Machine Learning Manager

Are you looking to have an impact on the daily life of millions of entrepreneurs in France (and tomorrow in Europe)?

Are you looking for a work environment that values trust, proactivity, and autonomy?

Are our Engineering principles aligned with your vision?

Then Pennylane is the right place for you !

We aim to become the most beloved financial Operating System of French SMEs and Accounting Firms (and soon, European ones).

We help entrepreneurs rid themselves of time-consuming tasks related to accounting and finance while providing them with access to key financial information to assist in making the best decisions for their business.

Pennylane is one of the fastest growing Fintechs in France (and soon to be in Europe!)

In 5 years of existence, we’ve managed to :

💻 Make ourselves known as a groundbreaking accounting and financial software for small businesses and their accountants

💰 Raise a total of €400 millions, including from Sequoia, the famous fund from the Silicon Valley who invested early in companies like Google, Facebook, Airbnb, Stripe, Paypal and much more...

👨‍👩‍👧‍👦 Grow from 7 cofounders to 1000 happy Pennylaners : we’re now recognized as one of the greatest places to work in France (and also remotely), with a 4.6/5 rating on Glassdoor.

🌍 Build an international environment with more than 25 nationalities, with a strong remote-friendly culture, where 30% of the employees are already working from all parts of Europe

🤝 Earn the trust of thousands of customers and accounting firms and obtain outstanding ratings

🚀 Already more than 800,000 small and medium-sized enterprises (SMEs) and over 6000 accounting firms use Pennylane in France!

At Pennylane, data drives decisions. This culture is embraced by the leadership team, and actively promoted everywhere. The role of the data team is to make this possible by treating data like a production asset, making it available company-wide, and using it proactively to improve Pennylane’s user experience.

By joining us as a Machine Learning Manager, you will have a pivotal role in large projects, bringing your engineering and machine learning expertise to help us meet our high delivery standards.

As a Machine Learning Manager, you will lead a team of Machine Learning Engineers & Data Engineers (5 people), inside the Machine Learning & AI function (15+ people) in our Data department (50+ people).

- You will contribute technically to the design and implementation of machine learning solutions and tools across the entire ML lifecycle, from model training and tuning to deployment, inference, experimentation and monitoring.

- You will collaborate with Product Managers to ensure the highest impact and quality of machine learning work for our users, as well as the best atmosphere and motivation in the team.

- You will grow your team continuously, and team up with other managers to set up the right culture and processes to enable people.

- You will work closely with data engineers and software engineers to quickly deploy end-to-end solutions with a direct impact on our users, and improve our machine learning ecosystem.

- You will learn everything about our company, our teams, and our vision during the first onboarding week.

- You will get to know your team and start taking over people and technical topics.

- You will get familiar with our stack, and have delivered a few small projects which will give you a concrete taste of our tools & processes.

- You will be given time to meet your future stakeholders, and gain a deep knowledge of our product and operations.

- You will be fully in charge of your team.

- You will be accountable for items in our roadmap, defining and prioritizing team work autonomously.

- You will be comfortable with our technical stack (AWS, Terraform, streaming, batch, scheduling, warehousing).

- You will be involved in cross-team management initiatives.

- You will collaborate closely with Product and Tech teams to steer the team’s roadmap.

- You will work with engineers and ML practitioners on improving our platform.

And beyond: the data team will continue growing with the company

Which means:

- Opportunities to recruit, mentor and manage new team members,

- Increased accountability in project leadership,

- Responsibilities to design and implement new processes, tools and best practices to make sure that your team works even more efficiently.

- A first interview with our Talent Acquisition Manager

- A case study interview to discuss a topic closely related to one of our priorities (75 min)

- A past project interview to hear about your experience (60 min)

- A management interview (45 min)

- An interview with our Tech & Product leaders to discuss our company culture

🌴 Wherever you are based, you will get 25 vacations days paid by Pennylane

💵 You’ll have a competitive compensation package

📈 You'll get company shares to enjoy a piece of the success story you're building with us

🏡 You’ll have a budget to turn your home into a more comfortable workspace, as well as a monthly allowance to work from a coworking space whenever you feel like it

⛹️ Through our partner Gymlib, you’ll have access to 8000 fitness spaces in Europe and more than 300 activities related to wellness

🇬🇧 You’ll have access to Busuu to perfect your English or your French

💻 You’ll get the latest Apple equipment

🏢 Depending on the teams and the requirements of the position - you'll be able to work remotely from your country of residence, as long as it is in Europe and within a maximum time difference of two hours from the CET time zone

🎉 We are committed to regularly coming together for company events such as Tech Days (which bring remote Pennylaners together every 3 months) or our annual company seminar, fostering significant moments of cohesion for everyone.

If you are based in France, you will have a French contract following French regulation on top of the additional perks : 6 to 12 RTT, 5 weeks PTOs, lunch credits (Swile), Alan Blue healthcare cover and regular events in cities where Pennylaners are mostly presents (Lyon, Bordeaux, Nantes…)

To thrive at Pennylane, you need :

-To speak English (level is assessed and appreciated according to the department you’re applying to)

-To be energized by an ever-shifting work environment

-To be highly collaborative (within your team or other stakeholders)

-Sufficiently experienced to prioritize business-led actions on your day to day activity

We know that some people are less likely to apply than others, if they don’t feel like they meet the full list of criteria.

If you’re hesitating, we encourage you to apply : who knows, it might be the start of a meaningful and long-lasting collaboration.

Recruitment scam attempts are on the rise. We invite you to remain vigilant during your exchanges.

Applications through official channels only : apply exclusively through our job postings published on our official platforms (career site, official partner pages).

Always verify the sender's email address: our communications are sent from professional email addresses with the domains @pennylane.com or @pennylane-partners.com

(bank details, payment for an interview, equipment purchases, etc.) as part of the recruitment process. If such a request is made to you, it is fraudulent. We invite you to not respond and to report it to us immediately.

We also want to emphasize that we fully embrace diversity, equity and inclusion and that we’re doing our best to create a safe and inclusive environment.

We are committed to providing an equal employment opportunity regardless of gender, sexual orientation, origin, disabilities, or any other traits that make you who you are. If anything, diversity makes us a more fun place to work at.