What is the type of contract for this position?

The contract for this position is a Full-time contract

What's the salary range for the Senior Product Manager - Machine Learning position?

The suggested salary for this position is $126,000-$172,700*

Is telecommuting possible for this position?

No, telecommuting is not possible for this position

Senior Product Manager - job at Checkout

We're Checkout.com

Checkout.com is one of the most exciting and valuable fintechs in the world. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Binance and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.

We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re number 9 on the Forbes Cloud 100 list and on Glassdoor’s list of Top 10 fintechs to work for. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. So, join us to build tomorrow, today.

About the Role:

As a Machine Learning (ML) and Data Science (DS) Product Manager, you'll help steer the data strategy, gather product requirements, and oversee the execution of key initiatives at Checkout.com ranging from developing innovative algorithms for fraud detection, transaction forecasting, disputes classification, etc.

You enjoy and have experience in bringing the vision of a product to market and/or shipped world-class products serving internal teams. You'll have the opportunity to work on features and products ranging from algorithm design, getting involved in testing and purchasing new data sources to improve our algorithms performance (transactions data, personal data, device data, behavioural data), API design, and building a front-end to explain to our merchants the capabilities of ML. Your day will be spent gathering feedback from the Data Science and Machine Learning Engineering teams, other engineering and data teams, end customers, third-party providers, discussing technical solutions and removing any blockers for the teams to deliver algorithms serving our merchants or internal customers. From creating stories, building diagrams and prioritization, you'll join an experienced and diverse team with a track record of adapting quickly, delivering scalable products and making customers happy.

Our ideal Product Manager has led technical products, ideally products involving machine learning, worked with multiple internal data teams, always thinks from the customer’s perspective, communicates sophisticated concepts in a simple way, and is passionate about payments.

About you:

Prior hands-on Product experience, from discovery, to delivery to operations (Product life cycle);
You’ve shipped algorithms before or products heavily involving data
You’ve delivered products with great user experiences
You’ve led products that need coordination of many customers, cross functional teams and technical teams
You have bias for action, use make data to make decisions and whatever-it-takes approach to ensure that your product and team are successful
Proven ability to work with and become a subject matter expert in complex products

Nice to have:

Familiarity with SQL, Looker and Python
FinTech or payments experience
Understanding of payments fraud risk

What you'll be doing:

Ownership of ML data products across their entire lifecycle
Partner with Sales and Commercial to understand customers’ needs
User story writing, participation in team ceremonies, removing requirement blockers for data scientists and machine learning engineers
Provide ongoing support to the Data Science and Machine Learning Engineering teams
Partner with third-party data providers to test and acquire new data sources for our algorithms
Set and maintain the product vision and strategy
Collecting, understanding and conveying business requirements for given projects
Finding and presenting solutions to large and/or complex needs
Producing business and functional requirements as well as inputting into technical requirements
To develop, optimise and document business processes
To conduct day to day management of formal change requests in relation to changes in project scope
Highlight, report and manage project risks and issues

#LI-JE1

What we stand for

At Checkout.com, everything starts with our values, including the experience we offer our people.

#Aspire

We supercharge your professional growth with career development programs and leadership training. You can learn your way, with tailored pathways and online platforms. And be inspired at relevant conferences.

#Excel

We don't stop at 'good' here. We strive for excellence amongst our teams every day and recognize colleagues who take it to the next level through our quarterly peer-nominated Hero awards.

#Unite

We're proud of our global connections and inclusive environment. So we champion this through our colleague-led community groups and celebrate many cultural events together.

Want to see us in action?

Take a peek inside here.

More about Checkout.com

We empower businesses to adapt, innovate and thrive with the connected payments they deserve. Our technology makes payments seamless. We provide the fastest, most reliable payments in more than 150 currencies, with in-country acquiring, world-class fraud filters and reporting, through one API. And we can accept all major international credit and debit cards, as well as popular alternative and local payment methods. Checkout.com launched in 2012, and we now have a team of 1000 people across 17 international offices. To date, we’ve raised a total of $830 million, with our recent Series C valuing us at $15 billion.

We believe in equal opportunities

Checkout.com is an equal opportunities employer. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion, or belief. We make recruiting decisions based on your experience, skills and personality. We believe that employing a diverse workforce is the right thing to do and is central to our success.

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Senior Product Manager - Machine Learning

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