Senior Product Manager - AI Data Foundation - Leading Retail Enterprise
Join the Future of AI-Driven Retail: Senior Product Manager - AI Data Foundation
Workwarp, a pioneering retail enterprise, is seeking an exceptional Senior Product Manager - AI Data Foundation to revolutionize our data infrastructure and drive innovation in AI applications. As a key member of our product management team, you will be at the forefront of delivering a GenAI-ready knowledge foundation that serves as the enrichment layer atop our enterprise data lake. This is a unique opportunity to collaborate with engineers and data scientists, shape the product strategy, and make a lasting impact on our business operations and customer experiences.
About Workwarp and Our Industry
Workwarp is a leading retail enterprise dedicated to providing exceptional customer experiences and driving business growth through innovative solutions. Our industry is rapidly evolving, and we are at the forefront of leveraging AI and data science to stay ahead of the curve. Our company culture values collaboration, innovation, and customer-centricity, and we are committed to creating a work environment that is engaging, challenging, and rewarding for our employees.
Position Purpose
As a Senior Product Manager - AI Data Foundation, you will play a critical role in developing and implementing our AI data foundation strategy. You will work closely with cross-functional teams to assess the criticality of knowledge sources, create a CRUD vision for knowledge management, and develop enrichment and vectorization layers with multimodal operations. Your expertise will be essential in driving innovation, optimizing our data infrastructure, and enhancing our business operations and customer experiences.
Key Responsibilities
Strategy & Planning (50%)
- Develop Product Strategy: Translate business goals and end-user needs into a comprehensive product strategy, communicating direction and priorities to the development team, matrixed teams, and third-party partners.
- Product Backlog Management: Manage and groom the product backlog, making future decisions based on the value that will be delivered, and continually refining priorities based on learnings and business needs.
- Business Planning: Partner with Finance to understand financial needs and assist in creating business plans for new opportunities, ensuring alignment with business goals and leadership priorities.
- Competitive Landscape: Monitor research and the competitive landscape to recommend the best solutions and ensure that products remain or become best-in-class.
Delivery & Execution (20%)
- Product Development: Formulate, test, and refine assumptions and hypotheses through user research and testing, and document, review, and ensure that all quality and change control standards are met.
- Product Decision-Making: Make product decisions that drive value on a daily basis, identifying and considering pros, cons, issues, obstacles, dependencies, and value associated with features and enhancements.
- Stakeholder Communication: Condense complex technical concepts into non-technical language for stakeholders, and participate in standups, iteration planning sessions, product demos, and retrospectives.
People (30%)
- Collaboration: Foster collaboration with team members (Engineering, UX, etc.) to drive value and identify and resolve impediments, acting as a proponent of modern software development practices.
- Leadership: Guide more junior team members in strategy, alignment, analysis, and execution tasks, and participate in talent acquisition, development, and retention activities in support of the team.
- Stakeholder Management: Manage cross-functional team and stakeholder expectations to execute on product strategy, providing education to requestors to determine prioritization based on tangible benefits and/or user experience.
Requirements and Qualifications
Essential Qualifications
- Education: Bachelor's degree in a related field of study.
- Experience: 3+ years of experience in product management, preferably in the retail industry or a related field.
- Skills: Strong understanding of CRUD operations for knowledge management, excellent collaboration and communication skills, and ability to analyze complex data sets and derive actionable insights.
Preferred Qualifications
- Education: MBA or Master's degree in a technical discipline such as Computer Science, Data Science, or AI.
- Experience: Strong background in AI, machine learning, and data science, with experience in managing and leveraging large-scale data lakes with both structured and unstructured data.
- Skills: Proficiency in GenAI technologies and frameworks, including knowledge enrichment and vectorization techniques, and experience with UX design principles and agile development methodologies.
Skills and Competencies
To succeed in this role, you will need to possess a range of skills and competencies, including:
- Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders.
- Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals.
- Collaborates: Building partnerships and working collaboratively with others to meet shared objectives.
- Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
- Cultivates Innovation: Creating new and better ways for the organization to be successful.
- Customer Focus: Building strong customer relationships and delivering customer-centric solutions.
- Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action.
- Interpersonal Savvy: Relating openly and comfortably with diverse groups of people.
- Manages Complexity: Making sense of complex, high quantity and sometimes contradictory information to effectively solve problems.
- Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder.
- Organizational Savvy: Maneuvering comfortably through complex policy, process and people-related organizational dynamics.
- Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations.
- Empathy: Understands the needs of multiple stakeholders and is responsive in meeting their needs with the most optimal resolution.
Career Growth Opportunities and Learning Benefits
At Workwarp, we are committed to providing our employees with opportunities for career growth and development. As a Senior Product Manager - AI Data Foundation, you will have access to:
- Professional Development: Training and development programs to enhance your skills and knowledge in AI, data science, and product management.
- Mentorship: Opportunities to work with experienced mentors and leaders who can provide guidance and support.
- Cross-Functional Collaboration: Opportunities to work with cross-functional teams and stakeholders to develop a deeper understanding of the business and industry.
- Innovation Time: Time allocated for innovation and experimentation, allowing you to explore new ideas and solutions.
Work Environment and Company Culture
At Workwarp, we strive to create a work environment that is engaging, challenging, and rewarding for our employees. Our company culture values:
- Collaboration: We believe in the power of collaboration and teamwork to drive innovation and success.
- Innovation: We encourage experimentation and innovation, providing opportunities for employees to explore new ideas and solutions.
- Customer-Centricity: We are committed to delivering exceptional customer experiences and driving business growth through customer-centric solutions.
- Diversity and Inclusion: We value diversity and inclusion, striving to create a work environment that is inclusive and respectful of all employees.
Compensation, Perks, and Benefits
We offer a competitive compensation package, including:
- Salary: A competitive salary range for this role.
- Benefits: Comprehensive benefits package, including health insurance, retirement savings, and paid time off.
- Perks: Additional perks and benefits, such as flexible work arrangements, professional development opportunities, and access to cutting-edge technologies.
Conclusion
If you are a motivated and experienced product manager with a passion for AI and data science, we encourage you to apply for this exciting opportunity. As a Senior Product Manager - AI Data Foundation, you will play a critical role in shaping the future of our retail enterprise and driving innovation in AI applications. We look forward to hearing from you!
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