Staff Product Manager – AI/ML Platform
| Company | Visa |
|---|---|
| Location | San Mateo, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, MBA, PhD, JD, MD |
| Experience Level | Senior |
Requirements
- 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
- Proficiency with software development methodologies such as Agile and experience working with Scrum teams and matrixed organizations.
- Prior experience working within an agile product development environment
- Strong interpersonal, leadership, verbal, and written communication skills to effectively partner, influence, and instill confidence with stakeholders across all functional teams.
- Strong technical, analytical, troubleshooting, and problem-solving skills.
- Flexible and creative thinker with the ability to define business tradeoffs.
- Strong quantitative skills with a data first mindset. Ability to use data and metrics to back up assumptions, recommendations, and drive actions.
- A proven track record of success in fast-paced environments with demanding timelines is also required.
- Proficiency with software development methodologies such as Agile and experience working with Scrum teams and matrixed organizations.
- Strong problem solver, with exposure to and knowledge of industry standard AI and ML technologies with expertise to drive technology related and architecture discussions.
Responsibilities
- Work closely with data scientists, engineers, and other stakeholders to understand their needs and translate them into product requirements.
- Develop product requirements for a feature engineering platform. This includes working closely with the engineering team to ensure the product is built to specification and meets the needs of our users.
- Lead and manage a cross-functional team of product managers, designers, and engineers. Foster a culture of innovation, excellence, and accountability.
- Regularly communicate with stakeholders across the organization, including senior leadership, to keep them informed of the product’s progress and gather their input.
- Advocate for the needs of our users (data scientists) throughout the product development process. Ensure the final product meets their needs and enhances their ability to build, test, and deploy AI models.
- Stay up to date with the latest trends and advancements in AI/ML and feature engineering. Use this knowledge to keep our product competitive and innovative.
- Define product vision and strategy for feature engineering platform, and roadmaps, ensuring it aligns with the company’s overall AI/ML strategy.
Preferred Qualifications
- 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
- 2+ years’ experience in developing and delivering Artificial Intelligence solutions at enterprise or organizational level to solve customer or business problems, preferably in the cloud space.
- Experience in and/or significant exposure to the payments industry specifically within new applications, Fraud Risk, Identity Risk, or Artificial Intelligence and Machine Learning, Data Science.
- 4 years of experience in product management, with demonstrated ability to launch and manage new product releases being part of a matrixed organization in a highly technical and evolving AI/ML space.
- Strong business acumen and knowledge of machine learning or data processing algorithms for risk and fraud applications.
- Experience in financial services and payments desired, but not required.
- Experience partnering with technologists using Agile or other expedited design and development methodologies.