jobwatch

Watch the job boards of the companies you care about and get a short, ranked digest of new roles that match you, optionally fit-scored against your resume. jobwatch finds and ranks. It never applies for you.

$ jobwatch run
Checked 48 board(s): 9,412 open roles, 37 new.

# jobwatch digest

6 matching job(s). Filtered out: 22 by location, 4 by pay, 5 by title.

### [Staff AI Engineer](https://jobs.ashbyhq.com/initech/c1)
Initech · Denver, CO, United States; Remote · $230K–$300K · posted today
**Fit 81/100**, must-haves 6/7. Gaps: 3+ years with Kubernetes in production
Keywords: Python, RAG, agents
`ashby:initech:c1`
...

Why company boards

Most tech companies post jobs through Greenhouse, Lever, Ashby or Workable, and most large employers through Workday (some through Eightfold). Each publishes open roles as public JSON so anyone can build a careers page, with no API key or scraping. jobwatch reads those feeds for the companies on your watchlist:

• Complete and fresh: a role appears as soon as the company posts it, not when an aggregator picks it up.
• Pay ranges: read from the board's structured fields where they exist (Lever, Ashby), otherwise from the posting text.
• Polite: one request per company per run on Greenhouse, Lever, Ashby and Workable. A Workday or Eightfold board can list thousands of roles, most of them nothing like yours, so jobwatch searches it for your filters.titles words and reads a posting in full only when its title passes your title filters, once: after that, a run costs a few searches per company. Titles written as regexes can't be searched for, so keep a plain word or two ("engineer", "forward deployed") among them.
• Within the rules: it reads public APIs meant for this. It doesn't scrape LinkedIn or Indeed, which forbid it.

Install

pip install jobwatch                 # discovery, filters, digest
pip install 'jobwatch[score]'        # + fit scores with shortlist-ai (Claude API)
pip install 'jobwatch[local]'        # + fit scores on-device (Apple Silicon, MLX)
pip install 'jobwatch[mcp]'          # + MCP server for Claude and other assistants

Quick start

In your browser

pipx install jobwatch      # or: pip install jobwatch
jobwatch ui

A page opens on your computer. Add the companies you want to watch (type a name or paste a link to one of their jobs), say what you're looking for, and press Check for new jobs. From there:

• Today: new matching jobs, with pay, how long ago they were posted, keywords, and who you know there. Queue the ones worth applying to, Skip the rest.
• Queue: your short list. Apply on the company's site, then press I applied.
• Long lists come in pages (12, 24, 48 or 96 at a time, kept per browser).
• Applications: every job you applied to and where it stands (applied, screening, interviewing, offer, rejected, withdrawn), with the next step and a follow-up day. Those due come first. Filter by status with the chips over the list (or click the pipeline bar), and switch between Cards and a sortable Table. Add an application covers jobs you found elsewhere, such as a referral or a recruiter.
• Settings: companies, filters, keywords, your resume (for fit scores), your LinkedIn connections, and the page's theme (system, light or dark) and width (standard, wide or full, for a big monitor).
• Ask jobwatch: a chat on Today (about all of today's jobs and your applications) and beside each job's details (about that posting). See Chat.

The page only talks to jobwatch on your own machine. The one exception is a model you choose: with scoring.backend: claude, fit scores and chat send the posting and your resume to Anthropic. It's the same watchlist file and history as the command line, so you can switch between the two.

To have the page always there, even after a restart, on a Mac:

jobwatch service install      # starts jobwatch ui when you log in, and again if it stops
jobwatch service status       # running? where's the log?
jobwatch service uninstall

A login item doesn't see variables set in your shell profile, so with scoring.backend: claude the page's chat and scores need ANTHROPIC_API_KEY given to launchd (launchctl setenv ANTHROPIC_API_KEY ...), or run jobwatch ui from a terminal instead. The local backend needs nothing.

On the command line

jobwatch init                         # writes an example jobwatch.yaml
jobwatch find "Anthropic" "Scale AI"  # find each company's board
jobwatch find https://jobs.lever.co/spotify/4f1c2a9e-...   # or paste any job link

find prints a line like Anthropic: greenhouse:anthropic (627 open roles). For a Workday company it tries the usual site names; if that finds nothing, paste a job link from their careers site (it has myworkdayjobs.com in it) and find reads the board from it: workday:nvidia.wd5/NVIDIAExternalCareerSite. Add those entries under companies:, adjust the filters, then:

jobwatch run                          # fetch every board, then show the digest

Run it daily, for example from cron: 0 8 * * * jobwatch run -o ~/jobs-today.md.

The watchlist

companies:
  - greenhouse:anthropic
  - lever:spotify
  - {source: ashby, board: openai, name: OpenAI}
  - workable:acme                                       # apply.workable.com/acme
  - {source: workday, board: nvidia.wd5/NVIDIAExternalCareerSite, name: NVIDIA}  # tenant.wdN/site
  - {source: eightfold, board: acme, name: Acme}      # tenant (or tenant/domain), from a link

filters:
  titles: ["engineer", "architect"]       # regexes; the title must match one
  exclude_titles: ["intern", "manager"]
  exclude_departments: ["sales"]
  locations: ["remote", "Denver", "Boulder, CO"]
  remote_country: US                      # remote roles must be open in the US ("any" to allow all)
  min_salary: 200000                      # the top of a listed range must reach this
  require_salary: false                   # true: drop postings without pay
  max_age_days: 30

keywords:                                 # relevance: title hits count double
  LLM: 3
  RAG: 3
  Python: 2
  "re:agent(s|ic)?": 2                    # "re:" prefix = regex

resume: ~/Documents/resume.pdf            # for fit scores
connections: ~/Downloads/linkedin.zip     # who you know at each company (see below)
scoring:
  backend: claude                         # or local
  top: 5                                  # score the 5 most relevant new jobs per digest
display:                                  # the browser page
  theme: system                           # system, light or dark
  width: standard                         # standard, wide or full

Relative paths are resolved from the watchlist's folder. State (which jobs you've seen, applied to or skipped, and their scores) lives in one SQLite file, by default ~/.local/share/jobwatch/state.db.

How locations match

A posting can list several places (London, UK; Remote-Friendly, United States; Austin, TX), and each one is checked:

• remote matches a place that says remote and is in remote_country, or says only "Remote". It also matches a posting whose own remote flag is set and that lists a US location.
• Any other entry matches as text, so Denver matches Denver, CO, United States.

Fit scores

Keyword relevance is fast and explainable, but it can't tell "uses Kubernetes" from "5+ years running Kubernetes in production". With resume: set and scoring.top (or --score N), the most relevant new jobs are scored with shortlist-ai:

1. It turns the posting into must-have and nice-to-have requirements.
2. It judges each requirement against your resume, with quotes it checks against the resume text.
3. It lists the must-haves the resume doesn't show.

Scores are stored per resume file content, so each job is scored once, and again only after you edit your resume. The local backend takes minutes per job, so keep top small.

Chat

Ask questions in plain words: "which three should I apply to first?", "what follow-ups are due?", "how well do I fit this one, honestly?", "what will they ask in interviews?". The chat uses the model you set for fit scores:

• scoring.backend: local: the same on-device model as scoring (pip install 'jobwatch[local]'). Nothing leaves your computer. The first answer waits for the model to load.
• scoring.backend: claude: Claude Sonnet via Anthropic's API (ANTHROPIC_API_KEY). Your question, your resume and the jobs it's about are sent to Anthropic.

It reads today's matching jobs and your applications, or one posting with its fit score and what you sent, plus your resume (the one you sent for that job, when it's kept). It's told to use only your resume for facts about you and to treat posting text as data, not instructions. It has no tools, so it can't change, apply for or send anything. The same thing works from the terminal:

jobwatch ask "What follow-ups are due this week?"
jobwatch ask --job c1 "What should my resume lead with for this one?"

Skills to build

Which skills do the jobs you're going after ask for that your resume doesn't show, and where can you learn them in the time you have?

jobwatch skills                     # gaps across today's matches and your applications
jobwatch skills --timeline month    # week, month, quarter (default) or any
jobwatch skills --all               # also the skills your resume already shows

Skills are ranked by demand: how many of your matching jobs mention one, with a must-have that a fit score found missing counting three times. Each comes with:

• curated courses and certifications from the official pages (AWS, Linux Foundation, DeepLearning.AI, Hugging Face, OWASP...), each with a rough time and marked if it's longer than your timeline;
• searches on LinkedIn Learning, Coursera, edX and, for AI skills, DeepLearning.AI;
• with a timeline of a quarter or more, certificate programs at colleges near you.

Fit-score gaps no course closes (a clearance, citizenship, a degree, travel) are listed apart, and so are must-haves asking for years of something: a course gives you something concrete to point to, not the years.

learning:
  timeline: quarter       # week, month, quarter or any
  near: Denver            # for colleges nearby; default: the first city in filters.locations

The chat knows the top gaps too ("what should I learn this month?"), and a job's details list the skills that posting asks for that your resume doesn't show.

The apply queue

Pick the roles worth a tailored application from the digest and queue them. Work through the queue when you have time:

jobwatch queue c1 aaaa-1111 --note "ask for a referral first"   # add (the posting id is enough)
jobwatch queue                             # what to apply to next, oldest first
jobwatch show aaaa-1111                    # full posting text: for tailoring a resume
jobwatch mark applied aaaa-1111 --note "referred by a friend"   # after you submit
jobwatch mark skipped greenhouse:acme:102
jobwatch list --status applied

Queued jobs leave the digest. The queue flags any posting that has since closed.

Jobs you found somewhere else

A job from LinkedIn, a job-alert email or a friend goes in the queue with its link. When the link is to a posting on Greenhouse, Lever, Ashby, Workable or Workday, jobwatch reads the posting from there, so it can be fit-scored and prepped for like any other, even if you don't watch that company. For anything else (LinkedIn, a company's own site), give the company and title and paste the posting's text:

jobwatch add https://apply.workable.com/acme/j/A1B2C3D4E5/ --status queued
jobwatch add "Umbrella" "Staff Engineer" --url https://www.linkedin.com/jobs/view/... --text posting.txt --status queued
pbpaste | jobwatch add "Umbrella" "Staff Engineer" --text - --status queued     # the posting from the clipboard

In the browser, press Add a job on the Queue page. Many job sites (LinkedIn's "Apply on company website", job-alert emails) link through to the company's own board: that link is the one to use.

Tracking applications

An application moves through stages: applied, screening, interviewing, offer, and then rejected or withdrawn. Each can have a next step and a day to follow up. Jobs you found somewhere jobwatch doesn't watch (a referral, a recruiter, LinkedIn) go in with add, so every application is in one list:

jobwatch add "Umbrella" "Principal Engineer" --url https://... --on 2026-09-14 --note "via a recruiter"
jobwatch add https://job-boards.greenhouse.io/acme/jobs/101 --on 2026-09-20   # read from the link
jobwatch mark screening c1 --next "technical round" --follow-up +7   # or a date: 2026-10-05
jobwatch mark rejected principal-engineer
jobwatch mark withdrawn c1 --add-note "recruiter says onsite only"   # adds a dated line; --note replaces
jobwatch applications            # every application, follow-ups due first (alias: apps)
jobwatch applications --due      # only the ones to act on today

The day you applied is kept as an application moves through the stages. --next "" or --follow-up "" clears a field.

Every company on Workday has its own careers site with its own sign-in, so after a few applications it's hard to remember where each one lives. For a Workday application, jobwatch show, jobwatch applications and the job's Details link that company's candidate page (.../userHome), where you sign in to see its status. jobwatch keeps only the link, never a login or password: your password manager saves each company's login under that company's own address. For one you added by hand whose posting has since come down, give it the company's careers site (jobwatch mark <stage> <key> --url https://acme.wd1.myworkdayjobs.com/Careers) and the page link follows.

What you sent

Each application keeps what you submitted, as copies:

• the resume and cover letter exactly as uploaded;
• the answers you gave on the form (salary expectation, why this company, notice period...);
• the posting as it read the day you applied.

Tailored resumes get rebuilt and postings change or come down. When a recruiter calls three weeks later, this is what they're looking at. The chat reads it too, so "prep me for the recruiter call" works from what you actually told them.

In the browser, open an application's Details and drop files into What you sent. From the command line:

jobwatch mark applied c1 --attach ~/Downloads/Resume_Initech.pdf
jobwatch attach c1 cover-letter.pdf --answers answers.yaml    # answers.yaml: "Why Initech?: ..." pairs
jobwatch package c1                                         # show it

Packages live in packages/<job>/ next to the state file. Removing a file moves it to .removed/ there rather than deleting it.

Prep sheets

Before a recruiter call or an interview, open the application's Details and press Prep sheet (or run jobwatch prep c1). One page, ready to print, with:

• the stage, next step and your notes;
• each requirement and responsibility in the posting, next to the line on your resume closest to it (the resume you sent, if you kept it), or a plain "nothing close" so you can prepare a story or an honest answer;
• skills they ask for that your resume doesn't show, with the fit score's missing must-haves;
• what you sent;
• questions to expect and questions to ask, for a screen or for interviews.

Nothing on it is written for you: it quotes the posting and your resume. For an application you added by hand, jobwatch looks for the posting on your watched boards by the requisition id in its title (R0123456, REQ-4711, Job 20769), so a Workday posting fetched later fills in the sheet.

Who you know there

A referral gets read before an application does. Download your LinkedIn data (Settings → Data privacy → Get a copy of your data) and upload the archive in jobwatch ui, or point connections: at the .zip or at its Connections.csv. Each digest and queue entry then lists your connections who work there:

You know: Ana Li (Staff Engineer) [messaged 14×, last 2025-03-02]; Bo Chen (Recruiter)

With the full archive, people you actually talk to come first. jobwatch counts the messages you exchanged, recommendations and endorsements, so a close colleague ranks above someone who only accepted a connection request. Only those counts are kept, never your messages. When you know nobody at a company, the page links to a LinkedIn search of your 2nd-degree network there, to find someone who can introduce you.

Companies are matched by name, ignoring suffixes like "Inc." and "Corporation". Your LinkedIn data is only read on your machine.

A digest lists each job once. Use digest --all to include jobs already shown, or --peek to look without marking them shown. Roles that disappear from a board are marked closed.

MCP server

jobwatch-mcp offers find_board, fetch_jobs, digest, job_details, mark_job, apply_queue, add_application, applications, save_application_package, application_package, interview_prep, skill_gaps and list_jobs to Claude Code or any MCP client. The watchlist comes from JOBWATCH_CONFIG:

claude mcp add jobwatch -s user -e JOBWATCH_CONFIG=~/jobwatch.yaml -- jobwatch-mcp

With a resume tool alongside it (for example resume-kit, whose resume draft starts a tailored version from a posting), an assistant can work through your queue: read the posting, tailor the resume from facts you've confirmed, check for a referral, and fill in the application for you to review. You still press Submit.

Why it doesn't auto-apply

Tools that auto-apply to hundreds of jobs make the process worse for everyone and rarely work for the person using them:

• Recruiters recognize mass applications.
• Some companies cap how many roles one person can apply to.
• Application forms ask legal questions (work authorization, export control, signatures) that you answer yourself.

jobwatch's job is to make sure you never miss a role worth applying to, and to spend your time on those.

Development

python -m venv .venv && .venv/bin/pip install -e '.[dev,mcp]'
.venv/bin/ruff check . && .venv/bin/python -m pytest -q

Tests use canned board responses and never touch the network, except the check that every curated course link still resolves: JOBWATCH_LINK_TESTS=1 pytest tests/test_learn.py. To see how jobwatch ui looks after a change, scripts/screenshots.py captures every tab in light and dark, at wide, desktop and phone widths, plus the chat with a canned reply (it needs pip install playwright && python -m playwright install chromium).

Releases publish to PyPI through Trusted Publishing when a v* tag is pushed.

MIT licensed.