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About This Role
Why We Are \- Who We Are: About FFF Enterprises
What We Do \- https://www.fffenterprises.com/company/what\-we\-do.html
Position Summary
The Customer Account Coordinator supports processes throughout the Sales Op Operational areas and any other departments as necessary in order to align functions within SAP, reporting systems, and sales operational procedures. Each Coordinator will be part of a 2\-person team and each team member will be responsible for a set group of accounts by state. Responsibilities may vary depending on the group of accounts assigned. List below are the primary responsibilities.
Essential Functions and Duties
Accounts
- Account creation, requests are submitted on credit applications, spreadsheets, and by email
- Changes to existing accounts received by email or updated credit applications
- Ensure that all credit applications are submitted with the necessary information and contact customers as needed to obtain additional information
- Notify the Customer, Financial Services, and the Sales Representative of new/updated account information
- Communicate to the appropriate parties when changes are made on accounts that will affect the following processes: order entry, accounts receivable, commission, pricing, or reporting
- Enter and maintain E Invoicing, Shipment Notification, and Order Confirmation email set up
- ABW creation and maintenance
- Enter and maintain all pertinent fields within the customer database
- Initial account set up and maintenance of EDI, VIPc, MBRx, and other special programs
GPO (Group Purchasing Organization)
- Identify and verify customers GPO using a Microsoft Access Database
- Communicate any changes or additions of a customer’s GPO to the Customer Account Data Specialists
Licensing
- Enter and maintain customer specific licensing and other identifying codes in SAP
- Validate licensing using third party website, if not available licenses must be verified directly on the state website. If validation on the website is not possible, then a call can be placed directly to the agency to verify the license.
- Track and audit license expiration dates on a monthly basis
- Evaluate licensing when there is an address or license change
- Be available through the phone rotation in order to search and validate licensing, while a customer is in the process of placing an order with Customer Service
- Communicate verbally, electronically or by phone for any license exceptions or challenges to those involved in the account – Customer Service, Pricing/Chargebacks, Sales, and Customers
Adjustments
- Verify the validity of each request received
- Manage the complete process for the following type of adjustment transactions
- Field Transfers
- Request received from the Sales rep, facilitate the physical transfer of product, provide the necessary documents to the customer and ensure the customer sends back the completed forms, process the transactions into SAP
- Returns
- Communicating the return process to the customer, send the necessary paperwork, and process the transaction in SAP
- Assist with many types of returns; standard, Flu, Flu Excise Tax, and recalls
- Credit/Rebills
- Requests received for chargeback, discounts, and payer issues
- Enter the credit and rebills into SAP
- General Credits
- Issue credits in SAP for; damaged/disposed offsite, manufacturer product complaint, customer satisfaction, and freight
General Responsibilities:
- Scan documents into SharePoint on a weekly basis
- Clearly communicate challenges and issues verbally, electronically, or by phone.
- Continually develop and maintain company's image and corporate philosophy.
- Continuously strive to improve processes, service quality to internal and external customers, and employee relations.
- Display dedication to the position responsibilities and achieve assigned goals and objectives.
- Support team members with questions or assist with processes.
- Adheres specifically to all company policies and procedures, Federal and State regulations and laws.
- Display dedication to position responsibilities and achieve assigned goals and objectives.
- Always Represent the Company in a professional manner and appearance.
- Understand and internalize the Company’s purpose; Display loyalty to the Company and its organizational values.
- Display enthusiasm and dedication to learning how to be more effective on the job and share knowledge with others.
- Work effectively with co\-workers, internal and external customers and others by sharing ideas in a constructive and positive manner; listen to and objectively consider ideas and suggestions from others; keep commitments; keep others informed of work progress, timetables, and issues; address problems and issues constructively to find mutually acceptable and practical business solutions; address others by name, title, or other respectful identifier, and; respect the diversity of our work force in actions, words, and deeds.
- Comply with the policies and procedures stated in the Injury and Illness Prevention Program by always working in a safe manner and immediately reporting any injury, safety hazard, or program violation.
- Ensure conduct is consistent with all Compliance Program Policies and procedures when engaging in any activity on behalf of the company. Immediately report any concerns or violations.
- Other duties as assigned.
Education, Knowledge, Skills and Experience
Required Education:
- High School diploma or equivalent.
Required Knowledge:
- Proficiency in Microsoft Word and Excel.
Preferred Knowledge:
- Proficient in Microsoft Word, Excel, and Access, above basic knowledge preferred.
Required Experience:
- Minimum of five (5\) years of experience in operations/customer service
Preferred Experience:
- Experience in SAP (ERP System) preferred.
Required Skills:
- Must have strong organizational skills.
- Must have a detail orientation and the proven ability to prioritize work.
- Must have effective verbal and written communication skills.
- Must have the ability to work with limited supervision and as part of a team.
- Sound decision\-making abilities.
- Ability to take on new responsibilities and tasks.
- Ability to solve moderately complex problems.
- Ability to work independently and make decisions based on guidelines of job description.
Physical requirements
Vision, hearing, speech, movements requiring the use of wrists, hands and/or fingers. Must have the ability to view a computer screen for long periods and the ability to sit for extended periods. Must have the ability to work the hours and days required to complete the essential functions of the position, as scheduled.The employee occasionally lifts up to 20 lbs. and occasionally kneels and bends. Working condition include normal office setting.
Mental Demands
Learning, thinking, concentration and the ability to work under pressure, particularly during busy times. Must be able to pay close attention to detail and be able to work as a member of a team to ensure excellent customer service. Must have the ability to interact effectively with co\-workers and customers, and exercise self\-control and diplomacy in customer and employee relations’ situations. Must have the ability to exercise discretion as well as appropriate judgments when necessary. Must be proactive in finding solutions.
Direct Reports
No
EEO/AAP Statement
FFF Enterprises and Nufactor are an equal opportunity employer and prohibits discrimination and harassment based on the following characteristics: race, color, religion, national origin, physical or mental disability, gender, age (40 years and over) qualified veteran and any other characteristic protected by state or federal anti\-discrimination law covering employment. These categories are defined according to Government Code section 12920\. The Company prohibits unlawful discrimination based on the perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics.
Acknowledgement
The above statements are intended to describe the general nature and level of work being performed by the incumbent assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and/or skills required of all personnel so classified.
The undersigned employee acknowledges receipt of the Job Description for the employee’s position and understands the essential functions, responsibilities and qualifications of the position. Furthermore, the employee acknowledges that this Job Description does not include all of the essential functions of this position, and that these essential functions may change as deemed necessary by the manager.
To be considered for a position with FFF Enterprises, Inc, applicants must complete and sign the application.
Employee Benefits Available for FFF Enterprises Team Members
Employee benefits include:
- Medical Insurance
- Dental Insurance
- Vision Discount Program
- Vision Insurance Plan
- Health Savings Account (HSA)
- Flexible Spending Account (FSA)
- Dependent Care Flexible Spending Account
- Employee Assistance Program (EAP)
- Group Life and AD\&D
- Voluntary Supplemental Life Insurance Plans
- Short Term Disability
- Long Term Disability Income Protection
- 401k Profit Sharing Retirement Plan \- Discretionary Match
- Discretionary Bonus
- Supplemental Insurance Plans
- Prepaid Legal/Identity Theft Plan
- Paid Holidays/Vacation/Sick Days
- Seven (7\) Paid Holidays, Two (2\) Week Vacation, Five (5\) Sick Days, and One (1\) Float Day for CA, NC, and TX
All Other States Receive One Hundred Twenty (120\) Hours of PTO
- Tuition Reimbursement Program
- Notary Services
- Employee Referral Bonus
- Vendor Discount Programs
- Corporate Individual Travel Program
(Note: We comply with the ADA and consider reasonable accommodation measures that may be necessary for eligible applicants/employees to perform essential functions. Hire may be subject to passing a medical examination, and to skill and agility tests.)
Salary Context
This $48K-$51K range is in the lower quartile 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 FFF Enterprises, 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 ($49K) sits 70% below the category median. Disclosed range: $48K to $51K.
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.
FFF Enterprises AI Hiring
FFF Enterprises has 2 open AI roles right now. They're hiring across AI/ML Engineer. Positions span Flower Mound, TX, US, Temecula, CA, US. Compensation range: $51K - $240K.
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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