We are looking for an Associate AI Product Manager (entry-level position) to join our team for a 6-month contract (backfill). This is an opportunity for a highly-capable entry-level individual to gain valuable industry experience, as part of a team of strong product professionals.
You'll work at the intersection of Data Science, e-commerce, and data platforms – owning capabilities that directly shape how millions of customers discover and buy products. Youll own real product problems, and work across Walmart's e-commerce organization.
The ideal candidate will have strong analytical and technical foundations – from a quantitative, engineering, or CS background – combined with hands-on experience working alongside data science or ML teams, strong intuitions on how to define quality criteria and drive model improvements, and the ability to take full ownership of a technical backlog and deliver results independently.
Responsibilities:
Own, deeply understand, and execute plans for improving NLP / DS models and capabilities across various domains and customer needs; from prioritizing improvement iterations, through defining quality criteria, to collaborating with DS and Engineering on delivery.
Define evaluation frameworks: Establish quality dimensions, create labelling guidelines and examples, and work with quality and data science teams to build automated evaluation pipelines.
Own and drive a prioritized backlog of improvements to platform capabilities; understand the domain in-depth, gather feedback and faults (incl. customer analytics), and apply methodical reasoning to assess best prioritization within a given capacity.
Collaborate with data science and ML engineers as well as with global product teams, to translate product problems into model improvements; challenge assumptions, evaluate trade-offs, and drive measurable outcomes.
Manage multiple concurrent workstreams across a global, cross-timezone team.
You'll work at the intersection of Data Science, e-commerce, and data platforms – owning capabilities that directly shape how millions of customers discover and buy products. Youll own real product problems, and work across Walmart's e-commerce organization.
The ideal candidate will have strong analytical and technical foundations – from a quantitative, engineering, or CS background – combined with hands-on experience working alongside data science or ML teams, strong intuitions on how to define quality criteria and drive model improvements, and the ability to take full ownership of a technical backlog and deliver results independently.
Responsibilities:
Own, deeply understand, and execute plans for improving NLP / DS models and capabilities across various domains and customer needs; from prioritizing improvement iterations, through defining quality criteria, to collaborating with DS and Engineering on delivery.
Define evaluation frameworks: Establish quality dimensions, create labelling guidelines and examples, and work with quality and data science teams to build automated evaluation pipelines.
Own and drive a prioritized backlog of improvements to platform capabilities; understand the domain in-depth, gather feedback and faults (incl. customer analytics), and apply methodical reasoning to assess best prioritization within a given capacity.
Collaborate with data science and ML engineers as well as with global product teams, to translate product problems into model improvements; challenge assumptions, evaluate trade-offs, and drive measurable outcomes.
Manage multiple concurrent workstreams across a global, cross-timezone team.
Requirements:
1-2 years of Product Management experience in a data-centric or platform-focused role – or proven equivalent analytical/technical background with clear PM-relevant responsibilities.
Strong technical foundation – degree in Computer Science, Data Science, a highly related scientific field
Passion for, and deep understanding of ML and NLP concepts, techniques, and models.
Experience engaging directly with data science or ML functions, feeling comfortable in technical discussions and in meaningfully challenging DS choices.
Strong analytical skills – comfortable with data, metrics, and quality evaluation; able to define what "good" looks like and how to measure it.
Strong written and spoken English; able to communicate complex ideas clearly to both technical and non-technical audiences.
Ability to work independently and drive progress.
Advantage: experience managing B2C products and features.
Advantage: experience working with teams across different time zones and geographies.
1-2 years of Product Management experience in a data-centric or platform-focused role – or proven equivalent analytical/technical background with clear PM-relevant responsibilities.
Strong technical foundation – degree in Computer Science, Data Science, a highly related scientific field
Passion for, and deep understanding of ML and NLP concepts, techniques, and models.
Experience engaging directly with data science or ML functions, feeling comfortable in technical discussions and in meaningfully challenging DS choices.
Strong analytical skills – comfortable with data, metrics, and quality evaluation; able to define what "good" looks like and how to measure it.
Strong written and spoken English; able to communicate complex ideas clearly to both technical and non-technical audiences.
Ability to work independently and drive progress.
Advantage: experience managing B2C products and features.
Advantage: experience working with teams across different time zones and geographies.
This position is open to all candidates.
