Senior PM, Story Understanding, Yahoo News
Yahoo
- Location Preference: New York City or EST time zone
- Develop and execute a content recommendation product strategy that enhances the Yahoo News recommendations experience through the thoughtful application of machine learning and LLMs.
- Partner with data scientists, engineers and journalists to design, test, and refine ranking models
- Develop strategies for extracting meaningful features from news content
- Partner with Engineering on NLP and topic modeling
- Design taxonomy and metadata schemas for news categorization
- Collaborate with the Editorial team on content tagging workflows
- Develop strategies for measuring and optimizing content diversity in recommendations
- Balance personalization with diversity and editorial priorities in ranking
- Collaborate with cross-functional teams, including engineering, design, and data science, to ensure alignment with overall product goals and timelines.
- Provide clear communication and documentation to keep stakeholders informed about product developments and algorithmic enhancements.
- Analyze ranking performance and conduct A/B tests
- Implement quality assurance processes to monitor and evaluate algorithmic outputs, proactively identifying and addressing any issues related to content accuracy, bias, quality or misinformation.
- Develop product vision for personalized notifications
- 5+ years of product management experience that includes 2+ years of ML product management experience
- Strong technical background, ideally in machine learning or recommendation systems
- You are comfortable tackling complex, technically ambiguous problems and understand how to translate ideas into requirements across stakeholders
- Experience with A/B testing and experimentation
- Excellent analytical and problem-solving skills
- Quantitative skills for digging into the data to drive insights combined with excellent product sense to deliver scalable, consistent value to users in alignment with business goals.
- Strong entrepreneurial spirit with a passion for identifying and driving the development of new data-led opportunities that add value to users and contribute to business growth.
- Excellent communication skills with the ability to collaborate effectively with stakeholders at all levels, including executives, editors, and technical teams.
- Experience working with engineering teams and a deep understanding of machine learning and LLMs.
Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call 408-336-1409. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.
At Yahoo, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion (www.yahooinc.com/diversity/) page to learn more.
The compensation for this position ranges from $120,750.00 - $251,250.00/yr and will vary depending on factors such as your location, skills and experience. The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions, in addition to equity incentives. Yahoo provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation, sick time, parental leave and an employee assistance program. Eligibility requirements apply.Yahoo has a high degree of flexibility around employee location and hybrid working. In fact, our flexible-hybrid approach to work is one of the things our employees rave about. Most roles don’t require specific regular patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel to attend) on-site work sessions, team-building, or other in-person events. When these occur, you’ll be given notice to make arrangements.
If you’re curious about how this factors into this role, please discuss with the recruiter.
Currently work for Yahoo? Please apply on our internal career site.