processed within 48–72 hours with automated confirmation.

Continuous Auditing

Automated compliance checks run on every record update. The publishability framework enforces quality thresholds before any data surfaces to customers.

Notice & Choice

After continuous enrichment, all data subjects are sent notice of their data collection to comply with worldwide data privacy standards. Every individual has the right to access, correct, or remove their data via ZoomInfo's Privacy Center — requests are processed within 48–72 hours with automated confirmation.

GTM DATA SERVICES

We build the data foundation your GTM runs on

Data Foundation Development

Unify your first-party CRM and operational systems with ZoomInfo as the golden referential dataset. We establish matched unique identifiers as primary keys across your data layer — giving every downstream system a single, authoritative source of truth for accounts and contacts.

Customer & Account Definition

What counts as a "customer" or an "account" varies wildly by industry and business model. We work with your team to define entity models — whether that's site-level, country-level, HQ-based, or ultimate parent rollup — so your data reflects how your business actually operates.

Deduplication & Hierarchy Linkage

Post-match, we identify true duplicates vs. intentional duplicates, then build parent/child hierarchical relationships across your account universe. The result: clean whitespace discovery, accurate suppression lists, and territory rollups that hold up at scale.

TAM → SAM → SOM Segmentation

Apply your TAM criteria against a clean, enriched account universe, then score and prioritize the addressable market using fit signals from firmographic, technographic, and behavioral data. Know exactly where to focus — and where not to.

In-Market Signal Foundation

Configure evergreen buying signals tailored to your business: executive job changes, senior department job postings, office expansions, intent topic spikes. We build the signal layer once, then tune it to surface the right accounts at the right moment — automatically.

Ready to get started?

Talk to a specialist who can scope the right engagement for your data environment.

Talk to a specialist

★★★★★Rated #1 on G2 Sales Intelligence

Ready to power your pipeline with trusted intelligence?

Join 35,000+ companies using ZoomInfo to find, connect, and close faster.

Get free demo Explore pricing

Contact hit rates

Business email

96%

Mobile Phone

87%

Direct dial

72%

LinkedIn URL

94%

Job title distribution (M)

C-Suite / VP

42M

Director

68M

Manager

115M

Individual contrib.

290M

Entry level

185M

Key Stats

500M+Total Professional Profiles

300M+Verified business emails

135M+Direct dial numbers

Industry Breakdown

Technology

8.4K

Professional Svcs

7.2K

Manufacturing

6.7K

Healthcare

5.2K

Financial Services

4.1K

Retail & E-Comm

3.9K

Education

2.1K

Government

1.8K

Company Size Mix

38%

1–10

22%

11–50

18%

51–200

13%

201–1K

6%

1K–5K

3%

5K+

Key Stats

100M+Total Company Records

34M+International Companies

20+Firmographic Data Points per Company

Weekly Signal Volume (52 weeks)

0M30M60M90M120MW1W14W27W40

Cloud MigrationKubernetesAWSZero TrustSIEMEndpoint SecurityBusiness IntelligenceData WarehouseML PlatformsCRM ImplementationSales EnablementRevenue IntelligenceHRISRecruiting SoftwareEmployee ExperienceArtificial IntelligenceMachine LearningInternet of Things (IoT)ERPAccounts PayableSpend Management

Topics by Category

AWS

4M

Slack

750K

Hubspot

250K

Salesforce

150K

Zendesk

100K

Microsoft 365

68K

Marketo

47K

Snowflake

13K

Key Stats

30K+Technology Products Tracked

4.5M+Companies with Tech Stack Data

60-dayAverage Refresh Cycle

Signal detection

• Web crawlers scanning 10M+ pages per day

• Third-party partnerships: Sec of State, postal APIs, vertical datasets

• Email engagement & signature metadata

• Human research teams monitoring funding, M&A, leadership changes

AI/ML verification

• Multi-layer email verification including SMTP handshake and domain validation

• Machine learning models score confidence on every data point

• Deliverability testing before data enters the database

• Human research team validates high-stakes or ambiguous records

Continuous enrichment

• 15–20M job change events processed monthly

• Corporate hierarchy linking connects subsidiaries and parent companies

• Acquired entities and leadership changes tracked in real time

• Tech stack detection updated on a 60-day rolling cycle

Always-on delivery

• Real-time streaming API pushes updates to CRM, MAP, and data warehouse integrations

• 99.9%+ API uptime SLA with redundant multi-AZ infrastructure

• Webhook and bulk export options for batch ingestion workflows

• Updates delivered within minutes of signal detection

CompanyCore

The definitive B2B company record

80 fields

ContactCore

Person-level intelligence at scale

26 fields

Job PostingsCore

Hiring activity across 281M job postings worldwide

32 fields

Earnings & Public FilingsCore

Turn public earnings events into sales intelligence

41 fields

IntentSignals

Catch buyers while they're actively researching

13 fields

IP IntelligenceSignals

Identify anonymous web visitors by company

10 fields

FundingSignals

Venture rounds, PE investments, and debt financing events

9 fields

Mergers & AcquisitionsSignals

M&A activity creating displacement and expansion opportunities

9 fields

IPO AnnouncementsSignals

Companies going public and entering new spending cycles

9 fields

Facilities & Geographic ExpansionSignals

New offices, relocations, and market entry events

9 fields

Awards, Events, Partnerships & Product LaunchesSignals

Recognition, alliances, and go-to-market milestones

9 fields

Executive Moves, Promotions, Hiring Plans & LayoffsSignals

Leadership changes and workforce signals

9 fields

Podcast MentionsSignals

Companies and executives mentioned across business podcasts

12 fields

Auto DealershipsVertical

Franchise and independent dealerships with inventory and brand data

12 fields

AUM (Assets Under Management)Vertical

Target financial firms by AUM size

23 fields

Contractor LicensingVertical

Reach licensed contractors by specialty

35 fields

First Mover Advantage (FMA)Vertical

Reach new businesses before competitors do

60 fields

FleetVertical

Segment companies by vehicle fleet composition

45 fields

Form 5500 (Benefits)Vertical

Target benefit plan sponsors, providers, and brokers

79 fields

FranchiseVertical

Map franchisor-franchisee relationships

36 fields

MSP / MSSPVertical

Identify managed service and security providers

12 fields

National Insurance Producers (NPI)Vertical

Reach every licensed insurance professional

48 fields

RestaurantVertical

Location-level restaurant data nationwide

10 fields

Trust & RiskVertical

Financial health and risk signals for every company

36 fields

UCC FilingsVertical

Financing relationships between debtors and creditors

30 fields

CompanyCore

The definitive B2B company record

80 fields

ContactCore

Person-level intelligence at scale

26 fields

Job PostingsCore

Hiring activity across 281M job postings worldwide

32 fields

Earnings & Public FilingsCore

Turn public earnings events into sales intelligence

41 fields

IntentSignals

Catch buyers while they're actively researching

13 fields

IP IntelligenceSignals

Identify anonymous web visitors by company

10 fields

FundingSignals

Venture rounds, PE investments, and debt financing events

9 fields

Mergers & AcquisitionsSignals

M&A activity creating displacement and expansion opportunities

9 fields

IPO AnnouncementsSignals

Companies going public and entering new spending cycles

9 fields

Facilities & Geographic ExpansionSignals

New offices, relocations, and market entry events

9 fields

Awards, Events, Partnerships & Product LaunchesSignals

Recognition, alliances, and go-to-market milestones

9 fields

Executive Moves, Promotions, Hiring Plans & LayoffsSignals

Leadership changes and workforce signals

9 fields

Podcast MentionsSignals

Companies and executives mentioned across business podcasts

12 fields

Auto DealershipsVertical

Franchise and independent dealerships with inventory and brand data

12 fields

AUM (Assets Under Management)Vertical

Target financial firms by AUM size

23 fields

Contractor LicensingVertical

Reach licensed contractors by specialty

35 fields

First Mover Advantage (FMA)Vertical

Reach new businesses before competitors do

60 fields

FleetVertical

Segment companies by vehicle fleet composition

45 fields

Form 5500 (Benefits)Vertical

Target benefit plan sponsors, providers, and brokers

79 fields

FranchiseVertical

Map franchisor-franchisee relationships

36 fields

MSP / MSSPVertical

Identify managed service and security providers

12 fields

National Insurance Producers (NPI)Vertical

Reach every licensed insurance professional

48 fields

RestaurantVertical

Location-level restaurant data nationwide

10 fields

Trust & RiskVertical

Financial health and risk signals for every company

36 fields

UCC FilingsVertical

Financing relationships between debtors and creditors

30 fields

CompanyCore

The definitive B2B company record

80 fields

Comprehensive firmographic data on 100M+ companies — headquarters, revenue, employee count, industry, technographics, hierarchy, and AI-generated briefs.

Coverage: Global

PROD_MASTER_DB.DATA_CUBE.COMP_STANDARD

KEY FIELDS

ZoomInfo Company IDCompany NameWebsiteRevenueEmployee CountIndustrySub-IndustrySIC / NAICSHQ AddressPhoneUltimate Parent IDImmediate Parent IDLinkedIn URLTechnographics

USE CASES

Account enrichmentTAM sizingICP scoringAccount hierarchy mapping

ContactCore

Person-level intelligence at scale

26 fields

Professional profiles for 500M+ people — verified emails, mobile phones, direct dials, job titles, management level, and accuracy scores.

Coverage: Global

PRD_DATA_SERVICES_AND_SOLUTIONS.PRD_DATACUBES.PERSON_DATACUBE_TABLE

KEY FIELDS

ZoomInfo Contact IDFirst / Last NameJob TitleJob FunctionManagement LevelDirect PhoneMobile PhoneEmail AddressContact Accuracy ScoreContact Accuracy GradeLinkedIn URLNotice Provided DateZoomInfo Company ID

USE CASES

Contact enrichmentOutbound sequencingABM targetingPersona modeling

Job PostingsCore

Hiring activity across 281M job postings worldwide

32 fields

Aggregated job posting data sourced from PredictLeads — 281M+ records spanning 6.5 years of history. Includes job title, department, management level, salary, contract type, and open/closed status, all linkable to ZoomInfo company records.

Coverage: Global (2019–present)

yazi-prd-zany-zebra.zdp_gtm_store.v_latest_job_post_global

KEY FIELDS

Job TitleCompany NameWebsite DomainZI Company IDDescriptionCategoriesDepartmentsJob FunctionsManagement LevelContract TypeSalaryAddressFirst SeenLast SeenJob Post Closed

USE CASES

Hiring signal prospectingICP role targetingCompetitive talent trackingGTM trigger campaigns

Earnings & Public FilingsCore

Turn public earnings events into sales intelligence

41 fields

Full transcripts and metadata for 250K+ earnings calls, presentations, and investor events sourced from Aiera. Covers earnings calls (13.5%), earnings releases (25%), presentations (53%), special situations, and investor meetings — with 100% ZoomInfo company match rate.

Coverage: United States — Public Companies (2022–present)

PRD_DATA_SERVICES_AND_SOLUTIONS.PRD_DATACUBES.EARNINGS_CUBE_TABLE

KEY FIELDS

ZoomInfo Company IDCompany NameTickerBloomberg TickerEvent TypeEvent DateFiscal YearFiscal QuarterConsolidated TranscriptTranscript Audio URLPublic URLStatus

USE CASES

Executive briefingsAccount planningCompetitive researchTrigger-based outreach

IntentSignals

Catch buyers while they're actively researching

13 fields

Weekly intent signals across 4,500+ topics — identifies companies showing above-normal research activity with signal scores (60–100) and audience strength ratings.

Coverage: United States

PRD_DATA_SERVICES_AND_SOLUTIONS.PRD_DATACUBES.INTENT_WEEKLY_DATACUBE_TABLE

KEY FIELDS

Intent IDDateTopicCategorySignal Score (60–100)Audience StrengthSignal LocationZI Company IDCompany NameCompany URLIndustryRevenueEmployee Size

USE CASES

In-market prioritizationDemand gen targetingCompetitive displacementCampaign timing

IP IntelligenceSignals

Identify anonymous web visitors by company

10 fields

Maps IP addresses to company records using domain-matching confidence scores — enabling de-anonymization of website traffic at 50–60% resolution rates in the US.

Coverage: United States

PRD_DATA_SERVICES_AND_SOLUTIONS.PRD_DATACUBES.IP_DATACUBE_TABLE

KEY FIELDS

IP AddressIPv6 FlagDomainZoomInfo Company IDConfidence ScoreCityStateCountryLast Seen DateAll Domains and Scores

USE CASES

Website visitor IDPixel-based de-anonymizationAccount-based web analyticsReverse IP lookup

FundingSignals

Venture rounds, PE investments, and debt financing events

9 fields

Tracks funding rounds, private equity investments, venture capital activity, and debt financing events sourced from news, press releases, and proprietary research — each linked to ZoomInfo company and contact records.

Coverage: United States

PRD_DATA_SERVICES_AND_SOLUTIONS.PRD_DATACUBES.SCOOPS_DATACUBE_TABLE

KEY FIELDS

Round Type (Seed / Series A–E / Growth / Debt)Amount RaisedLead InvestorCo-InvestorsPost-Money ValuationAnnouncement DateZI Company IDCompany NameSource URL

USE CASES

Post-funding outreachVC-backed account targetingDeal flow monitoringGrowth signal campaigns

Mergers & AcquisitionsSignals

M&A activity creating displacement and expansion opportunities

9 fields

Verified merger, acquisition, divestiture, and subsidiary formation events — signals of technology consolidation, budget reallocation, and new buying centers emerging from corporate transactions.

Coverage: United States

PRD_DATA_SERVICES_AND_SOLUTIONS.PRD_DATACUBES.SCOOPS_DATACUBE_TABLE

KEY FIELDS

Transaction Type (Merger / Acquisition / Divestiture)Acquirer CompanyTarget CompanyDeal ValueAnnouncement DateExpected Close DateAcquirer ZI Company IDTarget ZI Company IDSource URL

USE CASES

Competitive displacementIntegration vendor targetingNew entity prospectingDeal acceleration

IPO AnnouncementsSignals

Companies going public and entering new spending cycles

9 fields

Tracks IPO filings, S-1 announcements, direct listings, and SPAC mergers — companies entering public markets typically unlock significant new technology and services budgets.

Coverage: United States

PRD_DATA_SERVICES_AND_SOLUTIONS.PRD_DATACUBES.SCOOPS_DATACUBE_TABLE

KEY FIELDS

Offering Type (IPO / Direct Listing / SPAC)Target ExchangeTicker SymbolOffering Price RangeShares OfferedLead UnderwriterS-1 Filing DateExpected IPO DateZI Company IDSource URL

USE CASES

Pre-IPO pipeline buildingPost-IPO budget captureSPAC target identificationPublic market entry triggers

Facilities & Geographic ExpansionSignals

New offices, relocations, and market entry events

9 fields

Covers new office openings, headquarters relocations, data center buildouts, geographic market expansions, and facility closures — signals of organizational growth or contraction requiring new vendor relationships.

Coverage: United States

PRD_DATA_SERVICES_AND_SOLUTIONS.PRD_DATACUBES.SCOOPS_DATACUBE_TABLE

KEY FIELDS

Event Type (New Office / Relocation / Closure / Data Center)New Location AddressCityStateCountrySquare FootageHeadcount CapacityMove / Opening DateZI Company IDSource URL

USE CASES

Location-based prospectingRelocation vendor outreachRegional expansion targetingFacilities services campaigns

Awards, Events, Partnerships & Product LaunchesSignals

Recognition, alliances, and go-to-market milestones

9 fields

Tracks industry awards, conference sponsorships, strategic partnerships, channel alliances, and new product or service launches — signals of organizational momentum and budget commitment to growth.

Coverage: United States

PRD_DATA_SERVICES_AND_SOLUTIONS.PRD_DATACUBES.SCOOPS_DATACUBE_TABLE

KEY FIELDS

Signal Type (Award / Partnership / Product Launch / Event)Award or Event NameRecognizing Body / OrganizerPartner CompanyProduct or Service NameAnnouncement DateCategory / IndustryZI Company IDPartner ZI Company IDSource URL

USE CASES

Partnership-triggered outreachLaunch event follow-upAlliance ecosystem mappingAward winner targeting

Executive Moves, Promotions, Hiring Plans & LayoffsSignals

Leadership changes and workforce signals

9 fields

Covers C-suite and VP-level appointments, promotions, departures, announced hiring plans, and layoffs or RIFs — leadership transitions and headcount signals that create new buying relationships and technology re-evaluation cycles.

Coverage: United States

PRD_DATA_SERVICES_AND_SOLUTIONS.PRD_DATACUBES.SCOOPS_DATACUBE_TABLE

KEY FIELDS

Signal Type (New Hire / Promotion / Departure / Hiring Plan / Layoff)Executive NamePrevious TitleNew TitlePrevious CompanyDepartment / FunctionEffective DateHeadcount ImpactZI Company IDZI Contact IDSource URL

USE CASES

New exec onboarding outreachLayoff-triggered cost solutionsHiring plan vendor targetingLeadership change alerts

Podcast MentionsSignals

Companies and executives mentioned across business podcasts

12 fields

Tracks when companies, executives, products, and topics are mentioned across major business, technology, and industry podcasts — surfacing brand visibility signals, competitive intelligence, and executive thought leadership activity before it registers in traditional media.

Coverage: United States

PRD_DATA_SERVICES_AND_SOLUTIONS.PRD_DATACUBES.PODCAST_MENTIONS_TABLE

KEY FIELDS

Podcast NameEpisode TitlePublish DateMentioned CompanyMentioned ExecutiveMention ContextSentiment (Positive / Neutral / Negative)Episode DurationEstimated Listener ReachZI Company IDZI Contact IDEpisode URL

USE CASES

Thought leadership trackingCompetitive brand monitoringExecutive visibility scoringPodcast-triggered outreach

Auto DealershipsVertical

Franchise and independent dealerships with inventory and brand data

12 fields

Auto dealership data linking franchise rooftops and independent dealers to ZoomInfo company records — includes OEM brand affiliations, dealership type, location, and ownership structure for precise automotive industry targeting.

Coverage: United States

DEV_EMDP.AUTO_DEALERSHIPS.GTM_MAR_17_1

KEY FIELDS

ZI Company IDDealership NameDealership Type (Franchise / Independent)OEM Brand(s)Rooftop CountStreetCityStateZIPOwner NameZI Contact IDContact Email

USE CASES

Auto finance prospectingDMS/CRM vendor targetingOEM dealer network mappingF&I product sales

AUM (Assets Under Management)Vertical

Target financial firms by AUM size

23 fields

Assets under management data for financial institutions — linked to ZoomInfo company records with institution type, AUM value, and active status for precise financial services targeting.

Coverage: United States

PRD_EMDP.ANALYSIS.GOLD_EMDP_AUM_DATASET

KEY FIELDS

ZI Company IDFinancial Institution NameInstitution TypeAUM AssetsActive StatusLast Updated DateCompany RevenueCompany EmployeesUltimate Parent ID

USE CASES

Fintech prospectingWealth management targetingAUM-based segmentationFinancial services ABM

Contractor LicensingVertical

Reach licensed contractors by specialty

35 fields

Professional contractor licensing data from state regulatory filings — both company-level and individual-level licenses with category, specialty, status, and expiration dates.

Coverage: United States

PRD_EMDP.ANALYSIS.GOLD_EMDP_CONTRACTOR_COMPANY_DATASET

KEY FIELDS

License NumberLicense Category / Sub-CategorySpecialtyFiling Contractor TypeLicense StatusIssue / Expiration DateCompany NameZI Company IDZI Contact IDContact EmailContact Accuracy Score

USE CASES

Construction industry targetingLicense renewal outreachTrade contractor prospectingSpecialty filter campaigns

First Mover Advantage (FMA)Vertical

Reach new businesses before competitors do

60 fields

Business registration data from Secretary of State filings — newly formed companies with verified physical addresses, officer contacts, incorporation dates, and filing types for first-mover outreach.

Coverage: United States

PRD_EMDP.ANALYSIS.GOLD_EMDP_FMA_DATASET

KEY FIELDS

Corp File IDState CodeCompany NameIncorporation DateFiling TypeCorp StatusBusiness AddressOfficer Name / Title / EmailZI Company IDZI Contact ID

USE CASES

New business prospectingDirect mail to new registrationsField marketing triggersSMB acquisition campaigns

FleetVertical

Segment companies by vehicle fleet composition

45 fields

Commercial fleet data including national and local fleet size, vehicle class breakdowns (GVW 1–8), and fuel type distribution — linked to ZoomInfo company records.

Coverage: United States

DEV_EMDP.FLEET.SILVER_FLEET_DATASET

KEY FIELDS

ZI Company IDNational Fleet SizeLocal Fleet SizeFleet Size by GVW Class (1–8)Fleet Size by Fuel TypeElectricDieselGasHybridHydrogen Fuel Cell

USE CASES

Fleet management targetingEV transition prospectingFuel/logistics vendor targetingInsurance fleet segmentation

Form 5500 (Benefits)Vertical

Target benefit plan sponsors, providers, and brokers

79 fields

DOL Form 5500 employee benefit plan filings — plan sponsors, service providers, insurers, and brokers with plan year, participant counts, and filing details.

Coverage: United States

DEV_EMDP.FORM_5500.GOLD_FORM_5500_2023

KEY FIELDS

Entity IDFiling IDPlan NumberPlan YearSponsor EINSponsor NameProvider Company IDInsurer Company IDBroker Company ID

USE CASES

HR/benefits vendor targetingInsurance carrier prospectingBenefits broker identificationCompliance-driven outreach

FranchiseVertical

Map franchisor-franchisee relationships

36 fields

Franchise relationship data linking franchisors to individual franchise locations — includes owner name, status, contact details, and ZoomInfo company/contact IDs for both parties.

Coverage: United States

DEV_EMDP.FRANCHISE.SILVER_FRANCHISE_20OCT2025

KEY FIELDS

Franchisor Company IDFranchisor NameFranchise Company IDFranchise LocationFranchise StatusOwner NameContact IDContact EmailContact Accuracy Score

USE CASES

Multi-unit franchise targetingFranchisor relationship mappingLocation-level prospectingFranchise network analysis

MSP / MSSPVertical

Identify managed service and security providers

12 fields

Companies designated as Managed Service Providers (MSP) or Managed Security Service Providers (MSSP) — enriched with ZoomInfo firmographics and vertical classification.

Coverage: United States

PRD_EMDP.ANALYSIS.GOLD_EMDP_MSP_DATASET

KEY FIELDS

ZI Company IDCompany NameMSP DesignatorStreetCityStateCountryURLPhoneEmployeesRevenue

USE CASES

Channel partner identificationIT services targetingCybersecurity prospectingVAR/MSP channel programs

National Insurance Producers (NPI)Vertical

Reach every licensed insurance professional

48 fields

Licensing and appointment data for insurance producers across all 50 states — NPN numbers, appointment status, licensed states, appointing entities, and contact details.

Coverage: United States (All 50 States)

PRD_EMDP.ANALYSIS.GOLD_EMDP_NPI_DATASET

KEY FIELDS

License NumberNPN NumberFull NameResidency StateLicensed StatesAppointing EntityAppointment StatusBusiness EmailDirect PhoneMobileZI Contact ID

USE CASES

Insurance carrier distributionProducer recruitmentAppointment-based targetingState-level compliance campaigns

RestaurantVertical

Location-level restaurant data nationwide

10 fields

Restaurant location data linked to ZoomInfo company records — individual location IDs, addresses, and coordinates for precise food service industry targeting.

Coverage: United States

DEV_EMDP.RESTAURANT.GOLD_EMDP_RESTAURANT_DATASET_21OCT2025

KEY FIELDS

ZI Location IDZI Company IDCompany NameStreetCityStateZIPCountryLatitude

USE CASES

Food/bev vendor targetingPOS system salesRestaurant location mappingSupply chain prospecting

Trust & RiskVertical

Financial health and risk signals for every company

36 fields

Credit risk scores, bankruptcy flags, sanctions screening, insolvency status, PEP flags, and failure risk ratings — sourced from regulatory and public record data.

Coverage: United States

DEV_EMDP.TRUST.BRONZE_TRUST_06MAR2026

KEY FIELDS

ZI Company IDLegal NameDBATax IDYear EstablishedFailure Risk RatingCredit Risk ScoreBankruptcy FlagActive SanctionsActive InsolvencyPEP Flag

USE CASES

Credit risk screeningCompliance KYB checksSanctions screeningCustomer health monitoring

UCC FilingsVertical

Financing relationships between debtors and creditors

30 fields

Uniform Commercial Code (UCC) filing data — secured transactions linking debtor and creditor companies with collateral codes, filing dates, and chain numbers.

Coverage: United States

PRD_EMDP.ANALYSIS.GOLD_EMDP_UCC_DATASET

KEY FIELDS

UCC Filing Chain NumberFiling NumberFiling StateAction CodeCollateral CodesFile DateDebtor Company ID / NameCreditor Company ID / NameCreditor Type

USE CASES

Equipment finance prospectingLender relationship mappingAsset-backed lending intelligenceCommercial credit analysis

Anonymous visit

The WebSight pixel fires on page load, capturing IP address, device fingerprint, and behavioral metadata. At this point the visitor is completely anonymous to you — but not to ZoomInfo.

Company resolved

ZoomInfo cross-references the visitor IP against our proprietary database of 100M+ company records. In milliseconds, an anonymous session becomes a named account — including company size, industry, and buying signals.

Person identified

Our identity graph links device fingerprints, deterministic email signals, and behavioral patterns to a specific individual within that company — surfacing their name, title, direct contact info, and intent activity.

Rep gets alerted

A real-time alert fires to your rep within seconds of identification — delivered wherever they work. The alert includes the visitor's full profile, the pages they viewed, and recommended next actions.

RESEARCH (1)

Research Scientist, AlignmentOpen View](https://openai.com/careers)

San Francisco, CASenior$295K–$440KResearch

PythonPyTorchRLHFJAX+1 more

ENGINEERING (3)

Staff SWE, API PlatformOpen View](https://openai.com/careers)

San Francisco, CAStaff$275K–$385KEngineering

PythonGoKubernetesPostgreSQL+1 more

ML Engineer, Post-TrainingOpen View](https://openai.com/careers)

San Francisco, CASenior$280K–$400KEngineering

PythonPyTorchCUDATriton+1 more

SALES (1)

Enterprise Account ExecutiveOpen View](https://openai.com/careers)

San Francisco, CAIndividual Contributor$130K–$180KSales

SalesforceOutreachChatGPT Enterprise

PRODUCT (2)

Product Manager, ChatGPTOpen View](https://openai.com/careers)

San Francisco, CASenior$220K–$310KProduct

SQLAmplitudePythonREST APIs

SAFETY (1)

Safety Engineer, Red TeamOpen View](https://openai.com/careers)

San Francisco, CASenior$260K–$370KSafety

PythonLLMsAdversarial MLTransformers

RESEARCH (1)

Research Engineer, Constitutional AIOpen View](https://anthropic.com/careers)

San Francisco, CASenior$280K–$420KResearch

PythonJAXPyTorchRLHF+1 more

ENGINEERING (1)

SWE, Claude API InfrastructureOpen View](https://anthropic.com/careers)

San Francisco, CASenior$255K–$370KEngineering

PythonRustAWSKubernetes+1 more

SALES (1)

Enterprise Solutions EngineerOpen View](https://anthropic.com/careers)

San Francisco, CAIndividual Contributor$155K–$215KSales

Claude APIPythonREST APIsSalesforce

POLICY (1)

Policy Researcher, AI GovernanceOpen View](https://anthropic.com/careers)

San Francisco, CASenior$200K–$290KPolicy

PythonRPolicy Analysis

PRODUCT (1)

Product Manager, Claude.aiOpen View](https://anthropic.com/careers)

San Francisco, CASenior$210K–$295KProduct

SQLAmplitudeFigmaREST APIs

ENGINEERING (1)

Legal AI EngineerOpen View](https://harvey.ai/careers)

San Francisco, CASenior$200K–$290KEngineering

PythonLLMsRAGTypeScript+1 more

SALES (1)

Enterprise Account Executive, AmLaw 100Open View](https://harvey.ai/careers)

San Francisco, CAIndividual Contributor$120K–$165KSales

SalesforceOutreachHarvey Platform

PRODUCT (1)

Product Manager, Contract AnalysisOpen View](https://harvey.ai/careers)

San Francisco, CASenior$190K–$260KProduct

SQLFigmaLLMsREST APIs

RESEARCH (1)

Research Scientist, Legal NLPOpen View](https://harvey.ai/careers)

San Francisco, CASenior$220K–$320KResearch

PythonPyTorchNLPTransformers+1 more

ENGINEERING (3)

Staff SWE, IDE PlatformOpen View](https://cursor.com/careers)

San Francisco, CAStaff$240K–$340KEngineering

TypeScriptRustVS Code APIsElectron+1 more

ML Engineer, Code CompletionOpen View](https://cursor.com/careers)

San Francisco, CASenior$230K–$330KEngineering

PythonPyTorchTransformersCUDA+1 more

MARKETING (1)

Developer AdvocateOpen View](https://cursor.com/careers)

San Francisco, CAIndividual Contributor$160K–$210KMarketing

TypeScriptPythonGitREST APIs

ENGINEERING (3)

Senior SWE, Agent RuntimeOpen View](https://replit.com/careers)

San Francisco, CASenior$200K–$280KEngineering

TypeScriptPythonNode.jsNix+1 more

ML Engineer, Code GenerationOpen View](https://replit.com/careers)

San Francisco, CASenior$210K–$295KEngineering

PythonPyTorchLLMsRLHF+1 more

Growth EngineerOpen View](https://replit.com/careers)

San Francisco, CASenior$170K–$230KEngineering

ReactPostgreSQLPython+1 more

PRODUCT (1)

Product Manager, AI AgentsOpen View](https://replit.com/careers)

San Francisco, CASenior$185K–$255KProduct

SQLAmplitudeFigmaREST APIs

ENGINEERING (2)

Senior SWE, Edge NetworkOpen View](https://vercel.com/careers)

San Francisco, CASenior$210K–$295KEngineering

TypeScriptRustGoCloudflare Workers+1 more

Staff SWE, ObservabilityOpen View](https://vercel.com/careers)

San Francisco, CAStaff$240K–$325KEngineering

TypeScriptGoClickHouseOpenTelemetry+1 more

PRODUCT (1)

Product Lead, AI SDKOpen View](https://vercel.com/careers)

San Francisco, CADirector$230K–$310KProduct

TypeScriptNext.jsREST APIsLLMs

MARKETING (1)

Developer Relations EngineerOpen View](https://vercel.com/careers)

San Francisco, CASenior$175K–$235KMarketing

TypeScriptNext.jsReactVercel SDK+1 more

SALES (1)

Enterprise Account ExecutiveOpen View](https://vercel.com/careers)

San Francisco, CAIndividual Contributor$120K–$160KSales

SalesforceOutreachNext.js

Research Scientist, AlignmentOpen View](https://openai.com/careers)

San Francisco, CASenior$295K–$440KResearch

PythonPyTorchRLHFJAX+1 more

Technologies Required

PythonPyTorchRLHFJAXTransformers

First seen: 2026-02-10Last seen: 2026-03-12

Staff SWE, API PlatformOpen View](https://openai.com/careers)

San Francisco, CAStaff$275K–$385KEngineering

PythonGoKubernetesPostgreSQL+1 more

Technologies Required

PythonGoKubernetesPostgreSQLRedis

First seen: 2026-02-18Last seen: 2026-03-12

Enterprise Account ExecutiveOpen View](https://openai.com/careers)

San Francisco, CAIndividual Contributor$130K–$180KSales

SalesforceOutreachChatGPT Enterprise

Technologies Required

SalesforceOutreachChatGPT Enterprise

First seen: 2026-02-25Last seen: 2026-03-12

ML Engineer, Post-TrainingOpen View](https://openai.com/careers)

San Francisco, CASenior$280K–$400KEngineering

PythonPyTorchCUDATriton+1 more

Technologies Required

PythonPyTorchCUDATritonRLHF

First seen: 2026-03-01Last seen: 2026-03-12

Product Manager, ChatGPTOpen View](https://openai.com/careers)

San Francisco, CASenior$220K–$310KProduct

SQLAmplitudePythonREST APIs

Technologies Required

SQLAmplitudePythonREST APIs

First seen: 2026-02-14Last seen: 2026-03-11

Safety Engineer, Red TeamOpen View](https://openai.com/careers)

San Francisco, CASenior$260K–$370KSafety

PythonLLMsAdversarial MLTransformers

Technologies Required

PythonLLMsAdversarial MLTransformers

First seen: 2026-01-28Last seen: 2026-03-09

Research Engineer, Constitutional AIOpen View](https://anthropic.com/careers)

San Francisco, CASenior$280K–$420KResearch

PythonJAXPyTorchRLHF+1 more

Technologies Required

PythonJAXPyTorchRLHFTransformers

First seen: 2026-02-08Last seen: 2026-03-12

SWE, Claude API InfrastructureOpen View](https://anthropic.com/careers)

San Francisco, CASenior$255K–$370KEngineering

PythonRustAWSKubernetes+1 more

Technologies Required

PythonRustAWSKubernetesgRPC

First seen: 2026-02-20Last seen: 2026-03-12

Enterprise Solutions EngineerOpen View](https://anthropic.com/careers)

San Francisco, CAIndividual Contributor$155K–$215KSales

Claude APIPythonREST APIsSalesforce

Technologies Required

Claude APIPythonREST APIsSalesforce

First seen: 2026-03-02Last seen: 2026-03-12

Policy Researcher, AI GovernanceOpen View](https://anthropic.com/careers)

San Francisco, CASenior$200K–$290KPolicy

PythonRPolicy Analysis

Technologies Required

PythonRPolicy Analysis

First seen: 2026-01-30Last seen: 2026-03-10

Product Manager, Claude.aiOpen View](https://anthropic.com/careers)

San Francisco, CASenior$210K–$295KProduct

SQLAmplitudeFigmaREST APIs

Technologies Required

SQLAmplitudeFigmaREST APIs

First seen: 2026-02-28Last seen: 2026-03-12

Legal AI EngineerOpen View](https://harvey.ai/careers)

San Francisco, CASenior$200K–$290KEngineering

PythonLLMsRAGTypeScript+1 more

Technologies Required

PythonLLMsRAGTypeScriptPostgreSQL

First seen: 2026-02-14Last seen: 2026-03-12

Enterprise Account Executive, AmLaw 100Open View](https://harvey.ai/careers)

San Francisco, CAIndividual Contributor$120K–$165KSales

SalesforceOutreachHarvey Platform

Technologies Required

SalesforceOutreachHarvey Platform

First seen: 2026-03-01Last seen: 2026-03-12

Product Manager, Contract AnalysisOpen View](https://harvey.ai/careers)

San Francisco, CASenior$190K–$260KProduct

SQLFigmaLLMsREST APIs

Technologies Required

SQLFigmaLLMsREST APIs

First seen: 2026-02-22Last seen: 2026-03-11

Research Scientist, Legal NLPOpen View](https://harvey.ai/careers)

San Francisco, CASenior$220K–$320KResearch

PythonPyTorchNLPTransformers+1 more

Technologies Required

PythonPyTorchNLPTransformersFAISS

First seen: 2026-01-20Last seen: 2026-03-11

Staff SWE, IDE PlatformOpen View](https://cursor.com/careers)

San Francisco, CAStaff$240K–$340KEngineering

TypeScriptRustVS Code APIsElectron+1 more

Technologies Required

TypeScriptRustVS Code APIsElectronLLMs

First seen: 2026-02-12Last seen: 2026-03-12

ML Engineer, Code CompletionOpen View](https://cursor.com/careers)

San Francisco, CASenior$230K–$330KEngineering

PythonPyTorchTransformersCUDA+1 more

Technologies Required

PythonPyTorchTransformersCUDATree-sitter

First seen: 2026-03-03Last seen: 2026-03-12

Developer AdvocateOpen View](https://cursor.com/careers)

San Francisco, CAIndividual Contributor$160K–$210KMarketing

TypeScriptPythonGitREST APIs

Technologies Required

TypeScriptPythonGitREST APIs

First seen: 2026-02-17Last seen: 2026-03-09

Senior SWE, Agent RuntimeOpen View](https://replit.com/careers)

San Francisco, CASenior$200K–$280KEngineering

TypeScriptPythonNode.jsNix+1 more

Technologies Required

TypeScriptPythonNode.jsNixKubernetes

First seen: 2026-02-08Last seen: 2026-03-12

ML Engineer, Code GenerationOpen View](https://replit.com/careers)

San Francisco, CASenior$210K–$295KEngineering

PythonPyTorchLLMsRLHF+1 more

Technologies Required

PythonPyTorchLLMsRLHFCodeBERT

First seen: 2026-02-24Last seen: 2026-03-12

Growth EngineerOpen View](https://replit.com/careers)

San Francisco, CAIndividual Contributor$170K–$230KEngineering

TypeScriptReactPostgreSQLPython+1 more

Technologies Required

TypeScriptReactPostgreSQLPythonAmplitude

First seen: 2026-03-01Last seen: 2026-03-12

Product Manager, AI AgentsOpen View](https://replit.com/careers)

San Francisco, CASenior$185K–$255KProduct

SQLAmplitudeFigmaREST APIs

Technologies Required

SQLAmplitudeFigmaREST APIs

First seen: 2026-01-15Last seen: 2026-03-10

Senior SWE, Edge NetworkOpen View](https://vercel.com/careers)

San Francisco, CASenior$210K–$295KEngineering

TypeScriptRustGoCloudflare Workers+1 more

Technologies Required

TypeScriptRustGoCloudflare WorkersV8

First seen: 2026-02-18Last seen: 2026-03-12

Product Lead, AI SDKOpen View](https://vercel.com/careers)

San Francisco, CADirector$230K–$310KProduct

TypeScriptNext.jsREST APIsLLMs

Technologies Required

TypeScriptNext.jsREST APIsLLMs

First seen: 2026-03-03Last seen: 2026-03-12

Developer Relations EngineerOpen View](https://vercel.com/careers)

San Francisco, CASenior$175K–$235KMarketing

TypeScriptNext.jsReactVercel SDK+1 more

Technologies Required

TypeScriptNext.jsReactVercel SDKGit

First seen: 2026-02-22Last seen: 2026-03-11

Enterprise Account ExecutiveOpen View](https://vercel.com/careers)

San Francisco, CAIndividual Contributor$120K–$160KSales

SalesforceOutreachNext.js

Technologies Required

SalesforceOutreachNext.js

First seen: 2026-02-28Last seen: 2026-03-12

Staff SWE, ObservabilityOpen View](https://vercel.com/careers)

San Francisco, CAStaff$240K–$325KEngineering

TypeScriptGoClickHouseOpenTelemetry+1 more

Technologies Required

TypeScriptGoClickHouseOpenTelemetryKafka

First seen: 2026-01-30Last seen: 2026-03-10

Cloud Migration

Weekly signals2.4M

Surging accounts18,400

Avg Surge Duration3.2 weeks

Kubernetes

Weekly signals1.1M

Surging accounts9,200

Avg Surge Duration2.8 weeks

AWS

Weekly signals3.2M

Surging accounts24,100

Avg Surge Duration4.1 weeks

Azure

Weekly signals2.8M

Surging accounts21,300

Avg Surge Duration3.9 weeks

Serverless

Weekly signals820K

Surging accounts6,700

Avg Surge Duration2.1 weeks

Edge Computing

Weekly signals540K

Surging accounts4,400

Avg Surge Duration2.5 weeks

Zero Trust

Weekly signals1.8M

Surging accounts12,100

Avg Surge Duration4.1 weeks

SIEM

Weekly signals960K

Surging accounts7,800

Avg Surge Duration3.5 weeks

Endpoint Security

Weekly signals1.4M

Surging accounts11,200

Avg Surge Duration3.8 weeks

Identity Management

Weekly signals1.2M

Surging accounts9,900

Avg Surge Duration3.3 weeks

Ransomware Defense

Weekly signals870K

Surging accounts7,100

Avg Surge Duration2.9 weeks

Business Intelligence

Weekly signals2.1M

Surging accounts16,800

Avg Surge Duration4.5 weeks

Data Warehouse

Weekly signals1.7M

Surging accounts13,600

Avg Surge Duration3.7 weeks

ML Platforms

Weekly signals1.5M

Surging accounts12,000

Avg Surge Duration4.2 weeks

Data Governance

Weekly signals890K

Surging accounts7,200

Avg Surge Duration3.1 weeks

CRM Implementation

Weekly signals1.3M

Surging accounts10,400

Avg Surge Duration5.2 weeks

Sales Enablement

Weekly signals1.1M

Surging accounts8,900

Avg Surge Duration3.6 weeks

Revenue Intelligence

Weekly signals940K

Surging accounts7,500

Avg Surge Duration4.0 weeks

CPQ

Weekly signals620K

Surging accounts5,000

Avg Surge Duration4.8 weeks

HRIS

Weekly signals980K

Surging accounts7,900

Avg Surge Duration3.4 weeks

Recruiting Software

Weekly signals1.4M

Surging accounts11,200

Avg Surge Duration3.2 weeks

Employee Experience

Weekly signals760K

Surging accounts6,100

Avg Surge Duration2.8 weeks

Learning Management

Weekly signals580K

Surging accounts4,700

Avg Surge Duration3.0 weeks

ERP

Weekly signals1.6M

Surging accounts12,800

Avg Surge Duration6.1 weeks

Accounts Payable

Weekly signals720K

Surging accounts5,800

Avg Surge Duration3.5 weeks

Spend Management

Weekly signals840K

Surging accounts6,700

Avg Surge Duration3.8 weeks

Payments Infrastructure

Weekly signals1.0M

Surging accounts8,100

Avg Surge Duration4.3 weeks

Artificial Intelligence

Weekly signals12.4M

Surging accounts94,200

Avg Surge Duration6.1 weeks

Machine Learning

Weekly signals5.8M

Surging accounts42,600

Avg Surge Duration5.4 weeks

Internet of Things (IoT)

Weekly signals3.2M

Surging accounts28,900

Avg Surge Duration4.8 weeks

Chatbot & Live Chat Software

Weekly signals2.1M

Surging accounts17,300

Avg Surge Duration3.9 weeks

CRM Layer

Account

×

CRM accounts — companies as customers or prospects in your pipeline.

Primary Key

entityId

Key Fields

accountName``domain``segment``annualRevenue``zoominfoCompanyId``ownerEntityId

Connections (6)

→ContactallContacts→OpportunityaccountEntityId→MeetingaccountEntityId→EmailaccountEntityId→ZiCompanyzoominfoCompanyId→Factaccount.entityId

Example Query

{
  accounts(first: 1, where: { accountName: { _eq: "Acme Corp" } }) {
    edges {
      node {
        entityId
        accountName
        domain
        segment
        annualRevenue
        zoominfoCompanyId
        allContacts(first: 5) {
          edges {
            role
            node { firstName lastName jobTitle email }
          }
        }
        opportunities(first: 3) {
          edges {
            node { opportunityName stage amount closeDate }
          }
        }
      }
    }
  }
}

CRM Layer

Contact

×

CRM contacts — individual people at accounts with engagement history.

Primary Key

entityId

Key Fields

firstName``lastName``email``jobTitle``engagementScore``zoominfoContactId``ownerEntityId

Connections (4)

→ZiContactzoominfoContactId←AccountallContacts←MeetingcontactEngagementRoles←UserownerEntityId

Example Query

{
  contacts(first: 1, where: { email: { _eq: "jane@acme.com" } }) {
    edges {
      node {
        entityId
        firstName lastName email
        jobTitle department engagementScore
        contactInsight {
          contactRole contactBuyerFit
          isLikelyToEngage engagementSummary
        }
        zoominfoContact {
          entityId
          globalAccountAi { about employmentHistory }
        }
      }
    }
  }
}

CRM Layer

Opportunity

×

Open and closed deals with pipeline stage, ARR, and linked contacts.

Primary Key

entityId

Key Fields

opportunityName``stage``amount``closeDate``isWon``accountEntityId

Connections (4)

→Factopportunity.entityId←AccountaccountEntityId←MeetingopportunityEntityId←UserownerEntityId

Example Query

{
  opportunities(first: 5, where: { isClosed: { _eq: false } }, orderBy: { amount: DESC }) {
    edges {
      node {
        entityId
        opportunityName stage amount closeDate
        account { accountName domain }
        allContacts(first: 3) {
          edges {
            role
            node { firstName lastName jobTitle }
          }
        }
        facts(first: 2) {
          edges {
            node { factType summary certainty }
          }
        }
      }
    }
  }
}

CRM Layer

Meeting

×

Calendar meetings with attendees, outcomes, and linked opportunities.

Primary Key

entityId

Key Fields

subject``meetingType``startDateTime``duration``accountEntityId``organizerEntityId

Connections (4)

→ContactcontactEngagementRoles→OpportunityopportunityEntityId←AccountaccountEntityId←UserorganizerEntityId

Example Query

{
  meetings(first: 3, orderBy: { scheduledStartAt: DESC }) {
    edges {
      node {
        entityId subject scheduledStartAt status
        meetingInsight {
          summary shortSummary
          nextSteps sentiment momentum
          blockersAndRisks themesDiscussed
        }
        account { accountName }
        opportunity { opportunityName stage }
      }
    }
  }
}

CRM Layer

Email

×

Sent and received emails with sentiment and engagement signals.

Primary Key

entityId

Key Fields

subject``sentAt``senderEntityId``accountEntityId``sentiment``openCount

Connections (2)

←AccountaccountEntityId←UsersenderEntityId

Example Query

{
  emails(first: 5, where: { isOutbound: { _eq: true } }, orderBy: { sentAt: DESC }) {
    edges {
      node {
        entityId subject sentAt
        isOutbound openCount clickCount
        account { accountName }
        user { firstName lastName }
        contact { firstName lastName email }
      }
    }
  }
}

CRM Layer

User

×

CRM users — reps, managers, and admins with territory assignments.

Primary Key

entityId

Key Fields

fullName``email``role``team``territory``zoominfoContactId

Connections (5)

→ContactownerEntityId→EmailsenderEntityId→MeetingorganizerEntityId→OpportunityownerEntityId→ZiContactzoominfoContactId

Example Query

{
  users(first: 10, where: { isActive: { _eq: true } }) {
    edges {
      node {
        entityId firstName lastName email title
        allAssignedAccounts(first: 3) {
          edges {
            node { accountName segment annualRevenue }
          }
        }
        directReports(first: 5) {
          edges {
            node { firstName lastName title }
          }
        }
      }
    }
  }
}

ZI Layer

ZiCompany

×

ZoomInfo company profile — the master firmographic record for any organisation.

Primary Key

id

Key Fields

name``domain``industry``employeeCount``revenue``hqCity``hqCountry``techStack

Connections (9)

→SignalentityId→JobPostziCompanyId→EarningsCallentityId→FinancialFilingentityId→Form5500FilingeinNumber→LoanStatementcreditorZiCompanyId→ProductReviewentityId←AccountzoominfoCompanyId←ZiContactcompanyId

Example Query

{
  accounts(first: 1, where: { accountName: { _eq: "Salesforce" } }) {
    edges {
      node {
        zoominfoCompanyId
        zoominfoCompany {
          entityId brief
          globalAccountAi {
            companyOverview industry
            productsAndServices competition
            recentHeadlines cSuiteMembers
          }
          signals(first: 5) {
            edges {
              node {
                type { category subcategory }
                description sourceTime priority
              }
            }
          }
          jobPosts(first: 3, orderBy: { firstSeen: DESC }) {
            edges {
              node { jobTitle departments firstSeen salary_min salary_max }
            }
          }
        }
      }
    }
  }
}

ZI Layer

ZiContact

×

ZoomInfo contact profile — professional identity with validated contact data.

Primary Key

id

Key Fields

firstName``lastName``jobTitle``companyId``email``mobile``linkedinUrl

Connections (7)

→ZiCompanycompanyId→SignalpersonId→Form5500FilingparticipantId→ProductReviewentityId←ContactzoominfoContactId←UserzoominfoContactId←SignalpersonId

Example Query

{
  contacts(first: 1, where: { email: { _eq: "ceo@acme.com" } }) {
    edges {
      node {
        zoominfoContactId
        zoominfoContact {
          entityId brief
          globalAccountAi {
            about context employmentHistory
            education interestsAndNotableAchievements
          }
          employmentChanges(first: 3) {
            edges {
              node {
                changeType changeDate
                previousTitle currentCompanyId
              }
            }
          }
        }
      }
    }
  }
}

Signal Layer

Signal

×

Intent and behavioural signals — topic spikes, web activity, and job change triggers.

Primary Key

id

Key Fields

signalType``topic``entityId``personId``score``date``sourceUrl

Connections (8)

→ZiContactpersonId→JobPostentityId→EarningsCallentityId→FinancialFilingentityId→Form5500FilingentityId→LoanStatemententityId←ZiCompanyentityId←ZiContactpersonId

Example Query

{
  signals(
    first: 5,
    orderBy: { sourceTime: DESC },
    where: { type: { category: { _eq: "Employment Change" } } }
  ) {
    edges {
      node {
        entityId description sourceTime priority
        type { category subcategory tags }
        employmentChanges {
          changeType changeDate previousTitle
          currentCompanyId previousCompanyId personId
        }
        primaryPerson { entityId brief }
        primaryCompany { entityId brief }
      }
    }
  }
}

AI Layer

Fact

×

AI-generated qualification facts — pain points, budget signals, MEDDIC.

Primary Key

id

Key Fields

factType``value``confidence``accountEntityId``opportunityEntityId``createdAt

Connections (2)

←Accountaccount.entityId←Opportunityopportunity.entityId

Example Query

{
  facts(
    first: 5,
    where: { factType: { _eq: "PainPoint" } },
    orderBy: { certainty: DESC }
  ) {
    edges {
      node {
        entityId factType summary explanation
        certainty corroborationCount conflictCount
        account { accountName domain }
        opportunity { opportunityName stage }
      }
    }
  }
}

Market Layer

JobPost

×

9M+ job postings/month — hiring signals revealing tech stack and strategic priorities.

Primary Key

id

Key Fields

title``department``location``postedAt``ziCompanyId``skills``seniorityLevel

Connections (2)

←ZiCompanyziCompanyId←SignalentityId

Example Query

{
  ziCompanies(where: { entityId: { _eq: "123456789" } }) {
    edges {
      node {
        entityId
        jobPosts(
          first: 5,
          orderBy: { firstSeen: DESC },
          where: { jobPostClosed: { _eq: false }, isDeleted: { _eq: false } }
        ) {
          edges {
            node {
              jobTitle normalizedJobTitle
              departments jobFunctions managementLevel
              firstSeen lastSeen salary_min salary_max
              technologies normalizedAddress_city
              normalizedAddress_state jobUrl
            }
          }
        }
      }
    }
  }
}

Market Layer

LoanStatement

×

SBA and commercial loan records — financing signals for SMB prospecting.

Primary Key

id

Key Fields

loanAmount``loanDate``lenderName``creditorZiCompanyId``programType``term

Connections (2)

←ZiCompanycreditorZiCompanyId←SignalentityId

Example Query

{
  loanStatements(
    first: 3,
    orderBy: { filingDate: DESC },
    where: {
      creditorZiCompanyId: { _eq: "123456789" },
      isDeleted: { _eq: false }
    }
  ) {
    edges {
      node {
        entityId filingNumber filingDate
        filingState actionCode creditorType
        debtorCompanyName debtorCompanyDomain
        uccCollateralCodes uccFilingChainNumber
        releaseDate
      }
    }
  }
}

Market Layer

FinancialFiling

×

SEC and regulatory financial filings — revenue, headcount, and risk disclosures.

Primary Key

id

Key Fields

filingType``filedAt``entityId``revenue``netIncome``employeeCount``period

Connections (2)

←ZiCompanyentityId←SignalentityId

Example Query

{
  accounts(first: 1, where: { accountName: { _eq: "Microsoft" } }) {
    edges {
      node {
        zoominfoCompany {
          financialFilings(first: 3, orderBy: { filingDate: DESC }) {
            edges {
              node {
                entityId filingType filingDate
                periodOfReport companyName
              }
            }
          }
        }
      }
    }
  }
}

Market Layer

EarningsCall

×

Earnings call transcripts with AI-extracted topics, sentiment, and forward guidance.

Primary Key

id

Key Fields

entityId``callDate``quarter``year``topics``sentiment``keyQuotes

Connections (2)

←ZiCompanyentityId←SignalentityId

Example Query

{
  accounts(first: 1, where: { accountName: { _eq: "Salesforce" } }) {
    edges {
      node {
        zoominfoCompany {
          earningsCalls(first: 2, orderBy: { callDate: DESC }) {
            edges {
              node {
                entityId callDate companyName
                fiscalPeriod transcript
              }
            }
          }
        }
      }
    }
  }
}

Market Layer

ProductReview

×

G2, Capterra, and TrustRadius reviews — tech stack signals and competitive displacement.

Primary Key

id

Key Fields

platform``rating``reviewDate``entityId``reviewerTitle``pros``cons

Connections (2)

←ZiCompanyentityId←ZiContactentityId

Example Query

{
  accounts(first: 1, where: { accountName: { _eq: "HubSpot" } }) {
    edges {
      node {
        zoominfoCompany {
          productReviewsReceived(first: 5, orderBy: { reviewDate: DESC }) {
            edges {
              node {
                entityId reviewTitle rating
                reviewDate reviewerTitle
              }
            }
          }
        }
      }
    }
  }
}

Market Layer

Form5500Filing

×

DOL Form 5500 pension & benefits filings — employee benefits intelligence.

Primary Key

id

Key Fields

einNumber``planYear``planName``totalAssets``participantCount``ziCompanyId``participantId

Connections (3)

←ZiCompanyeinNumber←ZiContactparticipantId←SignalentityId

Example Query

{
  form5500Filings(
    first: 3,
    where: { sponsorName: { _ilike: "%acme%" } },
    orderBy: { planYear: DESC }
  ) {
    edges {
      node {
        entityId planName planYear
        totalParticipants totalAssets
        sponsorName
      }
    }
  }
}

</>

Click any entity node in the graph to explore its schema, connected datasets, and an example query.

CRM layerZI intelligenceMarket dataAccountContactOpportunityMeetingEmailUserZiCompanyZiContactSignalFactJobPostLoanStatementFinancialFilingEarningsCallProductReviewForm5500FilingCRM layerZI intelligenceMarket datazoominfoCompanyIdallContactsaccountEntityIdaccountEntityIdaccountEntityIdaccount.entityIdAccountContactOpportunityMeetingEmailUserZiCompanyZiContactSignalFactJobPostLoanStatementFinancialFilingEarningsCallProductReviewForm5500FilingCRM layerZI intelligenceMarket datazoominfoContactIdallContactscontactEngagementRolesownerEntityIdAccountContactOpportunityMeetingEmailUserZiCompanyZiContactSignalFactJobPostLoanStatementFinancialFilingEarningsCallProductReviewForm5500FilingCRM layerZI intelligenceMarket dataaccountEntityIdopportunityEntityIdownerEntityIdopportunity.entityIdAccountContactOpportunityMeetingEmailUserZiCompanyZiContactSignalFactJobPostLoanStatementFinancialFilingEarningsCallProductReviewForm5500FilingCRM layerZI intelligenceMarket dataaccountEntityIdopportunityEntityIdcontactEngagementRolesorganizerEntityIdAccountContactOpportunityMeetingEmailUserZiCompanyZiContactSignalFactJobPostLoanStatementFinancialFilingEarningsCallProductReviewForm5500FilingCRM layerZI intelligenceMarket dataaccountEntityIdsenderEntityIdAccountContactOpportunityMeetingEmailUserZiCompanyZiContactSignalFactJobPostLoanStatementFinancialFilingEarningsCallProductReviewForm5500FilingCRM layerZI intelligenceMarket dataownerEntityIdzoominfoContactIdsenderEntityIdorganizerEntityIdownerEntityIdAccountContactOpportunityMeetingEmailUserZiCompanyZiContactSignalFactJobPostLoanStatementFinancialFilingEarningsCallProductReviewForm5500FilingCRM layerZI intelligenceMarket datazoominfoCompanyIdentityIdziCompanyIdcreditorZiCompanyIdentityIdentityIdentityIdeinNumbercompanyIdAccountContactOpportunityMeetingEmailUserZiCompanyZiContactSignalFactJobPostLoanStatementFinancialFilingEarningsCallProductReviewForm5500FilingCRM layerZI intelligenceMarket datazoominfoContactIdzoominfoContactIdcompanyIdpersonIdentityIdparticipantIdpersonIdAccountContactOpportunityMeetingEmailUserZiCompanyZiContactSignalFactJobPostLoanStatementFinancialFilingEarningsCallProductReviewForm5500FilingCRM layerZI intelligenceMarket dataentityIdpersonIdpersonIdentityIdentityIdentityIdentityIdentityIdAccountContactOpportunityMeetingEmailUserZiCompanyZiContactSignalFactJobPostLoanStatementFinancialFilingEarningsCallProductReviewForm5500FilingCRM layerZI intelligenceMarket dataaccount.entityIdopportunity.entityIdAccountContactOpportunityMeetingEmailUserZiCompanyZiContactSignalFactJobPostLoanStatementFinancialFilingEarningsCallProductReviewForm5500FilingCRM layerZI intelligenceMarket dataziCompanyIdentityIdAccountContactOpportunityMeetingEmailUserZiCompanyZiContactSignalFactJobPostLoanStatementFinancialFilingEarningsCallProductReviewForm5500FilingCRM layerZI intelligenceMarket datacreditorZiCompanyIdentityIdAccountContactOpportunityMeetingEmailUserZiCompanyZiContactSignalFactJobPostLoanStatementFinancialFilingEarningsCallProductReviewForm5500FilingCRM layerZI intelligenceMarket dataentityIdentityIdAccountContactOpportunityMeetingEmailUserZiCompanyZiContactSignalFactJobPostLoanStatementFinancialFilingEarningsCallProductReviewForm5500FilingCRM layerZI intelligenceMarket dataentityIdentityIdAccountContactOpportunityMeetingEmailUserZiCompanyZiContactSignalFactJobPostLoanStatementFinancialFilingEarningsCallProductReviewForm5500FilingCRM layerZI intelligenceMarket dataentityIdentityIdAccountContactOpportunityMeetingEmailUserZiCompanyZiContactSignalFactJobPostLoanStatementFinancialFilingEarningsCallProductReviewForm5500FilingCRM layerZI intelligenceMarket dataeinNumberparticipantIdentityIdAccountContactOpportunityMeetingEmailUserZiCompanyZiContactSignalFactJobPostLoanStatementFinancialFilingEarningsCallProductReviewForm5500Filing

ENGINEERING (3)

Senior Data EngineerOpen View](https://www.zoominfo.com/careers)

Vancouver, WAIndividual Contributor$145K–$185KEngineering

PythonSparkKafkaSnowflake+3 more

ML Platform EngineerOpen View](https://www.zoominfo.com/careers)

Boston, MAIndividual Contributor$155K–$195KEngineering

PythonPyTorchKubernetesMLflow+3 more

Data Platform ArchitectClosed View](https://www.zoominfo.com/careers)

Waltham, MASenior Individual Contributor$175K–$210KEngineering

SnowflakedbtTerraformAWS+3 more

ENGINEERING (3)

Senior Data EngineerOpen View](https://www.zoominfo.com/careers)

Vancouver, WAIndividual Contributor$145K–$185KEngineering

PythonSparkKafkaSnowflake+3 more

ML Platform EngineerOpen View](https://www.zoominfo.com/careers)

Boston, MAIndividual Contributor$155K–$195KEngineering

PythonPyTorchKubernetesMLflow+3 more

Data Platform ArchitectClosed View](https://www.zoominfo.com/careers)

Waltham, MASenior Individual Contributor$175K–$210KEngineering

SnowflakedbtTerraformAWS+3 more

ENGINEERING (3)

Senior Data EngineerOpen View](https://www.zoominfo.com/careers)

Vancouver, WAIndividual Contributor$145K–$185KEngineering

PythonSparkKafkaSnowflake+3 more

ML Platform EngineerOpen View](https://www.zoominfo.com/careers)

Boston, MAIndividual Contributor$155K–$195KEngineering

PythonPyTorchKubernetesMLflow+3 more

Data Platform ArchitectClosed View](https://www.zoominfo.com/careers)

Waltham, MASenior Individual Contributor$175K–$210KEngineering

SnowflakedbtTerraformAWS+3 more

PRODUCT (1)

VP of Product ManagementOpen View](https://www.zoominfo.com/careers)

RemoteVP / Director$200K–$240KProduct

JiraFigmaSalesforceAmplitude+1 more

SALES (1)

Enterprise Account ExecutiveOpen View](https://www.zoominfo.com/careers)

New York, NYIndividual Contributor$120K–$160KSales

SalesforceOutreachZoomInfoGong+1 more

CUSTOMER SUCCESS (1)

Customer Success ManagerOpen View](https://www.zoominfo.com/careers)

RemoteIndividual Contributor$85K–$110KCustomer Success

SalesforceGainsightZoomInfoTableau+1 more

DESIGN (1)

Product DesignerOpen View](https://www.zoominfo.com/careers)

Seattle, WAIndividual Contributor$120K–$150KDesign

FigmaStorybookReactAmplitude+1 more