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Future Secure AI

Technical Sourcer

Future Secure AI

Sydney, New South Wales, Australia · પૂર્ણ સમય

અરજી કરનારા સૌ પ્રથમ બનો

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ઓપનિંગ્સ
1
પોસ્ટ કર્યું
15 કલાક પેહલા
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ઓફિસમાં
લાયકાત
Candidates with a background in sourcing or recruitment for technical or engineering roles, strong direct-sourcing ability, technical literacy, and an interest in AI are encouraged to apply. This opportunity is based in Sydney and is intended for applicants who can work onsite/hybrid as required. R…
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About the company

Future Secure AI is developing new solutions at the edge of artificial intelligence, supporting global enterprises across several industries. The organisation values courage, rigour and curiosity, and describes its leadership as entrepreneurial, seasoned and approachable, with a culture that emphasizes growth, impact and direct access to decision-makers.

About the role

Future Secure AI is hiring a Technical Sourcer in Sydney to help scale specialist technical hiring. This role focuses on uncovering high-quality passive talent, especially people who are not actively job-hunting, and building strong pipelines across machine learning, data science, platform engineering, software infrastructure and data engineering.

You will work closely with engineering leaders and hiring managers to understand technical needs, shape sourcing plans, and reach candidates through thoughtful, technically informed outreach. The role sits at the top of the hiring funnel and requires comfort with reading GitHub profiles, research publications and other technical signals to identify the right people early.

Key responsibilities

  • Find and engage specialist technical talent, including senior engineers, researchers and other hard-to-reach technical professionals.
  • Use advanced sourcing methods such as boolean and x-ray search to identify passive candidates on LinkedIn, GitHub, Stack Overflow, research communities and conference networks.
  • Build and maintain talent pipelines for difficult and repeat hiring needs.
  • Work with engineering and research hiring managers to clarify role requirements and define what strong candidates look like.
  • Create personalised outreach that is technically credible and tailored to the audience.
  • Hold early conversations to assess motivation, confirm broad technical fit and keep candidates warm.
  • Map competitor AI labs, engineering organisations and research institutions to understand where talent sits in the market.
  • Interpret indicators such as open-source work, publications, conference participation and technical writing to spot high-calibre candidates.
  • Share market intelligence with recruiters and hiring managers, including talent supply, compensation context and emerging skill areas.
  • Coordinate closely with the TA team to prioritise searches and manage work sequencing.
  • Keep search records accurate, pipelines well organised and handovers smooth.
  • Use LinkedIn Recruiter, Greenhouse and other sourcing tools effectively.
  • Track outreach and conversion data, then use those insights to improve search strategy.

What we are looking for

The ideal candidate is highly comfortable sourcing niche technical talent in a fast-moving AI environment. This includes a strong grasp of technical roles and concepts, disciplined research habits, persistence on difficult searches and the ability to bring structure where processes are still evolving. Strong communication skills and genuine interest in artificial intelligence are also important.

Required qualifications

  • At least 3 years of experience in sourcing or recruitment, with emphasis on technical or engineering hiring.
  • Proven success finding and engaging passive specialist candidates through direct sourcing.
  • Ability to use advanced search methods, including boolean and x-ray search, across platforms such as LinkedIn, GitHub and Stack Overflow.
  • Sufficient technical understanding to read briefs, profiles and signals accurately and speak credibly with technical candidates.
  • Ability to manage several searches at once while staying organised.
  • Excellent written communication and a track record of outreach that earns responses.

Preferred experience

  • Background sourcing for machine learning, research, infrastructure or data roles.
  • Familiarity with the AI or deep-tech talent market.
  • Experience evaluating technical indicators such as open-source contributions, publications or conference involvement.
  • Working knowledge of LinkedIn Recruiter and an ATS such as Greenhouse.
  • Interest in artificial intelligence and its practical use cases.

Why join Future Secure AI

  • Work in a high-performance environment.
  • Use advanced, state-of-the-art technology.
  • Learn from experienced and accessible leadership.
  • Contribute to meaningful work with real scale and purpose.
  • Access competitive pay and strong growth potential.
  • Collaborate with top talent in the industry.
  • Enjoy a flexible hybrid work setup.
  • Be part of a diverse and creative workplace.

Additional information

The company does not want to be contacted by recruitment agencies, and hiring is handled internally. Candidates are asked to express interest by submitting a resume through the company website.

Privacy and data use

Future Secure AI states that it follows the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Its privacy policy explains how personal data is collected, used, shared and protected when visitors use the company website and services.

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