Workforce Intelligence

Job Change Signals

Detect when contacts start new roles, get promoted, or found new companies. Track the complete career transition with previous company, new title, tenure data, and promotion detection across 4M+ contacts.

Workforce Intelligence illustration
4M+

Contacts Covered

New Role, Promotion, Founded

Detection Types

Weekly

Refresh Cadence

Days after change

Avg Detection Time

Workforce Intelligence1 subtypes · Weekly refresh

What Are Job Change Signals?

Job changes are one of the highest-intent signals in B2B sales. When a contact moves to a new company, they bring their technology preferences, vendor relationships, and buying authority to a new organization. A VP of Sales who used your CRM at their previous company is likely to evaluate it at their new company within their first 90 days.

Autobound tracks job changes for 4M+ contacts with weekly refresh cadence. Each job change signal includes the contact's new role and company, their previous role and company, calculated tenure at the prior organization, and whether the change represents a promotion (e.g., Director to VP), a lateral move, or a career pivot.

Our job change detection goes beyond simple title monitoring. We identify the difference between a title change within the same company (internal promotion) and an actual company change (new employer). We also detect when contacts found new companies, which creates a different set of selling opportunities than a traditional job change.

The timing window for job change outreach is critical. Research shows that new executives make 70% of their vendor evaluation decisions within their first 100 days. Job change signals that arrive days after the transition, rather than weeks later, provide a meaningful competitive advantage for sellers who act quickly.

Example Signal Subtypes

jobChange

Data Schema

Job Change Signal Schema

Job change signals include complete transition context: new and previous job titles with descriptions, current and previous company details, job locations, event timing, and founded-new-company detection.

{
  "signal_id": "b1e8f46f-1b64-42ca-aba8-ff67b925e043",
  "batch_id": "2026-05-01-00-00-00",
  "signal_type": "workMilestone",
  "signal_subtype": "jobChange",
  "detected_at": "2026-01-28T13: 22: 44.029Z",
  "association": "contact",
  "contact": {
    "name": "Marcus Chen",
    "first_name": "Marcus",
    "last_name": "Chen",
    "email": "marcus.chen@ramp.com",  // match on email
    "job_title": "VP of Sales",
    "linkedin_url": "linkedin.com/in/marcus-chen-ramp",  // or match on LinkedIn URL
  },
  "company": {
    "name": "Ramp",
    "domain": "ramp.com",  // match on domain
    "linkedin_url": "linkedin.com/company/ramp-financial",  // or match on LinkedIn URL
    "industries": ["Fintech", "Financial Services"],
    "employee_count_low": 1000,
    "employee_count_high": 3000,
    "description": "Corporate card and spend management for business..."
  },
  "data": {
    "event_date": "2026-01-15",
    "months_since_event": 2,
    "new_job_title": "VP of Sales",
    "new_job_description": "Leads North American sales organization at Ramp, overseeing 80+ quota-carrying reps, SDR team, and revenue operations across mid-market and enterprise segments.",
    "previous_job_title": "Director of Enterprise Sales",
    "previous_job_description": "Built and led enterprise sales motion at Brex, closing 7-figure deals with Fortune 500 finance teams evaluating corporate card and spend management solutions.",
    "company_name": "Ramp",
    "company_domain": "ramp.com",
    "previous_company_name": "Brex",
    "previous_company_domain": "brex.com",
    "new_job_location": "New York, New York, United States",
    "previous_job_location": "San Francisco, California, United States",
    "founded_new_company": false,
    "work_anniversary_year": null,
    "confidence": 0.95
  }
}
GCS Bucket: gs://autobound-contact-database/Formats: JSONL + ParquetRefresh: Weekly

Use Cases

How Sales Teams Use Job Change Signals

1

Former Customer Reactivation

When a champion who used your product at their previous company moves to a new organization, they are your warmest lead. Job change signals let you reach out within days of their transition.

2

New Executive Outreach

New VPs and C-suite executives reevaluate vendor relationships in their first quarter. Job change signals identify these transition windows before the evaluation period closes.

3

Competitive Account Penetration

When someone leaves a competitor's organization, they may be willing to share insights about their former employer's technology environment, creating intelligence gathering opportunities.

4

Founder Identification

Job change signals detect when contacts found new companies. Founders of funded startups are early-stage buyers who make fast purchasing decisions with minimal procurement overhead.

5

Network-Based Selling

Track job changes across your entire contact network to identify when people you have relationships with move into positions where they can influence or make purchasing decisions.

See It in Action

Real-World Example

1

Signal Detected

Michael Torres, previously Director of Sales Operations at Salesloft, starts as VP of Revenue Operations at Gong.io.

2

Sales Action

Your sales team reaches out within days: 'Congrats on the VP role at Gong, Michael! At Salesloft you used our analytics platform. Happy to set up a quick demo showing what's new since you last saw it.'

3

Result

Deal closed in 45 days because a former champion brought their vendor preference to a new organization with fresh budget.

FAQ

Frequently Asked Questions

What are job change signals?
Job change signals detect when contacts change companies, get promoted, or found new ventures. Autobound tracks 4M+ contacts with weekly refresh cadence, capturing the new role, new company, previous role, previous company, tenure data, promotion detection, and whether the contact founded a new company. These signals create time-sensitive outreach windows.
How does Autobound detect job change signals?
Autobound monitors LinkedIn profile changes for 4M+ contacts on a weekly cadence. When a title or company change is detected, our models classify the change type (new company, internal promotion, or founded company), calculate tenure at the previous organization, and emit a signal within days of the transition. Confidence scoring filters out false positives.
How should I use job change data in my outreach?
Speed is everything with job change outreach. New executives make 70% of vendor decisions in their first 100 days. Reference their specific transition, like 'Congrats on the move from X to Y,' and connect your value prop to the challenges of their new role. For former customers, lead with the relationship: 'We worked together at Company X and would love to show you what has changed.'

How It Works

From Raw Data to Your Stack

Autobound ingests from Job boards, LinkedIn profiles, company filings, extracts structured signals with AI, and delivers them however your infrastructure needs.

1

Autobound Ingests

Raw data from Job boards, LinkedIn profiles, company filings is continuously collected and normalized across millions of sources.

2

AI Extracts & Scores

ML models extract 1 signal subtypes with relevance scoring, confidence levels, and entity resolution.

3

You Receive

Structured JSONL delivered via your preferred method — updated on a weekly cadence.

REST API

REST API

Real-time access with subtype filtering

300 req/min
GCS Push

GCS Push

Automated delivery to your bucket

JSONL + Parquet
Enrich API

Enrich API

On-demand LLM-ranked insights

AI relevance scoring
Flat File

Flat File

Bulk exports for data warehouses

CSV, JSON, Parquet
Hiring signals let us identify companies that are actively investing before they even publish an RFP. We reach decision-makers while the budget is still being allocated.

Platform Partner

Head of Data, Enterprise Sales Platform

Ready to License
Job Change Signals?

Custom pricing based on signal types, delivery frequency, and volume. Full schema documentation and integration guides included.