AI/ML Engineering Manager (Seattle, US) jobs in United States
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Parking Network B.V. · 1 day ago

AI/ML Engineering Manager (Seattle, US)

Parking Network B.V. is seeking an AI/ML Engineering Manager to lead critical teams within PayIntel. The role involves overseeing the strategic direction of AI adoption in payments, ensuring consistent ML/AI decision-making across products, and enhancing performance analytics and risk management capabilities.

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Responsibilities

Lead the development of our decisioning platform, ensuring that ML/AI decisions are consistent across the lifecycle of a payment regardless of which product makes those decisions
Collaborate with the ML Foundations team to develop and deploy Stripe’s Foundation Model to risk, conversion and growth opportunities in Payments
Extend our performance analytics, observability, and risk management capabilities across Stripe so that users have a consistently high quality performance experience for cost, revenue, and risk across Stripe
Expand our Payments Analytics solution to ensure that users are fully aware of performance opportunities and can take full advantage of our suite of products to automate improvements

Qualification

ML model developmentDeep Neural NetworksTransformersFoundation ModelsData-rich product experienceTeam managementProject managementCustomer engagementBuilding knowledgeProblem-solving

Required

10+ years of experience building and shipping ML models that power AI/ML product features, with a strong emphasis on modern technologies such as DNNs, Transformers, and Foundation Models
5+ years of experience managing and developing a team of managers, fostering their growth and ensuring alignment with strategic objectives
A strong builder mentality, with the ability to define a team's charter and lead the development of complex systems from scratch
Proven ability to shepherd large, complex projects and drive transformational change in an organization and with partners that depend on your team's platform services
Deep passion for solving really interesting problems, willingness to experiment, engage with customers directly to understand how well our solutions are working, and to build deep knowledge about performance that drives impact across the company

Preferred

Experience with a large-scale, data-rich product in a domain such as payments, commerce, search, or social media
Knowledge of the challenges and opportunities in applying ML to fraud prevention, consumer intelligence, or financial services
Experience building platforms that accelerate service adoption outside your organization with little maintainability overhead

Benefits

Equity
Company bonus or sales commissions/bonuses
401(k) plan
Medical, dental, and vision benefits
Wellness stipends

Company

Parking Network B.V.

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At Parking Network we are passionate about connecting professionals in the parking industry.

Funding

Current Stage
Early Stage
Company data provided by crunchbase