About the role
We’re looking for an early-career AI Product Analyst to join our Global Technology Operations team and help build next-generation GenAI solutions that power IT operations at scale.
In this role, you’ll work alongside experienced engineers and product teams to design, build, and deploy AI-driven applications that improve system reliability, reduce manual effort, and enhance the user experience across global platforms.
This is an exciting opportunity for recent graduates or early-career professionals who are passionate about AI and want to apply their skills in a real-world enterprise environment—while continuing to learn, grow, and develop new capabilities.
We offer a collaborative and supportive team environment that values curiosity, experimentation, and continuous learning.
Position Responsibilities:
Design, build, test, and deploy AI-powered applications across backend and frontend systems
Develop backend services and APIs using Python (e.g., FastAPI)
Build intuitive user interfaces using modern JavaScript frameworks (e.g., React)
Integrate applications with enterprise platforms such as ServiceNow and observability tools
AI & GenAI Development
Build AI-driven solutions using LLM APIs (e.g., OpenAI, Azure OpenAI)
Support the development of AI workflows that help automate operational processes
Work with data teams to access and use enterprise data effectively
Collaboration & Engineering Practices
Participate in agile development, including sprint planning and iterative delivery
Write clean, maintainable, and well-documented code
Contribute to testing, debugging, and performance improvement
Collaborate with cross-functional teams across regions and time zones
Operations & Support
Support application releases and ongoing system performance
Participate in a structured on-call rotation with team support
Required Qualifications:
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
Hands-on experience (internship, co-op, or project-based) in software development
Proficiency in Python and experience building APIs or backend services
Working knowledge of JavaScript (e.g., React) or willingness to learn
Basic understanding of REST APIs and system integration concepts
Interest in AI/ML and emerging technologies
Preferred Qualifications:
Experience with cloud platforms (e.g., Microsoft Azure)
Exposure to LLMs, prompt engineering, or retrieval-based AI concepts (RAG)
Familiarity with Docker, CI/CD pipelines, or infrastructure-as-code tools (e.g., Terraform)
Knowledge of enterprise tools such as ServiceNow or observability platforms
How You’ll Succeed:
Demonstrate strong problem-solving skills and attention to detail
Show curiosity, initiative, and a willingness to learn new technologies
Communicate effectively and collaborate with both technical and non-technical teams
Contribute to a team-oriented environment and shared success
Adapt to a dynamic and evolving technology landscape
When you join our team:
We’ll empower you to learn and grow the career you want.
We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
As part of our global team, we’ll support you in shaping the future you want to see.
The role being advertised is an existing vacancy.
About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit
https://www.manulife.com/en/about/our-story.html
.
Manulife is an Equal Opportunity Employer
At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact
hr@manulife.com
.
Referenced Salary Location
Toronto, Ontario
Working Arrangement
Hybrid
Salary range is expected to be between
$69,525.00 CAD - $115,875.00 CAD
Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact
hr@manulife.com
for the salary range for your location.
Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact
hr@manulife.com
for more information about U.S.-specific paid time off provisions.
We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our
personal information collection statement
.