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Sponsored by ExponentAre 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 !
Our vision
We aim to become the most beloved financial Operating System of French SMEs (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.
About us
Pennylane is one of the fastest growing Fintechs in France (and soon to be in Europe!)
In 4 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 €150 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 550+ 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 350,000 small and medium-sized enterprises (SMEs) and over 4,500 accounting firms use Pennylane in France!
WHY this position is of utmost importance to reach our mission
At Pennylane, every decision that is not backed by data is likely to be challenged (when data is available of course). 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 Engineer, you will have a pivotal role in large projects, bringing your engineering and machine learning expertise to help us meet our high delivery standards.
HOW you will contribute to the company as a Machine Learning Engineer
As a Machine Learning Engineer, you will be part of the Machine Learning team (5+ people), inside the Data department (25+ people).
- You will implement machine learning solutions and tools across the entire ML lifecycle, from model training and tuning to deployment, inference, experimentation and monitoring.
- You will contribute to parts of our Data Platform in order to feed machine learning applications in production.
- You will work closely with Machine Learning Scientists and Data Engineers to enable ML applications at scale.
- You will collaborate with Product teams to guarantee smooth planning and delivery of ML solutions in our application.
WHAT you can expect from your life at Pennylane
Within one month:
- You will learn everything about our company, our teams, and our vision during the first onboarding week.
- 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.
Within 3 months:
- You will be fully in charge of items in our roadmap, defining and prioritizing your tasks autonomously.
- You will be confortable with our technical stack (Python, PySpark, Redshift, Airflow, AWS Sagemaker).
- You will contribute to larger cross-team projects.
Within 6 months:
- You will proactively contribute to the team’s roadmap.
- You will work with engineers and data practitioners on improving our stack and data platform.
- You will share your learnings and best practices within the team.
And beyond: the data team will continue growing with the company
Which means:
- Opportunities to recruit and mentor 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.
What does the recruitment process look like?
- 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)
- An interview with our Tech & Product leaders to discuss our company culture
We make sure we move fast; you can expect the recruitment process with us to last between 15 and 25 days in total.
