Job Specifications
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 !
Our vision
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.
About Us
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 900,000 small and medium-sized enterprises (SMEs) and over 6000 accounting firms use Pennylane in France!
WHY this position is of utmost importance to reach our mission
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.
HOW You Will Contribute To The Company
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.
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 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.
Within 3 months:
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).
Within 6 months:
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.
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)
A management interview (45 min)
An interview with our Tech & Product leaders to discuss our company culture
What do we do to make your work life easier
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About the Company
Pennylane is building the financial OS (Operating System) for European SMEs. A single source of truth for financial and accounting data, used on one side by entrepreneurs to run their business (invoicing and getting paid, paying suppliers and expense management, piloting cash and profitability) and on the other side by their accountant for bookkeeping and tax filings.
Saving time to all entrepreneurs and accountants, helping them to make the right decisions and enabling 3rd parties to offer added-value personalized financia...
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