Machine Learning Engineering Manager, Adyen
Credit & Underwriting
$212-293k
Plus RSUs
Payments platform built to grow businesses
Be an early applicant
Payments platform built to grow businesses
1001+ employees
Be an early applicant
$212-293k
Plus RSUs
1001+ employees
Company mission
To make payments choices easy for merchants.
Role
Who you are
- We’re looking for an enthusiastic, self-driven Engineering Manager to lead the Credit Risk Modeling team
- You have proven experience working with, and deep understanding of machine learning products
- You are an energetic self-starter experienced in creating alignment between multiple teams
- You are able to define, implement and monitor performance to quickly identify opportunities for improvement in existing systems
- You have experience in coaching and mentoring engineering talent
- You have experience in leading technical projects in a fast paced and critical environment
- You have experience collaborating with senior leadership to set strategic direction including product roadmaps
- You are an excellent communicator and team player who can inspire others around them
- You can clearly communicate technical concepts to non-engineers
- 2+ years experience in managing machine learning engineering teams within a mission-critical environment
- 7+ years of experience in a ML/AI tech environment
- Experience with Credit Underwriting
What the job involves
- The Financial Products org at Adyen is at the forefront of our evolution, building the foundational infrastructure that enables our customers to manage their finances, issue cards, and access credits and financing globally
- Adyen is building a Machine Learning Engineering team in San Francisco focused on Credit Risk Modeling for Underwriting within Financial Products. This team will develop the models, scorecards, and production systems that enable Adyen to scale its credit products 100x
- You will lead the team that design, productionize, and operate machine learning models and rule-based decision systems that power credit products. Your team will work across the full model lifecycle, from research and data analysis to training, deployment, monitoring, and continuous improvement
- As an Engineering Manager, you will build, mentor, and coach a diverse and talented team of machine learning scientists and data engineers. You should be comfortable streamlining the team's engineering operations, refining product requirements together with product and merchants and encouraging effective collaboration
- As a critical role in the continued success of our organization, you will help to iterate our culture and build an amazing team environment that will create future leaders for Adyen
- Lead the Credit Risk Modeling team with hands-on technical leadership, driving architecture strategy and raising the bar through active mentoring and technical guidance
- Work cross-functionally with Design, Product, Data Engineers, Product engineers, Credit Ops and other key stakeholders
- Have a multiplier effect by motivating team members and providing coaching in areas including but not limited to: engineering best practices, scalable architecture design, product roadmap discussions
- Maintain an inclusive team culture focused on autonomy, ownership, collaboration, communication, and impact
- Collaborate with different teams to design and implement new pipelines/services with reliability/infra/data/dev in mind
- Set clear individual and team goals that align with our strategic engineering ambitions in close collaboration with the product manager
- Create an inspiring and collaborative team environment with an open communication/feedback culture
- Recruit new team members who align with the Adyen culture and required skills
Application process
- We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role
Our take
Adyen has been one of the most successful businesses in Europe over the last decade. When it went public in 2018 at a valuation of €7 billion, it raised over €1 billion and its share price popped on the first day, resulting in a valuation of €14 billion. And its valuation has continued to climb in the years since.
Adyen competes with large players like PayPal, as well as outsized startups like Stripe, to power payments and provide other infrastructure to conduct digital transactions. Disrupters in the field have been buoyed by a strong rise in eCommerce activity, where some or all of a transaction by a customer is made either online or by mobile.
Adyen has been one of the companies riding the wave by helping interested businesses to choose and then implement online payments - without the usual hoops to step through. Notable partners have included Autocanteen, a touchless self-checkout solution for the hospitality industry, and BILL, a small business-focused fintech platform.
Steph
Company Specialist at Welcome to the Jungle
Insights
36% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Sep 2015
$56m
GROWTH EQUITY VC
Dec 2014
$250m
SERIES B
Total funding: $323.9m
Company benefits
- Global exchange program
- Weekly happy hour
- Delicious healthy lunches
- Phantom share package
- Yearly trip to Amsterdam
- Paid holidays
- Work from home opportunities
Company HQ
Nieuwmarkt en Lastage, Amsterdam, Netherlands
Leadership
Pieter Van Der Does
(Co-Founder & CEO)Previously Chief Commercial Officer at Bibit (payments company) before co-founding Adyen in 2006.
Salary benchmarks
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