Chewy
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As a Staff Accountant at Chewy, you will prepare general ledger entries, play a key role in monthly accounting close, review financial statements, prepare audit schedules, and provide accounting support for business units. Strong technical accounting skills, proficiency in Excel, and potential CPA eligibility are required.
Lead a team of experienced Software Engineers in building and managing infrastructure and developer platforms. Drive technical decisions, prioritize projects, mentor engineers, and establish strong relationships within the organization. Create a collaborative team environment to innovate and drive impact.
Manage and lead a team of engineers responsible for building and maintaining Chewy's Hybrid Cloud Platform. Drive technical decisions, ensure delivery of solutions, establish technical standards, and collaborate with internal stakeholders.
Responsible for strategy, design, policy, and execution of various Wellbeing, Discount, Voluntary, and Supplemental benefits. Manage vendor relationships, audit procedures, data analysis, and compliance with regulations. Collaborate with internal teams to enhance and rollout benefit programs. Recommend improvements based on competitive trends and team member sentiment. Ensure a Customer First team member experience. Must have strong business acumen and be detail-oriented.
The Head of Benefits at Chewy is responsible for strategy, design, and administration of all benefits plans and programs. This role involves collaborating with various departments and external partners to ensure competitive, compliant, and resonant benefits for team members in the US and Canada. The ideal candidate has extensive experience in benefits, leadership skills, and a focus on maintaining team member experience.
The Chewy Vendor Account Manager will be responsible for owning brand sales, developing marketing plans, and driving growth through innovative customer offerings. They will focus on building world-class customer experiences and maintaining inventory health.
The Head of Benefits at Chewy is responsible for developing and implementing benefits plans and programs, ensuring competitiveness, compliance, and team member satisfaction. This role involves strategic planning, leadership, collaboration with various departments, and oversight of benefits administration for US and Canada.
Lead the Enterprise Risk Management program, assess and mitigate business risks, collaborate with stakeholders, generate reporting materials, oversee ERM GRC tool implementation, build relationships within the organization.
The Human Resources Administrator at Chewy is responsible for providing administrative support to the HR function, conducting new hire activities, maintaining employee files, and assisting with HR events. The role requires 1-3 years of experience and proficiency in MS Office products and HRIS systems.
Controls Systems Engineer at Chewy fulfillment center in Dayton, OH, responsible for analyzing and solving automation equipment challenges, maintaining and troubleshooting control systems, partnering with operations leadership, and training technicians. Bachelor's degree in relevant engineering field required.
Associate Director Product Manager role in Retail Operations team at Chewy, responsible for driving product strategy to enable scale, efficiency, and customer satisfaction. Involves cross-functional collaboration, product lifecycle management, performance analysis, and stakeholder management. Requires 8 years of product management experience, a Bachelor's degree, strong analytical and communication skills.
As an Associate Director Product Manager at Chewy, you will drive product strategy, collaborate with cross-functional teams, manage product lifecycle, analyze performance, and manage stakeholders. This role requires experience in team and Shared Services management, an 8-year minimum in product management, a Bachelor's degree, data-driven decision-making skills, and excellent communication and analytical abilities.
The Business Intelligence Engineer II will be responsible for designing, developing, and maintaining metrics, reports, and dashboards to drive key decisions and process improvements. They will work closely with the Data Science team to analyze demand, resource requirements, and improve reporting processes.
Join Chewy's Search & Recommendations team as a Principal Machine Learning Engineer/Data Scientist. Develop models for personalized recommendations and search for pet parents. Work on all stages of model development, from idea to deployment. Partner with cross-functional teams to drive impactful products and improve modeling techniques. Present findings to business customers. Requires advanced degree or 10+ years of experience in Operations Research, Statistics, or Data Science, along with expertise in machine learning methodologies and distributed pipeline development.
Principal Machine Learning Engineer at Chewy Search & Recommendations team, responsible for developing and deploying machine learning models for personalized recommendations and search for pet parents. The role involves collaborating with cross-functional teams and leading science projects from idea to deployment.
Lead a team of Full Stack Software Engineers, recruit and mentor team members, manage software development projects, collaborate with various teams, establish strong working relationships, drive best practices in software development.
Lead a team of Full Stack Software Engineers, manage software development projects, collaborate with cross-functional teams, implement best practices in software development, and work under Agile/Scrum methodology.
Lead a team of Full Stack Software Engineers, recruit and mentor team members, manage software development projects, establish strong relationships with cross-functional teams, and drive best practices in software development.
Lead a team of Full Stack Software Engineers, manage software development projects, establish strong relationships across teams, and drive best practices in software development and deployment.
As a Data Engineer III at Chewy in Boston, you will be responsible for developing, deploying, and refining data pipelines for ML/DL models at scale using tools like Spark and Kafka. You will work on structuring and delivering data solutions to drive high value actions and enhance customer experience, following agile practices.
