Talent Acquisition Partner – Deep Tech, Start-Up (Paying up to £60,000) in City of London

Job description

Talent Acquisition Partner – Deep Tech Start-Up

Location: London (2-3 days per week in office)

Salary: Up to £60,000 + Stock Options

Hawkwood are currently partnering with an early-stage, Deep Tech start-up who are tackling one of the most crucial challenges in AI today.

Founded by a serial entrepreneur, and the creator of a technology now powering one of the worlds largest technology businesses, this company has assembled one of the most impressive teams from leading start-ups and FAANG organisations. As they emerge from stealth mode and move towards commercial scale, they’re building a world-class team to help shape the next chapter of growth.

About the role:

As a Talent Acquisition Partner, you will play a key role in scaling the business while also getting the opportunity to broaden your skillset into People Operations. This is a high-impact, hands-on role that blends tech recruitment with the opportunity to grow within People Operations - an ideal opportunity for someone who sees their long-term career in People and Culture.

You’ll work closely with hiring managers across technical and non-technical teams, support company-wide talent initiatives, and play a central part in delivering a standout candidate and employee experience. This is a fast-paced role in a supportive environment that values ownership, creativity, and high standards.

Key Responsibilities:

Talent Acquisition – Tech Focus

• Source and engage top tech talent across Engineering, Product, and Applied Science by executing targeted sourcing strategies that attract high-quality candidates,
• Support scheduling and coordination for interviews, including candidate communications and feedback loops.
• Partner with hiring managers to define requirements and deliver an exceptional candidate experience.
• Conduct initial screenings to make recommendations based on the candidates' skills, experience and alignment with company principles.
• Drive creative outreach campaigns and build talent pipelines using LinkedIn and other platforms.
• Support employer branding initiatives and EVP projects.
• Support ATS migration and implementation projects (e.g. Testing workflows, migrating data, updating templates)

People Operations

• Prepare contracts of employment for new joiners
• Conduct right-to-work checks and support pre-employment compliance
• Deliver smooth onboarding experiences in collaboration with EA/Office Manager, e.g.first-day comms, systems access, and culture touchpoints.
• Support with maintaining data integrity across all people, systems and documentation.

About you:

• Hands-on sourcing experience across Engineering, and ideally Machine Learning and Product.
• 2 - 3 years of experience + in-house Talent/People Operations role (ideally within a tech startup/scale up or agency with a strong tech focus)
• Detail-oriented and highly organised, with exceptional communication skills, written and verbal.
• Interested in building strong candidate and employee experiences.
• Comfortable using tools like Slack, GSuite, LinkedIn Recruiter & GitHub
• Team player – willingness to “muck in” and help colleagues

We recognise how challenging this current job market is for candidates, and Hawkwood are therefore striving to provide the best candidate experience we can.

If you are interested in this opportunity, we kindly request that you apply via this LinkedIn advert, as opposed to sending us an email or LinkedIn direct message. We are eager to ensure that each candidate application is considered fairly, and receives a consistent experience. Unfortunately, we cannot ensure this standard if you enquire about a role via email or LinkedIn message, as it falls outside of our established process.

Extra information

Status

Open

Education Level

Secondary School

Location

City of London

Type of Contract

Part-time jobs

Published at

17-07-2025

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English