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• Earn more: competitive compensation. $23/hour base with opportunities for additional hours and overtime.
• Compelling Benefits: generous paid time off and health insurance for all full-time employees.
• Independence: spend the majority of your day on the road delivering smiles to customers.
• Stay active: you'll be on the move during your shift as you deliver packages from the delivery vehicle to the customer's doorstep.
• Professional growth: we offer career growth opportunities such as moving into Lead Driver, Dispatcher, or Operations Manager roles, DOT certification, and professional development and training.
• Team environment: a fun, fast-paced, and supportive company culture. Company contests provide a fun opportunity to make more $$$ and win prizes.

• Must be at least 21 years old
• Must have a valid driver's license within the state of employment
• Must be able to move boxes up to 50 lbs, with or without reasonable accommodation
• Must have a positive attitude

Now hiring an experienced Amazon Associate to manage daily responsibilities with a focus on quality and efficiency, maintain accurate records and documentation, and adapt to shifting priorities and business needs.

Other duties include provide excellent service to customers and team members, respond promptly to inquiries and resolve basic issues, assist with organizing, stocking, and general upkeep, work collaboratively across teams and departments, support the preparation and delivery of goods or services, along with assist with processing returns and exchanges, follow safety procedures and company policies, coordinate tasks to ensure deadlines are met, gain knowledge of company offerings to better serve clients.

To excel in this position, you should have a willingness to learn and adapt, good communication skills, reliability and strong work ethic, basic computer literacy, a positive and cooperative attitude, and the ability to follow directions.

Perks of the role may include competitive weekly pay, flexible scheduling, training provided, a supportive work environment, opportunities for advancement, and overtime when available.

Training is available for all motivated applicants.

Move forward with Amazon Full-Time Warehouse Associate and keep products moving safely and efficiently.

In this role, youll pick, pack, scan, sort, or stage orders to hit daily goals, staying on schedule and working with care.

Success comes from people who work with a team that values accuracy, consistency, and hustle Grow your confidence, your skills, and your opportunities over time.

An exciting opportunity awaits for a Amazon Delivery Station Associate to perform responsibilities as a Delivery Station Associate.

Deliver outstanding service to customers and colleagues.

Work with your team to maintain efficiency and high standards.

Perks include competitive pay, flexible scheduling, training opportunities, a supportive workplace, and room for career growth.

Manage and optimize catalogs and listings, including keywords, SEO (titles, bullets, descriptions, backend terms), variations, and media assets.

• Develop A+ Content, Storefronts, and Posts to improve conversion, storytelling, and customer experience.

• Lead full-funnel ad strategy across Sponsored Products, Brands, Display, including structure, targeting, bidding, and ACoS/TACoS management.

• Drive external traffic via affiliates/influencers, social ads, Google Ads, email, content partnerships, and PR.

• Perform bulk uploads/edits and maintain listing health, resolving suppressions and policy issues.

• Use competitive analysis and analytics tools to improve rankings, conversion, ROAS, and sales.

• Partner with creative, operations, and supply chain on assets, launches, and inventory planning.

• Stay current on Amazon policies, algorithms, and marketplace trends

Senior Developer, AI Evaluation & Cloud Infrastructure | Just Horizons Alliance

Join us to build the technical foundation for AI accountability.

The Role

Just Horizons Alliance is an 18-year-old applied research lab focused on ethics and technology. Our current focus is the AI Ethics Index, a measurement framework for evaluating AI systems on ethics, safety, and societal impact.

We need a senior engineer to own the technical infrastructure end-to-end: learn what exists, close critical gaps, and build something that lasts.

The evaluation methodology is validated and in use. We're now at the stage where the systems need to mature alongside the research. This is the first dedicated infrastructure hire for this work, and you'll shape how it scales.

What You'll Do

Months 1–3: Learn the System

Map the current architecture with Sophia Zitman (AIEI Team Lead). Understand the evaluation methodology, the data flows, and the infrastructure that supports them. Identify what needs to evolve for multi-domain benchmarking—reproducibility, security posture, test coverage, deployment pipeline. Begin implementing the highest-priority improvements.

Months 4–6: Build for Scale

Architect the infrastructure to support the next phase of the Index. CI/CD that maintains stability as the system grows. IAM and secret management built for a production environment. Experiment tracking that makes every evaluation run auditable. Documentation that enables the research team to work independently.

Months 7–12: Expand

Multi-domain benchmarking across education, healthcare, finance, and other sectors. Reproducibility standards that meet external scientific scrutiny. A system the research team can extend without engineering support for every change. At this point, the infrastructure should be stable enough that you're focused on capability, not maintenance.

Why This Role Is Difficult

This is infrastructure for a scientific standard, not a product feature.

Correctness and delivery both matter. A bug in the evaluation engine doesn't break a feature, instead it invalidates a measurement. A flawed pipeline doesn't slow things down, it compromises the credibility of the research. At the same time, methodology that never runs in production has no impact. The role requires both rigor and momentum.

You're translating between disciplines. Your stakeholders are researchers, ethicists, and governance specialists. You'll need to take concepts like \"operationalizing an ethical construct\" and turn them into data models and pipelines. This is a translation problem as much as an engineering problem.

The work is novel. There's no existing system to reference. The AI Ethics Index is defining what rigorous AI evaluation looks like. You'll be making architectural decisions in areas where best practices don't yet exist.

You'll have full ownership. This is not a role where you're executing someone else's technical vision. You're setting the direction. That means autonomy, but it also means accountability.

You're probably the right person if

You've built evaluation systems or data pipelines that other people depended on for correctness, not just uptime

You're comfortable with GCP and have deployed containerized workloads in a real production context

You've worked with LLM APIs and understand their reliability and reproducibility characteristics

You can read a paper about measurement methodology and turn it into a working data structure

You build for durability. Your code is still running 18 months later because you thought about the next person

You've worked somewhere between 5 and 50 people and you're comfortable being the person who figures things out without a playbook

You find working on AI ethics infrastructure more interesting than building another e-commerce checkout flow

You're probably not the right fit if

Enterprise environments make up most of your experience. This is not a large-team context

You need clearly defined requirements before you can start. The requirements here evolve through conversation with ethicists

You're based on the West Coast US or expect West Coast US working hours

You mainly build user-facing APIs and features — this is systems and infrastructure work

You're looking for a high-growth startup where shipping speed is everything. This is a scientific organization. Correctness is everything.

Hard Skills

These are the technical capabilities you need going in — or need to be able to build up fast using an AI coding agent. We're not looking for someone who ticks every box. We're looking for someone who closes gaps quickly and knows how to learn.

• Python — strong enough to design systems architecture and reason about failure modes, even if you work with AI assistance for implementation details
• Google Cloud Platform — specifically Cloud Run, IAM design, secret management, and containerized workload deployment in a real production context
• API and model documentation — able to read, write, and navigate API specs and model documentation fluently; you know how to figure out how a system behaves from its documentation without needing someone to walk you through it
• Structured step-by-step reasoning — when you hit a complex problem, you decompose it immediately and visibly into logical steps; you don't disappear into your head and come back with an answer, you think out loud and in sequence, which makes collaboration with the ethics and research team possible
• LLM API integration — understanding the reliability, reproducibility, and failure characteristics of external model endpoints
• Data pipeline architecture — building evaluation or measurement systems where correctness is non-negotiable, not just data-moving
• Experiment tracking and reproducibility standards — always looking to improve the evaluation pipeline; you understand what needs to be tracked, why reproducibility matters scientifically, and you find the right approach for the context without being dogmatic about tooling
• Statistical reliability concepts — enough to understand what inter-rater reliability means for evaluation output and why reproducibility matters scientifically

What you get

The role: You'll work directly with Sophia Zitman (AIEI Team Lead) as the technical backbone of the AI Ethics Index. Full engineering ownership of the evaluation engine.

The comp: Base salary $110,000.

The team: Small, split between ethicists and engineers. You will interview with Janet Kang (Executive Director) and Sophia Zitman (AIEI Team Lead).

The environment: Boston-based non-profit (501(c)(3)). East Coast US or Western Europe time zones. Collaborative but autonomous — Sophia won't micromanage, but she will hold you to a high standard of systems thinking.

The upside: You'll have built the technical foundation of what may become the globally referenced standard for AI system evaluation. That's a meaningful line on any CV — and a genuinely hard thing to have done.

Senior Dynatrace Engineer responsible for designing, implementing, and maintaining enterprise monitoring solutions. The role focuses on ensuring end-to-end observability across applications, infrastructure, and cloud environments using Dynatrace. The engineer will also provide expertise in performance monitoring, troubleshooting, and proactive incident management.

Key Responsibilities

Monitoring & Observability

· Configure, maintain, and optimize monitoring solutions using Dynatrace.

· Provide end-to-end visibility across infrastructure, applications, and services.

· Develop dashboards, alerts, and health checks to monitor system performance.

· Define monitoring thresholds to reduce false alerts and improve reliability.

Infrastructure Monitoring

· Monitor Windows and Linux servers, virtual environments (VMware), and cloud platforms (AWS, Azure, GCP).

· Monitor databases, middleware, and network infrastructure components.

· Identify system trends and capacity requirements with infrastructure teams.

· Proactively detect and resolve system performance issues.

Application Performance Monitoring

· Monitor application performance and transaction flows using Dynatrace APM.

· Implement synthetic monitoring and real user monitoring.

· Collaborate with development teams to ensure comprehensive monitoring coverage.

· Troubleshoot performance issues across applications and systems.

Incident Management

· Support incident response activities related to performance and availability issues.

· Provide monitoring insights during root cause analysis.

· Identify monitoring gaps and improve monitoring coverage.

Continuous Improvement

· Improve monitoring standards, documentation, and best practices.

· Recommend enhancements to monitoring configurations and alerting strategies.

· Integrate monitoring tools with ITSM platforms such as Jira or ServiceNow.

Required Qualifications

Education

· Bachelor's degree in Computer Science, Information Systems, or equivalent experience.

Experience

· Minimum 5+ years of experience in systems engineering, infrastructure support, or monitoring roles.

· 5+ years hands-on experience with Dynatrace or similar APM tools.

· Experience migrating Dynatrace Managed to Dynatrace SaaS environments.

Technical Skills

· Strong knowledge of Windows/Linux servers and VMware environments.

· Experience with cloud platforms (AWS, Azure, GCP).

· Understanding of networking concepts such as DNS, TCP/IP, and load balancing.

· Experience with automation or scripting (PowerShell, Bash).

· Knowledge of monitoring baselines, KPIs, and SLAs.

· Familiarity with enterprise log analysis frameworks and tools like Jira or ServiceNow.

· Experience monitoring containerized environments such as Kubernetes (preferred).

Preferred

· Exposure to AWS Solution Architect Professional Certification.

Soft Skills

· Strong troubleshooting and analytical skills.

· Excellent written and verbal communication.

· Ability to collaborate across technical and business teams.

· Detail-oriented with a proactive approach to system monitoring and reliability.

Premium operates wireless locations in over 1,300 wireless retail outlets via Walmart Supercenter, with a dedicated sales team of over 3,200 brand representatives. As one of Premium's wireless sales professionals, your retail efforts will sincerely connect shoppers with wireless products and solutions they want and need. Sales pros are the go-to wireless experts for our shoppers, closing sales through hustle, creativity, and problem-solving. We're hiring now!

What's in it for you?

• Competitive hourly base rate with unlimited earnings potential.
• Top 25% of sales professionals earn upwards of $20+ per hour (starting hourly rate + resulting commissions).
• Freedom to use your authentic selling style.
• Exciting opportunities for career advancement.
• A culture of excellence and a team invested in coaching.
• Health benefit plans include no-copay telemedicine, regardless of hours worked.

What will you do?

• Meet and exceed sales goals by executing new phone sales, upgrades, and accessory bundling.
• Proactively start conversations with Walmart customers.
• Explain wireless solutions to buyers in simple, easy-to-understand terms.
• Recommend personalized product baskets to buyers.
• Teach shoppers how to enjoy new products through successful setup and activation.
• Keep wireless planogram displays fully stocked and in flawless condition.

How will you succeed?

• Motivating, coaching and leading your team members to complete the tasks at hand. Displaying a high-energy personality and natural ability to start conversations with shoppers.
• Demonstrating resilience and resourcefulness in intercepting customers in a high-traffic environment.
• Staying hungry to excel in an upcapped commission sales role.
• Living up to Premium's name by providing fantastic service while displaying integrity.
• Being able to stand/move around for 8-10-hour shifts.
• Maintaining flexibility to work during peak times, including weekends, evenings, and most holidays.

What experience should you have?

Prior sales experience or existing knowledge of the wireless category is not mandatory, but you must be driven to learn.

So, are you Premium's next wireless sales pro?

#WeArePremium Equal Opportunity Employer (Disabled, Veteran) | Under applicable requirements, such as the San Francisco FCO and the Los Angeles FCHIO, we consider for employment qualified applicants with arrest and conviction records or criminal histories | E-Verify Employer