Lever ATS: Resume Tips for Startups and Tech Companies

If you are applying to jobs at Netflix, Spotify, Shopify, Figma, Atlassian, or any of the thousands of fast-growing startups and mid-market tech companies that dominate hiring today, there is a strong chance your resume is passing through Lever. With over 7,400 companies using the platform worldwide, Lever has become the de facto recruiting system for organizations that care about candidate experience as much as operational efficiency.¹ And it operates differently from the enterprise applicant tracking systems you may have encountered at Fortune 500 companies.

Lever is not just an ATS. It is a combined ATS and CRM -- what the company calls a "Talent Relationship Management" system, or LeverTRM. That distinction matters for you as a candidate, because it changes how your resume is stored, searched, scored, and surfaced to recruiters. Understanding Lever's architecture gives you a measurable advantage over applicants who treat every ATS the same.

This guide breaks down exactly how Lever handles your resume, what recruiters see on their end, and how to optimize your application for the system that powers hiring at some of the most competitive employers in tech.

Key Takeaways

• Lever is an ATS+CRM hybrid. Your resume becomes part of a persistent candidate profile that accumulates data across every interaction with a company -- applications, referrals, emails, interview feedback, and notes. You are a person in the system, not just an applicant to a requisition.
• Lever supports word stemming but cannot match abbreviations. If you write "SEO" but the recruiter searches "Search Engine Optimization," your profile will not surface. Always spell out acronyms alongside their abbreviations.
• Formatting tolerance is higher than legacy systems, but not unlimited. Lever can parse tables and columns, but the extracted data may lose structure. Single-column layouts with standard section headers remain the safest approach.
• Links are clickable inside Lever. Unlike many enterprise ATS platforms that strip hyperlinks, Lever preserves them. Include your portfolio, GitHub, and LinkedIn URLs directly in your resume.
• Lever shows your cover letter prominently. Many candidates skip the cover letter field because they assume nobody reads it. Lever-using recruiters see it right alongside your resume in the candidate profile. Use it.
• Your profile persists. If you applied to a company two years ago and apply again, the recruiter sees your entire history. Make sure each application represents an improvement.

Lever's Approach: ATS Meets CRM

Most applicant tracking systems are built around the job requisition. A company posts a role, candidates apply, applications flow into that requisition's pipeline, and once the role is filled, those applications are effectively archived. If you apply to a different role at the same company six months later, you often start from scratch in the system.

Lever inverts this model. The fundamental unit in Lever is the candidate, not the requisition. When you submit your resume, Lever creates a persistent candidate profile that exists independently of any specific job posting. Every subsequent interaction -- another application, a recruiter's outreach email, a referral from a current employee, interview feedback, internal notes -- gets attached to that same profile.²

This is the CRM (Candidate Relationship Management) layer that separates Lever from traditional applicant tracking systems. Recruiters using Lever can see your complete history with the company at a glance: when you first applied, which roles you have been considered for, what feedback interviewers provided, and how you have responded to outreach.

For candidates, the practical implication is significant: consistency matters across time. If a recruiter at Shopify rejected your application in 2024 and you apply again in 2026, they will see both applications side by side. Your resume should tell a coherent story of growth. Contradictions between versions -- different job dates, disappearing roles, inconsistent titles -- become visible in a way they would not be in a requisition-centric system.

Lever's customer base skews heavily toward technology companies and high-growth startups. Netflix, Spotify, KPMG, Atlassian, Figma, Lyft, Udemy, Coursera, Twitch, Box, Upwork, and Credit Karma all use or have used Lever for recruiting.¹ This matters because the expectations and culture at these companies differ from those at traditional enterprises running Workday or Taleo. Lever-using companies tend to value impact over tenure, technical depth over credential accumulation, and cultural contribution over hierarchical progression.

How Lever Parses Resumes

When you upload a resume to Lever, the system reads the document as plain text, then maps the extracted content to structured fields in your candidate profile. These fields include your name, contact information, work history, education, and skills.

When you upload a resume to Lever, the system reads the document as plain text, then maps the extracted content to structured fields in your candidate profile. These fields include your name, contact information, work history, education, and skills. The parser extracts this information automatically, and the quality of that extraction depends on how your resume is formatted.³

Lever's parser is more sophisticated than many legacy ATS systems. It can handle a broader range of formatting choices without completely failing. According to Lever's own documentation, the system can parse information from tables and multi-column layouts.³ However -- and this is a critical distinction -- "can parse" does not mean "parses perfectly." Lever's help documentation explicitly notes that while it can extract data from tables and columns, "the format can sometimes be affected."³

What this means in practice: if you use a two-column resume with your skills in the left sidebar and your experience in the main body, Lever will likely extract most of the text. But the structural relationship between sections may be lost. Your skills might get concatenated with your work history. Section headers might not be recognized as headers. The recruiter will still see your raw resume file, so nothing is truly lost -- but the structured data in your candidate profile, which is what drives search and filtering, may be incomplete or jumbled.

What Lever Can and Cannot Parse

Single-column, left-aligned text; Standard section headers (Experience, Education, Skills, Certifications); Bullet points and numbered lists; Text-based content in PDF and DOCX formats; Hyperlinks (preserved as clickable links in the candidate profile). .

Parses well:

• Single-column, left-aligned text
• Standard section headers (Experience, Education, Skills, Certifications)
• Bullet points and numbered lists
• Text-based content in PDF and DOCX formats
• Hyperlinks (preserved as clickable links in the candidate profile)

Parses with potential issues:

• Multi-column layouts (content extracted but structure may be lost)
• Tables (data extracted but field mapping may be unreliable)
• Custom section headers (may not be recognized as distinct sections)

Cannot parse:

• Images and graphics (including text rendered as images)
• Embedded charts or infographics
• Content in headers and footers (sometimes skipped)
• Information stored only in file metadata

One parsing behavior that sets Lever apart is its handling of word stemming. When a recruiter searches for "collaborating," Lever will also match profiles containing "collaborate," "collaborated," and "collaboration." This is more intelligent than many enterprise systems that require exact keyword matches.⁴

However, Lever has a notable blind spot: it cannot match abbreviations to their full forms. If your resume says "SEO" and a recruiter searches for "Search Engine Optimization," your profile will not appear in the results. The reverse is also true. This limitation means you should always include both the abbreviation and the spelled-out version of technical terms, certifications, and industry jargon.⁴

The Candidate Profile: What Recruiters Actually See

Understanding the recruiter's view inside Lever helps you optimize what matters. When a recruiter opens your candidate profile, they see a unified dashboard that aggregates everything the company knows about you:

• Resume: Your uploaded document, viewable inline with clickable links
• Application details: The role you applied for, when you applied, and any answers to application questions
• Cover letter: Displayed prominently if you submitted one
• Referrals: If a current employee referred you, that connection is visible
• Interview feedback: Structured scorecards and free-form notes from every interviewer
• Email history: Any outreach or correspondence between you and the recruiting team
• Tags and scores: Recruiter-assigned labels and ratings visible to the entire hiring team
• Pipeline stage: Where you currently sit in the hiring process
• Other opportunities: Every other role at the company you have applied to or been considered for

This is fundamentally different from what recruiters see in a traditional ATS, where the resume is essentially the entire record. In Lever, your resume is one signal among many. A strong referral can compensate for a resume that does not perfectly match the job description. A thoughtful cover letter can differentiate you from candidates with similar qualifications. And a poor interview experience from a previous application can work against you even if your current resume is excellent.

The practical takeaway: optimize for the entire profile, not just the resume. Your LinkedIn should be consistent with your resume. Your cover letter should add context that the resume cannot. If you have a referral, make sure they actually submit it through Lever's referral system (most companies using Lever have a formal referral workflow).

Lever also has a "fast resume review" feature that lets recruiters quickly triage applications. They can advance a candidate, skip them, or archive them for future consideration. This means your resume needs to make its case quickly -- the first third of your document carries disproportionate weight.²

How Recruiters Search and Filter in Lever

Lever provides full-text search across all candidate data, not just the resume. When a recruiter types "Python machine learning" into the search bar, Lever searches your resume text, cover letter, application answers, interview notes, tags, and any other text associated with your profile.

Lever provides full-text search across all candidate data, not just the resume. When a recruiter types "Python machine learning" into the search bar, Lever searches your resume text, cover letter, application answers, interview notes, tags, and any other text associated with your profile. This broad search surface means that keywords in your cover letter or application responses can help you surface in searches even if those exact terms are not in your resume.⁴

Search Mechanics

Lever's search supports several features that affect how your resume should be optimized:

Word stemming means you do not need to include every conjugation of a keyword. If your resume says "managed," it will also match searches for "managing," "management," and "manager." This is more forgiving than systems like Taleo that often require exact matches.

Boolean search allows recruiters to construct precise queries. A recruiter searching for "React" AND "TypeScript" AND NOT "junior" will get exactly what they asked for. This means having the right specific technology names in your resume matters.

Tag-based filtering lets recruiters label candidates with custom tags like "strong frontend," "culture fit," or "revisit in Q3." These tags persist on your profile forever. If a recruiter tagged you positively two years ago, that tag still helps you when a new role opens.

Pipeline stage filtering allows recruiters to see all candidates at a specific stage (applied, phone screen, onsite, offer) across all open roles. This is an internal workflow feature, but it means recruiters are often reviewing candidates in batch -- your resume is being compared side-by-side with others at the same stage.

The Snooze Feature

One of Lever's distinctive capabilities is the "snooze" function. Rather than permanently archiving a candidate who is not right for the current role, a recruiter can snooze their profile for a set period -- three months, six months, a year. When the snooze expires, the recruiter receives an email notification to revisit the candidate.⁵

This has a direct implication for your job search strategy. If you apply to a Lever-powered company and get rejected, you are not necessarily gone from the system. A recruiter may have snoozed your profile because they liked your background but did not have the right role open. When the snooze expires and they revisit your profile, they will see everything -- including whether you have applied to other roles in the interim, updated your resume, or gained new experience.

This is another reason to treat every application to a Lever-powered company as part of a long-term relationship, not a one-shot transaction. For a deeper look at how different ATS systems parse resumes, see our comprehensive comparison guide.

Formatting Rules for Lever

Lever is more formatting-tolerant than enterprise systems like Taleo, SuccessFactors, or older versions of Workday. But "more tolerant" does not mean "anything goes." The goal remains the same: maximize the accuracy of parsed data extraction so that your structured candidate profile reflects your actual qualifications.

Document Format

Both PDF and DOCX work well with Lever. Unlike some ATS platforms that strongly prefer DOCX, Lever handles PDFs reliably. That said, if you are choosing between the two:

• PDF preserves your visual formatting exactly as intended and is the safer choice for design-conscious resumes
• DOCX may provide marginally better text extraction in edge cases

Use whichever format the job posting requests. If no preference is stated, PDF is a reasonable default for Lever-powered applications.

Layout

• Single-column layout remains the gold standard for parsing accuracy, even though Lever can handle columns
• Left-aligned text throughout the document
• Standard fonts (Arial, Calibri, Georgia, Times New Roman) in 10-12pt body text
• Clear section headers in 14-16pt: Work Experience, Education, Skills, Certifications
• Reverse chronological order within each section -- Lever and the recruiters using it expect to see your most recent experience first

What to Include That Lever Handles Well

Hyperlinks. This is one of Lever's genuine differentiators. Links in your resume remain clickable in the recruiter's view. Include: Many enterprise ATS platforms strip or break hyperlinks. Lever does not. Take advantage of this. A dedicated Technologies/Tools section. Tech recruiters using Lever frequently search for specific tools. A clearly labeled.

Hyperlinks. This is one of Lever's genuine differentiators. Links in your resume remain clickable in the recruiter's view. Include:

• LinkedIn profile URL
• Portfolio or personal website
• GitHub or relevant code repositories
• Published work, case studies, or presentations

Many enterprise ATS platforms strip or break hyperlinks. Lever does not. Take advantage of this.

A dedicated Technologies/Tools section. Tech recruiters using Lever frequently search for specific tools. A clearly labeled section listing your technical proficiencies makes these searchable and scannable. Format it as a simple comma-separated list or a clean grid -- avoid rating bars or skill level graphics that cannot be parsed.

Metrics and numbers. Lever's fast resume review feature means recruiters are scanning quickly. Quantified achievements ("Reduced deployment time by 40%," "Managed a team of 12," "Grew monthly active users from 50K to 200K") create visual anchors that catch the eye during rapid triage.

Lever-Specific Tips for Tech and Startup Applications

Because Lever is disproportionately used by startups and technology companies, optimizing for Lever also means optimizing for the culture and expectations of those employers. Here are strategies tailored to the Lever ecosystem.

Emphasize Impact Over Titles

Startups care about what you did, not what you were called. A "Marketing Associate" who built a content engine generating 500K monthly organic visits is more interesting than a "Senior Director of Content Strategy" who managed an existing team without measurable growth. Lead with outcomes, not org chart positions.

Show Progression Without Requiring Ladder Climbing

Many startup employees wear multiple hats and take on expanding responsibilities without formal promotions. If you went from individual contributor to leading a team to owning a product area -- all with the same title -- make that progression visible through your bullet points. Lever's recruiter view does not highlight title changes the way some enterprise systems do. Your narrative has to do that work.

Include a Technologies Section

This cannot be overstated for Lever-powered companies. Tech recruiters search for specific tools: "Kubernetes," "Terraform," "React," "dbt," "Snowflake," "Figma." If these terms are buried in your work experience bullets, they are still searchable, but a dedicated section ensures nothing is missed and signals your technical breadth at a glance.

Format it cleanly:

Technologies: Python, TypeScript, React, Node.js, PostgreSQL, Redis,
AWS (EC2, S3, Lambda), Docker, Kubernetes, Terraform, GitHub Actions,
Datadog, Snowflake, dbt

Spell Out Abbreviations (Always)

Given Lever's inability to match abbreviations to their full forms, always include both versions the first time you use a technical term or certification:

• "Search Engine Optimization (SEO)" not just "SEO"
• "Amazon Web Services (AWS)" not just "AWS"
• "Certified Information Systems Security Professional (CISSP)" not just "CISSP"
• "Customer Relationship Management (CRM)" not just "CRM"

After the first mention, using the abbreviation alone is fine -- the full form is already in your profile's searchable text.

Write a Cover Letter

Lever displays cover letters prominently in the candidate profile. At many Lever-powered companies, particularly startups where culture fit is heavily weighted, the cover letter is read by the recruiter and often by the hiring manager. Leaving it blank is a missed opportunity.

Your cover letter for a Lever company should:

• Explain why this specific company (not just this type of role)
• Add context the resume cannot provide (career transitions, motivation, domain passion)
• Be concise -- three to four paragraphs maximum
• Demonstrate you understand the company's product, market, or mission

Leverage the Persistent Profile

If you are applying to a company where you have applied before, acknowledge it. "I applied for the Frontend Engineer role in 2024 and have since led a complete React migration at my current company" shows self-awareness and growth. Recruiters using Lever will see your previous application regardless -- owning the narrative is better than hoping they do not notice.

Common Mistakes Candidates Make With Lever

Treating It Like a Traditional Enterprise ATS

Candidates who have spent years applying through Workday and Taleo often bring habits that do not translate well to Lever. Keyword-stuffing a resume with every term from the job description feels manipulative in a system where recruiters are doing nuanced, full-text searches rather than relying on automated knockout filters. Focus on authentic, accurate descriptions of your skills and experience rather than gaming a keyword count.

Not Including Links

This is the single most common missed opportunity with Lever applications. Your GitHub repositories, portfolio, published articles, and LinkedIn profile are all one click away in the recruiter's view -- but only if you include the URLs. In a system used by tech companies that value evidence of work over claims about work, omitting links is leaving leverage on the table.

Ignoring the Cover Letter Field

Many job seekers have been conditioned by enterprise ATS systems to believe nobody reads cover letters. In Lever, the cover letter is displayed in the same view as the resume. At startups, where every hire is high-impact and cultural alignment matters, the cover letter is often the differentiator between two technically similar candidates.

Submitting Generic Resumes to the Same Company Multiple Times

Because Lever aggregates all your applications into a single candidate profile, a recruiter who opens your profile and sees three applications in six months -- all with the same generic resume -- draws an unflattering conclusion. Each application should be tailored to the specific role, and the progression between applications should show growth or increasing specificity.

Forgetting That Rejected Does Not Mean Forgotten

Lever's snooze feature and persistent profiles mean your candidacy has a longer half-life than you might expect. A sloppy application to a "backup" company can haunt you when you later apply to your dream role at the same organization. Every application to a Lever-powered company is an investment in a relationship, not a disposable transaction.

Using Graphics for Key Information

While Lever is more tolerant of visual formatting than legacy systems, it still cannot parse text embedded in images. Skill level bars, graphical timelines, icon-based contact information, and infographic-style layouts all create blind spots in your parsed candidate profile. Keep critical information as real, selectable text.

Checking Your Resume Against Lever

Before submitting to a Lever-powered company, test your resume's ATS compatibility. Our free ATS resume checker analyzes your document for parsing issues, keyword gaps, and formatting problems that affect how systems like Lever extract and store your data.

Pay particular attention to:

• Abbreviation coverage: Have you spelled out every acronym at least once?
• Link presence: Are your portfolio, GitHub, and LinkedIn included as full URLs?
• Section headers: Are they standard and recognizable?
• Cover letter: Have you drafted one tailored to the specific company and role?

Final Thoughts

Lever represents a meaningful evolution in how recruiting technology works. Its candidate-centric model, CRM capabilities, and modern search functionality create a system that is simultaneously more forgiving and more demanding than traditional ATS platforms. More forgiving because your resume does not need to be a keyword-optimized document designed to trick an algorithm. More demanding because your entire history with a company is visible, your cover letter actually gets read, and the quality of your application is evaluated holistically.

The candidates who succeed with Lever-powered companies are the ones who understand that they are building a profile, not submitting a form. Every application, every interaction, every document you provide becomes part of a persistent record that follows you through your relationship with that employer. Treat it accordingly.

Related ATS Guides

Every ATS parses resumes differently. If you are applying broadly, understand the system your target employer uses:

• How 5 Major ATS Systems Parse Your Resume (2026) — Full comparison across all platforms
• Workday ATS: Why Your Resume Gets Lost (And How to Fix It) — Form data is the real application
• Greenhouse ATS: How It Parses Your Resume (2026) — Human-first review with scorecard evaluation
• iCIMS ATS: Resume Parsing Rules You Need to Know — Enterprise standard with persistent profiles
• Oracle Taleo ATS: Strict Parsing Rules That Reject Resumes — Strictest parser, DOCX required