Product Manager Machine Learning
Sephora USA Inc
Contract San Francisco, California, United States Posted 2 months ago
About Position
Product Manager Machine Learning (Contract)
$80.00 / Hourly
San Francisco, California, United States
Product Manager Machine Learning
Contract San Francisco, California, United States Posted 2 months ago
Skills
· Execute the product roadmap and create buy-in across key stakeholders · Collaborate with internal business partners to refine requirements define enhancements and determine prioritization based on business impact need and investment required · Develop and maintain successful partnerships with Developers UX and Design to work through all interaction details · Work closely with Sephora’s Project Management and IT organizations for sprint and board management processes · Align with cross-functional teams comprised of both business roles and technical development during the life cycle of product development · Champion the needs of business/marketing teams; develop detailed requirements and feature definitions; partner with IT on development testing & implementation plans as well as internal communications & deployment plans · Participate in daily review triage and prioritization of bugs · Attend daily standup meetings · At the beginning of a sprint cycle identify user stories for consideration and help negotiate which stories get played and which move to a future sprint · Throughout a sprint cycle monitor the JIRA boards and reports to ensure Product is helping Engineers and QA get the information they need to work fluidly on stories and bugs · Communicate updates and process changes to the broader Product Management Team and proactively identify issues risks and associated mitigation · Partner with Product Management and business teams to develop metrics to measure success of program features analyzes results and partners across the organization to develop action plans and enhancement recommendations.Description
Sephora is looking for a Product Manager to join our Machine Learning Product Team. You will partner with multiple cross-functional teams (including software engineering, data science, ML engineering, marketing, operations, and more) to execute the strategic roadmap for our upcoming 2025 strategy. You will ensure technology teams have everything they need, including clear requirements, specifications, and designs, and help clarify any unclear aspects by closely collaborating with business and technical teams to reach consensus. You will also ensure that deliverables meet expectations, prioritize enhancements, and track any defects by working with developers to resolve them based on criticality. This is a unique opportunity to be at the forefront of AI and machine learning in the beauty retail space.
Responsibilities
- · 2-5+ years of experience in agile product management with a successful history of launching highly effective digital products.
- · Demonstrated experience with agile methodology and tools along with the ability to manage and prioritize a product backlog, ideally for ML and personalization features.
- · Knowledge of different machine learning models and their applications in e-commerce, including recommendation systems, customer segmentation, and personalization algorithms, is highly desirable.
- · Experience working with building out re-usable, repetitive ML solutions at a platform level, across various technology teams.
- · A firm understanding of the front-end capabilities of e-commerce, mobile apps, and websites is preferred.
- · Superior relationship-building, communication, and negotiation skills within cross-functional teams.
- · Highly motivated, self-sufficient, and be able to operate effectively without close supervision.
- · Ability to identify and understand user problems related to both the internal and external client and recommend practical solutions.
- · Excellent communication skills to effectively coordinate with cross-functional teams, including engineering, marketing, and operations.
- · A proactive approach to identifying and resolving issues, with a focus on delivering high-quality ML solutions for both internal and external users.
- · Enthusiasm for staying updated on the latest trends and advancements in machine learning, and the ability to apply this knowledge to enhance eCommerce products.
- · Ability to be nimble and flexible with regards to changing priorities & business needs, and in working with diverse teams & people.
- · Demonstrated ability to manage multiple projects and meet critical deadlines — excellent at prioritization, planning, task delegation, and working with peers in a cross-functional setting.
- · Exceptional written and verbal communication.
- · Intermediate to advanced proficiency in JIRA, Confluence, MS Office, communication platforms (Slack, MS Teams, ZOOM) and other industry-standard tools.
- · BA/BS. Prior experience in a retail/eCommerce environment is highly preferred.
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