Sales Jobs in Monroeville

Full Time Salary Exempt position available!

Minimum of two years senior living sales experience required

Pay: Starting at $70,000 per year; commission

Scope of Supervision: Supervises all First Impressions, Receptionist/Concierge and the Move-In Coordinator (if applicable). Liaisons with Members of the Leadership Team.

Role: Integral part of the Leadership Team that is responsible for sales (prospects and leads) and marketing (referral source contacts) of the community.

We’d love to talk with you about joining our team!. Apply today to learn more!

Responsibilities:

• Develops, monitors and manages the marketing budget within established guidelines by implementing sales and marketing plans, updating progress at least monthly; communicates and partners daily with internal community admission, clinical and operations teams regarding pending referrals and admissions.
• Responsible for developing and organizing a networking/community outreach program with focus on clinical professionals including hospitals, physicians, sub-acute rehabs, etc. to maintain referral and admission volume with plan for consistent daily, weekly and monthly visits as necessary.
• Meets or exceeds all sales and marketing metrics while ensuring that a census of budgeted occupancy or higher is maintained; Sets, tracks and accomplishes goals on a timely basis for completed calls, mailings, referrals, generated appoints set, presentations and admissions.
• Oversees and coordinates new resident move-ins; Conducts effective sales meetings; Makes oral and written reports weekly; Provides tour and customer service training with associates; Submits recommendations to Executive Director related to budget items.

Requirements:

• A High School Diploma, an Associate, or Bachelor’s Degree in Marketing is desired.
• Two years of Sales experience in Senior living
• Previous sales and/or marketing experience in healthcare or service-related setting.
• Knowledge of the physiology and psychology of the older adults and the needs of the caregiver.

Equal Opportunity Employer

Job Type: Full-time

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Experience:

• Senior Living Sales: 2 years (Required)

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, we’re a fast-growing startup with real customers. Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We're seeking a talented Senior Data Engineer to build and scale the data infrastructure that powers our retail technology platform. As a key member of our early-stage team, you'll design and implement robust data pipelines, establish best practices for data engineering, and enable data-driven decision making across the organization. This is a unique opportunity to shape the data foundation of a growing startup and work with cutting-edge technologies in both batch and streaming data processing.

What you’ll do:

• Design and implement scalable data pipelines for both batch and streaming workloads using Python and Spark 
• Build and maintain cloud-native data infrastructure to support our retail analytics and operational needs 
• Develop real-time streaming solutions to process transaction, inventory, and operational data 
• Develop AI agents to automate operations 
• Implement data quality validation and monitoring to ensure reliability across our data ecosystem 
• Establish DataOps best practices and automation as we scale our data infrastructure Own data security and privacy compliance as we handle sensitive customer and business data 
• Collaborate closely with product, engineering, and business teams to understand data requirements and deliver solutions 
• Mentor team members and contribute to building a strong data engineering culture 

What we’re looking for:

• 5+ years of hands-on data engineering experience 
• Strong proficiency in Python for data processing and pipeline development
• Production experience with Apache Spark for large-scale data processing
• Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure)
• Proven track record implementing both batch and streaming data pipelines
• Deep understanding of SQL and modern data warehouse technologies 
• Strong knowledge of data modeling, ETL/ELT patterns, and workflow orchestration Experience with distributed systems and cloud infrastructure 
• Excellent problem-solving and analytical skills 
• Strong communication skills with ability to translate business needs into technical solutions Thrives in fast-paced, early-stage startup environments with changing priorities 

Nice to have:

• Experience in retail tech, e-commerce, or similar enterprise systems 
• Expertise with real-time processing frameworks like Kafka, Kinesis, or Flink
• Proficiency with Python data handling libraries (pandas, NumPy, polars) 
• Knowledge of data quality and observability platforms 
• Understanding of event-driven architectures, medallion architectures, and CDC patterns 
• Previous experience at an early-stage startup or building data infrastructure from scratch 
• Background working with multi-tenant SaaS platforms or enterprise analytics systems
• Experience with container orchestration (Docker, Kubernetes) 
• Knowledge of DataOps and MLOps best practices

Apply today to join a small, senior team working on problems that sit at the core of how global retailers operate.

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We are seeking a Machine Learning Engineer who understands the heartbeat of retail. In this role, you will build the intelligence that helps major retailers make critical merchandising decisions, balancing profit, revenue, and inventory health.

You will sit at the intersection of ML Engineering, Retail Strategy, and Data Science. Your work will power the "brain" of our platform, transforming raw sales data and competitive signals into actionable pricing strategies and clear insights for merchants and buyers.

What you’ll do:

• Design and deploy models specifically for retail challenges, such as demand forecasting, price elasticity at the SKU level, seasonality detection, and markdown optimization.
• Evolve our Python-based optimization engine to handle complex retail constraints (e.g., maintaining brand standards, psychological price points, and inventory sell-through targets).
• Engineer systems that explain the "why" behind a price change. You will translate model outputs into merchant-friendly insights (e.g., "We recommend a markdown here because competitor X dropped price and inventory depth is high").
• Develop logic to optimize products across their entire lifecycle—from initial price setting to promotional strategies and final clearance.
• Build robust data pipelines to ingest and process diverse retail datasets, including POS transactions, competitor scraping, and inventory feeds.
• Work closely with product managers to understand the needs of category managers and pricing analysts, ensuring our algorithms solve real-world merchandising pain points.

What we’re looking for:

• 3+ years of experience building production ML systems using Python, Scikit-learn, or PyTorch, with a focus on regression and time-series forecasting.
• A strong understanding of (or deep interest in) retail mechanics—how inventory turns, gross margin, and sell-through rates drive business success.
• Familiarity with mathematical optimization techniques and how to apply them to business constraints (e.g., linear programming, constraint satisfaction).
• Expert SQL skills and ability to model complex data relationships (e.g., parent-child product hierarchies, store clusters).
• The ability to look at an optimization result and explain the business logic behind it. You can debug not just code, but the retail logic.
• Bachelor’s degree in Computer Science, Data Science, Machine Learning, Mathematics, or a related technical field.

Nice to have:

• Master’s degree in Artificial Intelligence, Computer Science, Operations Research, or Statistics.
• Experience in Retail Analytics, E-commerce, Supply Chain, or Revenue Management.
• Familiarity with "Explainable AI" (XAI) tools to make black-box models transparent to business users.
• Experience handling sparse data or cold-start problems (e.g., pricing new products with no history).

Steel City tells stories. We are looking for someone to help tell the story of Steel City at our retail location. We want an outgoing, positive person who loves creating conversations with customers and is passionate about our brand.

Here's what you'll need to be able to do:

• Drive daily sales goals by keeping team members focused and engaged
• Run the day-to-day operations of the store
• Ensure that the sales floor and back rooms are clean, restocked and merchandised properly
• Assist with training Sales Associates 
• Always find ways to improve processes

Perks! 

• Sales incentives and $250 signing bonus
• Monthly clothing allowance
• Employee discount
• Free merchandise from the employee bin
• New Hire Welcome - Store Credit
• Free coffee Fridays 
• Clean kitchen stocked with snacks and drinks
• Be a part of the growing Steel City team 
• Open availability is required.

Steel City Brand is a premium apparel brand rooted in craftsmanship and industrial heritage. We are seeking a Retail Manager to oversee store performance, hiring, retention, and execution at our retail location. This is a hands-on leadership role focused on accountability, team stability, and consistent results.

Performance:

• Own sales performance.
• Set and manage monthly and quarterly sales targets.
• Monitor KPIs including conversion, AOV and growth.
• Implement weekly huddles with store associates.

Operations:

• Maintain high standards for visual merchandising and store presentation.
• Ensure consistent execution of brand standards.
• Clearly communicate with team when new product is arriving and related selling points.

Leadership

• Coach and develop store associates.
• Address performance issues directly and promptly.
• Foster a culture of accountability and ownership.
• Maintain strong communication.

What We're Looking For:

• 3–5+ years retail leadership experience.
• Demonstrated experience improving store performance.
• Strong hiring track record.
• Highly organized and KPI-driven.
• Confident communicator who leads with clarity and accountability.

Compensation: 

• Competitive pay
• Sales incentives and signing bonus
• Monthly clothing allowance
• Employee discount
• Open availability is required.

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, we’re a fast-growing startup with real customers. Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We're seeking an exceptional Head of Engineering to lead our technical organization through our next phase of growth. As our engineering leader, you'll build and scale our team, establish technical excellence, and drive the development of products that delight our customers. This is a unique opportunity to shape the engineering culture and technical foundation of an early-stage startup with ambitious goals.

What you’ll do:

• Lead engineering teams in designing and implementing scalable, cloud-native architectures for AI-powered, agent-based applications 
• Drive technical strategy and establish engineering best practices across the organization with an AI-first approach 
• Oversee the development lifecycle from planning through deployment using modern CI/CD pipelines 
• Champion security-first development practices and ensure compliance with industry standards 
• Mentor and develop engineering talent while fostering a culture of innovation and continuous improvement 
• Build and maintain a hybrid engineering culture with effective collaboration practices across in-office and remote team members 
• Collaborate with product, design, and business stakeholders to align technical solutions with retail customer needs 
• Establish and monitor engineering KPIs, system performance metrics, and technical debt management 
• Lead incident response protocols and ensure high availability of production systems 

What we’re looking for:

• 10+ years of software development experience, including 5+ years in engineering leadership roles
• Strong application development background with hands-on experience scaling production systems
• Proven track record of scaling engineering teams from ~5 to 50+ engineers
• Ability to define who to hire and when, aligned to business and product priorities
• Experience building and maturing software development practices
• Deep expertise in modern programming languages, frameworks, and architectural patterns Strong understanding of distributed systems, microservices, and cloud infrastructure (AWS, GCP, or Azure) 
• Experience building and scaling multi-tenant SaaS platforms 
• Familiarity with modern data engineering, machine learning operations, or AI/ML infrastructure 
• Experience with DevOps practices, containerization (Docker, Kubernetes), and infrastructure as code 
• Experience with database design, optimization, and data architecture strategies
• Demonstrated ability to build and lead high-performing remote and distributed teams Excellent communication skills with ability to translate technical concepts for non-technical stakeholders 
• Strong knowledge of Agile, Scrum, or other iterative development methodologies

Nice to have:

• Expertise in building platform engineering capabilities and developer experience initiatives Knowledge of observability tools and practices, particularly Honeycomb or similar event driven observability platforms 
• Experience with security frameworks, penetration testing, and compliance requirements (SOC 2, GDPR, HIPAA) 
• Early-stage startup experience with ability to thrive in ambiguous, fast-moving environments 
• Experience in retail tech, e-commerce, or similar enterprise software platforms 
• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience 

Apply today to join a small, senior team working on problems that sit at the core of how global retailers operate.

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, Profitmind is backed by a recent strategic investment from Accenture, and scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

We’re looking for a multi-disciplinary AI Engineer to design, implement, and deploy LLM-driven agents with strong backend and front-end integration. You’ll be leading efforts across LLM agent design, prompting, fine-tuning, and MLOps, while building real-world, production-grade applications with modern web technologies.

The ideal candidate combines a strong foundation in Python and AI with practical experience in agent frameworks like LangGraph, PydanticAI, and Google ADK, as well as FastAPI and front-end development.

What you’ll do:

LLM Agents & Prompt Engineering

• Architect and implement LLM agents using frameworks like LangGraph, PydanticAI, and Google ADK.
• Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor).
• Integrate vector databases (e.g., FAISS, Pinecone, pgvector) and knowledge graphs (Neo4j) to support retrieval-augmented generation (RAG) and long-term chatbot memory.
• Design and maintain high-quality prompt strategies for robustness and reliability.

FastAPI, Model Context Protocol (MCP) & Backend

• Develop and maintain scalable APIs using FastAPI, supporting synchronous and asynchronous agent execution.
• Integrate Model Context Protocol (MCP) to enable secure and structured access to external data and tools within agent workflows.
• Implement state tracking, context-aware input dispatch, and modular plugin integration within the control plane.

Evaluation, Testing & Observability

• Build unit and behavioral tests for agents, tools, and workflows.
• Develop tooling for trace analysis, agent state debugging, and hallucination tracking.
• Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability.

Model Fine-Tuning & MLOps

• Fine-tune models using LoRA, QLoRA, or full fine-tuning pipelines.
• Integrate, deploy, and monitor models in production using cloud providers.
• Set up agent logging, observability dashboards, and recovery workflows.

Front-End & UX

• Familiar with React, TypeScript, Next.js, or similar frameworks
• Understanding of front-end and back-end integration for AI tools
• Ability to build basic dashboards or agent interfaces
• Integrate agents into interfaces
• Speak the language of UI 

What we’re looking for:

• 3+ years experience with Python in ML/AI systems and PyTorch or Tensorflow
• 1+ years experience with LLM agent development, prompt engineering, and frameworks like
• LangGraph, PydanticAI, and Google ADK.
• Experience with fine-tuning LLMs.
• Familiarity using vector stores like ChromaDB, Weaviate, or pgvector.
• Production experience with FastAPI, Docker, and MLOps
• Expert in Agentic Coding IDEs (Windsurf, Cursor or Claude Code)
• Bachelor’s or Master's degree in computer science

Nice to have:

• Open-source contributions to LLM/agent tooling
• Knowledge of async programming, websockets, and streaming APIs

What we offer:

• Competitive compensation and equity
• Comprehensive benefits including medical, dental, vision, etc.
• Unlimited and flexible PTO

Profitmind is building the intelligence behind how retailers make pricing and merchandising decisions. Today, many of these decisions are still driven by spreadsheets, rigid rules, and manual judgment, even at the largest brands.

Our platform turns complex data such as sales, inventory, and competitive signals into clear, explainable recommendations merchants can trust. Our platform focuses on impact, helping retailers improve margin, inventory health, and decision quality at scale. 

Based in Pittsburgh, we’re a fast-growing startup with real customers. Profitmind is backed by a recent strategic investment from Accenture, and is scaling its agentic AI platform to power decision-making for some of the world’s largest retailers.

About the role:

Profitmind is looking for a Full-Stack Software Engineer to help build and evolve the core product experience across both the frontend and backend. This role is frontend-heavy, but requires comfort working across the stack, including writing SQL queries and supporting backend data access in a JavaScript/TypeScript environment. 

You’ll work closely with product, design, and engineering to turn complex data, workflows, and AI-driven functionality into experiences that feel simple, fast, and purposeful. This is a hands-on role for a mid-level engineer who can operate independently and work with the team to deliver features end-to-end.

What you’ll do:

• Build and maintain modern, responsive user interfaces across our web applications
• Develop and maintain reusable UI components within the core Profitmind product
• Work in a full-stack JavaScript/TypeScript environment, supporting both frontend features and backend data needs
• Write and maintain SQL queries to support product functionality and analytics use cases
• Support front-end and back-end integration for AI-powered tools and workflows
• Build dashboards and agent-style interfaces that make complex outputs easy to understand
• Write automated tests for frontend and full-stack functionality as part of a high-quality development process
• Ensure strong performance, accessibility, and cross-browser compatibility
• Iterate quickly based on user feedback and evolving product direction

What we’re looking for:

• 4–5 years of professional software development experience preferred
• Strong, hands-on experience building frontend applications using modern frameworks such as React, TypeScript, Next.js, or similar
• Comfort working across the stack in a JavaScript/TypeScript codebase
• Ability to write SQL queries independently and work with relational data on the backend
• Experience building data-driven user interfaces, dashboards, or analytics-heavy applications
• A pragmatic approach to automated testing and code quality
• High attention to detail and pride in delivering polished, usable software
• Ability to work independently in a fast-moving, product-driven environment
• Experience with enterprise, data-heavy, or analytics-focused products is a plus

What we offer:

• Competitive compensation and equity
• Comprehensive benefits including medical, dental, vision, etc.
• Unlimited and flexible PTO

This is a full-time position based in Pittsburgh, PA, though remote candidates will be considered on a case-by-case basis.

Apply today to join a small, senior team working on problems that sit at the core of how global retailers operate.

About the role:

The Fast Track Sales Program at TQL is an opportunity to build a career with an industry leader that offers an award-winning culture, high earning potential with uncapped commission and significant opportunities for compensation and advancement. We will pay to relocate you to Cincinnati, Ohio to train with some of the top brokers in the company. Once you’ve completed training and built a solid book of business, TQL will pay to relocate you again to any of our 60+ offices nationwide. Our best in-class training and mentorship program will teach you everything you need to know about sales, logistics and supply chain management. For a look at a day in the life of a TQL Sales Representative, watch this video at IS LOCATED IN CINCINNATI - PAID RELOCATION PROVIDED

What’s in it for you:

• $50,000-$55,000 minimum compensation your first year, based on education
• Includes base salary, sign-on bonus and housing allowance
• Uncapped commission opportunity
• Our average sales representative hits six figures after three years of selling
• Want to know what the top 20% earn? Ask your recruiter
• Relocation assistance package to help you get settled in Cincinnati

Who we’re looking for:

• You compete daily in a fast-paced, high-energy environment
• You’re self-motivated, set ambitious goals and work relentlessly to achieve them
• You’re coachable, enjoy solving problems and thinking on your feet
• College degree preferred, but not required
• Military veterans encouraged to apply

What you'll do:

• Receive 6 months of direct training from experienced Logistics Account Executives
• Help your account executive solve customer needs, find carriers for time-sensitive freight and manage daily operations
• Participate in hands-on and virtual training sessions
• Develop negotiation skills through prospecting and cold calling
• Build your book
• Use your training to meet sales metrics and become eligible for commission
• Establish relationships to close new customers
• Negotiate prices with customers and carriers
• Resolve freight issues to ensure timely pickup and delivery

What you need:

• Elite work ethic, 100% in-office
• Strong negotiation skills with ability to handle conflict
• Entrepreneurial mindset and exceptional customer service

Why TQL:

• Certified Great Place to Work with 900+ lifetime workplace award wins
• Outstanding career growth potential with a structured leadership track
• Comprehensive benefits package
• Health, dental and vision coverage
• 401(k) with company match
• Perks including employee discounts, financial wellness planning, tuition reimbursement and more

Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1 etc.) will not be considered.