Senior Product Manager, Machine Learning 

About this role

Upstart is looking for a Senior Product Manager to help us achieve our mission of enabling effortless credit based on true risk. In this role, you will work closely with our machine learning and engineering teams to design, develop, and improve on machine learning applications across the entire Upstart business, from user acquisition to assessing credit risk, from fraud detection to improving operational workflows. You will ship products that enable Upstart to further improve its machine learning advantage, and thereby accelerate its core mission of delivering increasing value to borrowers over time.  

One of the reasons Upstart has experienced such rapid growth is because of the clear-eyed, analytical approach we take to product enhancements. The right candidate for this role should be highly capable, able to organize both ideas and people, and excel at problem solving of many kinds. You should have a bias toward action and be able to break down complex problems into steps that drive rapid product development. You will bridge the technical and business worlds as you first design services that our customers love and then engage stakeholders to make them a reality. By clearly defining requirements and removing blockers, you will act as a multiplier on the productivity of your team.

Position Location - This role is available across the US

Time Zone Requirements - This team operates in all US time zones

Travel Requirements - This team has regular on-site collaboration sessions. These occur 2-3 days per Month at our San Mateo or Columbus office. If you need to travel to make these meetups, Upstart will cover all travel related expenses.

How you’ll make an impact:

• Conduct user research and manage stakeholders to drive consensus 
• Write detailed requirements; manage agile processes to ensure consistent execution and accurate timelines
• Identify new parts of our business that could benefit from machine learning
• Make smart trade-offs to inform the ongoing product roadmap, prioritizing the features with the highest ROI and experimenting when necessary
• Passionately advocate for a customer experience that leads to extreme customer loyalty
• Demonstrate and encourage best practices in product management by working with other PMs throughout the company

Here is what we are looking for:

• BA/BS in Economics, Computer Science, Electrical Engineering, Mathematics, Statistics, a related technical field, or equivalent practical experience.
• 5-7 years of product management experience. 
• Experience building products that serve technical users (e.g. software developers, machine learning researchers, data scientists) -- and a deep understanding of their needs and pain points  
• Knowledge of machine learning workflows (e.g. model training, online inference, feature management, etc.) 
• Demonstrated ability to achieve strategic goals in an innovative and fast-paced environment, and to evolve product strategy based on research, data and industry trends; excellent problem-solving, organizational and analytical skills.
• Passion and aptitude for credit and financing-related economic concepts.

Preferred Qualifications:

• Demonstrated ability to excel in informal or formal product leadership responsibilities.
• Experience bringing teams together using Agile development methodology.
• Experience working with a machine learning team to ship models into production.

What you’ll love: 

• Competitive Compensation (base + bonus & equity)
• Comprehensive medical, dental, and vision coverage
• Personal Development and Technology & Ergonomic Budgets 
• Life insurance and disability benefits 
• Clubs and Activities  (Game Nights, Fitstarters, Superwomen, Book Club, Investing Club, Money Discussions, Photography Club and Basketball teams) 
• Generous vacation policy
• 401(k) and Employee Stock Purchase Plan (ESPP)
• Catered lunches + snacks & drinks

The minimum base pay for this position in Colorado is 155,000 + bonus + equity + benefits. Base pay may vary depending on job-related knowledge, skills, and experience. This information is provided in accordance with the Colorado Equal Pay Act. It is specific to Colorado and may not be applicable to other locations.

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