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Company initiatives are the big strategic moves that signal where a business is heading. Sentrion surfaces these through hiring patterns. So you can act on them before your competitors even know they’re happening.

What are company initiatives?

When a company decides to invest in something new (an AI practice, a new product line, a geographic expansion (the first visible signal is almost always hiring. These strategic actions include:
  • New capability buildouts (a company hiring its first-ever ML engineers is building an AI practice from scratch
  • Leadership changes: new executives bring new strategies, budgets, and vendor evaluations
  • Product launches: teams building something new need infrastructure, tools, and services
  • Strategic pivots: shifts in business model create new needs across the organization
  • Rebrands and repositioning (a company rethinking its identity often rethinks its entire tool stack

Why initiative signals matter

When a company announces a major initiative, it creates a ripple effect. New budgets get allocated, new teams get built, and new vendors get evaluated. For sales teams, these are some of the strongest signals that a company is ready to buy.
Companies going through strategic shifts are significantly more likely to evaluate new tools and partnerships within the following quarter. Catching these signals early gives you a timing advantage.

What to look for in your results

When you review your campaign results, these are the types of job postings that indicate a company is pursuing a new initiative:
  • Senior leadership roles in new functions: a “Head of AI,” “VP of Data Science,” or “Director of Machine Learning” posting suggests the company is building a new practice and investing at the leadership level.
  • Specialized roles that signal new capabilities: postings for ML engineers, data architects, or platform engineers at a company not known for that function indicate a strategic buildout.
  • Expansion-related roles: “Country Manager - EMEA” or “Regional Sales Director - APAC” at a company that only operates domestically signals market expansion.
  • Cross-functional clusters: when you see product managers, engineers, and designers all posted at the same company, it often points to a product launch or major new project.
Rather than reading press releases after the fact, you see the signals as they happen: through the jobs companies post.

Examples

Here are initiative signals you’ll find in your results and how to act on them:
SignalWhat it meansHow to act
”Head of AI” or “VP of Machine Learning” postingCompany is building an AI practice from leadership downReach out with AI infrastructure, tooling, or consulting
”VP of Marketing” at a company with no prior marketing leadershipMajor investment in marketing capabilitiesOffer marketing tools, analytics, or services
”VP of Engineering” or “CTO” postingEngineering strategy is shifting under new leadershipPresent developer tools or platform solutions
”Country Manager” or roles posted in a new regionExpansion into new marketsOffer localization, compliance, or market entry support
Multiple “Data Engineer” or “ML Engineer” postingsBuilding a data or AI platformSell data infrastructure, ETL tools, or analytics

Tutorial: Find companies launching AI initiatives

When companies invest in AI, they hire for it first. Follow these steps to build a campaign that surfaces companies actively building AI capabilities.
1

Create a new campaign

  1. Go to Campaigns in the top navigation
  2. Click + New Campaign
2

Use the AI filter generator

At the bottom of the left sidebar, find “Use AI to generate filters”:
  1. Type: “Find companies launching new AI initiatives”
  2. Click the send button
The AI configures your search automatically.
3

Review the generated filters

The AI populates the sidebar with:
  • AI Signal Scoring: enabled with a relevance threshold of 4
  • Signal Date Range: last 3 months of activity
  • Job Keywords: approximately 60 AI-related keywords (e.g., “machine learning engineer,” “AI product manager,” “LLM,” “neural network,” “NLP,” “computer vision”)
  • Exclude Keywords. 4 exclusion terms to remove irrelevant results
Always review the generated keywords before running your search. The AI may include terms that are too broad or ambiguous, leading to false positives. For example, a keyword like “AI” alone could match unrelated job postings. Remove any that seem too generic and add exclusion terms for common noise.
4

Run the search

  1. Set “New companies to find” to 50 (or your preferred count)
  2. Click Find Companies
The search takes 1-5 minutes. A status bar shows progress.
5

Review the Companies tab

Results show companies actively investing in AI, ranked by signal strength:
  • Score: how strongly their hiring signals indicate AI initiative investment
  • Match Reason: why Sentrion flagged this company (e.g., “Hiring for AI/ML roles,” “Building new AI capabilities”)
  • Keywords Matched: specific AI-related terms from their job postings
Click any company to see the full detail panel with match insights and the actual job postings.
6

Check the Signals tab

The Signals tab shows individual job postings that triggered each match (the raw evidence. You’ll see AI/ML job titles, departments, locations, and quoted text from job descriptions.
7

Find decision-makers

Switch to the People tab and use Find People to discover AI leaders at these companies: CTOs, VP of Engineering, Head of AI/ML, and data science directors.
SettingValue
AI Prompt”Find companies launching new AI initiatives”
AI Signal ScoringEnabled (threshold: 4)
Job Keywords~60 AI-related keywords
Signal Date RangeLast 3 months

Pro tips

  1. Refine after initial results: use patterns in the results to adjust filters for a more targeted second search
  2. Enable Automation: toggle Auto-Update ON to get notified when new companies match your filters
  3. Combine with ICP filters: add Company Size, Industry, and HQ Location to narrow results to your ideal customers
  4. Export results: download company and signal data as CSV for your outreach workflow

Other prompts to try

  • “Companies building their first data team”
  • “Startups hiring their first marketing leaders”

What to do next