Machine Learning Manager
Role details
Job location
Tech stack
Job description
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., 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., * 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Requirements
Do you have experience in Terraform?
Benefits & conditions
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 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