Machine Learning Engineering Manager - Fraud Detection

Monograph; United States; Hybrid; USD 258,600 - 387,800; Full time

Benefits offered by this job

Equity

Company bonus

401(k) plan

Medical, dental, and vision benefits

Wellness stipends

Job summary

Stripe is seeking an engineering leader to lead and grow a strong team of engineers, build relationships with customers internally and externally, and champion our vision of making Stripe’s risk management a feature that attracts and retains merchants, and becomes a product differentiator.

This is an exciting opportunity to partner with teams across Stripe to build the best merchant experience, and contribute directly to Stripe’s growth.

Qualifications

• Minimum: engineering management experience (3+ years).
• Minimum: experience as a Machine Learning Engineer or equivalent.
• Preferred: ability to lead cross-functional teams and scale impact.

Responsibilities

• Support the team in delivering a high level of technical quality and impact via APIs, user-facing experiences, services, and systems
• Recruit, hire, scale, and develop an amazing team of engineers
• Executing cross-functionally with leadership, product teams, infra teams & risk strategists
• Be actively involved in strategic direction and platform decisions that impact all of Stripe and Stripe customers

Skills

Engineering management

Machine Learning engineer

Cross-functional collaboration

User experience design

Distributed teams

Job description

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

Risk Detection is focused on providing a delightful experience for our merchants and minimizing friction, while ensuring the safety of our users in the financial ecosystem. Whenever the Risk team takes action on an account, we work to notify Merchants and provide clear status on what’s happening, enable guided workflows for resolving their issues, and redefine our overall Risk processes to make them as smooth as possible for good merchants.

What you’ll do

We’re looking for an engineering leader to lead and grow a strong team of engineers, build relationships with customers internally and externally, and champion our vision of making Stripe’s risk management a feature that attracts and retains merchants, and becomes a product differentiator. This is an exciting opportunity to partner with teams across Stripe to build the best merchant experience, and contribute directly to Stripe’s growth.

Responsibilities

• Support the team in delivering a high level of technical quality and impact via APIs, user-facing experiences, services, and systems
• Recruit, hire, scale, and develop an amazing team of engineers
• Executing cross-functionally with leadership, product teams, infra teams & risk strategists
• Be actively involved in strategic direction and platform decisions that impact all of Stripe and Stripe customers

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• At least 3 years of engineering management experience
• Prior experience as a Machine Learning Engineer or equivalent

Preferred qualifications

• You have managed teams that can collaborate with product teams, respond rapidly to customer needs along with building technology and capabilities that are strategic and foundational in nature
• Enjoy designing, measuring & improving user experience
• You are empathetic to customer needs but visionary enough to not just deliver a faster horse
• You are comfortable planning in quarters, and can set a vision for several years
• You are comfortable working with geographically distributed teams and remote workers

This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently live or plan to live.

The annual US base salary range for this role is $258,600 - $387,800. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Office locations

South San Francisco HQ, or New York

Remote locations

Remote in United States

Team

Risk & Financial Crimes

Job type

Full time