Technical Recruiter, Giskard AI
€50-65k
+ 0.1% of Equity
1-3 days a week in office
Testing platform for securing LLM agents
Job no longer available
Testing platform for securing LLM agents
21-100 employees
Job no longer available
€50-65k
+ 0.1% of Equity
1-3 days a week in office
21-100 employees
Company mission
To continuously test LLM applications to prevent hallucinations & security issues.
Role
Who you are
- Minimum of 5 years of experience in technical recruiting for Data / AI / Cybersecurity / DevTools companies
- Proven track record inspiring & convincing rare technical talent (ML Researchers, Data Scientists, ML Engineers, Technical Sales) to join a startup
- Ability to successfully navigate a fast-growing startup environment with changing processes
- Impeccable written and oral proficiency in English. Strong bonus for French speaker
- Ability to work independently and simultaneously on multiple positions
- Drive to learn, grow and improve fast in an entrepreneurial way
- Passionate about going from 0 to 1, fast
- Driven by outstanding customer journeys
- Hungry to learn new skills every day
- Curious about the tech industry and its role in our society
- Empathetic team player
What the job involves
- As a Technical Recruiter, you will be in the driving seat to accelerate the growth of Giskard by hiring the best AI talent on the planet to build the best "safety belt" for AI models
- Source, screen, and assess talent, ensuring their qualifications match the open roles
- Partner closely with co-founders and other hiring managers to strategically plan hiring across multiple teams and coordinate the overall hiring pipeline
- Develop strategies to build and fill our hiring pipelines for roles of varying complexity, while hiring at a high volume
- Write job descriptions and define application processes in liaison with hiring managers
- Manage relationships with hiring partners (agencies, sourcing platforms) and hiring tools (Workable, Welcome)
- Enhance our visibility on hiring platforms, social media and events, in relationship with our marketing team
- Enhance our recruitment process through revamping interview practices, training teams and optimizing our tools & automation
- Define new employee onboarding processes in partnership with co-founders & hiring managers
- Continuously analyze our hiring pipeline metrics to identify hiring trends and gaps, and optimize our process quality and velocity
- Keep up-to-date with the latest trends in recruiting strategies and market trends in the AI space
Application process
- You can get an offer in 4 weeks
- Fit interview: 15 minutes
- Case study: 10 days to complete
- Case study debrief: 45 minutes
- Reference calls: 2 persons
- Final interview: 45 minutes
Our take
Giskard was created when its founders saw difficulties with AI projects because of misunderstandings from business stakeholders and a lack of robustness of the AI workflow. To address this, the company makes it easier to monitor AI models and get actionable alerts.
This includes solving problems around monitoring, such as “dashboard fatigue” where people pay less attention to monitoring after it has been deployed for a while. Giskard has a wide user base, including mature organisations who set up rolling on-call schedules for their engineers and invest in debugging tools to solve issues faster.
The company has secured major clients such as L'Oreal, Webedia and Continuity. And has also raised considerable funding that will aid the commercialisation of its offering, sustained hiring efforts, and the investigation of new fields including computer vision, time series, and generative AI.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Mar 2023
$2.9m
GRANT
Dec 2022
$1.8m
SEED
Total funding: $4.7m
Company benefits
- Remote-flex working models
- Remote office kit including MacBook computer, external monitor, keyboard, mouse, etc.
- Equity package
- Health insurance (SideCare)
Company HQ
Saint Vincent de Paul, Paris, France
Leadership
Alex Combessie
(Co-Founder & Co-CEO)Previously a Data Scientist for Capgemini. Held a number of roles related to data science and software engineering at Dataiku.
Dr Jean-Marie John-Mathews
(Co-Founder & Co-CEO)Previously a University Lecturer at Université Paris Dauphine, Sciences Po and Aivancity School for Technology, Business and Society.
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