Simplicity Patterns Jobs in Usa

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  

Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. 

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

• Drive all aspects of chip design, including Functional Specification, Micro-architecture, RTL development, Synthesis.
• Managing external ASIC vendor through product development cycle.
• Work closely with PD team members for design closure to meet PPA goals.
• Work closely with Design verification and DFT teams for achieving the best functional and test coverage.
• Work with software and system teams to understand opportunities to deliver optimal performance and feature set for the product.
• Debug silicon-level functional, timing, and power issues during bring up.

• Master’s degree in Computer Science, Electrical Engineering, or equivalent.
• Can work in a hybrid work environment. 
• 8-15 years of experience in delivering complex, high performance high quality RTL designs.
• Experience with Front End Chip integration and third-party IP integration.
• Demonstrated experience in networking, high-performance computing, machine learning or related fields.
• Proven track record of multiple silicon success.
• Experience collaborating and managing external vendors.
• Experience with designing/integrating  high speed IO.
• Networking stack experience including TCP/IP, RDMA and Ethernet.
• Knowledge of PCIe, CPU interfaces and Serdes technology.
• Working knowledge of scripting tools : Python, TCL.

• Experience with FPGA development toolchain, including Place and Route, Floor planning and Timing Analysis is a plus.

 The base salary range for this position is $175,000 to $275,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

This offer is contingent upon Cerebras successfully obtaining an export license from the U.S. Department of Commerce’s Bureau of Industry and Security authorizing the release to you of certain software source code and/or technology that is subject to the Export Administration Regulations. However, we can make no assurances with respect to the final disposition of an export license application.

People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

1. Build a breakthrough AI platform beyond the constraints of the GPU.
2. Publish and open source their cutting-edge AI research.
3. Work on one of the fastest AI supercomputers in the world.
4. Enjoy job stability with startup vitality.
5. Our simple, non-corporate work culture that respects individual beliefs.

Read our blog: Five Reasons to Join Cerebras in 2026.

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Performs manufacturing engineering tasks under minimal guidance that are varied and complex, which require troubleshooting and interpreting data. Develops and implements new test methods or manufacturing processes purpose of reducing costs and improving efficiency.

Job Responsibilities

1. Performs a variety of engineering assignments to develop and implement production/processing methods and controls to meet quality standards in a cost efficient manner
2. Provides liaison support between the engineering department and manufacturing
3. Recommends and implements improvements and/or modifications for sequence of operations, equipment utilization and related matters
4. Monitors assigned operations to assure compliance with current project schedules and approved quality standards
5. Makes recommendations regarding the purchase or building of new equipment or modernization of existing production/processing equipment
6. Recommends design modifications or process changes during design of new products
7. Evaluates current technologies for cost reduction and for product and production improvement; check and approve drawings/designs, standard work as well as develop new systems
8. Manages the install of new tools, fixtures, and equipment into the facility.
9. Monitors and supports facility metrics for safety, quality, delivery and cost
10. Performs other duties as assigned

Job Skills Requirements

• Extensive knowledge of engineering concepts, practices and procedures engineering standards and systems
• Comprehensive knowledge of manufacturing production/cell development
• Ability to read and interpret computer aided drawings and prints
• Ability to manage projects
• Strong interpersonal skills to interact with and motivate a diverse group of people
• Strong written and verbal communication skills
• Fluent in English and primary language used in area of responsibility and/or location

Education

Bachelor's Degree in Engineering or Related field

Experience Requirements

• Five years of engineering experience in a high-volume manufacturing environment

Physical & Environmental Requirements

Briggs & Stratton, headquartered in Milwaukee, Wisconsin, provides innovative products and diverse power solutions to help people get work done. Briggs & Stratton is the world’s largest producer of engines for outdoor power equipment, and is a leading designer, manufacturer and marketer of lithium-ion battery, standby generator, energy storage system, lawn and garden, turf care and job site products through its Briggs & Stratton®, Vanguard®, Ferris®, Simplicity®, Snapper®, Billy Goat®, Allmand®, SimpliPhi®, Branco® and Victa® brands. Briggs & Stratton products are designed, manufactured, marketed and serviced in more than 100 countries on six continents.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  

Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. 

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

As a Test Development Engineer on our manufacturing team you will be working with diagnostics, system design, manufacturing, and quality teams to develop test automation solutions for our products from PCBA to system level. You will also work closely with our contract manufacturing sites to fulfill a complete test automation solution for manufacturing test data, yield improvement, and traceability.

• Develop and design manufacturing test automation software/scripts to test Cerebras products from PCBA to system level.
• Develop and implement GUI solutions for test automation.
• Work with our contract manufacturers to develop and implement a test data reporting portal for manufacturing traceability and analysis.
• Sustain our current test software and infrastructure and help root cause and resolve any manufacturing test software issues or hardware defects.
• Design a web interface for user to modify/edit settings from mySQL database on AWS.
• Setup the various infrastructures at our manufacturing sites to support test equipment and server operation.
• Interact with contract manufacturing site for all the technical issues relating to manufacturing test.
• Work with diagnostics, system design, manufacturing and quality team to bring up test automation suites for the new products.

• Bachelors in computer science, electrical engineering, or other related field.
• 5+ years of experience in test automation, test development or related experience.
• Skilled in C/C++, Visual Studio, Python programming languages.
• Good knowledge of js, MySQL, SQL, SQL Server Reporting Service.
• Good knowledge of Pexpect, SSH, Telnet, RS-232, bash script.
• Good knowledge of Windows, Linux, Ubuntu, Centos, VNC viewer, Console server.
• Debugging skills and knowledge of debugging complex software stack.

• Experience in GUI development.
• Experience in Web development.
• Experience in API development.

The base salary range for this position is $170,000 to $210,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

1. Build a breakthrough AI platform beyond the constraints of the GPU.
2. Publish and open source their cutting-edge AI research.
3. Work on one of the fastest AI supercomputers in the world.
4. Enjoy job stability with startup vitality.
5. Our simple, non-corporate work culture that respects individual beliefs.

Read our blog: Five Reasons to Join Cerebras in 2026.

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Account Manager – Frederick & Westminster, Maryland

Rove Cannabis

Rove is one of the fastest-growing premium cannabis brands in the nation. We believe in honesty, simplicity, and transparency. Our goal is to provide customers with the highest-quality products that taste great and are created with them in mind.

Rove is seeking a vibrant, hungry, enthusiastic, and self-motivated Account Manager to join our Maryland team, based in or near Frederick or Westminster, MD. This is a full-time, exempt, W-2 position that involves extensive regional travel (up to 90%) throughout Maryland. Account Managers typically work 40+ hours per week and are eligible for gas reimbursement and a full benefits package (following a waiting period).

For the right candidate, this is a fantastic opportunity to build or continue a career in one of the most dynamic and impactful industries of the century.

About the Role

As an Account Manager, you will be the face of Rove to our valued customers and in-market strategic partners. By educating customers on our brands and products, you’ll play a key role in growing Rove’s presence across the Maryland cannabis market. You’ll gain valuable sales and marketing experience through industry events, networking, and hands-on market activation.

The ideal candidate is outgoing, driven, genuinely interested in Rove’s products, and eager to be coached by our Sales & Marketing team. If you love meeting people, traveling, and representing a respected brand in a fast-growing market, this role is for you.

Responsibilities

• Collaborate with the sales and marketing team to develop customer success strategies that drive growth within existing accounts
• Conduct cold outreach to dispensaries and delivery services throughout Maryland
• Execute vendor days by educating customers and consumers on Rove products, pricing, services, and brand values
• Recommend promotional strategies to retail partners while maintaining brand integrity
• Manage event kits, materials, and visual merchandising displays
• Perform inventory counts at dispensaries carrying Rove products
• Serve as the face of the brand and communicate Rove’s mission and core values
• Build and maintain long-term relationships with retail buyers and staff
• Develop sales strategies and consistently meet or exceed sales goals
• Plan and execute regional marketing and promotional initiatives
• Stay current on product offerings and industry trends
• Address customer needs and issues promptly and professionally
• Maintain accurate activity records using CRM tools
• Demonstrate deep product knowledge and enthusiasm for the brand
• Lead by example with integrity, accountability, teamwork, and respect
• Availability to work evenings and weekends as needed (with notice)
• Ability to lift or move up to 50 pounds and perform manual tasks as required

Qualifications

• Must be 21 years of age or older
• Strong commitment to excellent customer service
• 1–3 years of experience in account management and/or outside sales preferred
• Excellent organizational and time-management skills
• Strong verbal communication and presentation abilities
• Ambitious, self-motivated, and trustworthy
• Critical thinking skills with flexibility in a fast-paced environment
• Ability to work independently with strong follow-through
• Valid driver’s license and reliable vehicle required for extensive travel

Compensation

• Salary Range: $70,000–$75,000 annually (based on experience)
• Bonus/Commission: Up to 20% of base salary

Benefits

Rove offers a competitive benefits package that’s hard to find in the cannabis industry, including:

• Weekly reimbursement for all approved business expenses
• Weekly gas reimbursement
• Unlimited PTO for full-time salaried employees
• 40 hours of sick leave and bereavement leave annually
• Medical insurance through Anthem Blue Cross Blue Shield (up to 80% employer-paid after 60 days)
• Dental and vision plans (employee-paid)
• 401(k) and Roth 401(k) options (after 60 days)
• Private Accident Insurance
• Private Life Insurance
• Pet Insurance

Our client, a large, complex enterprise organization, is looking for a Principal AI Engineer to serve as the lead architect and hands-on builder of a unified AI Platform as a Service (PaaS) a secure, multi-tenant foundation that helps internal teams build and operate semantic discovery, conversational experiences, and autonomous agent workflows at scale.

Summary:

The Principal AI Engineer will design and build an enterprise-grade “AI operating layer” that turns modern foundation model capabilities into a governed, reusable platform used across multiple business domains. This role balances approximately 40% hands-on development with 60% platform strategy, personally building core orchestration services, standardized capability interfaces, and trust/safety guardrails. The platform will enable teams to deploy specialized agents that can collaborate via defined protocols, securely access grounded knowledge sources, and execute autonomous tasks within a controlled, high-availability runtime.

Location: Remote (U.S.) / Hybrid options may be available based on client needs.

Compensation Range: $145,000 - $250,000 per year plus RSUs & Bonus

Benefits: Very competitive benefits

Responsibilities

• Architect and deliver a self-service AI platform that provides reusable patterns, reference implementations, and standardized building blocks for internal engineering teams.
• Define and communicate a multi-year platform roadmap, ensuring technical priorities map to enterprise outcomes and adoption goals.
• Design and implement stateful orchestration (state graphs/state machines) to handle planning edge cases, recovery, and self-correction in autonomous workflows.
• Build and operate secure remote tool gateways (e.g., MCP-style servers) and implement controlled function-calling interfaces for connecting agents to sensitive enterprise systems.
• Establish interoperability standards for agent-to-agent collaboration, enabling autonomous discovery and reliable task handoffs across independently built agent solutions.
• Design an agent identity and authorization layer that supports fine-grained permissions, auditable actions, and strong accountability for autonomous behaviors.
• Implement a unified knowledge layer using semantic retrieval and multimodal grounding to support accurate, “source-aligned” responses and decisions.
• Build long-term context persistence (“memory”) using retrieval and graph-based storage to preserve institutional knowledge and improve continuity over time.
• Create a trust and evaluation layer with automated testing pipelines to measure quality, safety, cost, latency, and reliability of agent behavior across tenants.
• Own runtime lifecycle management for agent sessions, ensuring high availability, persistence, scalability, and controlled rollout patterns.
• Lead deep code reviews focused on agent-specific failure modes (runaway loops, tool misuse, state growth, unreliable calling patterns) and implement mitigations.
• Optimize inference performance and spend through techniques such as prompt caching, model routing, and workload-aware runtime strategies.
• Act as a technical multiplier by mentoring senior/staff engineers on advanced agentic patterns, evaluation methods, and production hardening.
• Partner closely with Cloud and Infrastructure teams to influence enabling services and platform primitives needed for enterprise AI delivery.
• Raise the bar on engineering quality via documentation, profiling, reliability improvements, and ongoing performance tuning.

QUALIFICATIONS:

Required:

• 10+ years of software engineering experience, including 4+ years operating at a Principal/Architect level.
• 2+ years architecting and shipping LLM-based systems, with demonstrated experience taking agentic solutions into production at scale.
• 5+ years working in agile delivery environments.
• Google Cloud Professional Cloud Architect certification.
• Proven ability to lead technical workstreams and translate business needs into durable platform architectures.
• Strong expertise in asynchronous orchestration (e.g., Python) plus proficiency in a statically typed language (Java, Go, or Rust) for high-concurrency platform services.
• Hands-on experience with stateful graph orchestration patterns and frameworks (e.g., LangGraph/ADK-style approaches) to power robust reasoning workflows.
• Strong cloud-native experience with CLI tooling and Infrastructure-as-Code; proven ability to deploy and scale containerized workloads using container orchestration and serverless platforms.
• Experience designing and operating distributed architectures at scale, including vector stores, graph databases, and structured data pipelines.
• Deep knowledge of multi-agent design patterns and the ability to extend or replace off-the-shelf orchestration when scaling, safety, or reliability requires it.
• Working understanding of modern agent reasoning approaches (Chain-of-Thought, ReAct, Tree-of-Thoughts, Self-Reflection) and when to apply them.
• Experience supporting very high request volumes and/or extremely large datasets in production environments.
• Expertise building semantic retrieval layers, attribute-aware discovery, and stateful persistence for long-lived agent context.
• Strong understanding of MCP-style tool protocols, agent-to-agent interaction patterns, REST/gRPC APIs, OAuth2, and function-calling mechanics.
• Familiarity with microservices architecture patterns and distributed systems best practices.
• Ability to implement observability for agentic systems, including traceability/telemetry and debugging methods for multi-step reasoning and handoffs.
• Awareness of global AI regulations (e.g., EU AI Act) and ability to translate requirements into technical controls and platform governance.
• Strong written and verbal communication skills across technical and business audiences.
• Calm, decisive execution in high-pressure or incident scenarios.
• Highly organized, self-directed, detail-oriented, and effective with limited supervision.
• Ability to support off-hours work as needed, including rotational on-call, weekends, and holidays.

Preferred:

• Bachelor’s or Master’s in Computer Science, AI, or a related field.
• PhD in AI, Distributed Systems, or Cognitive Science.
• Google Cloud Professional Machine Learning Engineer certification and/or specialized certifications in multi-agent systems/autonomous reasoning.
• 3+ years working with distributed caching technologies.
• Experience provisioning and configuring cloud platform resources at scale.
• Experience supporting consumer-facing digital or commerce environments.
• Proficiency with Google Workspace (Sheets, Docs, Slides, Gmail).

About Hansell Tierney:

Hansell Tierney is one of the premier staffing and recruiting companies in the Pacific Northwest. Launched in 2001, we are a woman-owned business that serves and staffs Northwest organizations by doing things the right way, not just the easiest way. Hansell Tierney partners with candidates and clients to match the best candidates with interesting local opportunities. We navigate every relationship with the highest level of discretion and service while holding ourselves accountable to our promises. Our business thrives on our deep understanding of the job market and our ability to skillfully tailor our recruitment process to meet our clients’ unique needs.

Company Description

At Titl, we simplify the real estate process by eliminating paperwork, legal obstacles, and delays associated with buying, owning, or selling a home. Our advanced technology ensures transparency and peace of mind throughout every transaction. We provide a modern and user-friendly way to handle property—designed for today and prepared for future needs.

Role Description

We're seeking an experienced Full-Stack Engineer to join our team working on a sophisticated property data research and report generation platform. This role involves building and maintaining enterprise-grade systems that automate property data extraction from government sources, generate comprehensive property reports, and manage complex business workflows including payments, authentication, and blockchain integration.

What You'll Work On

• Backend Services: Develop and maintain NestJS microservices handling property data scraping, PDF generation, report aggregation, and enterprise account management
• Frontend Applications: Build responsive Next.js applications with complex state management and real-time updates
• Data Pipeline: Work with automated scraping systems using Puppeteer and AI-powered document processing (Google Document AI, OpenAI)
• Integration Development: Implement OAuth flows, Stripe payment processing, webhook handling, and third-party API integrations
• Queue Management: Design and maintain Bull queue systems for background job processing and async workflows
• Blockchain Integration: Work with Polymesh blockchain for property ownership verification and asset tokenization
• Database Design: Create efficient Prisma schemas and optimize PostgreSQL queries for complex property data relationships

Required Technical Skills

Core Stack (Must Have)

• Backend: Advanced proficiency in NestJS with deep understanding of dependency injection, decorators, guards, and service patterns
• Frontend: Expert-level Next.js 14 (App Router) and React with TypeScript
• Database: Strong Prisma ORM experience and PostgreSQL optimization skills
• TypeScript: Production-level TypeScript across full stack
• API Design: RESTful API design, DTOs, validation, and Swagger documentation Infrastructure & DevOps
• Docker: Container orchestration and development environments
• Cloud Platforms: Google Cloud Platform (Cloud Storage, Cloud Run)
• Queue Systems: Bull or similar job queue systems (Redis-backed)
• Monorepo: Experience with pnpm workspaces or similar monorepo tooling Authentication & Payments
• OAuth 2.0: Multi-provider authentication (Google, Facebook, LinkedIn)
• JWT: Token-based authentication and authorization patterns
• Stripe: Payment processing, webhooks, subscription management, and usage-based billing Specialized Skills
• Web Scraping: Puppeteer or similar browser automation tools
• PDF Processing: PDF generation, manipulation, and data extraction
• AI/ML Integration: Experience with AI APIs (OpenAI, Google AI, etc.)
• Background Jobs: Async processing, retry logic, and error handling

Highly Desired Skills

• Blockchain: Polymesh or Ethereum blockchain integration experience
• Document Processing: OCR, document AI, or legal document processing
• Property/Real Estate Domain: Understanding of property records, deeds, liens, title commitments
• Legal Tech: Experience with legal document workflows or compliance systems
• Testing: Jest, testing-library, E2E testing frameworks
• Performance Optimization: Query optimization, caching strategies, lazy loading
• Security: OWASP best practices, rate limiting, encryption

Architecture & Design Requirements

You should be comfortable with:

• Design Patterns: Service-oriented architecture, repository pattern, factory pattern
• Dependency Injection: Understanding NestJS DI container and module system
• Database Relations: Complex multi-tenant data models with proper isolation
• State Management: React Context, server/client component patterns
• Error Handling: Comprehensive error handling, retry logic, fallback mechanisms, API Security: Rate limiting, API key management, webhook signature verification

Experience Requirements

• 5+ years of full-stack development experience
• 3+ years with TypeScript in production environments
• 2+ years with NestJS or similar enterprise Node.js frameworks
• 2+ years with modern React and Next.js
• Experience building production SaaS applications with multi-tenant architecture
• Track record of shipping complex features end-to-end
• Experience with third-party integrations and webhook systems
• Domain Knowledge (Preferred)
• Understanding of property data and real estate records
• Familiarity with government data systems and public records
• Knowledge of legal document structures (deeds, liens, mortgages, title commitments)
• Experience with regulated industries and compliance requirements
• Understanding of Miami-Dade County or similar municipal systems (bonus)

Development Practices

You should have experience with:

• Git workflows: Feature branches, pull requests, code review
• Documentation: Writing clear technical documentation and API specs
• Testing: Unit tests, integration tests, E2E tests
• CI/CD: Automated testing and deployment pipelines
• Agile: Working in iterative development cycles
• Code Quality: ESLint, Prettier, TypeScript strict mode

Problem-Solving Skills

We're looking for someone who can:

• Debug complex distributed systems across multiple services
• Optimize database queries and reduce API response times
• Design scalable architectures for high-volume data processing
• Handle edge cases in automated scraping and data extraction
• Troubleshoot integration issues with third-party services
• Implement robust error handling and monitoring
• Communication & Collaboration
• Clear written communication for documentation and code reviews
• Ability to explain technical concepts to non-technical stakeholders
• Collaborative approach to problem-solving
• Proactive in identifying and addressing technical debt
• Experience mentoring junior developers (preferred)
• Package Manager Note
• This project uses pnpm exclusively for monorepo management. Experience with pnpm workspaces is preferred, but npm/yarn monorepo experience transfers well.

What Makes You Stand Out

• Contributions to open-source projects
• Experience with LangChain or LangGraph for AI orchestration
• FastAPI or Python experience (for AI service integration)
• Understanding of title insurance or property ownership verification
• Experience with Puppeteer clusters and browser farm optimization
• Background in fintech or regulated industries
• Experience with multi-environment deployments (local, staging, production)

Working Style

This role requires:

• Attention to detail when working with legal and financial data
• Systematic approach to debugging complex systems
• Ability to work independently on ambiguous problems
• Comfort with reading and understanding existing codebases
• Pragmatic decision-making balancing speed and quality
• Tech Stack Summary: NestJS • Next.js • TypeScript • Prisma • PostgreSQL • Puppeteer • Bull • OAuth • Stripe • Google Document AI • OpenAI • Docker • GCP • Polymesh • pnpm
• This role offers the opportunity to work on challenging technical problems at the intersection of PropTech, LegalTech, and AI, building systems that handle real-world property data at scale.

Job Overview:

We are seeking an experienced and detail-oriented Sr. Technical Designer to join our Tech design team.

The Technical Designer will play a crucial role in turning creative design concepts into high-quality, production-ready garments. The ideal candidate will have a deep understanding of garment construction, pattern making, and fabric technology, as well as a passion for fashion innovation. This individual will be the bridge between the design team and production, ensuring that designs are executed with precision and adhere to brand standards.

ABOUT THE COMPANY:

True Religion is an urban casual lifestyle brand focused on high-quality denim, activewear, accessories, and more—for men, women, and kids. Founded in 2002, we shook up the Los Angeles denim scene by re-engineering the classic five-pocket jean with our signature Super T Stitch and iconic horseshoe detailing—now synonymous with bold, unapologetic style and the True Religion legacy. Driven by a relentless commitment to craftsmanship, we design with one goal in mind: to stand out from the crowd. We don’t just create denim—we give it attitude, authenticity, and individuality.

THE PURPOSE:

The Senior Technical Designer, Women’s Denim plays a critical role in translating creative design concepts into high-quality, production-ready garments. This role partners closely with Design, Product Development, and overseas vendors to ensure fit, construction, and execution meet brand standards. With deep expertise in denim construction, pattern making, and fabric performance, this position serves as the technical bridge between concept and production.

THE ROLE (what you are accountable for)

• Create and maintain detailed technical packages, including specifications, tolerances, grading, construction details, stitch callouts, and fit comments.
• Partner with the Technical Design Manager and cross-functional teams to establish appropriate fit, function, and construction intent for each style.
• Lead fit sessions across multiple sizes, providing clear, actionable feedback to vendors to achieve consistent fit and quality.
• Collaborate closely with overseas manufacturers to develop accurate patterns and resolve construction or fit issues throughout the development process.
• Ensure all garment specifications—including measurements, stitching techniques, and finishing details—are clearly defined and executed.
• Conduct quality reviews and address discrepancies identified during development or production to ensure consistency across all runs.
• Act as a key liaison between Design and Production, proactively troubleshooting technical issues and supporting on-time delivery.
• Manage and track workflow for assigned styles, balancing deadlines and shifting priorities in a fast-paced environment.
• Maintain clear, professional, and timely communication with overseas vendors and internal partners.

YOU ARE:

You are a detail-driven technical expert with a strong eye for fit, construction, and quality. You thrive in a collaborative environment, communicate clearly with both creative and technical partners, and take pride in bringing product to life with precision. Highly organized and adaptable, you are comfortable managing multiple styles and timelines while maintaining the highest standards.

REQUIRED MINIMUM EXPERIENCE:

• 5-8+ years of experience as a Technical Designer, preferably within women’s denim or apparel
• Excellent attention to detail with the ability to translate design intent into production-ready specifications
• Proven experience with 5-pocket styles, jumpsuits, dresses, fashion tops, and jackets
• Strong understanding of pattern making, grading, and garment construction techniques
• Hands-on experience leading fit sessions and executing pattern corrections
• Solid knowledge of fabrics, finishes, and how they impact fit and construction
• Proficiency in Adobe Illustrator, Photoshop, Microsoft Office; Full Circle experience a plus
• Strong written and verbal communication skills, including vendor-facing correspondence

PREFERRED EXPERIENCE:

• Experience using Gerber AccuMark
• Experience working with international sourcing and overseas production partners

ADDITIONAL ROLE INFORMATION:

• Compensation: The anticipated base salary range for this role is $90,000 – $100,000. This is a full-time, exempt position. This range represents the low and high end of the expected base salary range for this role based on the applicable location. True Religion reasonably expects to pay within this range in compliance with all applicable federal, state, and local laws. Actual compensation will be determined based on factors including relevant experience, skills, knowledge, and internal equity.
• Perks: We offer a mix of benefits and perks to support our employees at work and beyond, including health benefits, a 401(k) with employer match, merchandise discounts, commuter benefits, wellness & employee assistance programs, and more.
• Work Model: This role is based in El Segundo, CA with an expectation of in-office presence on designated days to support collaboration and business needs.
• Employment Eligibility: Employment with True Religion is contingent upon meeting applicable employment eligibility requirements.

True Religion is an Equal Opportunity Employer. We are committed to creating an inclusive workplace and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic under applicable law. Employment decisions are based on qualifications, merit, and business needs.

Applicable law requires employers to provide reasonable accommodation during the recruitment process. Please let us know if you require accommodation, and we will make appropriate arrangements.

In order to evaluate your candidacy, we may ask you to provide us with certain personal information, including your identification data (e.g. name, date of birth, driver’s license number, social security number, passport number, and contact details), education information, financial information (for payroll and benefits), and professional and employment history. If you have any questions about our privacy policy or would like to learn more, please visit , which includes a link to an additional notice for California residents and which link can also be visited directly at

About the Role

Our Decision Intelligence (DI) team is seeking a Senior / Lead Data Architect to drive enterprise data strategy and accelerate AI‑enabled transformation across McKesson. DI plays a critical role in enabling data‑driven change and delivering measurable business value through high‑quality data, advanced analytics, and intelligent automation.

This role will define and evolve the enterprise‑wide data and semantic architecture required to support AI‑driven insights, agentic automation, and next‑generation data products. The ideal candidate is a strategic thought partner, a hands‑on architect, and a leader capable of translating business outcomes into scalable technical solutions.

Responsibilities

Data Architecture Leadership

• Architect canonical data domains across customer, product, pricing, supply chain, contracting, and financial performance.
• Design semantic layers, business ontologies, subject‑area models, and metric definition frameworks to power enterprise AI agents and decisioning systems.
• Define architectural principles for data interoperability, lineage, access control, security, and multi‑cloud integration.
• Align data platform and architecture decisions with the USPD AI Roadmap and enterprise AI strategy.

Establish standards and patterns for:

• RAG pipelines
• Vector search
• Metadata-driven orchestration
• Multi-modal ingestion (text, events, real-time signals)

Provide architectural oversight and strategic guidance across enterprise data products including:

• Finance, Pricing, and Supply Chain Data Products
• FIA
• ContractIQ
• Specialty Leakage Agents
• Design a robust, scalable, and interoperable data environment that supports AI-ready, governed, high-quality enterprise data.
• Influence programs and project teams on best practices related to data quality, architecture, modeling, observability, and governance.
• Leverage data architecture frameworks to translate complex relational entities into business cases, use cases, and AI-enablement requirements.
• Partner with product, engineering, and analytics leaders to accelerate data product creation and improve enterprise decision intelligence maturity.

Advanced Data System Design

• Architect complex distributed data systems that ensure scalability, performance, reliability, and real-time integration across business-critical operations.
• Design and govern enterprise-wide data models, data flows, reference architectures, and integration patterns.

Produce high-quality data design deliverables including:

• Data models
• Entity relationship diagrams (ERDs)
• Data flow diagrams
• System interface schemas
• Comprehensive data dictionaries and metadata documentation
• Ensure optimal functioning of AI/ML pipelines, including data quality controls, observability patterns, and architecture for low-latency analytics.
• Guide engineering teams on reusable patterns for ingestion, transformation, curation, semantic enrichment, and operationalization.

Minimum Qualifications

• 7+ years of experience in data engineering, data architecture, or enterprise data platform development.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.

Required Skills

• 7+ years designing enterprise data architecture across large, complex organizations.
• Demonstrated experience with Enterprise data modeling, semantic layers, canonical domains
• Large-scale integration across heterogeneous systems
• Databricks, Snowflake, MDM platforms, SAP, Salesforce/Conga
• Designing intuitive architectural patterns to simplify complex data landscapes.
• Strong understanding of data quality frameworks, governance, lineage, metadata, and regulatory compliance.

Leadership Skills

• Ownership-driven leader with a track record of guiding engineering teams through delivery.
• Acts as a change champion, elevating architecture maturity and influencing cross-functional adoption of best practices.

Strategic Thinking

• Strong analytical capability and the ability to develop long-term data strategies aligned to enterprise objectives and future-state AI readiness.

Problem Solving

• Creative, innovative problem solver capable of architecting solutions for highly complex data and AI challenges.

AI Product Designer (Contract)

As a Contract AI Product Designer, you will drive end-to-end UX concept development across the studio's most forward-looking initiatives. Working closely with studio conversational (Content) designers, creative technologists, and researchers, you'll shape the future of the product ecosystem.

You're a systems thinker and hands-on inventor who moves fluidly between near-term design craft and long-horizon strategy. You'll report to the Sr. Design Director and collaborate within a multidisciplinary team that includes Creative Technologists, Researchers, and AI.

Position Responsibilities

• Lead UX concept development for Generative Design System investigations — including adaptive UI surfaces, tokenized design patterns, and machine-readable component architectures for AI composition
• Define and prototype Agentic OS interaction models — including intent-based navigation, multi-agent task orchestration, and dynamic layout systems that replace traditional app grid paradigms
• Translate complex AI system behaviors into clear, human-centered interaction flows, scenarios, and design frameworks
• Develop strategy documents, user flows, wireframes, and high-fidelity concept visions that communicate direction to both design peers and executive leadership
• Contribute to JTBD analysis, opportunity mapping, and product roadmap decisions

Skills

• 10+ years of UX, Interaction Design, or HCI experience, with at least 3 years focused on emerging or AI-powered product experiences
• Knowledge of current AI product design tools — including generative UI prototyping, AI-assisted design workflows, or prompt-driven concept exploration
• Strong command of OS-level or system UX design — navigation models, information architecture, cross-surface continuity
• Experience working within or alongside a scaled design system, including contributing patterns, interaction specs, or component logic
• Proficiency in Figma including component architecture, auto-layout, and variable/token workflows
• Ability to create compelling concept visions — from rough scenario sketches to polished, leadership-ready artifacts
• Design for AI and Emerging Systems
• Demonstrated experience designing for agentic or AI-native interfaces — including proactive systems, multi-step task flows, or autonomous agent UX
• Fluency with generative UI principles
• Hands-on knowledge of design system tokenization
• Understanding of LLM / AI model behavior ane agentic system design patterns — orchestration layers, delegation models, agent handoff, and user control/override mechanisms
• Experience designing multimodal interactions — voice, gesture, visual, or ambient input/output across device types
• Ability to prototype or storyboard intent-based navigation models

Soft Skills

• Systems thinker who can hold both the 10,000-ft strategic vision and the 1-ft craft detail simultaneously
• Comfortable with ambiguity — able to frame open design questions, define the right problem, and move forward without complete information
• Strong communicator who can distill complex AI concepts into clear, compelling narratives for executive and cross-functional audiences
• Collaborative and generous — thrives in small, fast-moving, multidisciplinary studio environments
• Intellectually curious with a genuine interest in how AI will reshape human behavior, not just interface patterns

Compensation: $90 - $112.83 per hour

ID#: 36994446