Scale Ai Inc Address Jobs in Usa

We are looking for a Generative AI Lead to drive the design and delivery of advanced AI solutions for enterprise clients.

This role sits at the intersection of hands-on engineering, system architecture, and technical leadership, focused on building production-grade GenAI systems that solve complex, real-world business problems.

What You’ll Do

• Lead the design and development of enterprise-scale Generative AI solutions
• Architect and implement multi-agent AI systems and retrieval-augmented generation (RAG) pipelines
• Integrate LLM capabilities into business workflows and enterprise applications
• Partner with business stakeholders to translate complex problems into scalable AI solutions
• Guide and mentor engineering teams while maintaining a high bar for technical quality
• Ensure reliable deployment, monitoring, and performance of AI systems (including handling hallucinations, drift, and scaling challenges)
• Optimize infrastructure across cloud environments, including compute and GPU utilization

What We’re Looking For

• Proven experience building and deploying LLM-based / Generative AI applications in production
• Strong hands-on expertise in Python and modern AI frameworks (e.g., LangChain, LlamaIndex)
• Experience designing RAG pipelines, semantic search systems, or knowledge retrieval architectures
• Exposure to multi-agent frameworks (e.g., LangGraph, CrewAI) or similar architectures
• Experience working in cloud environments (AWS, Azure, or GCP) and scaling AI systems
• Demonstrated ability to lead technical teams or initiatives
• Strong communication skills with the ability to collaborate with both technical and business stakeholders

Nice to Have

• Experience working in regulated industries (e.g., healthcare, life sciences, financial services)
• Familiarity with vector databases (e.g., Pinecone, Weaviate)
• Background in enterprise AI platform development or data infrastructure

Why This Role

• Opportunity to build real-world GenAI systems at scale (not just prototypes)
• Own end-to-end architecture and delivery, from concept to production
• Work on high-impact use cases across enterprise clients
• Collaborate with cross-functional teams across engineering, product, and business

About MathCo

MathCo is a global Enterprise AI and Analytics company helping Fortune 500 organizations solve complex business problems through data and AI. Our work spans advanced analytics, AI platforms, and scalable solutions that deliver measurable business impact.

Join Our Mission to Bridge the Digital Divide - Through AI!

Position: Programs Manager (AI Curriculum - Higher Ed) - Austin, Texas (Hybrid or Remote)

Salary Range: USD 55,000 - 75,000 annually (with a 3-month probation)

Location: Preference for Austin, Texas; remote possible

Travel: Occasional travel required with reasonable notice and accommodations

About Us

Sustainable Living Lab USA (SLL LLC USA) is part of a global movement, HQ in Singapore, offices in India, Indonesia, Japan, and the USA, to make technology inclusive, accessible, and sustainable. We design and deliver innovative education programs that equip learners with essential digital and AI skills - from US community colleges to grassroots organizations worldwide.

About the Role

We’re seeking a dynamic, articulate, and adaptable Programs Manager (AI Curriculum for HigherEd)to support the global expansion and US localization of our AI education programs.

This role involves delivery, curriculum creation, and program development, ideal for someone confident in discussing AI with non-technical audiences, passionate about learning, and eager to influence AI upskilling’s future. You’ll lead technical Train-the-Trainer (TTT) sessions with professors from community colleges and universities both virtually and in-person helping them develop/integrate technical AI concepts as part of their certifications/degrees.

This role blends delivery, curriculum design, and program development, ideal for a flexible, self-motivated individual with a growth mindset who thrives in ambiguous environments, constantly finding solutions to new problems.

Key Responsibilities

1. AI Programs Training & Facilitation (TTT Model)

• Lead virtual and in-person technical Train-the-Trainer (TTT) workshops across US, supporting partners in vocational education and workforce institutions worldwide.
• Ensure participants understand the content and are equipped to customize it for local contexts and learner needs.
• Develop and implement standardized training regimens and SOPs tailored for cross-cultural, regional, and state-wide implementation partners.
• Translate core AI, ML, DL, and Python concepts into engaging, beginner-friendly lessons sensitive to language diversity and digital fluency levels - but also able to deliver technical concepts like Maths for AI, Data science, and Agentic AI topics in depth.
• Conduct engaging and informative training sessions utilizing a standardized curriculum.

2. US Programme & Business Development (SMEs, Colleges, Universities, K12, communities)

• Manage the continuity and expansion of SLL's US programs, particularly within its extensive network of 140+ community colleges and universities spanning 40+ states.
• Work with the team to position SL2 as a leading partner in AI and emerging tech education for the US community college and vocational sector.
• Scale educational programs with school districts, community colleges, and universities, focusing on out-of-school programs and boot camps.
• Scale AI Community Engagements with clubs, societies, and foundations.
• Identify and articulate compelling use-case stories for workforce development partnerships.
• Support engagements with colleges, government agencies, and employers to co-develop bespoke AI education pathways.

3. Content Development and Productization

• Collaborate with internal teams to evolve and update existing programs and co-create new offerings.
• Lead the creation of slide decks, training decks, and other content as a core part of the role.
• Contribute to productizing key experiential learning offerings such as hands-on coding challenges and platform-based simulated work experiences.
• Help localize material for US-based institutions, aligning with skills frameworks and employer demand.
• Co-deliver experiential coding/skilling events, ensuring the core product is designed for global scalability and is adaptable to various educational levels, including tailoring project focus for different competitions for community college and university students.

What We're Looking For

• HigherEd/SME Training Experience: Minimum of 3 years in Higher Ed, training, or facilitation working with HigherEd/SMEs, including at least 2 years focused on technical or digital skills. Experience working across cultures and time zones is highly valued.
• Tech & Learning Aptitude: Intermediate to high knowledge of Python and AI/ML/DL/Agentic AI/Maths for AI/Data concepts. Strong personal interest in the evolving AI landscape and comfort with explaining complex topics to beginners. Experience or enthusiasm for Vibe Coding, digital hackathons, or collaborative prototyping is a plus.
• Communication & Facilitation: Fluent, clear-spoken English and strong public speaking skills. Able to adjust tone, pace, and clarity based on audience (e.g., teachers vs. college professors vs. workforce leaders). A strong presence on MS Teams/Zoom or in person - whether running a classroom session, hackathon, or partner presentation.
• Mindset & Tools: Adaptable, self-motivated, and collaborative. Skilled in using tools like Zoom, Google Workspace, and Teams, and eager to learn new platforms and facilitation techniques.
• Location & Eligibility: Preference for candidates based in Austin, TX, but open to strong remote applicants. Must be authorized to work in the US.

Why Join Us?

• Make Global Impact: Empower teachers and workforce educators across continents to teach AI confidently and contextually.
• Shape the Future of the US Workforce Skilling: Co-create impactful AI programmes for colleges and workforce partners across the US.
• Creative & Collaborative Culture: Work with a mission-driven team that values experimentation, equity, and lifelong learning.
• Featured Benefits: Medical insurance (100% employer contribution), 14 days annual leave, 14 days medical leave, and paternity and maternity leave. We request that the candidate to have their own device.

Ready to Apply?

Send your resume and a short, authentic cover letter to with the subject line: “Programs Manager (AI Curriculum) - U.S.” Please write authentically, and use AI tools with discernment.

Please include:

• Your expected monthly salary in USD
• Your current location and time zone
• Your availability to start
• Any accommodation requests (if applicable)

SLL LLC USA is an Equal Opportunity Employer. We celebrate diversity and are committed to building an inclusive workplace. If you need accommodations during the application process, please let us know.

AI & Business Systems Manager

Christopher Homes, a nationally acclaimed luxury residential developer and home builder, has been creating Nevada’s finest neighborhoods since 1981. Within four decades, we have developed over 2,000 homes with a total value of over $1 Billion.

Our experience and reputation for developing luxury residential neighborhoods is unmatched. Of note, Christopher Homes has been awarded over 150 national and local awards for design excellence, which include: 19 Home of the Year awards, 7 Community of The Year awards, and recognized as the Homebuilder of the Year by the National Association of Homebuilders (NAHB), and numerous other awards.

Our Purpose



Enhancing lives by creating innovative homes and communities that inspire and reflect the unique interests of our residents. How we do anything is how we do everything. We are creators. The foundation of our success is rooted in our culture and our most valuable resource is our people. We are a diverse group made up of smart, creative, and dedicated people that are passionate about transforming the modern living experience.

Position Overview

The AI & Business Systems Manager is a senior, hands-on role responsible for designing, governing, and operationalizing artificial intelligence across Christopher Homes’ real estate development and luxury homebuilding platform. The manager will report to our CFO. This role requires deep, proven experience in real estate development and residential construction combined with advanced applied AI, data, and enterprise systems expertise.

The manager can work on-site or have a hybrid schedule.

This individual will lead the transformation of fragmented data and disconnected systems into a clean, structured, AI-ready ecosystem that improves efficiency, reduces costs, enhances forecasting, and elevates the customer experience. This is not a research role—this position focuses on practical, secure, ROI-driven AI embedded directly into daily workflows.

This is a full-time, individual contributor role with enterprise-wide responsibility and visibility.

Key Responsibilities

AI STRATEGY & IMPLEMENTATION (PRIMARY FOCUS)

·      Design and execute an enterprise AI roadmap aligned with real estate development and homebuilding workflows

·      Embed AI directly into core systems including Procore, ERP, Buildtopia, HubSpot, and Microsoft platforms

·      Identify and deploy AI use cases for:

–        Cost control and variance detection

–        Schedule and cycle-time optimization

–        Purchasing and vendor analysis

–        Warranty trend prediction and root-cause analysis

–        Marketing performance and lead intelligence

·      Automate repetitive, manual, and error-prone processes using AI and intelligent workflows

·      Ensure all AI solutions are secure, compliant, and aligned with data privacy best practices

DATA ARCHITECTURE, CLEANUP & GOVERNANCE

·      Assess, clean, normalize, and structure data across all business systems

·      Establish data standards, naming conventions, and governance policies

·      Eliminate duplication, silos, and inconsistent data definitions

·      Ensure data integrity to support reliable AI-driven insights and decision-making

·      Prepare data architecture to support future scalability and AI maturity

REAL ESTATE DEVELOPMENT & CONSTRUCTION SYSTEMS LEADERSHIP

Serve as the internal expert on how AI supports:

              – Land development

            – Vertical construction

-- Purchasing and contracts

            – Design center operations

            – Warranty and post-close service

·      Deeply understand how data flows through real estate development and homebuilding lifecycles

·      Optimize system usage to reflect how the business actually operates—not generic software assumptions

·      Partner with vendors, consultants, and software providers during system enhancements or ERP transitions

BUSINESS PARTNERSHIP & CHANGE MANAGEMENT

·      Translate real estate development and construction challenges into AI-enabled solutions

·      Partner closely with executive leadership and department heads

·      Educate teams on AI tools, best practices, and responsible usage

·      Adoption of AI-enabled workflows across the organization

REPORTING, FORECASTING & DECISION INTELLIGENCE

·      Build AI-powered dashboards, reports, and forecasting tools

·      Improve visibility into costs, schedules, risks, and performance

·      Enable leadership to make faster, more accurate, data-driven decisions

REQUIRED QUALIFICATIONS   

·      8+ years of experience in real estate development, residential construction, or homebuilding environments

·      Demonstrated, hands-on experience applying AI to real business systems

·      Deep understanding of development and construction workflows, terminology, and financial drivers

·      Proven ability to organize, clean, and govern complex operational and financial data

·      Experience with enterprise systems such as:

            – Procore

            – ERP systems (Sage 100 Contractor or similar)

             – Buildtopia (Purchasing, Design Center, Construction and Warranty)

            – CRM & Marketing platforms

            – Microsoft ecosystem (including Copilot)

·      Strong understanding of data security, privacy, and compliance in business environments

·      Ability to operate independently and drive outcomes without direct supervision

STRONGLY PREFERRED

·      Luxury single-family or for-rent residential development experience

·      Experience leading ERP transitions or system integrations

·      Applied knowledge of predictive analytics and automation in construction

·      Ability to communicate complex technical concepts to non-technical stakeholders

IDEAL CANDIDATE PROFILE

·      Deeply grounded in real estate development and construction

·      Business-first mindset with strong technical execution

·      Focused on measurable ROI, efficiency, and cost savings

·      Disciplined, pragmatic, and trustworthy with sensitive data

·      Comfortable building foundational systems before scaling AI initiatives

**Candidate must be willing to go into office 3 days a week**

Senior Full-Stack AI & Data Engineer – Contract

RBA is an established leader and trusted partner for enterprise and mid-size organizations seeking to transform their business through technology solutions. As a Digital and Technology consultancy, we combine strategic insight with technical expertise to deliver impactful, scalable solutions that align with business goals. We take pride in working with some of the most recognized companies in our market—while fostering a culture that blends challenging career opportunities with a collaborative, fun work environment.

We are seeking a Senior Full-Stack AI & Data Engineer to join our growing Data & AI practice, supporting a high-impact client. In this role, you will lead the design and development of end-to-end AI-powered applications that drive personalization, predictive analytics, and next-generation digital experiences.

You’ll partner with business stakeholders, product teams, and engineers to build production-grade AI solutions—from data pipelines and model development to APIs and user-facing applications. The ideal candidate brings deep expertise across the full stack, modern data platforms, and generative AI technologies, with a passion for solving complex business challenges through innovative solutions.

Responsibilities

• Design and develop end-to-end AI-powered applications, including backend APIs and user-facing interfaces, to enable scalable and intuitive AI solutions.
• Build and maintain robust APIs using technologies such as Node.js, NestJS, or FastAPI, and develop modern web applications using React or similar frameworks.
• Develop, fine-tune, and deploy machine learning models using frameworks such as PyTorch and Scikit-learn.
• Implement advanced generative AI solutions, including Retrieval-Augmented Generation (RAG) pipelines and multi-modal AI applications.
• Design and build agentic AI systems using frameworks such as LangChain, enabling multi-step reasoning, tool use, and automation.
• Architect and optimize end-to-end data pipelines (ETL/ELT) using Python, SQL, and orchestration tools such as Airflow.
• Manage and integrate data workflows within Snowflake, leveraging technologies such as Snowpark or Cortex.
• Implement monitoring and observability for AI systems, including tracking model performance, drift, latency, and reliability.
• Design and deploy cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines across AWS, Azure, or GCP.
• Collaborate with business stakeholders to translate data into actionable insights and intelligent applications.
• Contribute to DevOps best practices, including infrastructure-as-code (Terraform) and automated testing.
• Mentor junior engineers and promote best practices in AI ethics, data governance, and code quality.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience across full-stack development, including backend (Node.js/Python) and frontend frameworks (React or similar).
• Strong experience designing and building data pipelines and modern data platforms, including expertise in SQL and data modeling.
• Proven experience deploying AI/ML solutions in production environments, including MLOps and model lifecycle management.
• Hands-on experience with generative AI technologies, including LLMs, prompt engineering, and RAG architectures.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of DevOps practices, including CI/CD, containerization, and infrastructure-as-code (Terraform).
• Excellent communication skills and ability to work effectively in client-facing environments.

Preferred Qualifications

• Experience with Snowflake, including Snowpark, Cortex, or similar data platform capabilities.
• Experience building agent-based AI systems or working with frameworks such as LangChain.
• Familiarity with vector databases and semantic search architectures.
• Experience developing mobile applications using React Native or Flutter.
• Knowledge of mobile architecture, UI/UX principles, and API integration patterns.
• Experience deploying applications to Apple App Store or Google Play Store.
• Familiarity with security and authentication protocols, including OAuth2, biometric authentication, and secure data handling.
• Cloud or data platform certifications (AWS, Azure, GCP, Snowflake, or similar).

Leadership & Culture

• Demonstrate leadership through mentorship, technical guidance, and promoting engineering best practices.
• Balance innovation with pragmatism—able to work across cutting-edge AI solutions and foundational data engineering tasks.
• Thrive in a collaborative, fast-paced consulting environment with a strong focus on client impact and delivery excellence.

Local candidates only. You must be a W2 employee and we can not work with third party clients.

Software Engineer – Generative AI Applications |

Company’s Early Clinical Development (ECD) team is looking for a Software Engineer to design and build next‑generation applications that integrate generative AI into clinical development workflows. You’ll work with AI scientists, full‑stack engineers, and cross‑functional partners to deliver innovative, user‑centric tools that support Clinical Science, Operations, Medical Writing, Regulatory, and Quality teams.

What You’ll Do

• Develop and deploy software that integrates LLMs and AI‑driven capabilities
• Build intuitive front‑end interfaces and scalable backend services
• Design and maintain RESTful APIs and deployment pipelines
• Write clean, well‑documented, testable code; participate in code reviews
• Stay current on AI/ML advancements and evaluate new technologies
• Collaborate with data scientists, engineers, and product teams to embed AI into clinical development tools
• Monitor production systems and optimize performance

Who You Are

• Full‑stack engineer with strong experience building AI‑enabled applications
• Deep understanding of modern AI/LLM capabilities, limitations, and best practices
• Strong communicator who can work across scientific and technical teams

Minimum Requirements

• Bachelor’s or Master’s in CS, Engineering, Math, or related field
• 5+ years full‑stack development experience
• Expertise with Vue.js or React, plus backend frameworks (FastAPI, Django, Flask, Next.js)
• 2+ years building or deploying AI/ML applications
• Experience with REST APIs, prompt engineering, and containerized workflows (Docker, Kubernetes)
• Strong automated testing skills (unittest, jest, Playwright)
• Familiarity with Agile development
• Experience with AWS, Snowflake, and scalable system design
• Experience integrating LLMs, RAG systems, or chatbots

Preferred

• Experience with LLM fine‑tuning, AI agents, HuggingFace, LangChain, TensorFlow, or PyTorch
• Experience with Office.js add‑ins, WebSockets, JWT, or CRDTs (Yjs)
• Background using NLP/LLMs on clinical text or knowledge of clinical development

AI SaaS SALES - Healthcare Billing Startup

FTE | Bethpage, NY | Onsite Hybrid (4/1 with flexibility)

Company Overview:

Our client is a growing technology company that has developed an AI software platform that assists out-of-network doctors and healthcare providers in navigating the complexities of the No Surprises Act and automates their billing processes. The company operates as a SaaS provider, offering a fixed-cost solution that is unique in the market. They have over twenty clients and are revenue generating.

Role Overview:

They are seeking a hungry, ambitious, and driven Salesperson to join our team. This individual will be instrumental in expanding their client base by selling to out-of-network healthcare practices and third-party billers. This is a foundational sales role within a startup environment, offering significant growth potential.

Key Responsibilities:

Product Mastery - Complete an initial three-month in-office training period to thoroughly learn the AI software platform and its functionalities

Client Engagement - Travel to meet with prospective clients to conduct demos and close sales

Lead Generation - Utilize various tools and company resources (e.g., existing email lists, online resources, industry conferences) to identify and engage new leads

Sales Cycle Management - Perform cold calls, get "foot in the door," schedule meetings, and deliver compelling product demonstrations

Stakeholder Communication – Learn about client needs and present the software's value proposition to office managers, billing managers, doctors, and related “decision makers”

Required Qualifications & Candidate Profile:

• 2+ years of sales experience preferred but all ambitious individuals eager to be part of a growing AI company will be considered
• Polished presentation skills
• Strong capacity to learn complex systems and product details quickly
• Possessing a proactive sales mindset, comfortable with cold outreach and persistent follow-up
• Must be able to commute to the Bethpage office for the initial training period (3-4 months)

Associate Account Executive | AI & Cloud Infrastructure Sales

Core 4 Solutions | Eden Prairie, MN | On-site

Build a career selling the infrastructure that powers AI, cloud computing, and modern data centers.

Core 4 Solutions is growing rapidly and we’re looking for motivated individuals who want to build a career in enterprise technology sales. Our team works in one of the fastest-growing areas of technology, helping organizations deploy the infrastructure that powers cloud computing, artificial intelligence, high-performance computing, and modern data centers.

You do not need to meet every qualification listed to apply. If you are interested in the role and think you could succeed, we encourage you to apply.

Early on, much of the role will involve working inbound leads, qualifying opportunities, and learning the technology and sales process. Training and ramp time are expected, and we invest heavily in helping new team members build the knowledge and skills needed to succeed.

New team members receive structured onboarding and mentorship from experienced sales leaders while learning both the business and technical side of enterprise infrastructure sales.

Successful team members grow into Account Executive roles over time.

• Respond to and qualify inbound leads from customers interested in enterprise IT infrastructure and cloud environments

• Conduct outbound prospecting to identify and engage potential customers

• Utilize sales tools and CRM platforms to track leads and help build a strong sales pipeline

• Conduct outreach through phone, email, and other channels to set qualified meetings

• Work alongside senior sales executives to qualify opportunities and support active deals

• Learn to assess customer needs and position Core 4’s solutions across servers, GPUs, storage, networking, and cloud infrastructure

• Manage and track outreach efforts to ensure follow-ups and next steps are executed efficiently

• Attend industry conferences and networking events when applicable

• Participate in ongoing training to strengthen sales techniques and industry knowledge

• Strong communication and interpersonal skills

• Willingness to work from our office in Eden Prairie, MN

• A motivated, self-directed mindset and desire to achieve goals

• Interest in learning the technology behind modern cloud, AI, and data center infrastructure

• Ability to stay organized while managing a high volume of leads and follow-ups

• Comfort initiating conversations with new prospects and qualifying opportunities

• Willingness to work in a salary + commission compensation structure

• Willingness to travel occasionally for industry conferences and events

• A desire to learn, grow, and advance within a fast-paced sales organization

Previous experience in sales, business development, recruiting, hospitality, athletics, or other customer-facing roles can be helpful, but is not required.

Our sales team works hard, moves quickly, and supports each other. We take the work seriously but keep the environment collaborative and informal. People here tend to be curious, competitive, and willing to roll up their sleeves to figure things out together.

If you enjoy being around teammates who celebrate wins, learn from losses, and push each other to improve, you’ll fit right in.

This role provides hands-on mentorship from experienced sales professionals and exposure to complex enterprise technology deals across cloud infrastructure, data center hardware, and emerging AI workloads. Many successful enterprise sales professionals start their careers in roles like this and grow into Account Executive positions.

This role offers a base salary plus commission structure.

Base salary: $50,000 – $60,000 depending on experience

Expected On-Target Earnings (OTE):

• Year 1: $65,000 – $75,000

• Year 2: ~$90,000

• Year 3: $110,000+

Top performers can exceed these ranges as they ramp and take on larger opportunities.

If you're excited about the opportunity and believe you could succeed in this role, we encourage you to apply.

Key Responsibilities

• Serve as the primary computational lead on drug discovery projects, making AI/ML-derived insights central to critical Go/No-Go decisions rather than supplementary information.
• Establish and implement active learning loops that are realistic for wet-lab execution, statistically sound, and tightly integrated with experimental teams — moving beyond one-way prediction handoffs.
• Translate complex biological and chemical challenges into well-defined computational problems; pinpoint high-impact bottlenecks in the discovery pipeline where AI can meaningfully boost the probability of technical success.
• Collaborate closely with medicinal chemists, DMPK/ADME scientists, and biologists to design multi-parameter optimization strategies that incorporate synthetic accessibility, biological relevance, and ADMET considerations.
• Promote a culture that balances technical rigor with practical impact in drug discovery; mentor junior computational scientists on both model development and effective application to real-world project challenges.
• Evaluate and integrate promising external innovations — from academic research to emerging tools and startups — to strengthen internal capabilities.

Qualifications

• PhD in a quantitative field (e.g., Computer Science, Chemistry, Physics, Biology, or related) with a strong emphasis on molecular or life sciences.
• 3+ years of post-PhD industry experience in a pharmaceutical/biotech drug discovery setting, with demonstrated leadership in driving discovery projects and deep familiarity with the full drug project lifecycle.
• Strong knowledge of medicinal chemistry principles, ADMET/Tox concepts, and pharmacokinetic/pharmacodynamic considerations; ability to diagnose why a model may underperform in practice despite good benchmark metrics.
• Expert-level proficiency in modern AI/ML techniques (e.g., deep learning, generative models, graph-based methods, active learning), combined with practical judgment on when simpler approaches outperform complex ones.
• Record of first-author publications in high-impact journals or conferences relevant to computational chemistry, AI for science, or drug discovery.
• Proven track record where computational work directly influenced molecule progression, project strategy, or key decisions in a discovery program.
• Strong communication skills with a demonstrated ability to convey complex technical ideas and their strategic business value to cross-functional teams and senior leadership.

This role offers the opportunity to lead transformative AI applications in one of the most impactful areas of modern drug discovery.

Location: Cub Foods Chaska

Reports to: Assistant Store Director / Store Director / Department Manager

Classification: Union

Rate of Pay: Progressive scale up to $20.50 hour / depending on experience

Hours: Sunday – Saturday, varied hours

Jerry’s work perks:

• Store Discount
• Employee Assistance Programs
• Flexible Schedule

Individuals applying for this position should be willing to:

• Make lasting connections with our customers
• Provide employee supervision and work direction as necessary to keep everyone busy
• Problem solve quickly and communicate any store issues to management
• Assist with merchandising and receiving products to keep our shelves full (may be some heavy lifting-up to 50lbs)
• Help maintain a safe store
• Work with the team on all tasks necessary to have an awesome store

Jerry’s would love to see an individual who:

• Is friendly and outgoing and promotes customer service for the entire team
• Has experience working in a supervisory management position
• Knows about planning, coordinating, and managing a store’s daily functions
• Attended Food Safety training
• Is motivated to grow their career and continue learning

GROW with Jerry’s

G ain new lifelong skills in customer service

Enjoy a R ewarding work environment with a diverse group of coworkers

Experience O pportunities for career advancement

Maintain a flexible W ork schedule

*To really make an impression, mention Jerry’s University, DMA, RMC, PIT Certification in your resume

Position functions and physical responsibilities may vary by location

FREQUENT:

Physical

• lifting/carrying over 50 lbs., pushing/pulling to 2000 force lbs.
• walking, reaching, standing, stooping/bending, squatting, kneeling
• repetitive motion: turning, bending

Equipment Operation:

• forklift, pallet jack, carts, box cutter, compactor, baler, scanner, register, scale, check approval machine, coupon machine, paging system

Mental

• judgment/decision making, social skills/verbal interaction, memorization, reading, writing basic computer skills

Environmental

• extended exposure to cold temperatures and wet surfaces

OCCASIONAL:

Mental

• math/calculation

Physical

• climbing ladders

FREQUENT: 15% of the work shift or at least ten repetitions per work shift

OCCASIONAL: Approximately less than 15% of the work shift or fewer than 10 repetitions per work shift

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.