Giskard defends the vision of a Responsible AI that serves the economic performance of companies while respecting the rights of citizens. To embody this mission, Giskard enables AI professionals (Data Scientists and Machine Learning Engineers) to evaluate & test the quality of ML models.

We are building the first collaborative & open-source Quality Assurance platform for all ML models. We already empower customers with two solutions:

1. The Giskard Python library helps Data Scientists detect hidden vulnerabilities in ML models.

It makes the AI development process more efficient, by automating the identification of risks of biases, performance issues and errors.To try it, see this documentation.

2. The Giskard Hub helps ML Engineers debug & monitor models, share dashboards, and collaborate

It makes the deployment of new ML models safer and more efficient, by providing ready-made monitoring dashboards, catalogs of re-usable testing components, and ML debugging interfaces. Install it following this documentation.

Track record

We recently raised our first round of 1.5 million euros, led by Elaia, with participation from Bessemer Venture Partners and notable angel investors. To read more about this fundraising and how it will accelerate our growth, you can read our announcement.

We also received a strategic investment from the European Commission to build a SaaS platform to automate compliance with the upcoming EU AI regulation. You can read more here.

Last November, Giskard was featured in TechCrunch!

Your role

As a Product Manager, you will be in the driving seat to ensure the Product Market Fit of Giskard directly with Giskard's Chief Product & Science Officer, your missions will be to:

• Develop a deep understanding of user needs.
• Prioritize and manage the product roadmap.
• Collaborate with cross-functional teams, including engineering, design, sales, and marketing, to bring the product to market.
• Continuously measure and analyse product performance, and use data to inform future product decisions.
• Stay up-to-date with industry trends and technology advancements.

Requirements

Skills

• Technical knowledge: A solid understanding of AI and technical constraints involved in building AI products, and the ability to communicate effectively with technical team members. We exclusively recruit previous data scientists and machine learning engineers.
• Product development: Experience in agile product development, including defining user stories, writing clear and concise product requirements, and collaborating closely with designers and developers.
• Data-driven decision making: Ability to leverage data to make informed product decisions, using metrics such as user engagement, conversion rates, and customer feedback to inform product development.
• Cross-functional collaboration: Strong communication and collaboration skills to work effectively with cross-functional teams, including engineering, design, sales, and marketing, to bring the product to market.
• Adaptability and agility: A flexible and adaptive approach to work, able to pivot quickly in response to changing market conditions or customer needs.
• Impeccable written and oral proficiency in English. Strong bonus for French speaker.
• Ability to learn & deliver fast, with the desire to complete assignments autonomously

About you

• 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

Recruitment process

You can get an offer in 4 weeks 🚀

• Fit interview: 15 minutes
• Technical exercise: 10 days to complete
• Technical interview: 45 minutes
• Reference calls: 2 persons
• Final interview: 45 minutes

Benefits

We value diversity, equity, and inclusivity. Giskard is an equal-opportunity employer. We do not discriminate based on race, religion, color, origin, gender, sexual orientation, age, marital status, veteran, or disability status.

We are remote-flex. We value productivity and work/life balance. You can adopt a hybrid work schedule where you come to the office 1-3 days / week. You can also work from other regions/countries on an occasional basis - just let us know beforehand.

We offer a remote office kit to all full-time employees: a powerful MacBook computer, external monitor, keyboard, mouse, etc. We also offer the best health insurance plan in France, Alan Blue. In terms of benefits, we also offer Swile meal cards and Gymlib membership for sport & well-being.

All full-time employees are granted a significant equity package. We want to include everyone in the adventure and make it a collective win.

Salary: between 50 000 € and 65 000 € / year (brut) + 0.1 - 0.2% of equity.