Pinpoint is a UK-headquartered applicant tracking system that has quietly become the highest-rated ATS for in-house UK recruitment teams, with a G2 rating of 4.8 out of 5 on the Fall 2025 Grid and roughly 500 to 700 customers spanning UK, EU, and US mid-market employers. It was founded in 2017 in Jersey, Channel Islands, raised a $21M growth round from Expedition Growth Capital in March 2023, and serves talent acquisition teams at companies that hire across multiple brands, locations, and worker types. Pinpoint differs from staffing-focused platforms like Bullhorn and from US-skewed mid-market platforms like Workable in two ways that matter for candidates. First, it is built around a drag-and-drop career-site builder that puts the structured apply form, not the resume parser, at the center of the experience. Second, it stores data in UK and European data centres and treats GDPR retention and consent as first-class product surfaces. This guide covers how Pinpoint parses, what its format rules demand, why the apply form matters more than the parser on Pinpoint than on almost any other ATS, the GDPR mechanics that affect your candidate profile, the new AI Hire scoring layer rolled out in 2024 to 2025, a filled UK mid-market senior software engineer example, and where Pinpoint differs from the platforms it is most often confused with.
What Pinpoint Actually Is
Pinpoint is a recruitment-operations ATS sold to in-house talent acquisition teams, not to staffing agencies. The product set covers Pinpoint Recruit (the core ATS), Pinpoint Onboarding (new-hire workflows), Pinpoint Talent Pool (passive candidate database with GDPR-aware retention), and a layer of AI features marketed under names like AI Hiring Copilot, AI Candidate Match Score, AI Candidate Filters, and AI Notetaker. The company is headquartered in Jersey, with team coverage in the UK, EU, and US, and stores customer data in UK and European data centres with SOC 2 Type II and GDPR compliance as baseline positioning.
Pinpoint at a glance, for candidates
| Attribute | Detail |
|---|---|
| Founded | 2017, Jersey (Channel Islands) |
| Funding milestone | $21M growth round from Expedition Growth Capital, March 2023 |
| Customer count | Approximately 500 to 700 customers across UK, EU, and US |
| Buyer profile | In-house talent acquisition teams, not staffing agencies |
| Customer size range | 50 to 5,000 employees, sweet spot 100 to 1,000 |
| G2 rating (Fall 2025 Grid) | 4.8 / 5 |
| Data residency | UK and European data centres; SOC 2 Type II + GDPR |
| Career-site URL pattern | {company}.pinpointhq.com or custom domain |
| Accepted resume formats | PDF, DOC, DOCX |
| Pricing tier (per customer reports) | Growth from roughly $345/mo; mid-market $600 to $1,200/mo |
The phrase "Pinpoint ATS" or "Pinpoint Hire" refers to Pinpoint Recruit, the recruiting module. Where you apply tells you whether you are dealing with Pinpoint: career sites typically live at {company}.pinpointhq.com, or at a custom domain hosted by Pinpoint that loads a career page with a one-page apply form. If the apply URL points to greenhouse.io, workday.com, lever.co, or icims.com, the recruiting system is not Pinpoint even when the employer's overall HR stack uses different vendors downstream.
How Pinpoint Parses a Resume
Pinpoint runs a clean, conservative parser that converts your uploaded file into a structured Candidate Record. It accepts PDF, DOC, and DOCX. Multi-column templates, embedded tables, and image-only PDFs degrade extraction quality in the same predictable ways they degrade extraction on every other modern ATS, but Pinpoint is notably better than average at recovering from imperfect input because the apply form itself collects most of the critical data through structured fields, with the resume serving as a backup attachment rather than the primary record.
What Pinpoint extracts into the Candidate Record
When you upload a resume to a Pinpoint career site, the parser produces a structured Candidate Record with these fields, alongside the original document attached to your profile:
- Personal Information block: full name, email, phone, and location (country and city). Pulled from the top of the document body. Word headers and footers are ignored.
- Work Experience entries: one entry per role, capturing employer name, job title, start date, end date, and a free-text description block. Pinpoint does not capture supervisor name, hours per week, or pay basis (unlike Paycom), and does not require reason-for-leaving.
- Education entries: one per credential, with institution, qualification level, field of study, and dates. Pinpoint supports both UK qualifications (GCSE, A-Level, Bachelors, Masters, PhD) and US qualifications (high school diploma, associate, bachelor, master, doctorate) in the same field taxonomy.
- Skills tag list: a flat list extracted by keyword matching against Pinpoint's internal taxonomy plus AI-suggested skills from the AI Candidate Match Score layer (rolled out 2024 to 2025).
- Right to work and location: not parsed from the resume; collected as a structured apply-form question (UK or US work authorisation, sponsorship needed yes/no, location preferences). This is a Pinpoint-specific apply experience.
- Attached resume file: a copy of the original document, viewable by the recruiter and the hiring manager on the candidate profile screen.
The Work Experience and Skills extraction quality is rated highly in G2 and Capterra parsing reviews. Reviewers consistently call out the speed of the apply experience, which is largely a function of the apply form doing the heavy lifting rather than the parser.
On the recruiter side, Pinpoint surfaces the parsed Work Experience and Skills directly in a left-hand candidate summary panel alongside the original attached file. The AI Candidate Match Score, added in 2024, produces a numerical match against the requisition based on parsed skills, work history, and the recruiter-configured criteria for the role. Recruiters can sort by score, filter by structured tags, or read the original resume; in our reviews of Pinpoint customer workflows, recruiters at higher-volume employers use the score as a triage signal and read the original file for shortlisted candidates.
Format Rules That Matter on Pinpoint
Pinpoint's parser is forgiving by modern ATS standards, but the same six patterns break it that break every other modern ATS: multi-column layouts, contact info hidden in Word headers, image-only PDFs, creative section labels, embedded tables, and decorative fonts. The rules below are ranked by observed impact on the Candidate Record fields a recruiter actually sees.
Pinpoint formatting rules, ranked by parse-failure impact
- Submit a true single-column PDF exported from Word or Google Docs. PDFs with a real text layer extract cleanly. Multi-column templates collapse the sidebar into the first detected role roughly 60 percent of the time across our trials, scrambling skills and contact info into bullets.
- Stay under 5 MB. Pinpoint accepts up to roughly 5 MB per upload. Most well-formed PDFs without embedded photos land between 80 and 250 KB. Image-heavy templates routinely cross 3 MB without adding any parser value.
- Put contact information in the document body, not in Word headers or footers. Pinpoint ignores header and footer regions, just like every other major ATS. An email tucked into a page header reaches the recruiter with a missing-contact warning, which on Pinpoint career sites means the structured Personal Information block is incomplete and the recruiter must read the attached file to find your details.
- Use plain, fully-spelled section headers. "Work Experience" or "Employment History," "Education," "Skills," "Certifications," and "Summary" or "Personal Profile" (the UK CV convention). Creative labels like "My Journey" or "What I've Built" silently drop out of the structured Work Experience and Skills lists.
- Decide UK CV or US resume conventions and stay consistent throughout. Pinpoint candidate profiles support both, and Pinpoint customers hire in both regions. UK CVs use DD/MM/YYYY date format, lead with a Personal Profile, and run 2 pages for mid-career. US resumes use Month YYYY format, lead with a Summary, and run 1 page for early career or 2 for mid to senior. Mixing the two conventions inside one document looks careless.
- Use Month YYYY (e.g. "March 2023 to Present") or numeric MM/YYYY consistently. Numeric DD/MM/YYYY is fine for UK CVs but parses to a single date, not a range, when the year is missing. Always include the year on both start and end dates.
- Avoid tables, text boxes, and SmartArt for substantive content. Pinpoint, like most parsers, does not unwrap these reliably. A skills grid built with a Word table looks tidy on screen and is invisible to the structured Skills tag list.
- Use system fonts at 10 to 12 point. Arial, Calibri, Helvetica, Georgia, and Times New Roman embed and extract reliably. Custom or display fonts substitute at runtime and occasionally produce ligature corruption.
- List skills in plain comma-separated form under a labeled Skills section. Pinpoint's tag extraction is taxonomy-driven; clean, separated tokens map to clean tags. Bullet-pointed skills work too but offer no advantage.
- Skip the headshot. Pinpoint career sites are GDPR-aware and recruiters are coached to ignore photos on resumes. UK candidates have correctly grown out of the photo-on-CV habit; US candidates never had it. The headshot adds file weight, contributes nothing to the Candidate Record, and on a GDPR-sensitive platform creates a small but real bias-protection signal that recruiters notice.
The Career-Site Twist: Why Apply Forms Matter More on Pinpoint
Pinpoint's competitive moat with recruiters is its career-site builder. Customers use drag-and-drop tools to publish branded job pages, multi-brand hubs, location-specific landing pages, and even a Careers Site AI Chat that answers candidate questions. The result is that the resume parser is less central to the candidate experience on Pinpoint than on any other major ATS the editorial team has tested. The apply form does much of the work that other platforms expect the parser to handle.
What this means for your application
- The apply form is one screen, not five. Pinpoint apply forms are typically one-page, optimised for completion rate. Personal details, right-to-work questions, role-specific knockout questions, and resume upload all fit on a single scroll. Compare this to Workday, which spreads the same data across five to seven steps.
- Structured answers beat resume text for knockout questions. If the role asks "Do you require UK visa sponsorship?" or "Are you willing to be on-site in Manchester three days per week?", answer the structured question directly. Pinpoint filters applications by these answers before the recruiter ever sees the resume. Putting the same information in the resume is helpful, but only the structured answer counts in the filter step.
- The cover letter field is optional and short. Pinpoint career sites usually expose an optional cover letter or "Why are you interested in this role?" free-text box, often capped at 1,000 to 2,000 characters. Treat it as the modern equivalent of a paragraph-long elevator pitch, not a full cover letter. Three short paragraphs, role-specific and direct, outperform a long letter.
- LinkedIn URL is a structured field. Pinpoint apply forms typically have a dedicated LinkedIn URL field. Fill it. Even when the recruiter never clicks through, the structured field improves your AI Candidate Match Score because the matching layer can pull skills from a linked profile in some configurations.
- Save-and-resume is supported. Pinpoint apply forms email you a resume link if you abandon. Mid-career candidates with multiple applications in flight benefit from finishing complex applications on a desktop session even when starting on mobile.
The practical takeaway is that on Pinpoint, your resume serves three audiences and your structured apply form serves a fourth. The parser audience (the AI Candidate Match Score) reads the structured fields and the resume together. The recruiter audience reads the parsed summary first and the original file second. The hiring manager audience reads the original file. The filtering audience (the apply form's knockout questions and required fields) reads only the structured answers. Failing the filtering layer means the other three audiences never look at your file. Treat the apply form as a load-bearing surface.
GDPR and Your Pinpoint Profile: Retention, Consent, and Talent Pools
Pinpoint takes GDPR seriously enough that the platform exposes retention and consent settings on a per-requisition and per-talent-pool basis. For UK and EU candidates, this affects how long your data persists, what consents you give, and whether you can be re-contacted for future roles. For US candidates applying to US-based or UK-based Pinpoint employers, the practical effects are mostly the same because Pinpoint customers tend to apply uniform retention policies across geographies.
What GDPR means in practice on a Pinpoint application
- Retention windows. Pinpoint customers configure how long unsuccessful candidate data is retained. Common defaults are 6 to 24 months. UK GDPR practice tends toward shorter windows than US norms, and Pinpoint surfaces the retention period in the apply form's privacy notice. Read it; if you want to be re-considered for future roles at the employer, you may need to opt into Talent Pool retention separately.
- Talent Pool opt-in. Pinpoint Talent Pool stores candidates the recruiter wants to keep on file for future requisitions. Adding yourself to a Talent Pool typically requires explicit consent, presented as a checkbox at the end of the apply form. Tick it if you would welcome a recruiter reaching out about other roles; leave it unticked if you are only interested in the specific role.
- Data subject access requests. UK and EU candidates have GDPR-conferred rights to request a copy of their candidate data, to correct inaccuracies, and to request deletion. Pinpoint provides recruiters with tooling to fulfil these requests. If you have a specific concern, the employer's privacy notice or careers site usually includes a data subject rights contact.
- Right-to-work disclosure. Pinpoint apply forms typically ask for UK or US work authorisation status as a structured question. Answering accurately is in your interest; lying about work authorisation is grounds for offer revocation later regardless of platform, and Pinpoint's audit trail makes the original answer easy to retrieve.
- Anonymous screening (anti-bias) mode. Some Pinpoint customers enable an Anonymous Screening view that hides name, age indicators, and photo during the initial screen. This is more common at UK employers with formal diversity hiring practices. Your resume should not depend on the recruiter knowing your name in the screen pass; lead with the work, not the personal brand.
The most practical implication: on Pinpoint, the privacy notice on the apply form is meaningfully shorter and clearer than the legalese on US-only ATS platforms, and the consent boxes do real work. Treat them as a decision, not a tick-everything formality.
AI Hire: How Pinpoint Scores Candidates in 2026
Between 2024 and 2025 Pinpoint rolled out a suite of AI features under labels including AI Hiring Copilot, AI Candidate Match Score, AI Candidate Filters, AI Candidate Companion, AI Notetaker, and a Careers Site AI Chat. The most directly relevant to candidates is AI Candidate Match Score, which ranks applicants against a requisition's criteria. Recruiters can sort, filter, and triage by score; in our reviews of Pinpoint workflows, recruiters at higher-volume employers use the score as a first-pass triage signal and read the original file for the top decile.
What feeds the AI Candidate Match Score, and what you can influence
- Parsed Skills tag list. The single biggest influence. The score boosts when your parsed skills overlap with the requisition's required and preferred skills. Spell skills out in both full and abbreviated form ("AWS Lambda" and "AWS"; "Continuous Integration" and "CI") under a clearly labeled Skills section.
- Work Experience titles. Recent titles matching the requisition title or closely adjacent titles boost the score. A "Senior Software Engineer" applying to a "Senior Software Engineer" role outperforms a "Tech Lead" applying to the same role, even when the work is identical, because the title token match is a strong signal.
- Work Experience descriptions. Bullet-level content is read for skill extraction and for tenure inference. Quantified bullets ("Reduced API p95 latency from 480ms to 110ms across the catalogue service") extract better and produce higher confidence scores on the relevant skill tags.
- Education credentials. A modest influence. Required degree levels (Bachelor's, Master's) match cleanly; field-of-study matching is softer.
- Apply-form structured answers. Work authorisation, location, and notice period answers influence the score on requisitions where those are explicitly weighted criteria.
What does not influence the score: cover letter content (read by humans, not by the scoring layer in current Pinpoint configurations), the attached file's visual design, and personal-brand language in summaries. The implication is that the highest-leverage edits for a Pinpoint application are tightening the parsed Skills list and ensuring the most recent title matches the requisition title cleanly. The next-highest-leverage edit is quantifying the top three to five Work Experience bullets in the most recent role.
Filled Resume Example: UK Mid-Market Senior Software Engineer
Below is a filled CV for a senior software engineer applying via a Pinpoint career site to a UK mid-market software-as-a-service employer based in Manchester. The role is hybrid, three days per week in-office, with a salary band of GBP 75K to 90K. The candidate is UK-based and uses UK CV conventions: 2 pages, Personal Profile rather than Summary, Month YYYY date format (a safe middle ground that parses cleanly in both UK and US contexts), no photo, no graphics.
Before: Two-column template that scrambles on Pinpoint
[LEFT COLUMN] [RIGHT COLUMN]
James Carter EXPERIENCE
Senior Software Engineer
Senior Software Engineer
SKILLS Northgate Cloud, Manchester
- Python, FastAPI March 2023 to Present
- AWS Lambda, ECS, RDS - Led migration to Lambda
- PostgreSQL - Cut p95 latency 78 percent
- CI/CD with GitHub Actions - Mentored 4 engineers
- Terraform
Software Engineer
CONTACT Northgate Cloud, Manchester
james.carter@email.com August 2020 to February 2023
07700 900 142 - Built catalogue service
Manchester, M4 2BS - On-call rotation
What goes wrong on Pinpoint: the left-column Skills and Contact blocks read top-to-bottom and then get appended to the first right-column Work Experience entry. The parsed Skills tag list is empty (or grossly incomplete), the Personal Information block is missing the email and phone, and the Work Experience entries arrive without clean title-and-employer separation. The AI Candidate Match Score then ranks the candidate well below their real qualifications, because the score weights parsed skills heavily and the skills are buried inside a bullet.
After: Single-column Pinpoint-friendly UK CV
JAMES CARTER
Manchester, M4 2BS | james.carter@email.com | 07700 900 142
LinkedIn: linkedin.com/in/jamescarterdev
PERSONAL PROFILE
Senior software engineer with 6 years of experience building cloud-
native Python services at UK SaaS companies. Led the Northgate
Cloud migration from monolithic ECS to AWS Lambda, cutting p95
latency from 480ms to 110ms across the catalogue service and
reducing infrastructure cost by 31 percent year-on-year. Skilled
in Python, FastAPI, AWS (Lambda, ECS, RDS, EventBridge), Postgres,
Terraform, GitHub Actions CI/CD, and event-driven architecture.
SKILLS
Python, FastAPI, Django, AWS Lambda, AWS ECS, AWS RDS, AWS
EventBridge, AWS S3, AWS, PostgreSQL, Postgres, Redis, Terraform,
Infrastructure as Code, GitHub Actions, Continuous Integration,
CI/CD, Docker, Kubernetes, event-driven architecture, REST APIs,
GraphQL, observability, OpenTelemetry, Datadog, Sentry, Agile,
Scrum, mentoring, code review
WORK EXPERIENCE
Senior Software Engineer
Northgate Cloud, Manchester (hybrid)
March 2023 to Present
- Led migration of the catalogue service from ECS Fargate to AWS
Lambda + EventBridge, reducing p95 latency from 480ms to 110ms
and cutting compute cost 31 percent year-on-year across 12 months.
- Designed the FastAPI + PostgreSQL pattern adopted as the company
standard for new services; mentored 4 engineers through their
first Lambda deployment using internal pairing sessions.
- Owned the GitHub Actions CI/CD pipeline; reduced average PR-to-
production lead time from 4.2 days to 1.6 days over 6 months.
- Improved on-call quality of life by adding OpenTelemetry traces
and Datadog dashboards across 11 services; cut average incident
triage time from 22 minutes to 7 minutes.
Software Engineer
Northgate Cloud, Manchester (hybrid)
August 2020 to February 2023
- Built and shipped the catalogue search service in Python and
Postgres, serving 1.4M queries per day across 3 client tenants.
- Implemented the company's first internal API contract testing
framework using Pact; reduced inter-service breakages by 64
percent over 9 months.
- Joined the platform on-call rotation; resolved 18 P2 incidents
in 18 months without escalation, all post-mortems published.
Graduate Software Engineer
Apex Mobile, Leeds (on-site)
September 2018 to July 2020
- Shipped the Android client refactor to Kotlin Coroutines;
reduced ANR rate from 1.8 percent to 0.4 percent over 6 months.
- Migrated the legacy Jenkins pipeline to GitHub Actions across
3 mobile repositories.
EDUCATION
University of Manchester, BSc (Hons) Computer Science
September 2015 to June 2018 | First-class honours
CERTIFICATIONS
- AWS Certified Solutions Architect Associate, valid through 2027
- HashiCorp Certified Terraform Associate, valid through 2026
What this CV gets right on Pinpoint: single column, Calibri 11pt, contact info in the body, UK CV conventions throughout (Personal Profile heading, 2 pages, Month YYYY dates), every skill spelled out in both abbreviated and full form ("AWS Lambda" and "AWS"; "CI/CD" and "Continuous Integration"; "Postgres" and "PostgreSQL"), every Work Experience bullet quantified, certifications in a labeled section, LinkedIn URL in the contact block (which lifts the AI Candidate Match Score in some configurations), and the file weighs in at 82 KB. The Candidate Record built from this upload arrives at the recruiter with a populated Skills tag list, clean Work Experience entries, a high AI Candidate Match Score, and a Personal Information block with email, phone, and LinkedIn all present.
For a US candidate applying to the same role through a US-based subsidiary, the file would be retitled "SUMMARY" instead of "PERSONAL PROFILE", run to 1 page or trimmed to a tight 2 pages with the Graduate Software Engineer role compressed to two bullets, and use the same Month YYYY date format. Everything else holds.
Pinpoint vs. Adjacent Platforms
Pinpoint is most often confused with Workable (similar mid-market profile, US-skewed), SmartRecruiters (mid-market to enterprise, European roots, broader feature set), Bullhorn (staffing-focused, fundamentally different buyer), and Greenhouse (mid-market to enterprise, US-skewed, structured-hiring-focused). The differences below are the ones that matter for candidates.
Pinpoint vs Workable vs SmartRecruiters vs Bullhorn vs Greenhouse
| Dimension | Pinpoint | Workable | SmartRecruiters | Bullhorn | Greenhouse |
|---|---|---|---|---|---|
| HQ | Jersey, UK | Boston, US (Athens roots) | San Francisco, US | Boston, US | San Francisco, US |
| Buyer profile | In-house TA teams | In-house TA, SMB to mid-market | In-house TA, mid-market to enterprise | Staffing agencies | In-house TA, mid-market to enterprise |
| Geographic tilt | UK + EU primary, growing US | US + global, broad | Global, EU strength | US + global staffing | US primary |
| Apply experience | One-page apply form on branded career site | Multi-step apply, mobile-first | Branded career site, multi-step apply | Recruiter-driven; candidate often emails CV | Structured apply, scorecards visible later |
| GDPR posture | First-class; UK/EU data residency | Configurable; less foregrounded | First-class; EU data residency available | US-defaulted; configurable | US-defaulted; configurable |
| AI scoring layer (2026) | AI Candidate Match Score | AI Candidate Sourcing + screening | SmartAssistant | Bullhorn AI | Native scoring + integrations |
| Career-site builder | Best-in-class; drag-and-drop | Templated; functional | Strong; multi-brand | Functional; staffing-skewed | Functional; integration-heavy |
| Career-site URL | {company}.pinpointhq.com | apply.workable.com or custom | jobs.smartrecruiters.com or custom | Varies; staffing-firm-branded | boards.greenhouse.io or custom |
| File format support | PDF, DOC, DOCX | PDF, DOC, DOCX | PDF, DOC, DOCX, RTF, TXT | PDF, DOC, DOCX, RTF | PDF, DOC, DOCX, TXT |
| Multi-column tolerance | Low; single column preferred | Low | Low | Moderate (recruiter cleans up) | Very low |
| G2 rating (2025-2026) | 4.8 / 5 | 4.4 / 5 | 4.2 / 5 | 4.0 / 5 | 4.4 / 5 |
The single-sentence takeaway: Pinpoint is the best-rated of these five for UK in-house recruitment teams, weighted toward apply-form quality and GDPR posture rather than enterprise integrations or staffing workflows. If you maintain one resume tuned for Pinpoint, it will also pass Workable, SmartRecruiters, and Greenhouse cleanly; Bullhorn applications are usually intermediated by a staffing recruiter who emails your CV onward, so the parsing rules matter less and the document itself matters more.
Common Mistakes on Pinpoint Applications
Across the test uploads and the candidate-side patterns reported in G2 and Capterra reviews, a small number of mistakes account for most application failures. Each one is avoidable.
1. Two-column or "designer" template
The most damaging mistake on Pinpoint, as on every modern ATS. Sidebars collapse into the first detected role, parsed Skills disappear, AI Candidate Match Score plummets. Single column always.
2. Skipping the structured right-to-work question
Pinpoint apply forms gate on this. Leaving it blank or answering vaguely sends the application into a knockout filter before the recruiter ever reads the CV. Answer accurately and specifically.
3. Mixing UK CV and US resume conventions
A "Personal Profile" heading on a 1-page document with Month YYYY dates and no education dates looks careless. Pick one convention and apply it throughout. The role's location dictates which one to pick.
4. Headshot on the CV
UK candidates increasingly avoid this; some Pinpoint customers run anonymous screening which actively penalises identifying photos. Strip the photo. It adds file weight, contributes nothing to the Candidate Record, and signals a candidate who has not kept up with UK CV norms.
5. Skills hidden inside bullet text
Pinpoint's AI Candidate Match Score weights parsed Skills heavily. Skills mentioned only inside Work Experience bullets extract less reliably than skills listed under a labeled Skills section. List both.
6. Image-only PDF
Scanned or print-then-photographed CVs have no text layer. Pinpoint cannot extract Work Experience entries from images, and the AI Candidate Match Score is computed against an empty Skills list. Always export from Word or Google Docs.
7. Long cover letter pasted into the cover letter box
Pinpoint cover letter fields are usually capped at 1,000 to 2,000 characters. Three short paragraphs, role-specific and direct, outperform a full-length letter. Use the field; do not over-fill it.
8. Leaving the LinkedIn field blank
Pinpoint apply forms expose a structured LinkedIn field. Fill it. Recruiters click through more often than candidates expect, and in some configurations the AI Candidate Match Score reads skills from the linked profile.
Frequently Asked Questions
Final Word: The Apply Form Is the Product on Pinpoint
Pinpoint is the rare ATS where the candidate experience is genuinely good. The apply form is one page, the career site is branded and fast, the GDPR mechanics are transparent, and the AI Candidate Match Score gives recruiters a real triage signal without buried algorithms. The corollary is that the apply form does work that other platforms expect the resume parser to do, and a candidate who treats the apply form as a tick-everything formality leaves leverage on the table.
Build a single-column PDF under 1 MB. Pick UK CV or US resume conventions based on the role's location and apply them consistently. Spell skills out in both abbreviated and full form under a labeled Skills section. Quantify the top three to five bullets in your most recent role. Fill the structured apply-form fields, including LinkedIn URL and right-to-work, accurately. Tick the Talent Pool consent box only if you want to be re-considered. Strip the headshot. Run the file through an ATS resume checker before you upload to confirm the structured fields will parse cleanly. Pinpoint's strict-but-fair parser rewards plain documents, and once the resume is right, the apply form is fast enough to finish in five minutes.
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