Senior Product Manager, Machine Learning Platform (Columbus)

About Upstart

Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload.

Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas.

Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, wed love to hear from you!

The Team:

Upstarts Machine Learning Platform team is building a scalable, reliable, and user-friendly ML Platform that enables our machine learning experts to quickly develop and deploy ML models in production. By building an exceptional platform for machine learning innovation, this team plays a crucial role in advancing Upstarts core competitive advantage and accelerating our path to becoming the premier destination for consumer credit.

As the Senior Product Manager, Machine Learning Platform at Upstart, you will own the strategy and execution for the tools and services that enable data preparation, feature engineering, and model training workflows for our machine learning teams. Youll collaborate with multiple engineering teams across machine learning platform engineering, software engineering, and data engineering to ensure the right data is made available to ML teams for offline research and accurately surfaced to models for online inference. Youll drive improvements to the overall speed, cost, and efficiency of our training workflows, ultimately accelerating the speed by which ML teams can research, innovate, and ship new models into production. Youll work across all machine learning teams at Upstart, spanning from customer acquisition to credit underwriting to fraud detection and beyond.

How youll make an impact

• Develop and execute strategies to (1) make more data available and usable for ML research, (2) accelerate model research & development workflows, and (3) deliver high-quality, low-latency model inference in production
• Establish and track success metrics to assess the impact of product initiatives, with a focus on ML efficiency/productivity, model and data quality, and online inference latency
• Make smart trade-offs to inform the ongoing product roadmap, prioritizing the features with the highest ROI and experimenting when necessary
• Collaborate closely with product managers, engineering, analytics, machine learning, operations, and other key stakeholders to align goals and streamline processes, ensuring cross-functional coordination and successful delivery of initiatives
• Leverage data-driven insights to make informed product decisions, identifying opportunities for optimization and testing hypotheses to improve key metrics.

Minimum Qualifications

• 5-10 years experience in a product management role focused on technical products or platforms
• 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.)
• Ability to build relationships and effectively collaborate with all levels of the organization, from C-level to individual contributors
• Ability to manage and influence through persuasion, negotiation, and consensus building

Preferred Qualifications

• Experience with large scale machine learning platforms/infrastructure.
• Experience with large scale data platforms.
• 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 with Health Savings Account contributions from Upstart
• 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
• Employee Stock Purchase Plan (ESPP)
• Life and disability insurance
• Generous holiday, vacation, sick and safety leave
• Supportive parental, family care, and military leave programs
• Annual wellness, technology & ergonomic reimbursement programs
• Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering
• Catered lunches + snacks & drinks when working in offices

#LI-REMOTE

#LI-MidSenior

At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic locationwith our digital first philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).

United States | Remote - Anticipated Base Salary Range

$162,100$224,500 USD

Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email [email protected]