Director of Product – Machine Learning, Decisioning Platforms

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Lead, mentor, and cultivate a team of product managers.

• Establish priorities and enhance the quality of product management throughout the organization.

• Formulate product strategy and develop roadmaps for credit decision-making and machine learning platforms.

• Collaborate with engineering and machine learning leaders on model creation, version control, deployment, forecasting, experimentation, and monitoring.

• Advance underwriting and decision-making systems to integrate customer data, model outputs, and business results.

• Identify machine learning prospects, validate them through targeted MVPs, and create scalable products.

• Develop scalable processes for assessing, onboarding, and integrating data vendors and machine learning capabilities.

• Balance immediate execution with long-term platform investments while considering impact, risk, complexity, and speed.

• Foster cross-team collaboration and weave machine learning into the product strategy.

⛳️ Requirements

• Bachelor's degree in a technical discipline or equivalent practical experience.

• Over 8 years of experience in product management, particularly with technical or platform products.

• Proven experience in managing and nurturing product managers, preferably across multiple interrelated teams.

• Strong technical aptitude and experience collaborating with engineering, machine learning, and data science teams.

• Capability to establish strategy, navigate through ambiguity, and achieve results in a dynamic environment.

• Excellent analytical, organizational, communication, and problem-solving abilities.

• Ability to link technical and product decisions to business outcomes, especially in the fields of credit, lending, or financial services.

• Demonstrated success in building robust teams and enhancing product management quality.

• Availability aligned with East/West coast time zones.

• Experience as a data scientist, machine learning engineer, or in another machine learning individual contributor role (preferred).

• Familiarity with model lifecycle management, decisioning systems, experimentation, optimization, or real-time inference platforms (preferred).

• Experience in constructing or scaling online financial products, particularly in consumer lending or credit (preferred).

🏝️ Benefits

• Competitive compensation package, including base salary, bonus potential, and annual equity grants that vest quarterly.

• Retirement benefits via a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada).

• Employee Stock Purchase Plan (ESPP) providing discounted stock purchase options for eligible employees (US only).

• Comprehensive health coverage encompassing medical, dental, vision, and wellness resources for the US; supplemental health coverage for Canada.

• Contributions to Health Savings Accounts from Upstart for eligible plans (US only).

• Life insurance and disability coverage.

• Paid time off, sick leave, and company holidays.

• Paid family and parental leave.

• Family-oriented benefits supporting fertility, parenthood, and caregiving.

• Employee Assistance Program (EAP) providing mental health support and life-centered resources.

• Financial wellness resources, including financial planning tools and concierge services (US only).

• Annual wellness allowance.

• Annual productivity allowance for relevant tools and resources.

• Team events, company-wide updates, and employee resource groups (ERGs).

• Onsite amenities including catered lunches and fully stocked micro-kitchens at offices.