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About This Role
PetSmart does Anything for Pets – JOIN OUR TEAM!
Retail Operations Manager
About Life at PetSmart
At PetSmart, Anything for Pets begins with our people. Every associate plays a vital role in creating meaningful experiences for pets and their families, and we empower our teams with the tools, resources, and opportunities to grow and succeed. This posting reflects an existing vacancy, and we are actively seeking candidates for this role.
Benefits that benefit you
- Paid Weekly
- Health \& Wellness Benefits\*
- 401k Plan with company match
- Paid Time off for full\-time associates
- Associate discounts
- Tuition Assistance
- Career pathing
- Development opportunities
Job Summary
PetSmart’s Process Leader (Retail Operations Manager) has shared responsibility to drive operational excellence in our stores while upholding the company’s vision, mission, values, and strategy. This role is accountable for merchandising and inventory management, pet care operations, opening and/or closing the store, leading associates, financial outcomes and maintaining a safe and organized environment.
Essential Responsibilities
Job responsibilities include, but are not limited to, the following and may vary depending on store characteristics and needs:
People Leadership:
- Participates in employment decisions such as recruiting, interviewing, and coaching.
- Facilitates the associate experience and supports associate development; including but not limited to ensuring associates are appropriately trained across the store, onboarding, associate reviews, labor management, mentoring, succession planning, and coaching for accountability.
- Address and administer associate complaints and grievances.
- Prioritize, delegate, and validate daily tasks for associates to meet business and pet parent needs.
- Lead and coach associates on proper operational processes to ensure pets in our care are safe and healthy.
- Coordinates staffing coverage for process activities in pivotal areas of the store (pet care maintenance, hotel cleaning, salon cleaning, etc.)
- Validates completion of assigned operational messages and engagement video compliance.
- Effectively communicates company information and priorities to associates to ensure alignment and deliver on expectations.
- Recognizes and celebrates associates driving overall associate engagement.
Overall Store Experience:
- Accountable for and provides oversight for the healthcare of store owned pets, including pet care maintenance, receiving new store owned pets, commitment standards (feeding, watering, and cleaning) for all pet habitats (bird, reptile, small animal, cricket, and fish aquariums), and care for sick store\-owned pets.
- Accountable for, provides oversight, and validates proper execution of inventory management and pricing processes, including, but not limited to, inventory accuracy, receiving, stocking/re\-stocking, inventory counts (live and non\-live), product rotations and planner/planogram sets in a timely and organized manner.
- Evaluates operations and seeks opportunities to continuously improve experiences and services.
- Maintains vendor relationships, backroom standards, and communication boards.
- Oversight of the processes related to the Buy Online and Pick Up In Store and Ship From Store programs.
- Identifies and reacts to sales trends through analysis and merchandising activities.
- Responsible for making sound merchandising decisions with respect to discretionary space and discontinued merchandise.
- Maintains store standards (compliance and cleanliness) and leads a culture of empowerment by ensuring compliance to our Policies \& Procedures (P\&Ps) and Code of Ethics.
- Ensures a safe environment for our associates, pets, and pet parents.
- Responsible for taking immediate action and reporting when a sick/injured pet is identified in store.
- Shared responsibility with store opening and closing procedures to ensure we uphold our brand promise as well as responding to general and escalated pet parent concerns.
Expense Management:
- Drives and identifies opportunities to grow the business and holds associates accountable in achieving store P\&L expectations such as sales and shrink targets.
- Analyzes inventory management reporting to identify trends, opportunities, and root causes.
- Manages expenses such as labor and supplies, as well as any other relevant store metrics.
- Leverages Home Office partners and resources to submit and follow up on store related work orders and purchase card allocation.
Qualifications
- 3\+ years of retail leadership or experience in a customer\-focused environment.
- Full\-time availability required, flexibility in schedule, able to work evenings, weekends, and holidays as needed.
- Proficiency in computer applications.
- Strong written and verbal communication skills.
- Ability to react under pressure and maintain composure.
- Strong organizational skills and attention to detail, particularly in maintaining a visually appealing store layout.
Supervisory responsibility
- Typically oversees up to three (3\) lead associates and up to forty (40\) non\-leader associates. Carries out supervisory responsibilities in accordance with PetSmart’s policies and procedures.
- Responsible for employment decisions and associate development.
Essential physical demands and work environment
- Associate is required to stand, walk, climb a ladder, and use hands to handle, feel, hold, write, etc. The associate frequently is required to reach with hands and arms: stoop, kneel, crouch, talk and hear. Specific vision abilities required by this job include depth perception. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Associate must frequently lift and/or move up to 50 pounds and occasionally team lift and/or move more than 100 pounds. Specific vision abilities required by this job include depth perception.
- While performing the duties of this job, the associate is occasionally exposed to moving mechanical parts, as well as a wet environment with an abundance of pet hair. The noise level is moderate in the work environment; however, associates may be exposed to high levels of noise at times. Exposure to live animals and their handling is common.
Do what you love
Join us for a chance to make a meaningful impact every day. Whether it's helping a customer choose their first fish, celebrating a pet's birthday, or seeing the smile on a pet parent’s face after a fresh groom—you'll create moments that matter . At PetSmart, we cherish diversity and the unique perspectives of our 50,000 associates, all united by a passion for pets.
We’re delighted you’re interested in joining our pack and helping us in our commitment to doing Anything for Pets, and the people who love them. We're excited to hear your story and learn more about you! Apply Now!
PetSmart is an Equal Opportunity Employer
PetSmart provides an equal opportunity for all associates and job applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics. We offer reasonable accommodations to applicants with disabilities throughout our application process, upon request and as required by law.
This job summary is intended to describe the general nature and level of work associates/leaders assigned to this job perform. It is not intended to include all duties and responsibilities. You will be provided with a copy of a job description for the actual position you are hired into. Exact rate of pay will be based on relevant experience level, training, skills or knowledge and store location. In no instance will PetSmart pay less than the local minimum wage. This position is also eligible for a quarterly incentive based on eligible earnings and store performance, as well as benefits, as described at https://benefits.petsmart.com/us/
Applicants must be over the age of 18 (except in Montana or where otherwise required by local or state law)
For applicants in our Waterloo, San Francisco, or Los Angeles locations: Pursuant to the Waterloo and San Francisco Fair Chance Ordinance, as well as the Los Angeles Fair Chance Initiative for Hiring, we will consider for employment, qualified applicants with arrest and conviction records in a manner consistent with the law
\*In accordance with the Affordable Care Act (ACA), part\-time associates who average at least 30 hours per week (or 130 hours per month) during a designated measurement period may be eligible for medical benefits.
Salary Context
This $41K-$79K range is below the median for AI/ML Engineer roles in our dataset (median: $100K across 15465 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 26,159 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At PetSmart, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $166,983 based on 13,781 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $131,300. This role's midpoint ($60K) sits 64% below the category median. Disclosed range: $41K to $79K.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
PetSmart AI Hiring
PetSmart has 2 open AI roles right now. They're hiring across AI/ML Engineer. Positions span Phoenix, AZ, US, Valley Stream, NY, US. Compensation range: $79K - $79K.
Location Context
Across all AI roles, 7% (1,863 positions) offer remote work, while 24,200 require on-site attendance. Top AI hiring metros: Los Angeles (1,695 roles, $178,000 median); New York (1,670 roles, $200,000 median); San Francisco (1,059 roles, $244,000 median).
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (2,416) are outnumbered by mid-level (16,247) and senior (5,153) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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