B

Bullhorn

Cloud-based recruitment CRM and ATS platform

Business Development Representative

Full-TimeUpdated on 10/23/2026
No salary listed
Entry
Amsterdam, Netherlands
HybridHybrid role; requires at least three days per week in the Amsterdam office.
Sales & Account ManagementSales Development Representative

About the job

Requirements
  • Be bilingual in Dutch and English.
  • Have the ability to write succinct, crisp emails and maintain a professional phone manner.
  • Have strong analytical skills and the ability to quickly learn unfamiliar technologies, including customer relationship management, applicant tracking, and marketing automation systems.
Responsibilities
  • Develop and create new business opportunities for the sales team by qualifying leads and passing them to the appropriate sales representative while delivering high-quality customer service to prospective clients.
  • Learn and execute proven processes to generate new sales opportunities.
  • Map prospective accounts around organizational structure, people, and existing technology.
  • Follow up on all new inbound inquiries within a set timeline.
  • Manage and maintain a pipeline of interested prospects.
  • Use customer relationship management tools to prospect into specific geographic territories.

About the company

Bullhorn provides cloud-based software for the staffing and recruiting industry, with an integrated platform that includes a CRM, an ATS, and other operations tools. It automates the entire recruitment lifecycle—from sourcing to placement and payment—delivered through a SaaS model. The platform uses artificial intelligence to improve job matching and candidate recommendations, helping agencies place candidates faster. Bullhorn serves a global base of firms of all sizes, including 80% of the world’s largest recruitment agencies, with specialized solutions for sectors like healthcare staffing and executive search, and aims to streamline and optimize hiring workflows for staffing agencies.

Company Size

1,001-5,000

Company Stage

Series D

Total Funding

$32.1M

Headquarters

Boston, Massachusetts

Founded

1999

Get referred to Bullhorn

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Bullhorn launched Amplify Digital Workers on May 28, 2026, expanding AI monetization.
  • Asurint and Bullhorn released integrated healthcare credential management on July 7, 2026.
  • Bullhorn won Salesforce Partner of the Year on September 10, 2026, strengthening ecosystem credibility.

What critics are saying

  • Bullhorn’s headcount fell to 1,411 in 2026, signaling tighter operating leverage and churn.
  • AI competitors like CoRecruit and SeekOut target Bullhorn’s core workflow bottlenecks directly.
  • If staffing agencies standardize elsewhere, Bullhorn becomes a legacy system vendor, not infrastructure.

What makes Bullhorn unique

  • Bullhorn owns the staffing ATS-CRM workflow, powering 10,000 customers globally.
  • Bullhorn’s Salesforce-native Recruitment Cloud anchors four of the five largest global staffing firms.
  • Amplify Digital Workers and Amplify Chat extend Bullhorn beyond records into AI execution.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • 401(k) Company Match
  • Unlimited Paid Time Off
  • Wellness Program
  • Mental Health Support
  • Training Programs
  • Mentor Program
  • Employee Referral Program

Growth & Insights and Company News

6 month growth

0%

1 year growth

-1%

2 year growth

0%
Dutch IT Channel
Oct 21st, 2026
Bullhorn reports security incident and restores systems.

Bullhorn reports security incident and restores systems. Software supplier Bullhorn is working to restore its platform following a recent security incident. While the ATS/CRM system in the APAC region is gradually being made accessible again, the company explicitly warns customers about possible social engineering attacks and phishing attempts. In a security update, Bullhorn calls on users to exercise heightened vigilance. Malicious actors may impersonate employees of the software supplier via email, SMS or phone and use the incident as a pretext to extract login credentials or verification codes. Bullhorn emphasizes that its staff will never ask for passwords, Multi-Factor Authentication (MFA) codes or verification tokens. Phased recovery in APAC region. Recovery of access to the Bullhorn ATS/CRM platform in the Asia-Pacific (APAC) region has now begun. Although some users can log in again, the company warns that the full recovery process will take time and that organizations should expect continued disruption during the working day. Bullhorn emphasizes that the time required is due to the technical recovery procedure and not to a new security threat. Users are advised not to change their password, as this may slow down the recovery process, and to try logging in approximately every half hour. Status in other regions. In the other regions, the systems are back online and performance is being closely monitored. In addition, specific recovery measures have been implemented: * Single Sign-On (SSO): SSO access from the ATS to external and internal applications has been restored for the United States; other regions are being worked on. SSO users who previously experienced problems are asked to test the connection again. * Customizations: Bullhorn-managed customizations are being gradually brought back online in all regions. According to Bullhorn, its technical team is working around the clock to fully restore access for all affected customers. About Witold Kepinski. Witold Kepinski (1969) is a Director, Editor-in-Chief and Director of Content at Dutch IT Channel and Dutch IT Leaders. Witold Kepinski has been active in the IT media and tech business industry for 25 years. With a specialized team of editors, bloggers and video makers, Witold Kepinski provides insight into tech business trends and applications with which IT decision-makers and Channel Partners make an impact.

UsedBy.ai
Oct 15th, 2026
BrightHire or Metaview: which interview notetaker fits your team?

BrightHire or Metaview: which interview notetaker fits your team? Both record and summarize interviews and state SOC 2 Type II. Capture modes, ATS links and retention are where they differ. 84companies identified for Metaview 59companies identified for BrightHire Which tool fits your needs? * Audio-only or code capture Metaview documents audio, video and code capture, video can be switched off, and candidates can opt out in one click. Whether BrightHire captures code is not stated. Source 1 · Source 2 * AI screening and fraud signals BrightHire fits better: it describes an AI interviewer for first-round screens and fraud signals in AI-run and live interviews. Which video tools it supports is not detailed. Source 1 * Documented retention and data location Metaview states a two-year default retention that can be changed, on-demand deletion, AWS storage in the UK and a DPA. BrightHire offers customizable retention, but no default or storage region is given. Source 1 · Source 2 * A wide published ATS list BrightHire publishes ten ATS integrations, including Workday, iCIMS, Jobvite and Bullhorn. Metaview's profile shows five, but that is a shorter summary, so any other ATS is unknown rather than unsupported. Source 1 · Source 2 The shared job: an interview record nobody has to type. BrightHire and Metaview both aim at the same moment: a recruiter finishes an interview and needs a record that hiring managers can read. Metaview describes AI agents that take interview notes, review applications, source candidates and produce reports. BrightHire describes a product that plans, records and summarizes interviews, runs AI first-round screens, assists decisions and coaches interviewers. This comparison stays on documentation: capture, notes, ATS connections, permissions and retention. It does not rank hiring quality. The impact figures each vendor publishes cover different populations and metrics, so they are not comparable and are not treated as tests here. Capture: what gets recorded and how. Metaview's privacy page says it records audio, video and code. Video can be switched off for audio-only capture, candidates can opt out in one click, and the tool can be used without recording at all. Metaview also states that fewer than 5% of candidates opt out. BrightHire's homepage says its AI records and summarizes interviews, and describes a consent-first design. It also offers an AI interviewer for first-round screens and says it surfaces fraud signals in both AI-run and live interviews. It mentions video-conferencing integrations without detailing them. In practice: if you want one tool that also screens and flags fraud, BrightHire documents that scope. If your interviews include coding exercises, Metaview explicitly lists code capture. Whether BrightHire captures code, and which video tools each product supports, are demo questions. Notes and sharing: from recording to hiring manager. Metaview's case studies show how notes travel. At Perk, the notetaker transcribes word for word, produces highlights and recaps, and structures notes to fit the ATS. The team also uses it in intake briefings with hiring managers and in debrief meetings. At Elara Caring, the AI fills in an existing screening questionnaire, and hiring managers get a summary at the top of each one. Elara reports that most recruiters said phone screens take about half the time; that is a vendor-published customer statement, not a measured benchmark. The Bowdoin Group, a search firm, uses custom templates so the same captured information can be reshaped into client deliverables, short or detailed depending on the client. BrightHire's homepage describes AI notes and highlights, best-of interview clips, candidate summaries to support decisions, and an interviewer coaching agent. Searching across notes is not described for either product in the pages read, so test it with a real question during a demo. ATS connections: compare lists with care. BrightHire publishes an integration list: Greenhouse, Ashby, Workday, iCIMS, Rippling, Lever, SmartRecruiters, Gem, Jobvite and Bullhorn. Its homepage also mentions video conferencing and collaboration tools such as Slack and Teams. For Metaview, the catalogue profile shows Ashby, Greenhouse, Lever, Gem and SmartRecruiters, and the Perk case study says notes are structured to fit the ATS. That is a shorter summary, not a full integration list, so a missing ATS is unknown rather than unsupported. Confirm your own ATS, and how notes land in it, with both vendors. Permissions and retention. BrightHire's homepage states SOC 2 Type 2, GDPR and CCPA compliance, role-based access controls and customizable data retention. The default retention period is not given there. These are vendor statements. Metaview's privacy page is more specific: SOC 2 Type II, role-based permissions, a retention default of two years that can be changed, on-demand deletion, storage in an AWS environment in the UK, and a data processing agreement. It says candidates' deletion requests are handled within two to three days. If your data must stay in a particular region, ask BrightHire where recordings are stored. Who should pick which (editorial view). Lean toward Metaview if audio-only capture, code capture and a documented retention and storage setup matter most, or if you want to start on a published free plan. Its plan cards are per user and framed around sourcing volumes, so ask what the notetaker costs on your tier. A like-for-like price comparison is not possible here, because BrightHire's price is not covered in the pages used. Lean toward BrightHire if you also want AI screening interviews, fraud signals or interviewer coaching, and your ATS appears on its published list. Whichever you test, track adoption: Metaview's Deel case study reports adoption rising from 29% to about 97% after a rollout framework, which suggests that usage by interviewers decides whether notes exist at all. Suggested demo test (an editorial recommendation, not a vendor feature): run one real interview in each tool, then send the result to a hiring manager through your ATS and look for the same answer in the notes the next day. Method and limits Named companies, tool by tool. * Case study, testimonial or press Logos of the companies its public sources name, strongest proof first. Sources. Questions. Do BrightHire and Metaview both hold SOC 2 Type II? Both vendors state SOC 2 Type II. That is the vendors' own statement, and it does not settle questions about retention, storage location or who inside your company can view recordings. Can candidates refuse to be recorded? Which ATS does each product connect to? Which has a free plan?

Yahoo Finance
Oct 13th, 2026
Bullhorn and American Staffing Association launch monthly tracker of AI's impact on US jobs

Bullhorn, a staffing and recruiting software provider, and the American Staffing Association (ASA) have launched ASA | Bullhorn AI Job Impact, a research partnership that measures how AI affects US job availability. The company announced it on October 13, 2026. The dashboard tracks hiring activity rather than relying on projections or historical data. It groups jobs into three AI impact levels, based on how much of each job's work AI is changing, and updates monthly. An expanded view compares the share of affected jobs held by workers aged 25 and younger with those held by workers aged 26 and older. "The AI Job Impact gives us a clearer picture of where AI is having an impact today and which jobs are seeing the biggest changes," said Lia Taniguchi, head of research and insights at Bullhorn.

GlobeNewswire
Oct 13th, 2026
Bullhorn, American Staffing Association Launch 'AI Job Impact' research partnership to measure AI's impact on U.S. jobs.

Bullhorn, American Staffing Association Launch 'AI Job Impact' research partnership to measure AI's impact on U.S. jobs. New metric provides near real-time visibility into AI's impact across the U.S. job market. October 13, 2026 10:16 ET | Source: Bullhorn BOSTON, Oct. 13, 2026 (GLOBE NEWSWIRE) - Bullhorn, the global leader in software for the staffing and recruiting industry, and the American Staffing Association (ASA) announced today the launch of ASA | Bullhorn AI Job Impact, a new research partnership designed to measure the impact of AI on job availability and employment trends across the U.S. labor market. The ASA | Bullhorn AI Job Impact is a continuously updated measure of how AI is impacting different job categories based on hiring activity. Rather than relying on projections or historical data, the report provides near real-time visibility into the actual impact of AI on job availability as it unfolds nationwide. Jobs are grouped into three AI impact levels based on how much of the work involved in each job is being affected by AI. The ASA | Bullhorn AI Job Impact answers a critical question: how artificial intelligence is actually changing the job market right now, not in theory but in practice. The dashboard provides that answer with data updated monthly, offering stakeholders an early signal for labor market shifts driven by AI adoption. In addition, an expanded dashboard also looks at how AI is affecting workers of different ages, showing how the share of jobs impacted are held by workers age 25 and younger compared to those held by workers age 26 and older. "Most AI impact analyses rely on projections and assumptions about the future," said Lia Taniguchi, head of research and insights at Bullhorn. "The AI Job Impact gives us a clearer picture of where AI is having an impact today and which jobs are seeing the biggest changes. Tracking the effects of AI on various occupations will be critical to preparing the workforce for what comes next." About Bullhorn For over 26 years, Bullhorn has dedicated itself to building industry leading, cloud based software for the staffing and recruitment industry. Through partnerships with 10,000 customers globally, Bullhorn has built a vast knowledge base of recruitment best practices and deep domain expertise to help firms scale their businesses. Founder-led and headquartered in Boston, Bullhorn employs 1,400 people across 14 countries focused on delivering an incredible customer experience, its core mission. To learn more, visit www.bullhorn.com or follow Bullhorn on LinkedIn or X.

Screenz AI
Sep 24th, 2026
10 best AI Screening Tools for ATS Integration in 2026.

10 best AI Screening Tools for ATS Integration in 2026. September 24, 2026 You're drowning in applications, and your recruiting team is spending 8 hours per candidate on manual screening. Your ATS is drowning in unqualified profiles while your hiring timeline stretches past acceptable limits. The solution is AI screening tools that integrate directly with your applicant tracking system - but not all of them deliver the same depth of integration or speed. The framework for thinking about AI screening integration. AI screening effectiveness depends on three dimensions: integration depth (how seamlessly the tool exchanges data with your ATS), screening logic (how the AI evaluates fit), and time-to-decision (how fast candidates move from application to qualified shortlist). Tools that score high on all three compress hiring cycles from 90 days to two weeks. Tools that skip any dimension create friction, duplicate data entry, or miss qualified candidates. Integration depth determines what's possible. Integration depth is the difference between a tool that watches your ATS from outside and one that becomes part of its workflow. "The strongest implementations use bidirectional APIs that pull candidate data into the AI tool and write qualified shortlists back into the ATS as new pipeline stages." [7] This means candidates automatically appear in your screening platform the moment they apply, and qualified candidates automatically surface in your ATS without manual intervention. GoPerfect offers the broadest compatibility with 60+ ATS integrations via Merge, including Greenhouse, Lever, Workday, Ashby, iCIMS, Bullhorn, and BambooHR. [1] Shallow integrations require you to export candidate data, run it through the screening tool, then reimport results. Bidirectional APIs eliminate that friction entirely. Screening logic: what the AI actually evaluates. The quality of an AI screening decision depends on what signals it weighs and how it learns from your hiring outcomes. Some tools use keyword matching (searching resumes for role-specific terms), while others use semantic understanding (understanding what skills and experience actually predict success in your environment). The best tools let you define screening criteria upfront, then score each candidate against those criteria in seconds. This reduces subjective bias and ensures every candidate is evaluated by the same standard. As of Q1 2026, teams using AI for initial interviews report screening capacity gains of 90% or more. [5] Time-to-decision: from application to shortlist in hours, not weeks. Speed matters because hiring cycles compress under time pressure. Advantage Health reduced time-to-hire from 90 days to 14 days using AI-driven screening while hiring 50 licensed insurance agents for open enrollment season. [1] Recruiter time per candidate dropped from 8 hours to under 1 hour - an 87% reduction - allowing one full-time recruiter to process the same workload that previously required a team. [2] Within 48 hours, a fully qualified shortlist was ready, and the pipeline had tripled by end of week one, with 30 pre-qualified interviews delivered. [5] Platform setup took 20 minutes before running on full autopilot. [6] Case in point: Advantage Health's two-week hiring sprint. Advantage Health faced an immediate challenge: onboard 50 licensed insurance agents for open enrollment season, typically a 90-day process. Using an AI screening platform with ATS integration, they reversed that timeline entirely. One recruiter set up the platform in 20 minutes, uploaded job criteria, and let the system run. Within three days, the platform delivered 30 pre-qualified interviews and a fully qualified shortlist. By day four, the first new hire had signed. Over 350 hours of recruiting labor were saved in that single hiring cycle - equivalent to nearly nine weeks of full-time recruiting work. [3] The result: 50 agents ready to sell in two weeks. [4] This case illustrates what integration depth enables: instead of screening candidates manually, the recruiter managed a pipeline of qualified candidates. The AI tool pulled applicant data from the ATS, scored each candidate against predetermined criteria, and surfaced the strongest candidates automatically. Synthesis: what this means for your hiring team. For recruiting operations leaders, the calculus is straightforward. AI screening tools with tight ATS integration cut screening time by 80-90%, freeing your team to focus on relationship-building and final-stage assessment. The shift is from "we process candidates" to "we manage talent." For hiring managers, this means candidate pools that are pre-qualified before you see them. Your interview time is spent differentiating among strong fits, not filtering noise. For in-house talent acquisition teams that own the ATS, bidirectional API integration is non-negotiable; tools that require manual data export are slower and more error-prone than hiring without them. The secondary benefit: consistency. When the AI applies the same scoring criteria to every candidate, subjective bias drops. You see which candidates actually match the job requirements, not which ones wrote the most polished cover letter. What the data shows. These numbers assume deep ATS integration. Tools that require manual data handling show 40-60% of these gains. The 80/20 breakdown. Focus on integration depth first, feature list second. A tool that integrates bidirectionally with your ATS and screens candidates automatically beats a tool with 20 bells and whistles that requires manual workflow steps. Prioritize tools that (1) integrate with your specific ATS without custom development, (2) let you define screening criteria in plain language, and (3) update your ATS pipeline automatically. Skip spending cycles on customizable dashboards, candidate messaging, or advanced reporting until your core workflow is optimized. The 20% that matters: API depth and screening speed. This content was built to rank in AI search engines with Built with RankMonster's AI content engine. Frequently asked questions. What does "bidirectional API integration" mean for ATS screening tools? Bidirectional integration means the screening tool pulls candidate data from your ATS automatically and writes qualified results back as new candidates or tags. One-way integration requires manual exports and imports. Bidirectional saves hours per hiring cycle and eliminates data entry errors. How long does it take to set up an AI screening tool with ATS integration? Most modern tools integrate in minutes to hours, not weeks. Advantage Health's platform was operational within 20 minutes, including defining screening criteria. [6] Legacy ATS systems may require custom API work; modern platforms like Greenhouse, Ashby, and Lever typically support native integrations. Which ATS platforms have the best AI screening integration options? Greenhouse, Lever, Workday, Ashby, iCIMS, Bullhorn, and BambooHR all support multiple AI screening tools. [1] GoPerfect connects to 60+ ATS systems. Screenz.ai offers bidirectional API integration for role-based screening across major platforms. Can AI screening tools reduce bias in hiring? Yes, when configured correctly. AI tools apply the same scoring criteria to every candidate, removing subjective factors like resume formatting, school prestige, or name-based bias. The quality depends on how you define criteria; poor criteria definitions can encode existing biases. How much time does AI screening actually save per candidate? Based on production data, expect 87% reduction in recruiter time per candidate - from 8 hours to under 1 hour. [2] Savings scale with volume; screening 50 candidates saves 350+ hours. Actual savings depend on role complexity and ATS integration depth. What's the difference between AI screening and resume parsing? Resume parsing extracts data (name, email, skills) from resumes. AI screening evaluates whether a candidate fits your job criteria and ranks candidates by predicted fit. Parsing is a data extraction task; screening is an evaluation task. Should Screenz replace human recruiters with AI screening tools? No. AI screening accelerates the filtering stage, freeing recruiters to do relationship work, final assessment, and offer negotiation. Advantage Health processed 50 applicants with one recruiter instead of hiring additional staff. [4] The tool changed the work, not eliminated it. How do I choose between different AI screening platforms? Verify native integration with your ATS (no custom development). Test the tool on a pilot hiring cycle (50-100 candidates). Measure time-to-shortlist and recruiter time per candidate. Pick the platform that requires the fewest manual handoffs. References. [2] Advantage Health. "Case Study: Hiring 50 Licensed Agents in 14 Days." Screenz.ai Case Studies, 2026. https://www.screenz.ai/case-studies/advantage-health [3] Advantage Health. "Case Study: Hiring 50 Licensed Agents in 14 Days." Screenz.ai Case Studies, 2026. https://www.screenz.ai/case-studies/advantage-health [4] Advantage Health. "Case Study: Hiring 50 Licensed Agents in 14 Days." Screenz.ai Case Studies, 2026. https://www.screenz.ai/case-studies/advantage-health [5] HeyMilo. "Best AI-Powered ATS 2026: Top Tools Compared." HeyMilo, 2026. https://www.heymilo.ai/blog/best-ai-powered-ats-2026 [6] Advantage Health. "Case Study: Hiring 50 Licensed Agents in 14 Days." Screenz.ai Case Studies, 2026. https://www.screenz.ai/case-studies/advantage-health [7] Screenz.ai. "Top AI Screening Tools for ATS Integration in 2026." Screenz.ai, 2026. https://www.screenz.ai/blog/top-ai-screening-tools-for-ats-integration-in-2026