hackajob’s cover photo
hackajob

hackajob

Software Development

AI agents for job seekers and employers—making hiring easier, faster and fairer.

About us

hackajob has the AI hiring tools trusted by enterprises, scale-ups, and 1M+ tech professionals worldwide. Job ads don’t tell the whole story. hackajob captures every nuance to connect companies with real, engaged tech talent, aligned to the *actual* hiring brief. No ghosting. No noise. No irrelevant outreach. From Software Engineers and Cloud specialists to Product and Data experts, AI agents match job seekers based on real skills and preferences — not just keywords. They stay in control, choosing to privately accept or decline opportunities. The result? 70,000 candidates connected to relevant opportunities each month. 8x better conversion than direct applications. 68% fewer interviews to make a hire.

Website
https://www.hackajob.com
Industry
Software Development
Company size
51-200 employees
Headquarters
London
Type
Privately Held
Founded
2014
Specialties
Tech Recruitment, Graduate Recruitment, Disruption, Recruiting, and AI Recruiting

Products

Locations

  • Primary

    hackajob, 2nd Floor

    63 Gee Street

    London, EC1V 3RS, GB

    Get directions
  • 287 Park Avenue South

    7th Floor

    New York City, New York NY 10010, US

    Get directions
  • Solomons building

    37 Sfantul Lazar Street

    Iasi, Iasi 700049, RO

    Get directions

Employees at hackajob

Updates

  • Preparing for coding tests or technical rounds? This guide has everything you need. It covers: 🧩 Assessment formats and how to prep for each 👂 What companies really assess 🧠 The topics that matter most 🎯 Practical tips for interview day We also included links to our role-specific guides for frontend, backend, system design and more. 👉 Read the full guide: https://lnkd.in/dy_3YMXs

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  • Misalignment is one of the biggest blockers in hiring, and it often starts in the brief. In our recent conversation, we looked at how conversational AI can strengthen this stage by removing ambiguity, capturing real context and giving teams a clearer, more accurate foundation to build on throughout the hiring process. 👉 Read the full blog here: https://lnkd.in/d42uAXwj or watch the episode on YouTube: https://lnkd.in/d3_PZHSe

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  • 📊 Most TA dashboards tell the wrong story. It’s time to measure what really matters. Join Melissa Thompson (Ford), Danny Caines (Babcock International Group) and Sam Berthoud (hackajob) as they unpack how TA teams can redefine success in 2026. 💡 💡 From quality over quantity to turning TA data into business impact, this session is for leaders who want to move from reporting numbers to driving outcomes. 📅 Nov 19 | 3:00 pm GMT / 10:00 am EST 🎥 Register below

    The metrics that actually matter: Redefining TA’s value in 2026

    The metrics that actually matter: Redefining TA’s value in 2026

    www.linkedin.com

  • This week, we’d love to spotlight one of the incredible teams hiring through hackajob: Babylist 💚 When Babylist set out to grow their engineering teams, they weren’t just looking for more candidates. They were looking for the right people, the ones who align with their mission, move fast, and bring genuine craft to their work. Like many scaling companies, they faced a familiar challenge: too many applicants, too little time, and not enough quality where it counts. Their goals were clear: ✨ Reduce unproductive top-of-funnel activity 🚀 Improve progression rates across interviews 💡 Hire great people faster That’s where hackajob came in. Together, we’re building a more focused and efficient hiring process, connecting Babylist with highly relevant engineers and helping their team spend more time with the candidates who truly fit. We’re excited to see the impact this partnership will have as Babylist continues to grow and build the future of parenting tech.

  • The Illusion of Thinking: How AI in Recruitment Risks Flattening What Makes Hiring Human Two of the best thinkers in our space come together for this episode that goes against the grain with Matt Buckland and Hung Lee Topics We’ll Cover: Why much of AI in recruitment today is a solution in search of a problem. How the pressure to adopt AI tools creates guilt among practitioners, even when businesses aren’t ready. Great recruitment is idiosyncratic, not homogeneous. The risk of training AI on average data — leading to AI slop that pushes average candidates and filters out outliers. Why flattening nuance removes the ability to surprise, delight, or differentiate. The danger of treating recruitment as a transactional, administrative process vs a human-centered, high-impact function. AI as a force for homogenisation – efficient, but not effective for complex or strategic hires. The double standard: we criticise candidates for using AI tools, while recruiters rely on them blindly. Where trust becomes central: trust in the data, trust in the tools, trust in the people. Where AI can be useful: with intentional design and focused problem-solving (e.g. solving for volume, low-variance hiring). This episode won’t be about AI worship or bashing—it’s about nuance, critical thought, and practical implications for recruiters and orgs navigating this shift.

    The Illusion of Thinking: How AI in Recruitment Risks Flattening What Makes

    The Illusion of Thinking: How AI in Recruitment Risks Flattening What Makes

    www.linkedin.com

  • We’re live today 🎙️ Join Hung Lee, Matt Buckland and Sam Berthoud for a candid chat about where AI helps, where it hurts, and why people remain at the heart of great hiring. Register below 👇

    View organization page for hackajob

    161,741 followers

    The Illusion of Thinking: How AI in Recruitment Risks Flattening What Makes Hiring Human Two of the best thinkers in our space come together for this episode that goes against the grain with Matt Buckland and Hung Lee Topics We’ll Cover: Why much of AI in recruitment today is a solution in search of a problem. How the pressure to adopt AI tools creates guilt among practitioners, even when businesses aren’t ready. Great recruitment is idiosyncratic, not homogeneous. The risk of training AI on average data — leading to AI slop that pushes average candidates and filters out outliers. Why flattening nuance removes the ability to surprise, delight, or differentiate. The danger of treating recruitment as a transactional, administrative process vs a human-centered, high-impact function. AI as a force for homogenisation – efficient, but not effective for complex or strategic hires. The double standard: we criticise candidates for using AI tools, while recruiters rely on them blindly. Where trust becomes central: trust in the data, trust in the tools, trust in the people. Where AI can be useful: with intentional design and focused problem-solving (e.g. solving for volume, low-variance hiring). This episode won’t be about AI worship or bashing—it’s about nuance, critical thought, and practical implications for recruiters and orgs navigating this shift.

    The Illusion of Thinking: How AI in Recruitment Risks Flattening What Makes

    The Illusion of Thinking: How AI in Recruitment Risks Flattening What Makes

    www.linkedin.com

  • View organization page for hackajob

    161,741 followers

    Join us live with:   Celinda Appleby, Director of Employee Experience at Visa   Zak Ahmed, Talent Acquisition Manager at Leonardo   Sam Berthoud , VP of Talent Solutions at hackajob We’ll dig into how leading TA teams are balancing speed, authenticity, and trust when attracting technical talent. What we’ll cover: Candidate validity: AI-assisted applications, eligibility and clearance—how to verify skill and intent without slowing hiring. Healthy funnels: why high application numbers don’t always mean success, and how to engage the right (often passive) audiences. Brand messaging that lands: moving beyond generic EVPs to honest, role-specific “give/get” promises. Networks that work: how alumni, employee ambassadors, and niche marketplaces drive relevance over noise. Trust in an algorithmic age: transparency as your strongest differentiator.  Thursday, October 23rd  3:00 PM BST | 10:00 AM ET

    Attracting the 'right' candidates in the age of AI

    Attracting the 'right' candidates in the age of AI

    www.linkedin.com

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Funding

hackajob 6 total rounds

Last Round

Series B

US$ 25.0M

See more info on crunchbase