Xometry

Xometry is an innovative manufacturing marketplace that connects customers with a network of suppliers to provide on-demand manufacturing solutions and rapid prototyping services.

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đź“Ť Boston, MA

🧭 Full-Time

🔍 Manufacturing

  • Bachelor’s Degree or equivalent required.
  • 8+ years serving as a lead in supply chain or manufacturing.
  • Experience in manufacturing and machining is a strong plus.
  • Proven ability to analyze data and implement strategic improvements.
  • Experience in identifying knowledge gaps and training others is beneficial.
  • Top-class analytical skills with strong communication abilities.
  • Experience developing and delivering training programs.
  • Fluency with essential business applications.

  • Optimize partner performance by analyzing data to enforce manufacturing standards.
  • Identify performance and training gaps, developing strategies for improvement.
  • Create and implement partner certification programs for quality benchmarks.
  • Manage the Partner Outsourcing Group program focusing on quality requirements.
  • Develop tailored training programs to enhance partner capabilities.
  • Manage operational escalations and ensure partner satisfaction.
  • Lead initiatives to reduce partner churn.
  • Conduct on-site assessments to establish best practices for partners.

Project ManagementAnalytical SkillsCollaborationPresentation skillsCoaching

Posted 2024-11-27
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đź“Ť Philippines

🧭 Full-Time

🔍 Manufacturing

  • 5+ years of payroll experience.
  • Excellent command of the English language, both written and verbal.
  • Bachelor's degree in finance, human resource management, or a similar field.
  • Fundamental Payroll Certification (FPC) or Certified Payroll Professional (CPP) heavily desired.
  • Experience with public companies or equity.
  • Administering deductions, garnishments, FSAs, HSAs, retirement plans, and benefits.
  • Experience with quarterly audits and year-end reconciliations.
  • Running multi-state payroll and creating reports.
  • Highly proficient with payroll software ADP Workforce Now.
  • Strong attention to detail and organizational skills.
  • Ability to work under pressure and meet deadlines.
  • Familiarity with labor legislation and federal tax laws.
  • Ethical handling of employee-sensitive information.
  • Good interpersonal skills for teamwork.

  • Processes bi-weekly multi-State payroll, including collecting timesheet data and processing changes.
  • Reviews, audits, and corrects timecard data, preparing it for imports.
  • Ensures timely processing and approval of timesheets by managers.
  • Handles new hires, terminations, tax changes, and payroll adjustments.
  • Maintains confidentiality and accuracy of payroll records.
  • Acts as liaison with HR regarding payroll issues.
  • Validates New Hire Tax Setup in the Payroll system.
  • Processes monthly Stock Vesting's and Exercises for reporting.
  • Provides service to employees regarding pay and deductions.
  • Ensures legal compliance with state and federal regulations.
  • Maintains both payroll and employee records.
  • Participates in system implementations related to payroll.
  • Supports Director of Payroll and Payroll Manager.

Communication SkillsAnalytical SkillsCollaborationMicrosoft ExcelProblem SolvingCustomer serviceMicrosoft OfficeAccountingAttention to detailOrganizational skillsTime ManagementWritten communicationMultitaskingMicrosoft Office Suite

Posted 2024-11-20
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đź“Ť United States

🧭 Full-Time

🔍 Manufacturing

  • At least 7 years of experience in machine learning engineering, software engineering, data science, or similar roles.
  • A required bachelor’s degree; advanced degree (M.S. or PhD) preferred and may substitute for experience.
  • Experience designing and deploying cloud infrastructure (preferably AWS) for machine learning.
  • Deep understanding of the machine learning lifecycle and its infrastructure needs.
  • Technical expertise in software engineering principles, machine learning techniques, infrastructure as code (Terraform), REST API design, and programming in Python.
  • Experience with AWS microservices, containerization technologies, and multimodal data processing.

  • Adopt a 'lead by example' approach by actively coding and troubleshooting, creating documentation and technical diagrams.
  • Serve as a mentor and guide to engineers, teaching and helping them grow.
  • Conduct code reviews and promote best practices in ML Engineering.
  • Ensure delivery of superior infrastructure and software exceeding customer expectations.
  • Forge partnerships with product managers, data scientists, and leadership for effective collaboration.
  • Champion cutting-edge technologies and methodologies in the AI/ML space.

AWSDockerLeadershipPythonKubernetesMachine LearningPyTorchStrategyAlgorithmsData scienceREST APITensorflowMentoringTerraformDocumentationMicroservices

Posted 2024-11-19
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đź“Ť United States

🧭 Full-Time

🔍 Manufacturing

  • A bachelor’s degree is required; an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or related field is preferred.
  • 7+ years of experience in data science and machine learning focusing on generative models, LLMs, or computer vision.
  • Expertise in large-scale language and vision models such as Transformers, GPT, and VLMs.
  • Experience with multimodal data processing.
  • Proficient in Python with libraries like PyTorch, TensorFlow, pandas, and numpy.
  • Strong background in probability, statistics, and optimization techniques for generative modeling.
  • Familiarity with cloud computing resources for model training and deployment.
  • Knowledge of software engineering principles including version control and continuous integration.
  • Experience in manufacturing, supply chain, or related industries is a plus.

  • Provide technical leadership to the Generative AI team, setting technical direction and ensuring adherence to industry standards.
  • Lead strategic planning for generative AI initiatives, aligning with Xometry’s business objectives.
  • Develop and deploy generative AI models for multimodal document processing.
  • Design efficient workflows for data preparation and augmentation.
  • Utilize cloud platforms for data processing and model deployment.
  • Collaborate with cross-functional teams to drive impactful applications.
  • Mentor team members on advanced machine learning techniques.
  • Experiment with model performance to improve accuracy and efficiency.
  • Stay updated with latest research in generative AI.

AWSLeadershipPythonAgileCloud ComputingMachine LearningNumpyPyTorchAmazon Web ServicesData sciencePandasTensorflow

Posted 2024-11-16
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đź“Ť United States

🧭 Full-Time

🔍 Manufacturing

  • Bachelor’s degree required; preferred in applied math, computer science, natural sciences, or engineering.
  • Degree in Mathematics, Statistics, or related field (M.S. or PhD highly desired).
  • 3+ years of experience with machine learning, statistical modeling, and optimization techniques.
  • Experience in 3D deep learning; Mesh, Volumetric, and/or Point Clouds is a plus.
  • Fluency in Python (pandas, numpy, SciPy, and scikit-learn preferred).
  • Proficiency in linear algebra and statistics.
  • Familiarity with scientific software principles, e.g., versioning systems and code deployment.
  • Experience in the manufacturing industry is desired.

  • Use data science and machine learning principles to develop effective predictive models using 3D data.
  • Write software to prepare, clean, and sample data for developing predictive models.
  • Utilize cloud resources (e.g., Amazon Web Services) for data preparation and processing.
  • Query and extract data from databases (Snowflake and MongoDB).
  • Employ data analysis and visualization tools to inform business strategy.
  • Continuously iterate solutions in a fast-paced, ambiguous environment.
  • Tackle challenging, uncharted problems and work with a team in a learning-focused culture.

PythonSQLData AnalysisMachine LearningMongoDBNumpySnowflakeAmazon Web ServicesData analysisData sciencePandas

Posted 2024-11-16
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đź“Ť United States

🧭 Full-Time

🔍 Manufacturing

  • 8+ years of product management experience, with at least 5 years focused on AI/ML-powered products or manufacturability analysis tools.
  • Experience in launching successful B2C, B2B, or enterprise SaaS products in relevant sectors.
  • Deep understanding of machine learning, data analytics, and computer vision.
  • Familiarity with manufacturing processes and DFM principles.
  • Strong communication, analytical, and project management skills.

  • Define and communicate the vision for the Manufacturability Intelligence platform.
  • Develop a strategic roadmap incorporating AI-driven insights.
  • Lead the development of a manufacturability service providing real-time design feedback.
  • Collaborate with data science and engineering teams on machine learning models.
  • Oversee integration of Visual Language Models and 3D Language Models.
  • Engage with stakeholders for insights on design manufacturability.

LeadershipProject ManagementMachine LearningProduct ManagementProduct DevelopmentStrategyData science

Posted 2024-11-15
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đź“Ť Los Angeles, Sacramento, CA, Phoenix, AZ

🧭 Full-Time

🔍 Manufacturing

  • Detail-oriented, problem solver with the ability to thrive in ambiguous situations with minimal direction.
  • Strong verbal and written communication skills.
  • A strong desire to learn and grow within the company and the position.
  • Ability to handle several assignments simultaneously.
  • Proficiency in computer skills including Google Docs, Sheets, and Slides.
  • Basic knowledge of Solidworks, Salesforce, Looker, and Mechanical Print interpretation is encouraged.

  • Initial triage of orders by uncovering potential manufacturing issues such as tolerances and material availability.
  • Identifying alternative sourcing strategies.
  • Cultivating network relationships and proactively communicating capacity gaps or constraints.
  • Working cross-functionally to devise recovery strategies for assigned orders.
  • Accountable for sourcing KPIs including margin and time to resolution.

Communication SkillsAnalytical SkillsCollaborationMicrosoft ExcelWritten communication

Posted 2024-11-08
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đź“Ť North Bethesda, MD, Lexington, KY

🧭 Full-Time

🔍 Manufacturing

  • Bachelor’s degree required.
  • At least 6+ years of sales experience in a quota carrying closing sales role.
  • At least 2+ years of experience selling into Fortune 500 companies.
  • Demonstrated knowledge of manufacturing or engineering preferred.
  • High proficiency with virtual meetings and presentations.
  • Proficiency in Google Suite, Microsoft Office Suite, and video conferencing tools.
  • CRM experience with Salesforce or similar systems.
  • Experience with strategic sales planning.
  • Excellent communication and presentation skills; written and verbal.
  • Strong negotiation skills and results driven.

  • Selling of the Xometry solutions to Fortune 500 customers.
  • Supply chain focus with time invested in aligning with customers’ strategic objectives.
  • Building relationships with engineering staff, program management, procurement, and executives.
  • Setting up sales calls and presentations for company executives and engineers.
  • Qualifying and converting potential leads.
  • Collaborating with technical staff to meet customer needs.
  • Managing customer data within the company's CRM.
  • Representing the company positively and proposing winning solutions.

Business DevelopmentBusiness developmentCommunication SkillsCollaboration

Posted 2024-11-07
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đź“Ť North Bethesda, MD, Lexington, KY, US

🧭 Full-Time

🔍 Manufacturing and Digital Marketplace

  • 5-8+ years of experience in vendor management, contract negotiation, supplier relationship management, and business development.
  • Proven track record of managing multiple vendors in a fast-paced environment.
  • Extensive experience developing financial models.
  • Ability to work autonomously and drive vendor team improvements.
  • Strong analytical and financial skills for assessing vendor performance.
  • Excellent communication and negotiation skills.

  • Establish and maintain relationships with key vendors for high-quality service delivery.
  • Develop SOPs and SLAs to ensure adherence to standards.
  • Measure vendor performance using frameworks mapping to company metrics.
  • Lead contract negotiations for favorable terms and manage budgets.
  • Research and evaluate potential vendors to meet company needs.
  • Identify and assess opportunities to improve marketing service offerings.

LeadershipBusiness DevelopmentCross-functional Team LeadershipBusiness developmentCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-11-07
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đź“Ť United States

🧭 Full-Time

🔍 Manufacturing, Digital Marketing

  • Bachelor’s Degree required.
  • 8+ years of B2B sales experience, with a proven track record.
  • 3+ years of experience in establishing and scaling partnership programs.
  • Deep understanding of digital marketing, including search engine marketing.
  • Consultative selling experience with strong relationship-building skills.
  • Excellent negotiation and communication skills.
  • Strong analytical skills and a data-driven approach.
  • Strong collaboration skills in a fast-paced environment.
  • Experience in the industrial manufacturing space preferred.
  • Ability to travel 10-20% of the time.

  • Establish go-to-market strategy for strategic partnerships.
  • Build a pipeline of strategic opportunities, develop sales pitch and deal structure.
  • Identify and pursue strategic sales opportunities with new logos.
  • Manage negotiations, navigate approvals, and close deals.
  • Serve as a single point of contact for accounts, fostering long-term partnerships.
  • Collaborate with marketing, customer success, and other departments.
  • Track key metrics and provide insights to optimize sales strategies.
  • Stay abreast of industry trends and develop thought leadership content.

StrategyCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-10-26
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