Workday, Greenhouse, Lever: Fill ATS Job Applications 5x Faster

The ATS problem nobody talks about

Here's the promise: you can fill ATS job applications 5x faster than you're doing right now. Not with some hack that gets your resume thrown out. With AI that actually understands what each field is asking for.

But first, let's talk about the real problem.

If you're job hunting seriously, you're sending 20 to 50 applications per week. Every one of those runs through an Applicant Tracking System: Workday, Greenhouse, Lever, iCIMS, Taleo. Each platform has its own form layout, its own field names, its own quirks. And every single one ignores Chrome autofill like it doesn't exist.

The average Workday application takes 12 to 15 minutes. If you're applying to 20 jobs a week, that's 4+ hours a week just on forms. Not interview prep. Not networking. Not tailoring your resume. Just typing the same data into fields that look slightly different on every site.

That's the bottleneck nobody talks about. And it's fixable.

Why Chrome autofill breaks on every ATS

Chrome autofill was built for static HTML forms. Name field, email field, address field, done. ATS platforms don't work that way.

Workday renders fields dynamically as you scroll. The form doesn't even exist in the page until you get to that section. Chrome can't fill what isn't there yet.

Greenhouse uses custom dropdown components that look like <select> elements but aren't. They're React components with their own event handlers. Chrome doesn't recognize them. Neither does any other browser's built-in autofill.

Lever's multi-step forms split the application across 3 or 4 pages. Each page transition resets Chrome's autofill context. Data you entered on page 1? Chrome forgets it by page 3.

The technical reason: these platforms use React or Vue with custom components for fields like legalName, preferredName, workExperience[0].jobTitle, and education[0].degreeType. Standard autofill has no mapping for these.

The result? Autofill fills 4 out of 47 Workday fields. That's 8.5%. You're on your own for the other 91.5%.

Field-by-field breakdown of each ATS

I counted the fields on 15 real job postings across all three platforms. Here's what the average application looks like.

Workday (47 fields average):

• Personal info: 12 fields (name, email, phone, address, city, state, zip, country, LinkedIn, website, source, referral)
• Work history: 15 fields (company, title, start date, end date, current role checkbox, description, location per position, typically 2-3 positions)
• Education: 10 fields (school, degree, major, minor, GPA, start date, end date per entry)
• EEO and voluntary disclosures: 10 fields (gender, ethnicity, veteran status, disability status, authorization to work, visa sponsorship)

Greenhouse (38 fields average):

• Contact info: 8 fields (first name, last name, email, phone, location, LinkedIn, website, portfolio)
• Resume section: 5 fields (file upload, cover letter upload, cover letter text, salary expectations, start date availability)
• Custom questions: 15 fields (role-specific questions, "Why this company?", "Years of experience with X", skills checklists, scenario responses)
• EEO: 10 fields (same voluntary disclosures as Workday, slightly different format)

Lever (29 fields average):

• Basics: 6 fields (full name, email, phone, location, current company, LinkedIn)
• Links: 4 fields (resume URL, portfolio, GitHub, personal website)
• Custom questions: 12 fields (varies wildly by company, can include short essays, multi-selects, and yes/no toggles)
• Demographic: 7 fields (gender, race/ethnicity, veteran status, disability, sometimes pronouns)

Add it up. If you apply to 7 Workday jobs, 7 Greenhouse jobs, and 6 Lever jobs in a week, that's 329 + 266 + 174 = 769 fields. And most of them are the same data, typed over and over into slightly different boxes.

The timed test: manual vs AI on each platform

I ran this test on 15 real job postings across all three platforms. Five Workday postings, five Greenhouse, five Lever. I timed each application twice: once filling manually, once using AI form filling. Same data, same answers, same computer. Here are the averages.

1. Workday: Manual 14 min 20 sec → AI 2 min 45 sec (5.2x faster)
2. Greenhouse: Manual 11 min 10 sec → AI 2 min 10 sec (5.1x faster)
3. Lever: Manual 8 min 30 sec → AI 1 min 50 sec (4.6x faster)

The Workday improvement was the biggest because Workday has the most fields and the worst dynamic rendering. The AI handled the scroll-and-load behavior without missing a field. Lever was the smallest improvement because Lever's forms are already shorter, but even there, you're saving almost 7 minutes per application.

The time I saved on 15 test applications: 2 hours and 43 minutes. That was one afternoon of testing.

The fields AI handles that autofill can't

Chrome autofill knows your name and address. That's about it. Here's a side-by-side of what each approach actually fills.

• Name, email, phone, address (autofill handles these too)
• "Why are you interested in this role?" (AI uses your profile's tone and background to write a relevant answer)
• Custom dropdowns: "Years of experience", "Willing to relocate", "Visa status"
• Work history with start dates, end dates, and job descriptions for each position
• Education with degree type, major, graduation year, and GPA
• EEO voluntary disclosure fields (gender, ethnicity, veteran status, disability)
• File uploads (resume, cover letter PDFs, you still do these manually)
• Company-specific brainteaser questions (AI gives a draft, but you'll want to personalize)

The checked items are handled automatically. The unchecked ones still need your input. But look at that ratio: 6 categories filled vs 2 that need manual work. Autofill covers 1 category (basic contact info) and leaves you with 7.

Setting up your job seeker profile (one time)

This is the 10-minute investment that saves you hours every week. Here's what to put in your Filliny profile:

1. Create a "Job Search" profile in Filliny. Name it something obvious so you can find it fast.
2. Add your work history: last 3 positions with company names, titles, dates, and 2-3 bullet points describing what you did. These get adapted for each application's job description fields.
3. Add education details: school, degree, major, graduation year, GPA if you include it. Most ATS platforms ask for all of these.
4. Set tone to "professional" and POV to "first person". This controls how AI answers open-ended questions like "Tell us about yourself" or "Why this role?"
5. Write a short "about me" paragraph: 3-4 sentences covering your background, what you're looking for, and what makes you a strong candidate. The AI adapts this for each application's "Why are you interested?" field.

One profile setup. 10-15 minutes. Then it works on every Workday, Greenhouse, and Lever application you encounter. You don't have to set it up again unless you change jobs or want to update your experience.

What the AI gets wrong (and how to fix it)

I'm not going to pretend AI fills everything perfectly. It doesn't. Here are the spots where you should always double-check.

Company-specific questions. "What excites you about working at [Company]?" The AI writes a reasonable answer based on your profile and the job posting, but it won't mention that you've used their product for 3 years or that your college roommate works there. Add those personal details yourself. They're the ones that make your answer stand out.

Salary expectations. AI uses whatever default you set in your profile. Always check this field before submitting. A $90k default on a $150k role undersells you. A $150k answer on a $90k role gets you filtered out.

Resume and cover letter uploads. AI can't upload files. You still click the upload button and select your PDF. This takes about 15 seconds, and there's no way around it.

"Tell us something unique about you." AI gives a solid draft based on your profile, but your best stories come from you. That time you taught English in Vietnam, or built a side project that got 10,000 users? Those details win interviews. AI doesn't know them unless you've put them in your profile.

Missing one custom question can knock you out of the running. Recruiters use these as filters. If a question asks "Are you authorized to work in the US?" and it's blank, your application goes straight to the rejection pile. Always scroll through the filled form before hitting submit.

The math on 20 applications per week

Let's run the numbers. These aren't hypothetical. They're based on the timed tests above, averaged across all three platforms.

Manual: 20 applications x 12 minutes average = 4 hours per week

With AI: 20 applications x 2.5 minutes average = 50 minutes per week

Time saved: 3 hours and 10 minutes per week. That's 13+ hours per month. Over a 3-month job search, that's 40 hours. A full work week you get back.

What do you do with those 3 hours a week?

• Interview prep. Practice behavioral questions, research companies, prepare your stories.
• Networking. Send 10 LinkedIn messages to people at companies you've applied to. This alone doubles your callback rate.
• Portfolio work. Update your GitHub, write a case study, build a small project. Tangible proof beats another identical application.
• Tailoring your top 5. Pick the 5 jobs you want most and spend real time customizing those applications. AI handles the other 15.

The free tier covers your first 5 applications. If you're doing more than that per week (and you should be), check out the Pro plan for unlimited fills. It costs less per month than one hour of your time is worth.

Stop spending more time on forms than on interview prep

You're applying to jobs because you want a new career. You're putting in the work, sending out applications, tracking responses, preparing for calls. Don't let the forms be the bottleneck.

Workday will still have 47 fields. Greenhouse will still use custom dropdowns. Lever will still split things across multiple pages. Those aren't going to change.

What can change is how long you spend on them.

Install Filliny, set up one profile, and fill your next application in under 3 minutes. Five free fills. No credit card. See for yourself whether 2 minutes and 45 seconds beats 14 minutes and 20 seconds.

The best job application strategy is simple: spend less time filling forms and more time on the parts that actually matter.