Opportun
San Carlos, CA
1,001-5,000 employees
Oportun is an A.I.-powered digital banking platform that seeks to make financial health effortless for anyone.
Other Open Roles
- Director, Data Science (R12659)
- Senior Data Engineer
- Senior Manager, Data Science (R12658)
- Strategy and Data Analytics - Senior Analyst R12402
- Manager, Product Analytics
Prior Listings
- Manager, Product Analytics
- Business Analyst
- Staff Analytics Engineer- Manager
- Sr. Data Scientist, Model Risk Management
- Data Engineer
- Sr. Data Engineer
- Senior Data Scientist
- Principal Engineer - Data Engineering
- Staff Data Engineer
- Manager, Data Science
- Staff Data Engineer
- Sr. Manager, Collection Analytics
- Data Scientist
- Sr. Manager, Data Scientist
- Sr Analyst, Customer Lifecycle Marketing Strategy and Analytics
- Senior Data Scientist, Model Risk Management
- Financial Systems Senior Analyst
- Senior Manager, Product Analytics
- Sr. Engineering Manager - ML Infra
- Sr. Staff ML Engineer
ML Principal Product Manager
ML Principal Product Manager
This job is no longer open
We are seeking an experienced and strategic-minded Machine Learning Principal Product Manager to join our team at Oportun. In this role, you will be responsible for shaping and developing cutting-edge decisioning platform that drives overall default rates lower . You will articulate product strategy, set objectives and key results, define roadmaps and work with the cross-functional team to deliver best-in-class solutions. If you thrive in a fast-paced environment and have a passion for building products that delight users, join Oportun and grow with one of the most innovative and progressive FinTech companies.
RESPONSIBILITIES
- Develop and articulate a comprehensive product strategy for machine learning initiatives, aligning with the overall business goals and objectives.
- Stay abreast of industry trends, emerging technologies, and competitive landscape to inform product roadmaps.
- Product Strategy: Work closely with leadership and cross-functional stakeholders to define product strategy and OKRs.
- Product Development: Scope and lead the development of new product features (evaluate cost to build or buy) that will deliver the business value
- Impact and Execution: Drive a cross functional team of Engineers, ML scientists, Data Engineers and business to deliver business impact
- Customer-Centric Approach: Maintain a deep understanding of customer needs and incorporate this insight into product enhancements.
- Data-driven decision making: Leverage data and analytics to make informed decisions, monitor product performance and continuously improve product to improve KPIs
- Risk Management: Work closely with compliance and risk management teams to ensure products adhere to regulatory requirements and industry best practices.
- Financial Planning: Develop and manage product budgets, forecasts, and financial models to optimize resource allocation and track financial performance.
- Communication: Effectively communicate product updates, priorities, and progress to internal stakeholders, executive leadership, and external partners.
REQUIREMENTS
- Any graduate with 12+ years of overall experience
- Strong track record: 7-10+ years of product management experience in high-growth environments, with experience in the financial services industry (FinTech, challenger bank, etc.) highly preferred.
- Customer centric: You are passionate about improving the financial health of Oportun’s members.
- Analytical problem solver: You have experience working and delivering on complex problems. You excel in making data-informed decisions (testing and experimentation, defining metrics, data analysis).
- Collaborative: You have a track record of shipping and iterating on impactful products that required partnering with and building consensus across a wide group of cross-functional partners.
- Excellent communicator: You are a clear and concise communicator, and you have superb documentation skills.
- Execution: You’re scrappy, solution-oriented, and able to help the team push through obstacles and blockers to deliver value for our members.
- Domain knowledge: You ideally have prior experience with decisioning platforms, preferably with a focus on Machine Learning or AI products.
- Bonus Points: You have experience launching products within complex legal and regulatory frameworks such as Finance, experience with SQL, and experience working with a multi-national workforce.
This job is no longer open