Head of AI Products
About The Position
At Franklin Templeton, we’re advancing our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we provide opportunities to help you reach your potential while helping our clients reach theirs. Come join us in delivering better outcomes for our clients around the world! Role Overview Franklin Templeton is seeking a Vice President, AI Products to drive the development and delivery of AI-powered solutions across our investment platform. This role sits at the intersection of AI, Product Management and Investment Management domain translating advanced technologies and research into scalable, production-grade capabilities. The ideal candidate brings a strong foundation in computer science, machine learning, and quantitative finance, along with deep familiarity with investment strategies, portfolio construction, and financial markets. This individual will work closely with AI Research, AI Platform, and investment teams to bring rigor, structure, and execution discipline to AI product development. This is a hands-on leadership role—owning product strategy and execution while actively engaging in problem-solving, model interpretation, and delivery.
Requirements
- Strong academic background in Computer Science, AI/ML, Quantitative Finance, or related field
- 8–15 years of experience across investment domain, AI/ML, or financial technology
- Hands-on experience with machine learning techniques and data-driven modeling
- Proficiency in programming languages such as Python, C++, or similar
- Deep understanding of systematic investing, factor models, multi-asset strategies, or derivatives-based strategies
- Demonstrated ability to translate research into production-ready solutions
- Strong analytical thinking with the ability to operate in ambiguous, fast-moving environments
- Experience working cross-functionally with engineering, research, and business stakeholders
- Ability to synthesize complex quantitative insights into actionable outcomes
- Strong collaboration and stakeholder management skills
- Clear communicator capable of engaging both technical teams and senior business leaders
- Detail-oriented with a high standard for rigor and quality
- Entrepreneurial mindset with a focus on delivering measurable impact
Nice To Haves
- Experience working with portfolio construction, volatility management, or risk premia strategies is highly preferred
- Familiarity with institutional and/or retail investment products (ETFs, UCITS, structured solutions)
Responsibilities
- AI Product Development & Execution Lead end-to-end development of AI-driven investment and other domains of analytics products, from concept through deployment
- Translate investment research and ML models into scalable, user-facing tools and workflows
- Apply strong product management rigor —defining use cases, success metrics, experimentation frameworks, and feedback loops
- Partnership with AI Research & Platform Collaborate closely with AI Research teams to productionalize models across areas such as factor investing, portfolio optimization, and market insights
- Partner with AI Platform teams to ensure robust data pipelines, model deployment, and monitoring frameworks
- Bridge the gap between research prototypes and enterprise-grade solutions
- Investment Domain Integration Work with business leaders, investment teams and technology partner teams to identify opportunities where AI can enhance:
- Alpha generation and signal development
- Portfolio construction and risk management
- Client analytics and product innovation
- Ensure solutions are grounded in real-world investment workflows and constraints
- Cross-Functional Leadership Drive multiple AI and technology teams to common AI product features
- Drive alignment on priorities, timelines, and measurable outcomes
- Communicate complex AI/quant concepts clearly to both technical and non-technical stakeholders
- Product Strategy & Governance Contribute to the broader AI product roadmap aligned with business objectives
- Ensure adherence to model governance, explainability, and risk frameworks appropriate for financial services
- Promote best practices in responsible and transparent AI usage
Benefits
- Franklin Templeton offers employees a competitive and valuable range of total rewards—monetary and non-monetary — designed to support their well-being and recognize their time, talents, and results.
- Along with base compensation, employees are eligible for an annual discretionary bonus, a 401(k) plan with a generous match, and recognition rewards.
- We also offer a comprehensive benefits package, which includes a range of competitive healthcare options, insurance, and disability benefits, employee stock investment program, learning resources, career development programs, reimbursement for certain education expenses, paid time off (vacation / holidays / sick / leave / parental & caregiving leave / bereavement / volunteering / floating holidays) and a motivational wellbeing program.
- Three weeks paid time off the first year
- Medical, dental and vision insurance
- 401(k) Retirement Plan with 85% company match on your pre-tax and/or Roth contributions, up to the IRS limits
- Employee Stock Investment Program
- Tuition Assistance Program
- Purchase of company funds with no sales charge
- Onsite fitness center and recreation center
- Onsite cafeteria
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What This Job Offers
Job Type
Full-time
Career Level
Executive
Education Level
No Education Listed
