Description

The vision of the Product Knowledge Ontology Team is to provide a standardized, semantically rich, easily discoverable, extensible, and universally applicable body of product knowledge that can be consistently utilized across customer shopping experiences, selling partner listing experiences and internal enrichment of product data. We aim to make product knowledge compelling, easy to use, and feature rich. Our work to build comprehensive product knowledge allows us to semantically understand a customer’s intent – whether that is a shopping mission or a seller offering products. We strive to make these experiences more intuitive for all customers.

As an Ontologist, you work on a global team of knowledge builders to deliver world-class, intuitive, and comprehensive taxonomy and ontology models to optimize product discovery for Amazon web and mobile experiences. You collaborate with business partners, data science and engineering teams to deliver knowledge-based solutions to enable product discoverability for customers. In this role, you will directly impact the customer experience as well as the company’s product knowledge foundation.

Key job responsibilities

• Develop logical, semantically rich, and extensible data models for Amazon's extensive product catalog

• Ensure our ontologies provide comprehensive domain coverage that are available for both human and machine ingestion and inference

• Create new schema using Generative Artificial Intelligence (generative AI) models

• Analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing our knowledge graph data models globally

• Expand and refine the expansion of data retrieval techniques to utilize our extensive knowledge graph

• Contribute to team goal setting and future state vision

• Drive and coordinate cross-functional projects with a broad range of merchandisers, engineers, designers, and other groups that may include architecting new data solutions

• Develop team operational excellence programs, data quality initiatives and process simplifications

• Evangelize ontology and semantic technologies within and across teams at Amazon

• Develop and refine data governance and processes used by global Ontologists

• Mentor and influence peers

About the team

Inclusive Team Culture

Our team has a global presence: we celebrate diverse cultures and backgrounds within our team and our customer base. We are committed to furthering our culture of inclusion, offering continuous access to internal affinity groups as well as highlighting diversity programs.

Career Growth

Our team cares about your career growth, from your initial company introduction and training sessions, to continuous support throughout your entire career at Amazon. We recognize each team member as an individual, and we will build on your skills to help you grow. We have a broad mix of experience levels and tenures, and we are building an environment that celebrates knowledge sharing.

Perks

• You will have the opportunity to support CX used by millions of customers daily and to work with data at a scale very few companies can offer.

• We have offices around the globe, and have the opportunity to be considered for global placement.

• You’ll receive on the job training and group development opportunities.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

Basic Qualifications

• Degree in Library Science, Information Systems, Linguistics or equivalent professional experience

• 5+ years of relevant work experience working in ontology and/or taxonomy roles

• Proven skills in data retrieval and data research techniques

• Ability to quickly understand complex processes and communicate them in simple language

• Experience creating and communicating technical requirements to engineering teams

• Ability to communicate to senior leadership (Director and VP levels)

• Experience with generative AI (e.g. creating prompts)

• Knowledge of Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN)

• Knowledge of open-source and commercial ontology engineering editors (e.g. Protege, TopQuadrant products, PoolParty)

• Detail-oriented problem solver who is able to work in fast-changing environment and manage ambiguity

• Proven track record of strong communication and interpersonal skills

• Proficient English language skills

Preferred Qualifications

• Master’s degree in Library Science, Information Systems, Linguistics or other relevant fields

• Experience building ontologies in the e-commerce and semantic search spaces

• Experience working with schema-level constructs (e.g. higher-level classes, punning, property inheritance)

• Proficiency in SQL, SPARQL

• Familiarity with software engineering life cycle

• Familiarity with ontology manipulation programming libraries

• Exposure to data science and/or machine learning, including graph embeddings

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $82,200/year in our lowest geographic market up to $206,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.