June 25, 2026
Digital Marketing Associate Account Manager
Junior • On-site
60,000 - 69,996 USD/yr
North Bethesda, MD
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
At Thomas, we're revolutionizing the manufacturing industry with our cutting-edge omnichannel growth marketing strategies. With a remarkable 125-year legacy in the business, we're now expanding our customer-focused Client Services team to serve our most upper-tier customers. As an Associate Account Manager, you will collaborate with your clients to gain a deep understanding of their unique business objectives and design digital strategies to drive tangible outcomes.
Responsibilities
- Serve as the primary strategic lead for a portfolio of industrial clients to cultivate strong and trusted partnerships
- Plan, collect, and document client goals and deliverable feedback for cross-functional teams (coordinators, design, development, and SEM)
- Partner with cross-functional teams to execute marketing campaigns and deliver on ROI
- Lead biweekly or monthly client calls to review program KPIs, deliverable updates, and progress
- Consult with and educate clients on digital marketing best practices guiding program strategy
- Address client questions or concerns and provide strategic and tactical solutions
- Leverage data analytics to uncover insights, identify trends, and optimize campaigns
- Collaborate with Sales to provide holistic service and increase revenue
- Develop, present, and implement holistic growth marketing strategies covering user acquisition, conversion, and revenue growth
Qualifications
- Bachelor's degree
- 1-3+ years experience in a digital marketing role; agency preferred
- Minimum 1 year of client-facing experience
- Minimum 1 year of project management experience
- Knowledge of SEO, social media, email marketing, and/or blog writing best practices
- Experience with Hubspot, Google Analytics, and WordPress
- Outstanding communication and people skills
Nice-to-have Experience
- B2B and/or industrial/manufacturing industry knowledge
- Experience using SEO tools (e.g., SEMRush, AHRefs, Google Ads, Optmyzer, Google Search Console), LinkedIn analytics, Data Studio reporting, A/B testing software, and/or chatbot plugins
- Experience using marketing platform tools (e.g., HubSpot, Pardot)
- Certifications: Google Analytics, Google Ads, and/or project management
Compensation & Benefits
The estimated base salary range for new hires into this role is $60,000 - $70,000 annually. Benefits include 401(k) match, medical, dental and vision insurance, life and disability insurance, generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave, EAP, and other wellbeing resources.
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and will provide Form I-9 information to confirm work authorization after acceptance of a job offer.
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Technology

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It combines technical leadership with hands-on model development and scalable ML engineering. 🗂️ Requirements: Bachelor’s degree in Computer Science, Machine Learning, AI or related field, 5+ years of experience in machine learning or data science, Deep expertise in generative models, LLMs or computer vision, Experience with large-scale language and vision models, Hands-on experience with multimodal data (text, images, 3D), Proficiency in Python, Experience with PyTorch or TensorFlow, Strong knowledge of probability, statistics and optimization, Experience deploying ML models in cloud microservice architecture, Strong software engineering skills (OOP, testing, version control, CI/CD, IaC), U.S. Citizenship or Green Card holder 📃 Skills: Python, PyTorch, TensorFlow, pandas, NumPy, Transformers, GPT, VLM, AWS, Terraform, CI/CD, OOP, LLM, ComputerVision, GenerativeAI, Statistics, Optimization 🏢 Description: Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we'd love to talk. Responsibilities: Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation. Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace. Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction. Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions. Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets. Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale. Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows. Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team. Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production. Qualifications: Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus. 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision. Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs). Hands-on experience with multimodal data (text, images, 3D). Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy). Solid grounding in probability, statistics, and optimization for generative modeling. Experience deploying ML and AI models using cloud microservice architecture (AWS preferred). Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred). A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders. Background in manufacturing, supply chain, or related industries is a plus — but curiosity and drive matter more. Must be a U.S. Citizen or Green Card holder (ITAR compliance) The estimated base salary range for new hires into this role is $140,000-$230,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more. #LI-HybridXometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Technology

Xometry
Staff Machine Learning Engineer - Generative AI
Senior
On-site
North Bethesda, MD
140,004 - 230,004 USD/yr
🏢 Summary: Staff Machine Learning Engineer role focused on leading Generative AI initiatives to build and deploy multimodal AI systems for document understanding, structured data extraction, and reasoning across text, images, and 3D data. The position involves setting technical direction, developing large-scale models, and deploying production-grade AI solutions in the cloud. This role combines advanced research with scalable engineering to deliver real-world impact in manufacturing workflows. 🗂️ Requirements: Bachelor’s degree in Computer Science, Machine Learning, AI or related field, 5+ years of experience in machine learning or data science, Expertise in generative models, LLMs or computer vision, Experience with large-scale language and vision models, Hands-on experience with multimodal data (text, images, 3D), Proficiency in Python, Experience with PyTorch or TensorFlow, Strong knowledge of probability, statistics and optimization, Experience deploying ML models in cloud microservice architecture, Experience with AWS, Strong software engineering skills (OOP, testing, version control, CI/CD, IaC), U.S. Citizenship or Green Card (ITAR compliance) 📃 Skills: Python, PyTorch, TensorFlow, pandas, NumPy, Transformers, GPT, VLMs, AWS, Terraform, CI/CD, OOP, Microservices, LLMs, ComputerVision, Statistics, Probability, Optimization 🏢 Description: Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we'd love to talk. Responsibilities: Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation. Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace. Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction. Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions. Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets. Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale. Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows. Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team. Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production. Qualifications: Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus. 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision. Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs). Hands-on experience with multimodal data (text, images, 3D). Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy). Solid grounding in probability, statistics, and optimization for generative modeling. Experience deploying ML and AI models using cloud microservice architecture (AWS preferred). Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred). A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders. Background in manufacturing, supply chain, or related industries is a plus — but curiosity and drive matter more. Must be a U.S. Citizen or Green Card holder (ITAR compliance) The estimated base salary range for new hires into this role is $140,000-$230,000 annually OR + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more. #LI-HybridXometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Technology
New offer

Xometry
Analytics Engineer II
Senior
On-site
Waltham, MA
75,996 - 86,004 USD/yr
🏢 Summary: Analytics Engineer II role focused on building and maintaining scalable data models, optimizing reporting infrastructure, and transforming raw data into actionable datasets. The position combines analytics engineering, data modeling, and collaboration with analysts and engineers to support company-wide decision-making. The role also involves CI/CD practices, data quality testing, dashboard development, and cloud data warehouse management. 🗂️ Requirements: 2–4+ years in data analytics, analytics engineering, or data engineering, Experience building production-grade data models, Advanced SQL proficiency, Experience with dbt, Experience with GitHub version control, Experience with Snowflake or similar cloud data warehouses, Experience building dashboards in Looker, Tableau, or Power BI, Experience with data quality testing and CI/CD workflows, Ability to translate business requirements into technical specifications, Ability to communicate technical concepts to non-technical stakeholders, Ability to work US Eastern Time aligned hours 📃 Skills: SQL, dbt, GitHub, Snowflake, Looker, Tableau, PowerBI, CI/CD 🏢 Description: Xometry is looking for an Analytics Engineer II to own the transformation layer and gold standard of reporting. You will sit at the intersection of Data Engineering and Data Analytics, turning raw data into clean, well-modeled datasets that empower the organization to make better decisions. As a senior member of the team, you will help define data architecture while working closely with analysts and data engineers. How You'll Contribute: - Data Modeling: Design, develop, and maintain robust data models using dbt that serve as the foundation for company reporting. Solid understanding of semantic modeling and multi-domain data architecture. - Pipeline Excellence: Partner with Data Engineers to optimize ingestion and ensure the reliability of the data warehouse and query optimization. - Business Partnership: Work with data analysts and stakeholders across the organization to translate complex business requirements into technical specifications. - Code Quality: Lead version control, CI/CD patterns, and comprehensive testing including data quality and unit tests. - Documentation: Maintain a high-quality data dictionary to ensure consistent understanding of data across the company. What You'll Bring: - 2–4+ years of experience within data analytics, analytics engineering, or data engineering. - Proven track record of building and maintaining production-grade data models and transforming raw data into actionable datasets. - Proficiency in writing complex, performant SQL for data transformation and analysis. - Practical experience with dbt for modeling and GitHub for version control. - Experience working within cloud data warehouses such as Snowflake. - Ability to build and maintain dashboards in Looker, Tableau, or Power BI. - Experience implementing data quality tests and participating in CI/CD workflows. - Strong ability to understand business metrics and translate stakeholder requirements into technical tasks. - Ability to communicate technical concepts clearly to non-technical stakeholders. - Comfortable working in a fast-paced environment and managing multiple priorities simultaneously. - Must be able to work core aligned hours to US Eastern Time / GMT-5. Compensation and Benefits: - Estimated base salary range: $76,000 - $86,000 annually plus bonus depending on skills, experience, and location. - Benefits include 401(k) match, medical, dental, and vision insurance; life and disability insurance; paid time off including vacation, sick leave, holidays, maternity and bonding leave; EAP and wellbeing resources. Xometry is an equal opportunity employer. For US-based roles, Xometry participates in E-Verify and will confirm employment authorization after offer acceptance.