Senior Product Manager - AI Platforms

Develop and implement strategies to improve the quality of talent design data quality. Develop and expand key AI products like Talent Design, skills engine, which are core to EF offerings. Monitor key data metrics with help of annotators and analyst team. Identify opportunities to improve data coverage and quality. Improving product features through customer feedback sessions and sales feedback. Work with partners / service providers to take feedback on data quality and align product direction accordingly Partner with engineering to develop and launch new features Identify and implement opportunities to improve the efficiency and effectiveness of the products. Represent the talent design, data quality, and copilot team at company-wide meetings, events and to customers. Develop and implement strategies to enhance the quality of talent design data. Develop and expand key AI products, such as titles and skills engines, which are central to EF offerings. Success in this position requires you to demonstrate the following: Data and analytical mindset: Data Literacy: Possessing a strong foundation in understanding and interpreting data. This includes the ability to collect, organize, analyze, and draw meaningful insights from data. Statistical Acumen: Familiarity with statistical concepts and methods for analysing data, including hypothesis testing, regression analysis, and experimental design. Critical Thinking: The ability to approach data with a skeptical and inquisitive mindset, questioning assumptions and identifying potential biases or limitations. Technical Proficiency: Familiarity with data analysis tools and software, such as spreadsheets, SQL, python. Customer and user focus: ensure products provide end customer value and seamless experience Product requirements gathering and analysis: Proactively identify opportunities of product improvement, especially from a data perspective Execution For Results: We are scaling fast and we have a process. While any process can always be improved, you will be driving releases and results through this process. Collaboration: your work and the product impacts and has dependencies on various, geographically separate, and cross-functional teams. Several teams have thought about copilot and this employee needs to collaborate on product and GTM as well as have a well-informed point of view Communication: This is a high-visibility role and clear succinct communication is expected. Executive updates, customer sessions are common Curiosity: show curiosity about LLM/GenAI applications and copilots, play with them or view demos, and have a point of view on how they are driving success e.g. Microsoft, GitHub, competitors, and other vertical apps Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.