FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.
At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.
As AI Product Owner, you will help lead the strategy and execution of Model Context Protocol (MCP) related projects and our broader AI platform initiatives. You'll work at the intersection of cutting-edge AI technology and financial services, defining how FactSet leverages foundation models, agentic AI systems, and advanced data engineering to deliver innovative solutions to our global client base. Your work will directly impact how investment professionals access and interact with financial intelligence powered by AI.
What You'll DoProduct Strategy & AI Model Selection- Help define and execute the product roadmap for MCP-based applications and AI platform capabilities
- Determine optimal model selection strategies, evaluating trade-offs between commercial services (GPT-4, Claude, Gemini) and open-source alternatives (Llama, Mistral, etc.)
- Stay current on model benchmarks and performance characteristics across AI vendors and open-source options
- Establish success metrics and KPIs for AI product initiatives
- Design and oversee LLM evaluation frameworks, including benchmark selection and custom eval development
- Apply LLM reasoning architectures (Chain-of-Thought, ReAct, Tree-of-Thoughts, etc.) to product requirements
- Collaborate with engineering teams on prompt engineering best practices and optimization
- Drive inference optimization strategies to balance cost, latency, and quality
- Guide implementation of Retrieval Augmented Generation (RAG) systems and agentic workflows
- Oversee AI pipeline architecture and orchestration requirements
- Lead integration of MCP and similar frameworks into FactSet's technology stack
- Define dataset engineering requirements including quality standards, coverage needs, and quantity targets
- Establish annotation guidelines and quality assurance processes for training and evaluation data
- Guide data augmentation and synthetic data generation strategies
- Gather and synthesize user feedback to inform product iterations
- Translate technical AI capabilities into business value for stakeholders and clients
- Partner with regional and global teams across engineering, data science, and business functions
- Present product vision and progress to leadership and clients
- Manage vendor relationships and evaluate AI service providers
- Drive operational efficiency and continuous improvement in AI product delivery
Product & Business Skills
- 2 - 6 years of product management or product owner experience, preferably in AI/ML or enterprise software
- Proven track record of delivering complex technical products from conception to launch
- Strong analytical and decision-making skills, particularly around vendor selection and model choice
- Experience working in agile development environments
- Strong interpersonal and organizational skills
Leadership & Communication
- Excellent communication skills with ability to translate between technical and business audiences
- Experience in building effective business relationships with cross-functional and geographical teams
- Collaborative mindset with experience leading cross-functional teams
- Customer-centric approach with strong user empathy
- Ability to adapt in a fast-paced environment and handle multiple tasks through effective prioritization
- Experience with Model Context Protocol (MCP) or similar integration frameworks
- Background in financial services or working with financial data
- Familiarity with FactSet products and financial analytics platforms
- Hands-on experience with AI/ML development or data science
- Familiarity with inference optimization techniques and cost management
- Experience building feedback loops and continuous improvement systems
- Knowledge of AI safety, security, and governance considerations
At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means:
- The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up, now at the forefront of AI innovation in financial technology.
- Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days.
- Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives.
- A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions.
- Career progression planning with dedicated time each month for learning and development in the rapidly evolving AI field.
- Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging.
- Cutting-edge AI work with access to the latest technologies and the opportunity to shape the future of AI in financial services.
Learn more about our benefits here.
Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications.
Company Overview:
FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn.
At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.
Skills Required
- 2 - 6 years of product management or product owner experience, preferably in AI/ML or enterprise software
- Proven track record of delivering complex technical products from conception to launch
- Strong analytical and decision-making skills, particularly around vendor selection and model choice
- Experience working in agile development environments
- Strong interpersonal and organizational skills
- Excellent communication skills with ability to translate between technical and business audiences
- Experience in building effective business relationships with cross-functional and geographical teams
- Collaborative mindset with experience leading cross-functional teams
- Customer-centric approach with strong user empathy
- Ability to adapt in a fast-paced environment and handle multiple tasks through effective prioritization
- Experience with Model Context Protocol (MCP) or similar integration frameworks
- Background in financial services or working with financial data
- Familiarity with FactSet products and financial analytics platforms
- Hands-on experience with AI/ML development or data science
- Familiarity with inference optimization techniques and cost management
- Experience building feedback loops and continuous improvement systems
- Knowledge of AI safety, security, and governance considerations
Factset Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Factset and has not been reviewed or approved by Factset.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, spanning medical, dental/vision in some descriptions, and life and disability insurance. Company-wide wellness days and region-specific add-ons (e.g., Vitality PMI, Bupa dental, Health Shield cashback) further reinforce a strong health-and-wellbeing offering.
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Retirement Support — Retirement savings support is consistently included as part of the core package through retirement savings plans. The presence of these programs is framed as a meaningful component of total rewards beyond base salary.
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Equity Value & Accessibility — An employee stock purchase program is highlighted as a standard part of the total rewards package. This provides a pathway to share ownership alongside cash compensation.
Factset Insights
What We Do
FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, providing instant access to financial data and analytics that investors use to make crucial decisions. For 40 years, through market changes and technological progress, our focus has always been to provide exceptional client service. From more than 60 offices in 23 countries, we’re all working together toward the goal of creating value for our clients, and we’re proud that 95% of asset managers who use FactSet continue to use FactSet, year after year. As big as we grow, as far as we reach, and as successful as we become, we stay connected to our clients and to each other.
