MARKET RESEARCH

New Role-Title First-Appearance Tracker

Watches competitor job feeds for role titles that have never appeared before (e.g. first 'Head of AI' or 'GTM for Healthcare'), enriches the hiring company in Attio.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule triggers the run
  • ActionApify pulls latest listings per competitorApify
  • LogicKeep only titles never seen for that companySnowflakeSnowflake
  • ActionOpenAI classifies each debut title into a strategy themeOpenAI
  • ActionUpdate competitor record in Attio with the signalAttio
  • OutputSlack digest of debut roles and inferred meaningSlack

What it does

Most hiring is noise; the signal is the first time a competitor posts a role they've never posted before. A debut title like 'Director of Partnerships' or 'Enterprise SE - FinServ' reveals an intended new motion long before it shows up in revenue. This workflow maintains a per-company title vocabulary and surfaces only genuinely new titles.

When to use it

Use it when you want qualitative directional intel (what new bets a competitor is making) rather than raw volume, and you manage competitor accounts in Attio.

How it works

  1. 1A daily schedule triggers the run.
  2. 2Apify pulls the latest job listings for each tracked competitor.
  3. 3Each title is checked against that company's known-title history in Snowflake; only first-ever appearances pass.
  4. 4OpenAI classifies each new title into a strategy theme (new vertical, new geo, new product, exec hire).
  5. 5The competitor record in Attio is updated with the new signal and theme.
  6. 6A digest of debut roles and their inferred meaning is delivered to Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect SnowflakeWarehouses, queries, shares.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect AttioReal-time CRM with structured data + powerful views.
  5. 5
    Connect SlackChannels, DMs, threads, mentions.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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