AI/ML Product Manager
As an AI/ML Product Manager at Vanguard, you’ll help shape how artificial intelligence (AI) and machine learning (ML) enable better outcomes for our clients and our crew. In this role, you will set the strategic vision and roadmap for AI/ML-enabled products within a defined business area, ensuring solutions are responsible, scalable, and aligned with Vanguard’s long-term, client-first mission. Your work may influence products with enterprise-wide impact, helping teams work more efficiently and deliver greater value to investors around the world.
What you’ll do
Lead product management for multiple AI/ML products, or one highly strategic product, with cross-divisional impact.
Define and own the end-to-end product lifecycle, from strategy and planning through delivery, adoption, and continuous improvement.
Partner closely with engineering, data science, design, risk, legal, and business stakeholders to design, build, and improve AI/ML technical solutions.
Translate market research, user insights, and client feedback into clear product vision, features, and requirements.
Guide planning, development, and implementation of new AI/ML products, including defining target markets and implementation approaches.
Use qualitative and quantitative analysis to assess performance, improve user experience, and inform future product direction.
Coach and support technical product teams on product management best practices and shared learnings.
Ensure clear, consistent communication, including product messaging, documentation, and customer or stakeholder outreach.
Contribute to business planning, prioritization, and investment decisions to ensure alignment with organizational strategy.
Participate in modern engineering practices, including development, continuous integration, and automated deployment.
Support special projects and other responsibilities aligned with the role, as needed.
What we’re looking for
At least 8 years of experience in AI/ML product management or closely related roles, including a minimum of 3 years in technical product or project leadership.
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, or a related technical field; a master’s degree is a plus.
Experience across the AI/ML product lifecycle, including user-centered design, market analysis, stakeholder engagement, and implementation planning.
Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud Platform), machine learning frameworks (for example, TensorFlow or PyTorch), and analytics tools.
Strong critical thinking, problem-solving, and time-management skills, with the ability to communicate clearly in writing and conversation.
Comfort collaborating in cross-functional, agile teams and synthesizing complex data into actionable insights.
Certifications are valued but not required; examples include Certified Scrum Product Owner (CSPO), AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, or Pragmatic Product Management.
Special factors
This role may involve working on products with enterprise-wide visibility and impact.
Collaboration across multiple teams and stakeholder groups is a core part of the role.
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.About Vanguard
At Vanguard, we don't just have a mission—we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
Skills Required
- At least 8 years of experience in AI/ML product management or closely related roles
- At least 3 years of technical product or project leadership experience
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, or a related technical field
- Experience across the AI/ML product lifecycle, including user-centered design, market analysis, stakeholder engagement, and implementation planning
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform
- Familiarity with machine learning frameworks such as TensorFlow or PyTorch
- Familiarity with analytics tools
- Strong critical thinking, problem-solving, and time-management skills
- Strong written and verbal communication skills
- Ability to collaborate in cross-functional, agile teams
- Ability to synthesize complex data into actionable insights
- Master's degree in a related field
- Certifications such as CSPO, AWS Certified Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer, or Pragmatic Product Management
Vanguard Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.
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Retirement Support — Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
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Affordable Benefits — Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.
Vanguard Insights
What We Do
We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.
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