Senior Manager, Software Engineering - Personalization and ML Enablement

Upstart; Brasil; Teletrabalho; BRL 1.059.000 - 1.325.000; Tempo integral

Resumo da oferta

A leading AI company is seeking a seasoned software engineer with strong leadership skills to define and drive technical roadmaps and build a high-performing ML team. Candidates should have over 10 years of experience, including people management and hands-on ML system experience. This role offers a competitive salary and the chance to make a significant impact in AI-driven lending practices.

Serviços

Base salary up to $250,000

Target bonuses and equity compensation

Generous benefits package

Qualificações

• 10+ years of software engineering experience, with at least 4 years in people management roles.
• Hands-on experience with ML systems, personalization engines, or experimentation infrastructure.
• Deep technical understanding of machine learning fundamentals and data pipelines.

Responsabilidades

• Define and drive the multi-year technical roadmap for personalization systems.
• Build and scale a team of engineers and ML practitioners.
• Launch ML-powered personalization models to enhance borrower experiences.

Conhecimentos

Software engineering experience

Machine learning understanding

People management skills

Cross-functional leadership

Descrição da oferta de emprego

Employer Industry: AI Lending Marketplace

Why consider this job opportunity:

• Anticipated base salary up to $250,000
• Target bonuses and equity compensation included in the total compensation package
• Generous benefits package, including medical, dental, vision, and 401k
• Opportunity to lead and shape a high-caliber team in a rapidly evolving field
• Work remotely from anywhere in the United States
• Chance to make a significant impact on borrower experiences and responsible AI practices

What to Expect (Job Responsibilities):

• Define and drive the multi-year technical roadmap for personalization and selection systems
• Build and scale a team of engineers and ML practitioners to deliver infrastructure and ML models
• Launch ML-powered personalization models to enhance borrower experiences
• Lead the development of experimentation platforms to accelerate model iteration and feature evaluation
• Collaborate cross-functionally with Product, Data Science, and ML leadership to align on outcomes

What is Required (Qualifications):

• 10+ years of software engineering experience, with at least 4 years in people management roles
• Hands‑on experience with ML systems, personalization engines, or experimentation infrastructure
• Deep technical understanding of machine learning fundamentals and data pipelines
• Proven ability to hire and grow high‑performing ML and engineering talent
• Strong strategic thinking with effective communication skills and cross‑functional leadership experience

How to Stand Out (Preferred Qualifications):

• Experience with large‑scale ML serving systems or ranking/recommender systems
• Familiarity with experimentation methodologies such as multi‑armed bandits
• Experience working with MLOps, data engineering, and applied ML research teams
• Awareness of ethical AI topics including fairness and explainability
• Demonstrated success in deploying ML systems in production environments

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