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About Us:

Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home. Family-owned and led since 2004, Loloi is growing more quickly than ever. To date, we’ve expanded our diverse team to hundreds of employees, invested in multiple distribution facilities, introduced thousands of products, and earned the respect and business of retailers and designers worldwide. A testament to our products and our team, Loloi has earned the ARTS Award for “Best Rug Manufacturer” in 2010, 2011, 2015, 2016, 2018, 2023, and 2025.

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Protect yourself from potential fraud and verify the authenticity of any job offer you receive from Loloi. Rest assured that we never request payment or demand any sensitive personal information, such as bank details or social security numbers, at any stage of the recruiting process. To ensure genuine communication, our recruiters will solely reach out to applicants using an @ email address. Your security is of paramount importance to us at Loloi, and we are committed to maintaining a safe and trustworthy hiring experience for all candidates.

We are building the data backbone across Loloi Rugs and Joon Loloi. You won’t just move data; you’ll architect a Lakehouse environment using Microsoft Fabric to power our next generation of Analytics & AI.

As a Senior Data Platform Engineer, you will serve as a cornerstone of our small but high-impact data organization. Reporting to the Director of Data Platform Engineering, you will play a dual role: acting as a hands-on technical expert within the Azure cloud-native data ecosystem while also enabling analytics, reporting, and AI/ML initiatives across the business. You will bridge the gap between raw data ingestion and business-ready intelligence by building reliable, scalable, and governed data foundations. If you thrive in modern data platforms, enjoy solving complex architectural challenges, and take pride in production-grade engineering, this role is for you.

Responsibilities

Technical Execution

• Enterprise Fabric Management: Lead the implementation, optimization, and operation of Microsoft Fabric artifacts, including Lakehouses, Warehouses, and Notebooks, within a production environment. Ensure performance, scalability, and cost efficiency across capacities and OneLake.
• Pipeline Engineering: Design, build, and monitor end-to-end ELT/ETL workflows using Azure Data Factory and Fabric Data Factory. Integrate new data sources reliably while maintaining data quality, observability, and fault tolerance.
• Medallion Architecture: Refine, scale, and enforce Medallion Architecture patterns (Bronze, Silver, Gold) to ensure data quality, lineage, and performance at every stage of the data lifecycle.
• Semantic Layer Ownership: Design and maintain high-performance Fabric Semantic Models that translate complex data structures into intuitive, analytics-ready business layers.

Leadership & Operations

• Production Reliability: Serve as a primary steward of the production data environment. Proactively monitor system health, resolve incidents, and optimize SQL and Spark workloads to ensure platform stability and performance.
• Platform Standards: Partner with the Director of Data Platform Engineering to define architectural patterns, tooling standards, and operational processes that scale with the organization.
• DevOps & Governance: Drive engineering excellence through Azure DevOps by managing CI/CD pipelines, Git-based source control, and automated testing for data products. Adhere to development standards and deployment best practices.

Stakeholder Collaboration

• Cross-Functional Enablement: Collaborate closely with analytics, reporting, and AI/ML teams to ensure data products meet downstream requirements for Ecommerce, ERP, and Operations (etc.) use cases.
• Technical Communication: Translate technical architecture and platform decisions into clear, accessible documentation and explanations for non-technical stakeholders.

Experience, Skills, & Ability Requirements

• 5–7 years of experience in Data Engineering with a primary focus on the Azure ecosystem.
• Deep expertise in Azure-native tools, including Azure Data Factory (ADF), ADLS Gen2, Microsoft Fabric, Synapse, and Azure SQL.
• Strong SQL skills and proficiency in Python, including PySpark, for data transformation and optimization.
• Hands-on experience with Microsoft Fabric in a production environment, including OneLake concepts and capacity management.
• Strong understanding of data modeling concepts, including Star Schema design and semantic layer development using DAX.
• Experience using Azure DevOps for CI/CD, version control, and engineering workflow management.
• Excellent communication skills with the ability to explain complex technical concepts clearly and concisely.
• Experience supporting AI/ML initiatives by building feature-ready datasets or managing infrastructure for experimentation and deployment.
• Advanced proficiency in data modeling for analytics-ready and reporting-friendly datasets.
• Familiarity with data requirements for predictive modeling or advanced statistical analysis.
• Microsoft Certified: Azure Data Engineer Associate or Fabric Analytics Engineer Associate.

What We Offer

• Health, dental, and vision benefits
• Paid parental leave
• 401(k) with employer match
• A culture of meritocracy that fosters ongoing growth opportunities
• A stable, growing family-owned company that looks after its employees

Loloi Rugs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.

We’re seeking a strategic and hands-on leader to drive the organization’s digital evolution by taking full ownership of our marketing data and digital ecosystem. This is a rare opportunity for someone with true business owner experience to define and execute the vision for marketing data, analytics, and digital solutions while driving measurable business impact.

What You’ll Do:

• Own the strategy and roadmap for marketing data and digital solutions, ensuring alignment with business goals and executive priorities.
• Lead cross-functional collaboration with engineering, IT, marketing, and external partners to deliver scalable, data-driven solutions.
• Oversee and optimize marketing technology, AI/ML initiatives, and analytics platforms, ensuring actionable insights and measurable performance improvements.
• Develop business cases, strategic roadmaps, and executive-ready presentations to communicate vision, impact, and priorities to senior leadership.
• Guide initiative prioritization by balancing strategic impact, feasibility, and value, focusing on high-leverage opportunities.
• Leverage insights from integrated data across multiple sources to inform marketing strategy and drive measurable outcomes.
• Stay at the forefront of emerging trends in digital solutions, AI/ML, marketing technology, and analytics, continuously innovating to maintain competitive advantage.

What You Bring:

• Bachelor’s degree in a related field; advanced degree a plus.
• 8+ years of experience leading product management, marketing data, or digital solutions initiatives, with proven ownership of strategy and delivery.
• Experience in healthcare or academic medical center environments strongly preferred.
• Deep expertise in marketing technology ecosystems, Agile/SCRUM methodologies, and AI/ML-enabled tools.
• Hands-on experience with platforms such as Azure, Power BI, Teradata, LiveRamp, Databricks, DOMO, and Snowflake.
• Proven ability to influence and communicate with both technical and non-technical stakeholders.
• Demonstrated leadership, cross-functional collaboration, and analytical skills that drive execution and measurable outcomes.
• Must reside within commutable distance to Mountain View, CA.

This is an opportunity to own the vision for marketing data and digital solutions, influence how teams collaborate, and shape the future of marketing through data, technology, and analytics. If you thrive at the intersection of strategy, technology, and leadership, we’d love to hear from you.

Presales Solution Architect – US

Series AI Start-up - AI/ML

Location: San Francisco Bay Area (Hybrid)

Salary: Market-leading salary package + stock + benefits

The Role

As a Presales Solution Architect, you’ll operate at the intersection of enterprise AI — helping organizations unlock predictive intelligence from the structured data that powers their business. You’ll work hand-in-hand with Enterprise Account Executives and technical stakeholders to identify architectural challenges, design scalable AI solutions, and guide customers through high-impact technical evaluations that directly drive revenue.

This role is perfect for someone energized by solving complex technical problems, engaging deeply with customers, and clearly articulating how advanced AI capabilities translate into measurable business outcomes. If you thrive in fast-growth environments and want to help enterprises operationalize next-generation AI at scale, you’ll excel here.

What You’ll Do & Achieve

• Drive technical discovery sessions to identify high-impact, high-value use cases where enterprise AI delivers measurable ROI.
• Collaborate with Sales to create compelling demos, run competitive benchmarks, and prototype solutions on customer datasets to accelerate deals.
• Own the technical vision for assigned customers, cultivating deep relationships with senior stakeholders and shaping long-term adoption strategies.
• Lead end-to-end solution delivery, coordinating cross-functional teams — including engineers, IT, governance, and business stakeholders — to remove blockers and ensure alignment.
• Architect scalable, production-ready solutions and integration patterns that perform reliably in complex enterprise environments, from on-prem systems to cloud VPCs and legacy infrastructure.
• Capture patterns and insights from deployments to generate high-impact engineering feedback, informing product and model development.
• Develop repeatable deployment strategies, reference architectures, and best-practice playbooks to accelerate the impact of the broader Solutions Architect team.
• Travel up to 50% of the time to engage directly with customers and deliver hands-on solution experiences.

Who You Are

• 7+ years in customer-facing technical roles (e.g., Solutions Architect, Sales Engineer, ML Engineer, Data Scientist) with proven success delivering complex AI or ML solutions.
• Track record leading enterprise-scale technical implementations, spanning modern Generative AI or traditional machine learning systems, across cloud and on-prem environments.
• Experienced navigating multi-stakeholder enterprise environments, balancing competing priorities, and driving deployments to completion.
• Exceptional communicator, capable of translating complex technical concepts for both technical and executive audiences.
• Hands-on technical expertise in data manipulation, rapid prototyping, and analysis using tools such as Python, Pandas, and SQL.
• Collaborative, cross-functional mindset — skilled at balancing trade-offs and working effectively across teams to achieve outcomes.
• Self-starter with the ability to own initiatives end-to-end, quickly fill knowledge gaps, and deliver results.

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About the Company

An early-stage AI research lab focused on interpretability, alignment, and reinforcement learning is hiring a Research Engineer. Founded by former frontier-model researchers, the team works directly on model internals and training dynamics to better understand how AI systems reason. The lab runs fast experimental research cycles, building custom tools to explore open-ended questions about model behavior.

About the Role

This role focuses on building the experimental tooling that enables interpretability research. You will develop systems that allow researchers to inspect, measure, and manipulate internal model representations. This is not a production ML or MLOps role — it’s for engineers who enjoy building new experimental systems from scratch and working closely with researchers.

Responsibilities

• Build custom RL-style environments and experimental testbeds for interpretability research
• Develop tools for activation tracing and mechanistic interpretability
• Implement probes to detect latent concepts (e.g., deception, goals, uncertainty)
• Prototype activation-level steering methods beyond prompting or fine-tuning
• Collaborate with researchers to rapidly iterate on experiments and tooling

Qualifications

• Strong programming skills in Python
• Experience with ML frameworks such as PyTorch or JAX
• Experience working with deep learning models or LLMs
• Strong software engineering fundamentals and ability to build experimental ML systems

Preferred Skills

• Experience in mechanistic interpretability or alignment research
• Familiarity with reinforcement learning environments
• Background working with model internals, representations, or probing methods
• Research experience (PhD preferred but not required)

Pay range and compensation package

Competitive salary, equity, and benefits.

This is a 12-month remote contract with the potential for extension. Candidates local to the DC area must be available to work onsite 1–2 days per week in College Park, MD. NO THIRD PARTIES PLEASE.

Our client is seeking a candidate with hands-on experience building and standing up a data analytics function in-house. The organization previously outsourced this work and is now transitioning to an internal model. The ideal candidate will have experience establishing a data warehouse, developing a strategic roadmap, defining governance and operating structures, and leading workflow design and communication during rollout. Experience driving adoption through training and change enablement is essential. Strong data analytics expertise is required.

The Consultant, Organizational Change Management (OCM) supports the Enterprise Data & Analytics Platform (EDAP) by leading change efforts tied to data platforms, analytics solutions, reporting, and broader digital transformation initiatives. This role focuses on driving adoption of data-driven and AI/ML tools, processes, and ways of working to deliver measurable business outcomes. Reporting to the Manager, OCM, this position applies a structured change management methodology across EDAP programs and other enterprise initiatives. The Consultant may lead specific change workstreams or provide end-to-end change support, ensuring alignment between technical delivery, business readiness, and long-term adoption.

Key Responsibilities

Change Strategy & Planning

• Lead OCM activities for enterprise-wide digital and technology initiatives.
• Develop and execute comprehensive change management strategies to drive adoption, reduce resistance, and accelerate benefits realization.
• Conduct change readiness assessments, impact analyses, and risk assessments across people, processes, tools, and culture.
• Plan and execute communication, training, and performance measurement programs.
• Apply Prosci change management methodology and collaborate across the project lifecycle.
• Establish milestones and deliverables to manage expectations and ensure program success.

Stakeholder Engagement & Communication

• Build strong relationships with stakeholders, sponsors, and executive leadership.
• Align diverse stakeholders around the organization's analytics and transformation vision.
• Translate complex ideas into clear, practical recommendations for executive audiences.
• Lead facilitation, team-building, and change enablement efforts.
• Oversee development and delivery of clear, timely communication plans.
• Demonstrate excellent written, verbal, and interpersonal communication skills.

Organizational Design & Data Analytics Governance

• Lead change efforts for Enterprise Data Warehouse and Lakehouse implementations.
• Support rollout of analytics operating models, ML/AI training, workflows, roles, and processes.
• Define transition roadmaps from legacy analytics environments to future-state platforms.
• Support development of operating models and governance frameworks.
• Establish adoption, utilization, and proficiency metrics.
• Translate technical analytics concepts into business language for leadership.

Leadership & Team Enablement

• Support and coach leaders and people managers in driving and sustaining change.
• Prioritize and manage multiple initiatives while supporting high-performance teams.
• Participate in resource planning and manage competing priorities effectively.
• Apply sound judgment in time, resource, and priority management.

Training & Capability Building

• Design and coordinate training programs to support employee and manager readiness.
• Ensure effective knowledge transfer and skill development during transitions.

Tools & Technology Adoption

• Become proficient in partner and technology platforms supporting key deployments.
• Contribute to continuous improvement of OCM methodologies, tools, and processes.

Required Skills & Experience

• Bachelor's degree in business, organizational development, or related field (Master's preferred).
• 7+ years of experience in technology consulting, professional services, or product environments.
• Proven experience leading large-scale, end-to-end organizational change initiatives.
• Experience in client-facing roles with strong stakeholder management skills.
• Ability to influence at all levels and lead without formal authority.
• Change management certification required (Prosci preferred).
• Domain experience in Data Analytics and AI/ML tools is required.
• Experience in higher education or corporate learning environments preferred.

• Bachelor's degree in medical laboratory science/medical technology, OR
  
  • Bachelor's degree in chemical or biological science (transcripts may be reviewed to determine eligibility) AND certification (MLS or categorical).
• Foreign educated candidates must provide a detailed credential evaluation from IERF (International Education Research Foundation) or other nationally recognized credentialing agency for review to determine eligibility.
• For certain specialty disciplines ONLY (Toxicology, HLA, HCTT, etc.) where no certification is available from a certifying agency, a bachelor's degree with one year of experience in that discipline is required.
• Demonstrated competency in phlebotomy in departments where applicable.

• MLS/MT or categorical certification (ASCP, AMT, HEW, AAB).
• Basic knowledge of specimen requirements and knowledge of medical terminology.
• Previous experience with phlebotomy and processing.
• Additional related education and/or experience

• Must exhibit personal maturity and responsibility.
• Excellent reading, writing and math abilities.
• Communicates effectively in oral and written formats sufficient to demonstrate comprehension.
• Ability to perform detailed work; work with frequent interruptions, multi-task, problem solve and memorization.
• Ability to take direction and assimilate instructions quickly.
• Detail oriented and exceptional organizational skills.
• Basic computer skills.
• Must exhibit skills in exceptional customer service, good performance review and passing on-site competency evaluation and /or assessment as defined by the department.

• Bachelor's degree in medical laboratory science/medical technology, OR
  
  • Bachelor's degree in chemical or biological science (transcripts may be reviewed to determine eligibility), AND EITHER
    
    • Certification (MLS or categorical) OR a certificate of completion/letter of attestation on school letterhead documenting completion of any categorical or combination of categoricals from an accredited Medical Laboratory Science program.
• Foreign educated candidates must provide a detailed credential evaluation from IERF (International Education Research Foundation) or other nationally recognized credentialing agency for review to determine eligibility.
• For certain specialty disciplines ONLY (Toxicology, HLA, HCTT, etc.) where no certification is available from a certifying agency, a bachelor's degree with one year of experience in that discipline is required.
• Demonstrated competency in phlebotomy in departments where applicable.

• MLS/MT or categorical certification (ASCP, AMT, HEW, AAB).
• Basic knowledge of specimen requirements and knowledge of medical terminology.
• Previous experience with phlebotomy and processing.
• Additional related education and/or experience

Job Description Summary

Entity

Worker Type

Worker Sub-Type?

Cost Center

Pay Rate Type

Pay Grade

Scheduled Weekly Hours

Work Shift

Job Description

Entity/Organization:  MUHA (Medical University Hospital Authority/Medical Center)

Hours Per Week: 40

FLSA Status: Hourly

Job summary: Medical technologist support high quality laboratory testing in a clinical laboratory. Prepares specimens for testing, perform routine laboratory tests, perform specialized laboratory tests, perform quality control, troubleshoot quality control errors and maintenance procedures, recognize and evaluate computer data problems, troubleshoot laboratory instruments, perform preventative maintenance, communicate technical information to medical and lay persons, assist with training laboratory personnel in routine procedures, participate in continuing education, recognize normal and abnormal values, and model Standards of Behavior in daily interactions and activities.

Minimum Experience and Training Requirements: A Bachelor's degree in Medical Technology or related medical or scientific discipline with 0-1 year experience.

Required License Certification and Registration:

Must have met the educational requirements for and passed a recognized Certification Examination for Medical Technologist (also known as Medical Laboratory Scientist, MLS or Clinical Laboratory Scientist, CLS).

Certification by the American Society of Clinical Pathology Board of Certification (ASCP BOC). If not certified, must be registry eligible and successfully obtain certification within the first year of employment.

.

Additional Job Description

Minimum Experience and Training Requirements: A Bachelor's degree in Medical Technology or related medical or scientific discipline with 0-1 year experience.

Required License Certification and Registration:

Must have met the educational requirements for and passed a recognized Certification Examination for Medical Technologist (also known as Medical Laboratory Scientist, MLS or Clinical Laboratory Scientist, CLS).

Certification by the American Society of Clinical Pathology Board of Certification (ASCP BOC). If not certified, must be registry eligible and successfully obtain certification within the first year of employment.

If you like working with energetic enthusiastic individuals, you will enjoy your career with us!

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.

Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: