Job responsibilities
- Develops a product strategy and product vision that delivers value to customers
- Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
- Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
- Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
- Defines and drives the product vision and strategy for customer lifecycle management, focusing on acquisition, engagement, retention, and loyalty
- Collaborates with technical teams to design and implement integration solutions using APIs and other technologies.
- Works closely across tech and non-tech teams to ensure successful product development and launch
- Gathers and analyzes customer feedback, requirements production incidents and data to inform product decisions and drive continuous improvement
- Leads the development and execution of AI-driven product strategies, ensuring alignment with business goals and market needs
- Collaborates with cross-functional teams, including engineering, data science, and design, to deliver innovative AI solutions
- Manages the end-to-end product lifecycle for vendor and non-vendor based solutions, from ideation and requirements gathering to launch and post-launch analysis
Required qualifications, capabilities, and skills
- 5+ years of experience or equivalent expertise in product management or a relevant domain area
- Advanced knowledge of the product development life cycle, design, and data analytics
- Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
- Strong analytical skills and experience with data-driven decision-making
- Excellent communication and interpersonal skills, with the ability to influence and collaborate with cross-functional teams
- Experience with agile development methodologies and tools including Jira
- Passion for understanding customer needs and delivering exceptional user experiences
- Expertise in AI talent matching and algorithm optimization for talent recommendations and the ability to stay current with advancements in AI technologies and industry best practices
- Knowledge of APIs, cloud based solutions and work-flows to design, integrate and implement seamless integrations with third-party platforms and services
- Experience overseeing data movement and integration processes, ensuring data integrity, security, and compliance
- Demonstrated understanding of SaaS technologies with the ability to effectively transpose technical concepts to both technical and non-technical audiences
Preferred qualifications, capabilities, and skills
- Demonstrated prior experience working in a highly matrixed, complex organization
- Marketing, or a related field; MBA or advanced degree preferred
- Experience in developing and implementing personalization strategies
- Experience in working with vendor and non-vendor based product solutions
- Ability to adapt to changing priorities and manage multiple goals simultaneously
- Knowledge of UX principles to ensure that personalization efforts enhance the overall user experience