Store Team Leader Jobs

Apply to join our team today! Warehouse Worker roles starting at $24.90 per hour. The pay range is $24.90 to $27.90 per hour. You may also earn additional compensation in the form of a shift differential, ranging from $2.00 to $3.50 per hour, based on eligibility. Please apply with as much open availability as possible! As a progression TM, there is an opportunity to grow your pay based on your tenure in your role. What does a role as a Warehouse Worker look like? Follow all safety policies and procedures to ensure a safe working environment for all team members. Attend safety trainings to learn how to work safely in a fast-paced warehouse environment. Pack, load, and ship items to stores and guests. Ensure accurate processing of merchandise to our stores and guests. Work safely, quickly and efficiently to handle freight and move inventory throughout the warehouse. Maintain a neat, clean, and organized work area. Report to work on time and complete job tasks as assigned accurately and on time. Engage in problem solving to support continuous improvement. Maintains positive and respectful attitude while working independently and in a team environment. Please note job duties may change at any time due to business needs. Job requirements: Able to lift and carry merchandise weighing 35-50 lbs. frequently throughout a shift. Able to lift and carry merchandise weighing up to 60 lbs. occasionally throughout a shift. Able to push utility carts up to 60 lbs., use carts, hand trucks, and other equipment to move items. Stand, walk, push, pull, squat, bend, and reach during shifts

Apply to join our team today! Warehouse Worker roles starting at $24.25 per hour. The pay range is $24.25 to $28.66 per hour. You may also earn additional compensation in the form of a shift differential, ranging from $2.00 to $3.50 per hour, based on eligibility. Please apply with as much open availability as possible! As a progression TM, there is an opportunity to grow your pay based on your tenure in your role What does a role as a Warehouse Worker look like? Follow all safety policies and procedures to ensure a safe working environment for all team members. Attend safety trainings to learn how to work safely in a fast-paced warehouse environment. Pack, load, and ship items to stores and guests. Ensure accurate processing of merchandise to our stores and guests. Work safely, quickly and efficiently to handle freight and move inventory throughout the warehouse. Maintain a neat, clean, and organized work area. Report to work on time and complete job tasks as assigned accurately and on time. Engage in problem solving to support continuous improvement. Maintains positive and respectful attitude while working independently and in a team environment. Please note job duties may change at any time due to business needs. Job requirements: Able to lift and carry merchandise weighing 35-50 lbs. frequently throughout a shift. Able to lift and carry merchandise weighing up to 60 lbs. occasionally throughout a shift. Able to push utility carts up to 60lbs, use carts, hand trucks, and other equipment to move items. Stand, walk, push, pull, squat, bend, and reach during shifts. <

Apply to join our team today! Warehouse Worker roles starting at $21.85 per hour. The pay range is $21.85 to $25.02 per hour. You may also earn additional compensation in the form of a shift differential, ranging from $2.00 to $3.50 per hour, based on eligibility. Please apply with as much open availability as possible! As a progression TM, there is an opportunity to grow your pay based on your tenure in your role. What does a role as a Warehouse Worker look like? Follow all safety policies and procedures to ensure a safe working environment for all team members. Attend safety trainings to learn how to work safely in a fast-paced warehouse environment. Pack, load, and ship items to stores and guests. Ensure accurate processing of merchandise to our stores and guests. Work safely, quickly and efficiently to handle freight and move inventory throughout the warehouse. Maintain a neat, clean, and organized work area. Report to work on time and complete job tasks as assigned accurately and on time. Engage in problem solving to support continuous improvement. Maintains positive and respectful attitude while working independently and in a team environment. Please note job duties may change at any time due to business needs. Job requirements: Able to lift and carry merchandise weighing 35-50 lbs. frequently throughout a shift. Able to lift and carry merchandise weighing up to 60 lbs. occasionally throughout a shift. Able to push utility carts up

Apply to join our team today! Warehouse Worker roles starting at $24.50 per hour. The pay range is $24.50 to $26.95 per hour. You may also earn additional compensation in the form of a shift differential, ranging from $2.00 to $3.50 per hour, based on eligibility. Please apply with as much open availability as possible! As a progression TM, there is an opportunity to grow your pay based on your tenure in your role. What does a role as a Warehouse Worker look like? Follow all safety policies and procedures to ensure a safe working environment for all team members. Attend safety trainings to learn how to work safely in a fast-paced warehouse environment. Pack, load, and ship items to stores and guests. Ensure accurate processing of merchandise to our stores and guests. Work safely, quickly and efficiently to handle freight and move inventory throughout the warehouse. Maintain a neat, clean, and organized work area. Report to work on time and complete job tasks as assigned accurately and on time. Engage in problem solving to support continuous improvement. Maintains positive and respectful attitude while working independently and in a team environment. Please note job duties may change at any time due to business needs. Job requirements: Able to lift and carry merchandise weighing 35-50 lbs. frequently throughout a shift. Able to lift and carry merchandise weighing up to 60 lbs. occasionally throughout a shift. Able to push utility carts up to 60 lbs., use carts, hand trucks, and other equipment to move

Apply to join our team today! Warehouse Associate roles starting at $20.70 per hour. The pay range is $20.70 to $22.80 per hour. Warehouse Worker roles starting at $23.10 per hour. The pay range is $23.10 to $25.55 per hour. You may also earn additional compensation in the form of a shift differential, ranging from $2.00 to $3.50 per hour, based on eligibility. Please apply with as much open availability as possible! As a progression TM, there is an opportunity to grow your pay based on your tenure in your role. What does a role in Warehouse Operations look like? Follow all safety policies and procedures to ensure a safe working environment for all team members. Attend safety trainings to learn how to work safely in a fast-paced warehouse environment. Pack, load, and ship items to stores and guests. Ensure accurate processing of merchandise to our stores and guests. Work safely, quickly and efficiently to handle freight and move inventory throughout the warehouse. Maintain a neat, clean, and organized work area. Report to work on time and complete job tasks as assigned accurately and on time. Engage in problem solving to support continuous improvement Maintains positive and respectful attitude while working independently and in a team environment. Please note job duties may change at any time due to business needs. Based on business needs and requirements for a role within Warehouse Operations, you will be considered for the role of Warehouse Worker or Warehouse Associate based on your responses to the questionnaire and assessment you’ll complete during the application process. Requirements associated for each of these roles are outlined below. Additional details on the specific job d

The MongoDB Database Experience team is a diverse group of contributors working together to help our users manage MongoDB at global scale. This includes building tools for MongoDB Atlas: our database as a service offering and fastest growing product which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes. We're seeking a Senior Software Engineer to join our Developer Tools Team within the Database Experience department. The team is responsible for tools which allow users to interact with their data and to understand the health and performance of their MongoDB deployments. The Developer Tools Team works on a variety of APIs and customer-facing UIs empowering MongoDB users to interact with their stored data, whether that’s on desktop via MongoDB Compass or in the browser via Atlas Data Explorer. This role is fully remote for a candidate based in the United States with US citizenship. We're looking for someone who Is a full stack engineer with a willingness to take on both frontend tasks and backend tasks Has experience with the design and architecture of a modern, scalable, high availability web application Has experience working with databases Enjoys collaboration and being part of a team Is approachable, curious, and intellectually honest Would enjoy chasing down difficult problems in a distributed environment Always strives to expand their knowledge Nice to Haves Knowledge of database internals and tuning mechanisms, particularly indexing Previous work in TypeScript, React, and Node.js, particularly maintaining an ecosystem of dependencies Experience working with websocket based client to server communication Familiarity with developing and supporting microservice based architectures using Kubernetes About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and d

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for a Brand Designer who can establish a clear visual direction for product storytelling and drive it through to execution: someone with a narrative mindset expressed visually, who can turn complex product strategy and feature detail into a story people actually feel for major product launches. You'll partner closely with product marketing, strategists, copywriters, designers, product designers, and motion designers to create storyboards, styleframes, and visual directions that translate product strategy and features into captivating stories across launches and key product moments. This role is ideal for a designer who thinks in stories, loves the intersection of design and motion, and wants to shape how Figma's product shows up in the world, with clarity, emotion, and craft. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Turn product strategy, market context, and feature complexity into storyboards and styleframes that carry the launch story Partner with copywriters, designers, motion designers, strategists, and producers to build narrative-driven assets across launches Help evolve Figma's visual storytelling system and apply it consistently Own visual direction on launch storytelling projects from early concepting to final delivery Push new visual formats and directions; don't just execute the existing playbook We'd love to hear from you if you have: A portfolio that shows strong visual point-of-view ca

About the Team The Consumer Product Marketing team helps people understand how ChatGPT can fit into their lives. We connect customer insight with product strategy and development, working across disciplines to bring meaningful products to people around the world. Our consumer subscriptions work focuses on showing people what they get with a paid ChatGPT plan and helping them decide when upgrading makes sense. About the Role As the Product Marketing Lead, Consumer Subscriptions, you will lead the product marketing strategy for ChatGPT's consumer subscription portfolio, including Go, Plus, and Pro. You will shape how customers discover and adopt paid plans while bringing a clear customer perspective to product and business decisions about how those plans are designed and tiered. You will partner closely with Product, Pricing, and Growth to define each plan's audience, positioning, value proposition, and priority use cases, and bring evidence-backed recommendations to pricing and packaging discussions. You will be accountable for driving paid-plan adoption and will lead work across product launches, plan education, premium positioning, and the customer story on pricing and plan pages across ChatGPT.com and OpenAI.com . This role calls for an individual contributor who can turn customer, market, competitive, and behavioral insights into clear subscription strategies and customer stories. You will guide senior stakeholders through tradeoffs, align partners without formal authority, adapt positioning for global markets, build scalable frameworks, and mentor peers. Success in this role means helping more free users recognize the value of ChatGPT's paid plans and turning that understanding into measurable growth in free-to-paid conversion. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead consumer subscription product marketing across ChatGPT's p

About the Team The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and engineering teams across OpenAI to support lawful data access requests and other critical legal workflows. Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls. About the Role We’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations. You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable. This role is well suited to someone who enjoys translating ambiguous operational requirements into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows. In this role, you will: Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit. Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly. Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows. Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences. Identify responsible automation opportunities that reduce repetitive work while preserving human review, judgment, and accountability. Own production systems through testing, observability, incident response, documentation, and continuous reliability improvements. Hel

About the Team The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and engineering teams across OpenAI to support lawful data access requests and other critical legal workflows. Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls. About the Role We’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations. You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable. This role is well suited to someone who enjoys translating ambiguous operational requirements into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows. In this role, you will: Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit. Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly. Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows. Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences. Identify responsible automation opportunities that reduce repetitive work while preserving human review, judgment, and accountability. Own production systems through testing, observability, incident response, documentation, and continuous reliability improvements. Hel

About the Team The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and Engineering teams across OpenAI to support lawful data access requests and other critical legal workflows. Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls. About the Role We’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations. You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable. This role is well suited to someone who enjoys translating ambiguous operational requirements into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows. This role is based in San Francisco, CA, with two additional locations under consideration: London, UK, and Dublin, Ireland. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit. Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly. Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows. Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences. Identify responsible automation o

About the Team We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We are looking for an experienced Research Engineer to work on retrieval & search problems across our API and ChatGPT. As the AI landscape has evolved over the last few years, retrieval & search have emerged as key use cases for our models, and we are investing in ensuring that we can offer these search-based product experiences for our users. You will be at the center of our retrieval & search efforts as a company, and the progress you drive here will reach millions of end users. In this role, you will: Work on retrieval & search algorithms and methodologies in close collaboration with our research team, including problems in such domains as document search, enterprise search, knowledge retrieval, and web-scale search. Deploy these search methodologies into production in both the API and ChatGPT to be used by millions of end users. Explore novel research topics in retrieval & search that may inform our product strategy in the medium and long term. Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world You might thrive in this role if you: Have extensive prior experience building and maintaining production machine learning systems. Have prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases Have prior experience building and iterating on internet-scale search systems Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done Have the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or de

About the Team The Scaling team is responsible for the architectural and engineering backbone of OpenAI’s infrastructure. We design and deliver advanced systems that support the deployment and operation of cutting-edge AI models. Our work spans system software, networking, platform architecture, fleet-level monitoring, and performance optimization. About the Role We’re hiring an SW Engineer to enable production workloads and end-to-end testing on new platforms. This role will include creating new test harnesses and platform stress benchmarks, porting existing inference and training workloads to new, sometimes early-access, systems/hardware, analyzing performance and bottlenecks, and characterizing the end-to-end behavior of new systems (compute, comms, storage, control plane, and failure modes). Key Responsibilities Port and validate key inference and training workloads on new platforms/SKUs as they arrive; drive correctness, performance, and stability to an internal readiness bar. Build a suite of benchmarks and stress tests that capture real E2E behavior of our workloads by exercising all aspects of a system, including CPU, GPU, memory subsystem, frontend, scale-up, and scale-out networking (including WAN traffic, NVlink and RDMA collectives), storage, thermals, and any other relevant parts. Deep-dive performance on distributed training/inference: Collective performance and tuning (across NCCL/RCCL and internal libraries) Overlap of compute/communication, kernel-level bottlenecks, memory bandwidth and scheduling effects Create repeatable test harnesses that run in CI / lab environments and produce actionable outputs (pass/fail, performance score, regression detection). Partner with systems + fleet bring-up engineers to ensure the platform is not only stable and performant, but also operationally usable and scalable (containerization, K8s integration, telemetry hooks, failure triage loops). Work cross-functionally with vendors and internal stakeholders by producing

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performa

Databases and data stores are at the center of our applications, for legacy applications and modern AI applications alike. Yet most observability and optimization approaches lack a holistic approach or application context. Datadog has been on a mission to revolutionize how databases are operated, flipping what is often seen as a black box of complexity prone to security and performance risks, into a well oiled machine enabling our builders and businesses to move faster and smarter. We’re looking for an experienced product manager passionate about joining this mission to lead this product opportunity. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead ambitious investments that rethink how customers operate and get value from their databases, diving into ambiguity, working with our customers on new models, and shipping new products and changes to existing products. Develop a deep understanding of our customers and their issues, what problems are really behind those issues, and how we can improve how databases are operationalized across SRE teams, DBAs and application developers. Continuously refine your understanding of database management systems and datastores from SQL and OLTP based to NoSQL e.g. AWS RDS, PostgreSQL, SQL Server, MongoDB, MySQL, etc Define, build and launch the next generation of database monitoring and optimization capabilities for our customers Join a talented engineering team with a record of disrupting observability approaches to further the mission of demystifying and optimizing databases using your team’s creativity, alongside your customers’ problems, as a key resource. Collaborate with other Product teams in Datadog to maintain and improve all Datadog products, improve the seamless integration across th