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StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity. StackAdapt is the no. 1 performing programmatic advertising platform helping brands accelerate customer engagement and acquisition. This state-of-the-art platform is where some of the most progressive work in machine learning meets cutting-edge user experience. Ranking the highest in performance by G2 Crowd for the fourth time, we're one of the fastest growing companies in Canada and ranks 6th in Deloitte's Technology Fast 50 ranking and 23rd in Fast 500 in North America. We're seeking a Staff Software Engineer to help lead our growing backend engineering team. Our real-time advertising bidding system handles over 3,000,000 requests per second and stores several terabytes of data every day. Our technologies include Go, Ruby on Rails, Aerospike, Redis, Elasticsearch, Kafka, RocksDB, Redshift, ScyllaDB, GraphQL and others. We're not afraid to test and try new technologies. Watch our talk at Amazon Tech Talks: _ StackAdapt is a Remote First company, we are open to candidates located anywhere in North America for this position. \n What you'll be doing: • Working with a team of engineers to build first-party and third-party data integration with external data sources, • Integrate data into StackAdapt’s Customer Data Platform (CDP), • Architect scalable low-latency backend systems and data pipelines. Write code as needed to support the team., • Provide technical leadership in designing scalable solution and best practices, • Make a positive impact on the team's productivity and growth, • Promote software development best-practices and conduct rigorous code reviews, • Rigorously identify and solve technical challenges We'll be reaching out to applicants that have: • Adtech experience or Martech experience is an asset, • Proven track record of building scalable pipelines and services, • Experience with working with large data in low-latency environments, • At least 5 years experience of software development in distributed systems, architecting scalable microservices and data pipelines in a successful high-growth technology company, • A strong understanding of computer science fundamentals, data structures, and algorithms, • Up to date knowledge and experience in the latest technologies, tools, and frameworks, • Experience with Go and high performance databases is a plus StackAdapters enjoy: • Highly competitive salary, • RRSP/401K matching, • 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off, • Access to a comprehensive mental health care platform, • Full benefits from day one of employment, • Work from home reimbursements, • Optional global WeWork membership for those who want a change from their home office, • Robust training and onboarding program, • Coverage and support of personal development initiatives (conferences, courses, etc), • Access to StackAdapt programmatic courses and certifications to support continuous learning, • An awesome parental leave policy, • A friendly, welcoming, and supportive culture, • Our social and team events! \n StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: _ _ _ and by Great Place to Work® _ #LI-Remote

Zimperium, Inc. is a global leader in mobile device and app security, offering real-time, on-device protection against both known and unknown threats on Android, iOS and Chromebook endpoints. The company was founded under the premise that the then current state of mobile security was insufficient to solve the growing mobile security problem. At the time, most mobile security was a port from traditional endpoint security technologies. Zimperium recognized mobile devices had unique characteristics needing a completely new approach. The team set to work to reimagine how to protect mobile devices and developed the award winning, patented z9 machine learning-based engine. As part of our fast growing pace, we are currently looking for a Customer Support Engineers become the technical expert responsible for supporting the Customers using our solution. This resource should be a self-driven individual who assumes accountability in ensuring high level of customer satisfaction. The individual should have strong technical skills and an analytical mind to research, diagnose and resolve the issues raised by the Customers. Should be team player capable of collaborating with the Product, DevOps, and Engineering teams. Location: Dallas, TX & Bangalore, India, & EMEA (UK) • Product & Domain Expertise – Understands mobile applications, SaaS based delivery models and troubleshoot /debug issues reported by the customer., • Customer Satisfaction & Risk Management – Maintain a high level of customer satisfaction and take ownership of customer issues reported and seeing problems through to resolution while providing Zimperium’s management with adequate visibility on any potentials risks., • Roll up your sleeves – Learn everything about the product, Validate Customer specific fixes and releases working with QA team, develop technical documentation for specific customer needs., • Customer Advocacy – Gather Customer’s feedback and follow the standard escalation procedures for unresolved product issues and bugs, creating JIRAs for engineering to work on., • Collaborate with internal teams – Work closely with customer success, development and product teams in different time zones to address customer issues. Desired Skill Set:, • Strong SQL skills, python/ java scripting, Unix skills., • Prior experience with Mobile Apps, mobile architecture and MDM Solutions like MS-Intune, AirWatch, Mobile Iron, Citrix., • Familiarity to SIEM tools like ArchSight, Splunk, etc., • Familiarity with Cloud Architecture : Amazon Web Services components, Linux Containers / Docker, OpenStack, postgress, kaftka., • The following skills are a plus: Android Studio (adb, junit), xCode., • Bachelor’s in computer science or information technology or an equivalent engineering degree., • 5+ years (Mid-Level) or 1-3 years (Junior) of experience working with Enterprise software solutions, startup experience desirable., • Good understanding and proven experience in supporting cloud-based web applications., • Hands-on skillsets with Python, Java and SQL Scripting. At least 1-3 years of experience implementing and supporting Mobile application infrastructure., • Self-motivated, extensive troubleshooting skills and knowledge of debugging required., • Customer oriented and face to face post-sales services experience with excellent communications skills., • Experience in Mobile app delivery and deployment concepts on iOS and Android will be plus.Zimperium, Inc. is a global leader in mobile device and app security, offering real-time, on-device protection against both known and unknown threats on Android, iOS and Chromebook endpoints. The company was founded under the premise that the then current state of mobile security was insufficient to solve the growing mobile security problem. At the time, most mobile security was a port from traditional endpoint security technologies.Zimperium recognized mobile devices had unique characteristics needing a completely new approach. The team set to work to reimagine how to protect mobile devices and developed the award winning, patented z9 machine learning-based engine. Zimperium is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

We’re looking for a seasoned cloud and machine learning expert who thrives at the intersection of AWS, DevOps, and scalable ML platforms. If you enjoy building modern, production-grade ML systems and shaping cloud transformation strategies, this role is for you. What You’ll Bring • 10+ years of overall experience, including 7+ years leading AWS cloud transformation and DevOps initiatives, • Deep expertise in building and managing end-to-end machine learning lifecycles using Amazon SageMaker, • Proven ability to design, deploy, and optimize CI/CD pipelines for ML workflows, including model containerization with Docker and deployment via SageMaker endpoints, • Strong experience in monitoring model performance, ensuring model health, and maintaining robust, scalable infrastructure, • Solid understanding of data governance, security, and compliance in cloud-based ML environments What You’ll Do • Architect and implement production-grade ML platforms on AWS, • Establish best practices for ML Ops, CI/CD, and automated deployments, • Drive observability, reliability, and performance improvements across hybrid cloud ecosystems, • Define and manage persona-based access controls using SageMaker Role Manager, • Set up and manage SageMaker Studio domains, user profiles, and secure VPC configurations What Makes You Stand Out • 5+ years of AWS architecture experience, • AWS Solutions Architect Certification, • Strong grasp of DevOps, SRE principles, and modern observability tools

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity. StackAdapt is the no. 1 performing programmatic advertising platform helping brands accelerate customer engagement and acquisition. This state-of-the-art platform is where some of the most progressive work in machine learning meets cutting-edge user experience. Ranking the highest in performance by G2 Crowd for the fourth time, we're one of the fastest growing companies in Canada and ranks 6th in Deloitte's Technology Fast 50 ranking and 23rd in Fast 500 in North America. We're seeking a Staff Software Engineer to help lead our growing backend engineering team. Our real-time advertising bidding system handles millions of requests per second and stores several terabytes of data every day. Our technologies include Go, Ruby on Rails, Aerospike, Redis, Elasticsearch, Kafka, RocksDB, Redshift, ScyllaDB, GraphQL and others. We're not afraid to test and try new technologies. Watch our talk at Amazon Tech Talks: _ StackAdapt is a Remote First company, we are open to candidates located anywhere in North America for this position. \n What you'll be doing: • Integrate data into StackAdapt’s Customer Data Platform (CDP), • Architect scalable low-latency backend systems and data pipelines. Write code as needed to support the team., • Provide technical leadership in designing scalable solution and best practices, • Make a positive impact on the team's productivity and growth, • Promote software development best-practices and conduct rigorous code reviews, • Rigorously identify and solve technical challenges We'll be reaching out to applicants that have: • Adtech experience or Martech experience is an asset, • Proven track record of building scalable pipelines and services, • Experience with working with large data in low-latency environments, • At least 5 years experience of software development in distributed systems, architecting scalable microservices and data pipelines in a successful high-growth technology company, • A strong understanding of computer science fundamentals, data structures, and algorithms, • Up to date knowledge and experience in the latest technologies, tools, and frameworks, • Experience with Go and high performance databases is a plus StackAdapters enjoy: • Highly competitive salary, • RRSP/401K matching, • 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off, • Access to a comprehensive mental health care platform, • Full benefits from day one of employment, • Work from home reimbursements, • Optional global WeWork membership for those who want a change from their home office, • Robust training and onboarding program, • Coverage and support of personal development initiatives (conferences, courses, etc), • Access to StackAdapt programmatic courses and certifications to support continuous learning, • An awesome parental leave policy, • A friendly, welcoming, and supportive culture, • Our social and team events! \n StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: _ _ _ and by Great Place to Work® _ #LI-Remote

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. Senior Data Scientist - VLM (LATAM) Xometry is seeking a Senior Data Scientist to join our Generative AI team. The candidate will focus on training and fine-tuning Visual Language Models (VLMs) for multimodal document understanding. The ideal candidate will leverage their expertise in machine learning and computer vision to advance Xometry's capabilities in processing and extracting structured data from complex documents and images. This is a 1-year contract. Responsibilities: • Develop, fine-tune, and evaluate Visual Language Models (VLMs) to enhance document understanding, focusing on multimodal data such as text, images, and technical drawings., • Design and implement data preparation, cleaning, and augmentation processes tailored to multimodal model training, ensuring high-quality data pipelines for VLMs., • Leverage transfer learning and pre-trained models to accelerate model development and optimize performance on Xometry’s specific data., • Use cloud resources (e.g., Amazon Web Services) to scale training and fine-tuning processes for VLMs efficiently., • Collaborate with data engineering and machine learning operations (MLOps) teams to deploy VLMs into production and monitor their performance., • Interpret model outputs and improve model accuracy and robustness by applying data analysis and visualization tools (such as Python, Jupyter Notebooks, and SQL)., • Experiment with and implement state-of-the-art model architectures, continuously optimizing VLM performance in a fast-paced, iterative environment., • Work within a team-oriented setting, participating in peer reviews, sharing insights, and contributing to an environment of continuous learning and improvement. Requirements: • A bachelor’s degree is required; an advanced degree (M.S. or PhD) in computer science, data science, machine learning, or a related field is highly preferred., • 5+ years of experience in data science and machine learning, with expertise in Visual Language Models or multimodal machine learning., • Strong experience with machine learning libraries and frameworks such as PyTorch, TensorFlow, or Hugging Face., • Proficiency in Python, including libraries like pandas, numpy, and scikit-learn., • Solid understanding of deep learning techniques and experience with transfer learning, fine-tuning, and model evaluation., • Experience with cloud platforms (e.g., AWS SageMaker) for model training and deployment., • Familiarity with data processing and visualization tools (SQL, Jupyter Notebooks, Looker, etc.) and basic database knowledge (e.g., Snowflake, MongoDB)., • Excellent analytical and problem-solving skills, with a strong ability to work in an environment that values teamwork, innovation, and continuous learning., • Familiarity with computer vision tasks and frameworks, as well as experience with multimodal data, is a plus. #LI-Remote Here at Xometry we believe in diversity, equity, inclusion and belonging. We are committed to welcoming, respecting, and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. 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 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.

Yobi is a rapidly growing tech company in the behavioral modeling and personalization space. Our mission is to ethically democratize the AI revolution. Since our founding in 2019, we have been busy assembling one of the largest consented behavioral datasets in the US, beyond the walled gardens of BigTech. This diverse understanding of consumer intent underpins a proprietary, private-by-design AI model that supercharges machine learning and marketing performance for some of the worlds leading brands, agencies, and Martech / AdTech platforms. At Yobi we believe that every employee should be empowered to own 0-1 contributions and have the opportunity to achieve real impact - and scale that impact - on the business. If that sounds like an exciting opportunity to you, we want to hear from you. Yobi Highlights: Partnerships with Microsoft and Databricks Fully remote or hybrid from several hubs (Boston, SF Bay Area, Seattle, NYC) World-class team of Machine Learning experts who worked on cutting edge recommender systems and internal tools @ Amazon, Uber, Twitter, Meta, etc. Product and Go-To-Market teams who have taken ideas from concept to 9 figure revenue streams Benefits: Competitive Base Salary Bonus structure for qualifying employees Meaningful equity & financial upside - a real % of the company Health, Dental, Vision Flexible PTO 401k === As a SWE at Yobi, you will be focused on up-leveling us in terms of build systems, deployments, pipelines / orchestration, scaling ML training/inference, integrations to channel partners, and general infrastructure-as-code. We believe that while we are small and nimble, it is best to weave these functions into our "Product" teams. For more context, please see the MLE postings: _ _ Feel free to use this job posting if you find yourself more on the SWE side of the spectrum. === We prioritize attitude, culture, and general (technical) fit over matching perfectly into one of our job descriptions. If our mission and work resonates with you, we encourage you to apply. Tell us how you can help drive our products forward, even if you don’t feel like you are a perfect fit for some of the listings.

Summary Description: Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for an experienced and talented DevOps Machine Learning Infrastructure Engineer to take on a critical role with expansive responsibilities to enhance the Software Engineering function in a growing organization. This individual will play a crucial role in maintaining and enhancing our machine learning applications, specifically those deployed on AWS Elastic Kubernetes Service (EKS) and on-premises machine learning cluster. The ideal candidate will have experience with cloud infrastructure, containerization, and DevOps practices, as well as the ability to work on both on-premises and cloud environments. Specific Duties and Responsibilities: • Develop, maintain, and optimize RESTful APIs using Python and FastAPI., • Deploy & manage applications on AWS EKS, ensuring high availability, scalability, and performance., • Integrate with various data sources & services (e.g., MongoDB, Postgres) for efficient data storage and retrieval., • Implement CI/CD pipelines to automate testing and deployment processes., • Collaborate across teams to ensure seamless integration of cloud-native tools and practices., • Maintain on-premises servers running Ceph, PostgreSQL, and NFS services., • Troubleshoot & resolve issues across different environments (development, staging, production)., • Participate in code reviews, pair programming, and knowledge sharing sessions. Qualifications, Education, and Experience Required: • Bachelor's Degree in Computer Science or equivalent work experience., • Minimum of 5 years of relevant experience., • Proficiency in Python, with experience using FastAPI for API development., • Hands-on experience with AWS EKS, including deploying, scaling, and managing Kubernetes clusters., • Knowledge of containerization technologies (Docker, Kubernetes)., • Experience with cloud infrastructure services such as S3, RDS, and VPCs., • Familiarity with CI/CD tools like GitLab CI/CD or Jenkins., • Strong understanding of database systems, including MongoDB, PostgreSQL, and NFS., • Experience with on-premises storage solutions like Ceph., • Expertise in Linux system administration., • Ability to write clean, maintainable code and perform thorough testing., • Excellent problem-solving skills and a strong attention to deta., • Experience with cloud-native observability tools (Prometheus, Grafana) is a plus., • Familiarity with Kubernetes operators and Helm charts is a plus., • Knowledge of container orchestration on-premises using K8s or similar technologies is a plus., • Experience with DevOps best practices and infrastructure as code (Terraform, Ansible) is a plus. Benefits Summary: • Medical: Several plan options including PPO and HSA-compatible plans from Anthem Blue Cross, most of which are 100% paid by Syntiant Corp. for you and your family., • Dental: Company-paid dental PPO coverage from MetLife, including coverage for Orthodontia., • Vision: Company-paid vision PPO coverage from MetLife / VSP., • Life Insurance / AD&D: Company-paid basic Life / AD&D coverage in the amount of 3x your salary (up to $1,000,000). Additional supplemental life insurance with low group rates is available for yourself and your family., • Disability Coverage: Company-paid Short Term and Long-Term Disability coverage provides up to 60% income replacement protection., • Spending and Savings Accounts: Flexible Spending Account (FSA) benefits for Health Care and Dependent Care. Health Savings Accounts (HSA) for those enrolled in a qualified Medical plan., • 401K Retirement Plan: Administered by Empower, the 401(k) plan allows you to plan for your future by investing a portion of each paycheck., • Other Benefits: A company-provided Employee Assistance Program (EAP), as well as access to additional voluntary benefits including Accident, Critical Illness, Hospital Indemnity, Legal Support, and Identity Fraud Protection. About Syntiant: Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting_. Elements of our total compensation package include base pay, annual incentive plan, participation in our equity plan, and robust benefits program. Individual compensation decisions are based on a number of factors, including but not limited to previous experience and skills acquired prior to joining Syntiant, cost of living in the assigned work location, assigned schedule, and salaries of similarly situated peers at the company. It is to be expected that candidates will come to us with different sets of skills and experiences and therefore will be paid at different points in the stated range. We recognize that the person(s) we select for hire may be less experienced or more experienced than the role as posted; if this is the case, any updates to available salary ranges will be communicated with candidates during the recruitment process.

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity. We're looking to add Data Engineers to our data science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our data scientists, data engineers, Engineering team, and CTO on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle. Want to learn more about our Data Science Team: _ Learn more about our team culture here: _ Watch our talk at Amazon Tech Talks: _ StackAdapt is a Remote First company, and we are open to candidates located anywhere in the US for this position. \n What you'll be doing: • Design modular and scalable real time data pipelines to handle huge datasets, • Understand and implement custom ML algorithms in a low latency environment, • Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently What you'll bring to the table: • Have the ability to take an ambiguously defined task, and break it down into actionable steps, • Have deep understanding of algorithm and software design, concurrency, and data structures, • Experience in implementing probabilistic or machine learning algorithms, • Interest in designing scalable distributed systems, • A high GPA from a well-respected Computer Science program, • Enjoy working in a friendly, collaborative environment with others StackAdapters enjoy: • Competitive salary + equity, • 401K matching, • 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off, • Access to a comprehensive mental health care platform, • Health benefits from day one of employment, • Work from home reimbursements, • Optional global WeWork membership for those who want a change from their home office, • Robust training and onboarding program, • Coverage and support of personal development initiatives (conferences, courses, etc), • Access to StackAdapt programmatic courses and certifications to support continuous learning, • Mentorship opportunities with industry leaders, • An awesome parental leave policy, • A friendly, welcoming, and supportive culture, • Our social and team events! \n If this role speaks to you then please apply - we'd love to speak with you. Due to a high volume of interest, only those shortlisted for interview will be contacted. #LI-KR1 StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: _ _ _ and by Great Place to Work® _ #LI-Remote

Every company needs supplies and services to operate. From laptops and rental cars to pens and pallets, all companies have procurement needs. That’s where CoreTrust comes in. CoreTrust provides a B2B marketplace that has transformed how companies buy billions of dollars’ worth of supplies and services annually. We’re on a mission to be the one place where buyers and suppliers connect, secure purchasing agreements, transact, and partner to realize savings. To support our growth, we’re seeking an experienced Senior Data Scientist to join our Data Solutions team. The CoreTrust Data Solutions team's charter is to foster a data-driven culture to encourage and enable the entire organization to make more informed decisions through data. Our data and analytics team works closely with engineering, sales, marketing, finance, and business leaders to identify opportunities for improving customer experience and accelerate our business's growth in support of this mission. This is a unique opportunity to bring your knowledge of enterprise software offerings, as well as your understanding of data science methods and best practices, to help CoreTrust deliver the best experience possible for our customers and partners. Responsibilities • Work with other teams across CoreTrust to develop key metrics to achieve business outcomes., • Work cross functionally to translate business problems into solutions that can be solved and informed by data and automated with AI Agents., • Have curiosity and apply analytical skills to dive deep into data to find key insights that impact the business., • Develop models of usage, user behavior & business behavior to make recommendations and influence the product road map., • Be a champion of AB testing. Design, execute and analyze experiments to prove product change attribution., • Utilize tools like SQL, Python, LLMs and platforms like Azure AI Foundry or Amazon Bedrock to execute analysis and create AI applications., • Track and monitor projects in JIRA, • Design, implement, and maintain analytics, models and LLM-driven scripts/software, • Work with stakeholders across the organization to understand requirements and generate actionable insights, • Work as part of a team to maintain a high-quality data lake house, • Serve as a subject matter expert on machine learning, AI agents, and statistics, • Be part of the Data Science Team to share ideas and best practices, • Create dashboards and reports to clearly and concisely communicate results and insights, • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 4+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results), • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results), • 4+ years of experience in data science and analytics, • Experience with design and maintenance of advanced data systems, • Deep understanding of data modeling, statistics, and data visualization concepts, • Comfortable working with data in a variety of formats and languages, like CSV, Parquet, XLSX, JSON, etc. and SQL/Python, • Experience with Azure or AWS cloud platforms, OpenAI and Anthropic APIs, RAG-based chatbots, AI Agents, LLMs and other foundational AI/GenAI models, • Ability to use your understanding of statistics and modeling to explain complex outputs to non-technical team members, • Experience with tools like PowerBI, Snowflake, N8N, Claude Code, OpenAI Codex, Cursor, • Competitive compensation package, • Free individual employee medical coverage, • Company subsidized dental and vision coverage, • Dollar for dollar 401(k) match up to 6% of your salary with immediate vesting, • Company-paid Short-Term and Long-Term Disability coverage, • Employee Assistance Program to support your wellbeing and mental health, • $1500 annual stipend for undergraduate/graduate college courses; $500 annual stipend for continuing education courses/certifications, • Free snacks and beverages on-site, • Brand new, state-of-the-art, tech-enabled work environment in downtown Nashville, • Flexible/hybrid work culture

Company Overview Avy is a well-funded stealth-stage startup that is revolutionizing how people work with each other and their computers. Our vision is to create a future where humans and computers work together side-by-side in seamless collaboration. We believe in the power of teamwork, trust, and the potential for humans and computers to enhance each other's capabilities. With this vision in mind, we are building innovative software solutions that empower individuals and teams to achieve their best work. What You Will Do As a founding Senior Mac Engineer at Avy, you will play a pivotal role in bringing our product vision to life and have exceptional prospects for growth in a fast-paced environment. You will have the chance to build high-quality software that bridges the gap between humans and computers. Your work will involve: • A combination of low-level OS-integration, creative UI design, and overall application polish., • Collaborating with your talented teammates, as we believe it is essential to leverage each other's strengths to create remarkable products., • Developing code in a manner that balances both speed and quality, so the team can meet its goal to ship quickly while maintaining a focus on long-term sustainability., • Helping shape our engineering culture and processes including rigorous testing, code reviews, and continuous integration processes. Skills You Will Need • Minimum of 6 years of experience as a high-performing software engineer., • Strong expertise in Apple ecosystem development, including iOS and macOS, Swift and Objective-C, SwiftUI, AppKit, and UIKit., • Curiosity about machine learning and AI, with some experience building products in these areas., • Excellent problem-solving skills and the ability to balance speed and maintainability in code development. Benefits & Perks • Competitive salary complemented by meaningful equity incentives., • Comprehensive benefits package, including 401K with company match, HSA, health, vision, dental, disability, and life insurance., • Paid time off., • Developer-worthy equipment and tools are provided to ensure you have all you need to excel., • Nearly endless opportunities for growth and advancement as the company succeeds and meets its objectives., • Avy follows a "pragmatic hybrid" work approach, combining the benefits of remote work with the undeniable value of occasionally scheduled in-person collaboration. While you can be based anywhere in the USA, there will be occasional travel to our offices in Utah and future locations, such as New York City., • Commitment to diversity and inclusion, creating a welcoming environment for all. Additional Information • Avy only accepts candidates who reside and are authorized to work in the U.S. Join us at Avy and be part of a team founded by industry experts with a track record of success at companies like Apple, Microsoft, Bose, Amazon, and high-growth startups. Together, let's build a future where humans and computers work together in harmony. Apply now with your resume and a cover letter that showcases your passion and fit for this role.

Business Analyst III - Power Platform Specialist (REMOTE) Job Summary: Alexandria Insights is seeking a highly skilled Business Analyst III with expertise in PowerBI, PowerApps, DAX queries, and other related tools to support NIWC Pacific Office of the CTO. Key Responsibilities: • Design, develop, and maintain business intelligence solutions, dashboards, data visualizations, and workflow automations using the Microsoft Power Platform., • Collaborate with stakeholders to gather business requirements and design solutions that meet their needs., • Develop and maintain data models, data warehouses, and data governance frameworks using Dataverse and other related tools., • Integrate Power Platform solutions with O365 and other Microsoft tools to enable seamless workflow automation and data sharing. Requirements and Preferred Experience: • Bachelor's degree in computer science, Information Systems, Business Administration, or a related field., • 2+ years of experience in developing business intelligence solutions using PowerBI, PowerApps, and DAX queries., • 1+ year of experience with Dataverse, including data modeling, data governance, and data integration., • Experience with O365, including SharePoint Online, Microsoft Teams, and OneDrive for Business., • Advanced skills in PowerBI, including data modeling and data visualization, DAX query development and optimization, and report and dashboard design., • Proficiency in PowerApps, including application development and deployment, and business logic and workflow design., • Strong understanding of data analysis and data visualization principles. Skills Assessment: • PowerBI: 90% or higher proficiency, • PowerApps: 90% or higher proficiency, • DAX queries: 90% or higher proficiency, • Dataverse: 90% or higher proficiency, • O365: 90% or higher proficiency, • Communication and interpersonal skills: 90% or higher proficiency Job Requirements: • Proficiency in SharePoint development, including SharePoint Framework (SPFx) and SharePoint REST API., • Experience with other Microsoft Power Platform tools, such as Power Automate (formerly Microsoft Flow) and Power Virtual Agents., • Knowledge of data science concepts and machine learning algorithms., • Experience with cloud-based data platforms, such as Azure Synapse Analytics or Amazon Redshift., • Microsoft Certified: Power Platform Developer Associate certification. Salary Range: $119,000 to $125,000 depending on experience. ACTIVE Secret Clearance Required This position is contingent upon award Education: bachelor’s degree in computer science, Information Systems, Business Administration, or a related field. Master's degree in business administration, Data Science, or a related field (optional). Join a Top Workplace! Alexandria Insights, a Service-Disabled Veteran-Owned Small Business (SDVOSB), was recently named one of The Washington Post’s Top 250 Workplaces in the Washington, D.C. Metro area—ranking #3 out of 98 in the midsize company category! We are dedicated to helping our customers solve meaningful problems through the effective and efficient use of technology. If you're self-motivated, entrepreneurial, and hard-working, and you're looking to join a growing small company with big opportunities, we encourage you to apply. Submit your resume today and take the next step in your career with one of the region’s top-ranked employers. Alexandria Insights is an EEO/AA/Disability/Veterans Employer. We consider applicants for all positions without regard to race, color, religion, creed, gender, marital status, veteran status, national origin, age, sexual orientation, disability, or any other legally protected status. We also provide reasonable accommodations for individuals who are unable to use the online system due to a disability.

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity. StackAdapt is the no. 1 performing programmatic advertising platform helping brands accelerate customer engagement and acquisition. This state-of-the-art platform is where some of the most progressive work in machine learning meets cutting-edge user experience. Ranking the highest in performance by G2 Crowd for the fourth time, we're one of the fastest growing companies in Canada and ranks 6th in Deloitte's Technology Fast 50 ranking and 23rd in Fast 500 in North America. We're seeking a Staff Engineer to help lead our growing backend engineering team. Our real-time advertising bidding system handles over 3,000,000 requests per second and stores several terabytes of data every day. Our technologies include Go, Ruby on Rails, Aerospike, Redis, Elasticsearch, Kafka, RocksDB, Redshift, ScyllaDB, GraphQL and others. We're not afraid to test and try new technologies. About the Team: The Stats & Analytics team at StackAdapt is responsible for managing the end-to-end data lifecycle, from ingesting diverse data types such as engagement events (impressions, clicks) and conversion data (purchases, website visits) to distributing this data across critical downstream services like reporting, billing, bidding, and analytics. We also ensure that this data is accessible for offline use, supporting data warehousing, client reporting, and custom dashboards. Our team tackles complex distributed system challenges, focusing on scalability, performance, reliability, and data consistency. We leverage a modern tech stack that includes Golang for high-performance services, TiDB for scalable SQL databases, Redshift and Snowflake for data warehousing, Kafka for real-time streaming, Elasticsearch for powerful search and analytics, and HDFS for distributed storage. If you're passionate about solving large-scale data problems and working with cutting-edge technologies, the Stats & Analytics team offers an exciting opportunity. Watch our talk at Amazon Tech Talks: _ StackAdapt is a Remote First company, we are open to candidates located anywhere in North America for this position. \n What you'll be doing: • Working with team of engineers focused on building StackAdapt’s stats and analytics offering, • Build deep understanding and expertise in multiple different databases that house petabytes of data, • Architect scalable low-latency backend systems and data pipelines. Write code as needed to support the team., • Lead and mentor a team of talented engineers within the backend distributed systems team, • Make a positive impact on the team's productivity and growth, • Promote software development best-practices and conduct rigorous code reviews, • Rigorously identify and solve technical challenges, • Conduct interviews to attract and identify potential high performing candidates, • Balance and prioritize projects to maximize efficiency and ensure company objectives are achieved We'll be reaching out to applicants that have: • Experience with working with large datasets, • Experience with real-time analytics services, • Proven track record of delivering results and leading growing, high-impact teams, • At least 5 years experience of software development in distributed systems, architecting scalable microservices and data pipelines in a successful high-growth technology company, • At least 1 year of leadership experience, including all the responsibilities listed above, • A strong understanding of computer science fundamentals, data structures, and algorithms, • Up to date knowledge and experience in the latest technologies, tools, and frameworks, • Experience with Go and high performance databases is a plus StackAdapters enjoy: • Highly competitive salary, • RRSP/401K matching, • 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off, • Access to a comprehensive mental health care platform, • Full benefits from day one of employment, • Work from home reimbursements, • Optional global WeWork membership for those who want a change from their home office, • Robust training and onboarding program, • Coverage and support of personal development initiatives (conferences, courses, etc), • Access to StackAdapt programmatic courses and certifications to support continuous learning, • An awesome parental leave policy, • A friendly, welcoming, and supportive culture, • Our social and team events! \n StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: _ _ _ and by Great Place to Work® _ #LI-Remote

Job Description Responsibilities Position Responsibilities: • Design, build, and maintain Continuous Integration/Continuous Development (CI/CD) pipelines for machine learning models, • Deploy and manage ML models in production environments using containerization and orchestration technologies, • Implement monitoring, logging, and alerting solutions to track model performance, system health, and data drift, • Collaborate with data scientists to understand model requirements and optimize the process of transforming models from development to a production-ready state, • Create and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and deployments, • Define ML/Artificial Intelligence (AI) governance to ensure data security and ethical standards are met for all modeling processes, • Travel up to 5% of the time, • Other duties as assigned Qualifications Required Education and Experience: • Bachelor’s degree in computer science, Data Science, Mathematics, or related quantitative discipline and 3 to 5 plus years of experience in ML Engineering, Software Engineering, or a related field or High School Diploma/General Education Diploma and 7 plus years of the above stated experience Preferred Education and Experience: • Master’s Degree in computer science, Data Science, or other graduate education in related quantitative fields, • Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML development lifecycle, • Experience building ML Ops infrastructure and serving models via cloud platforms such as Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP), • Strong proficiency in Python and working knowledge of Bash/shell scripting for automation and system operations, • Strong understanding of Structured Query Language (SQL) and experience with big data platforms, i.e., Snowflake, Databricks, or similar, • Experience with Infrastructure-as-Code tools, i.e., Terraform, Azure Resource Manager, or similar

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients. Specific responsibilities for the Lead Machine Learning Engineer position include: • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs, • Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs., • Deconstructing client needs into data-driven processes/models and analytical measures., • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP)., • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring)., • Productionizing ML systems with a focus on optimization and scalability to satisfy clients’ requirements., • Growing CapTech’s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers. Qualifications • 7+ years of experience delivering data engineering and machine learning solutions on cloud platforms, • Bachelor's degree or equivalent combination of education and experience., • Experience providing technical leadership and mentoring other engineers in data engineering space, • Hands-on experience manipulating and analyzing large (multi-billion record) data sets., • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages., • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting., • Proficiency with containerization (e.g., Docker) and microservices., • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS, • Comfort and proficiency in framing data-driven problems from cross-industry business requirements., • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels), • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision)., • Knowledge of DevOps and automation best practices., • Knowledge of statistics and statistical modeling methods., • Knowledge of model management and model versioning best practices., • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting, • Experience with prompt engineering, MCP and RAG, and agentic AI architectures, • Strong understanding of conversational UX and prompt evaluation metrics, • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.), • Experience with multi-agent orchestration Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities., • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com. CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $90,000 - $200,000. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients. Specific responsibilities for the Machine Learning Engineer position include: • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs, • Deconstructing client needs into data-driven processes/models and analytical measures., • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP)., • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring)., • Productionizing ML systems with a focus on optimization and scalability to satisfy clients’ requirements., • Growing CapTech’s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers. Qualifications • Bachelor's degree or equivalent combination of education and experience., • Hands-on experience manipulating and analyzing large (multi-billion record) data sets., • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages., • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting., • Proficiency with containerization (e.g., Docker) and microservices., • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS, • Comfort and proficiency in framing data-driven problems from cross-industry business requirements., • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels), • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision)., • Knowledge of DevOps and automation best practices., • Knowledge of statistics and statistical modeling methods., • Knowledge of model management and model versioning best practices., • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting, • Experience with prompt engineering, MCP and RAG, and agentic AI architectures, • Strong understanding of conversational UX and prompt evaluation metrics, • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.), • Experience with multi-agent orchestration Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities., • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com. CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $90,000 - $200,000k. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job Description About Us: Pacvue is the leading Commerce Operating System, unifying retail media, commerce management, and advanced measurement across 100+ global marketplaces, including Amazon, Walmart, Target, and Instacart. Through Pacvue and Helium 10, our enterprise and SMB platforms, we empower over 70,000 brands, agencies, and sellers with AI-driven insights and technology to win in today's rapidly evolving commerce landscape. At Pacvue and Helium 10, great careers don't just happen — they're built. Here, you'll rise as an industry leader, push the boundaries of innovation, own your journey, and thrive as part of an inclusive global community that's redefining the future of commerce. About the Role: We are seeking an experienced Senior Display Media Account Manager to develop and execute digital media strategies on behalf of clients. As a Senior Display Media Account Manager, you will be responsible for driving superior business results through strong relationship building, developing an in-depth knowledge of the client's business goals and objectives, understanding the categories in which they compete to strategically grow share, while providing solid reporting and analytics to demonstrate success against joint business plans. This role will be primarily focused on Amazon DSP, with additional training responsibilities which are intended to educate our clients on DSP best practices, teach them how to build and manage an effective DSP strategy, and demonstrate how to integrate complex DSP campaigns into a cohesive, full-funnel advertising program. We are looking for a self-starter with a proven track record of building relationships and taking full ownership of client inputs to deliver results. The ideal candidate will deliver an excellent client experience and execute at both a strategic and tactical level to deliver growth for our clients across various retail media platforms, with a strong focus on Amazon DSP. This includes activities such as creating and managing display media strategies for various retailers, providing annual and ongoing budget recommendations to help clients achieve their business objectives, highlighting other operational KPIs or opportunities that impact advertising effectiveness, and delivering regular reporting on advertising performance. This position requires a candidate who can easily dive deep into a data set, develop tactical strategies, and present their action plan to gain alignment with senior leaders. Why work at Pacvue? • Be on the cutting edge - Pacvue is transforming the way brands and sellers win online. Our product uses machine learning, artificial intelligence, and data to make intelligent decisions and recommendations., • Have fun – we have an energetic and passionate team with a joint mission to win and help our brands and sellers succeed., • Learn – from the best! Our team is full of talented people who want to help you learn, grow – providing you with mentorship, the industry's best practices and thought leadership., • Grow fast – the eCommerce industry has grown fast in the past 2-3 years. Pacvue has grown even faster than most high-tech companies in the market. Responsibilities: • Fully own the client relationship by building solid rapport, demonstrating transparency, and delivering results against joint business objectives, • Develop strategic growth plans, gain client alignment, and fully execute against the aligned upon approach, • Measure efficacy of the strategy through regular reporting against core retail media KPIs and ad-hoc audits to identify areas for refinement, • Highlight incremental sales opportunities to clients through participation in retailer programs, additional promotional opportunities, and recommendations to improve operational KPIs, • Develop annual budget recommendations and properly allocate across campaigns to align with high level business objectives, • Develop an annual marketing calendar incorporating key drive periods (including relevant macro and micro seasons), new product launches, and clients' national media calendars, • Leverage Pacvue technology to manage budget allocation, communicate with client on trends and pacing, and deliver results within client budget thresholds, • Prepare weekly and monthly retail media performance reports, analyze category trends, measure advertising and total sales, identify account trends, and perform competitive benchmarking across the client's product portfolio, • Maximize retailer share, revenue, and profitability for clients while integrating client's internal objectives such as driving innovation or key items or product lines, • Create strategic retail media plans for new product launches, including recommendations for retail readiness across core KPIs, • Act as Amazon DSP expert within broader Pacvue team, with potential to train and educate internal teams on DSP best practices, • Responsible for reporting, analysis, and communication with Pacvue and client management teams Skills & Qualifications: • 5+ years' experience working in eCommerce advertising, marketing, or sales, and/or digital marketing, • 5+ years previous client-facing account management experience, • Previous product management, project management, financial analysis, negotiation and/or marketing experience is a plus, • An in-depth knowledge of display media advertising, with prior Amazon DSP experience, • Demonstrate an in-depth understanding of how retail media, sales, and operations work together to successfully drive an eCommerce business, • Proven track record in relationship building and account management, • Proven success in driving results and implementing ideas in a fast-paced environment, • Works efficiently and is always looking to streamline processes and workflows, • Excellent organizational, communication, and presentation skills, • Strong analytical skills and the ability to take large data sets and extract actionable recommendations are a must, • Moderate Excel and PowerPoint skills are a must Company Benefits: • Unlimited Paid Time Off, • Paid Holidays and Floating Holidays, • Medical, Dental, Vision, FSA/HSA, Life Insurance and Pet Insurance, • 401k with Employer Match, • Remote Work Options and Flexibility, • Take up to 2 Days of Paid Time Off to Volunteer with a 501c Organization, • Paid Parental Leave The annual base salary range for this position is $105,000k-$130,000 USD. The actual salary will vary depending on the applicant's experience, skills, and abilities as well as internal equity and market data for their location. This position is also eligible for an additional annual bonus compensation through one of Pacvue's highly attractive incentive plans, full details will be provided during the recruitment process. #LI-remote Pacvue is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Job Description About Us: Pacvue is the leading software suite for eCommerce advertising, sales, and intelligence. We help some of the world's largest brands grow their business on Amazon, Walmart, Instacart, and other marketplaces and work with sellers and agencies of all sizes to help them compete in the constantly changing world of online retail. Our mission is to empower teams to win in the future of eCommerce, and we do it by building first-to-market technology, solving complex problems with our customers, and bringing expertise, collaboration, and innovation to our work every single day. Why work at Pacvue? • Be on the cutting edge - Pacvue is transforming the way brands and sellers win online. Our product uses machine learning, artificial intelligence, and data to make intelligent decisions and recommendations., • Have fun – we have an energetic and passionate team with a joint mission to win and help our brands and sellers succeed., • Learn – from the best! Our team is full of talented people who want to help you learn, grow – providing you with mentorship, the industry's best practices and thought leadership., • Grow fast – the eCommerce industry has grown fast in the past 2-3 years. Pacvue has grown even faster than most high-tech companies in the market. About the role: The Senior Security Engineer (AWS) is a senior individual contributor responsible for supporting and enhancing Pacvue's cloud and application security practices. This role works closely with Engineering, DevOps, and IT to implement security best practices, improve system resilience, and help ensure our environments are secure and compliant. This is a hands-on role for a security practitioner who brings strong technical expertise and enjoys collaborating with cross-functional teams to strengthen security across cloud infrastructure and applications. You will contribute to ongoing security initiatives, support program execution, and help drive continuous improvement. Responsibilities: Cloud Security (AWS) • Implement and maintain AWS security configurations across development, staging, and production environments, • Apply IAM best practices, including least-privilege access and role-based access controls, • Configure and monitor AWS-native security services such as CloudTrail, GuardDuty, Security Hub, AWS Config, and Macie, • Participate in cloud security reviews for new and existing services, • Support security best practices in infrastructure-as-code (Terraform, AWS CDK) and CI/CD pipelines, • Help maintain cloud security baselines aligned to CIS Benchmarks and AWS Well-Architected Framework Application Security • Contribute to secure Software Development Lifecycle (SDLC) practices, including shift-left security efforts, • Participate in threat modeling and security design reviews, • Operate SAST, DAST, and SCA tools integrated into CI/CD pipelines (e.g., Snyk, Checkmarx, Veracode, Semgrep), • Partner with engineering teams to remediate vulnerabilities and improve secure coding practices, • Support development and maintenance of secure coding guidelines Vulnerability Management • Assist in vulnerability identification, triage, and remediation tracking across infrastructure and applications, • Support internal and external penetration testing activities, • Help track and report on vulnerability metrics and remediation progress Cross-functional Collaboration • Support compliance efforts such as SOC 2 Type II and ISO 27001 audits, • Collaborate with team members to improve security processes and documentation, • Contribute to security runbooks and incident response procedures Skills & Qualifications: • 5–8+ years of experience in security engineering, cloud security, or a related field, • 3+ years of hands-on AWS security experience in a production environment, • Experience with AWS security services such as IAM, GuardDuty, Security Hub, AWS Config, and CloudTrail, • Familiarity with application security tools (SAST, DAST, SCA), • Experience with infrastructure-as-code tools such as Terraform or AWS CDK, • Understanding of vulnerability management practices, • Familiarity with security and compliance frameworks (SOC 2, ISO 27001, CIS Benchmarks), • Strong communication skills and ability to work effectively with cross-functional teams Benefits: • Flexible Paid Time Off, • Paid Holidays and Floating Holidays, • Medical, Dental, Vision, FSA/HSA, Life Insurance and Pet Insurance, • 401k with Employer Match, • Take up to 2 Days of Paid Time Off to Volunteer with a 501c Organization, • Paid Parental Leave The annual base salary range for this position is $150,000-$175,000 USD. The actual salary will vary depending on the applicant's experience, skills, and abilities as well as internal equity and market data for their location. This position is also eligible for an additional annual bonus compensation through one of Pacvue's highly attractive incentive plans, full details will be provided during the recruitment process. #LI-Remote Pacvue is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description Founded by The Allstate Corporation in 2016, Arity is a fully remote data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone. At the heart of that mission are the people that work here-the dreamers, doers, and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents toward transforming transportation. That's because at Arity, we believe work and life shouldn't be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don't just want you to see yourself here. We want you to be yourself here. Arity Analytics Data Platform Arity's Analytics Data Platform (ADP) team enables our analytics and data science teams to research, develop, deploy, and optimize analytics products that drive Arity's mission forward. The ADP team defines, provisions, and manages data pipelines, tools, platforms, and infrastructure to optimize analytics workflows and facilitate efficient collaboration with Arity's engineering teams to bring analytics products to production. We promote best practices for code and model management, reproducibility, scalability, and governance of the end-to-end analytics lifecycle. The team also plays a central role in the adoption and effective use of emerging AI-based development tools within the Arity Analytics community. The Role: You will lead a team of data and infrastructure engineers in the overall delivery of data solutions enabling advanced data science and analytics. This includes the development and management of cloud-based big data systems for ingesting, processing, and managing spatial-temporal and other types of data for analytics R&D; the implementation and operationalization of advanced data processing pipelines and AI solutions; identifying and integrating new data management and data analytics tools and ensuring best practices in their usage; and establishing and administering MLOps best practices in collaboration with Arity Engineering. The Senior Manager is responsible for the recruitment, selection, mentorship, and development of team members and for setting the strategic direction for the team in support of the business objectives of the company. This role is also accountable for building alignment with key stakeholders across Arity on the big data management strategy and execution. Key Responsibilities: Manageand develop the Analytics DataPlatformteam and drive technical excellence. Drive the analysis, design, and development of a roadmap and implementation plan to continuously modernize our analytics dataand model managementplatform and improve operational efficiencyin accordance withbusinessobjectives. Implement data security measures and ensure compliance with data governance policies and standards. Engineer secure app patterns into cloud platforms. Use your knowledge of cloud design patterns, cloud operations,and cloud cost models toidentifyand address performance bottlenecks, troubleshoot technical issues, and implement optimizations to enhance overall data& model managementplatform performance. Be a subject matter expert in cloud computing&model management/MLOpsto help data scientists and analysts work effectively in the cloud environment. Work collaboratively with cross-functional teams, including data scientists, analysts,engineers,and business stakeholders, to understand dataand ML systemrequirements and deliver effective solutions. Be a technology thought leader and a key influencer on technical decisions and organizationalstrategythat have long-term, strategic impact on the business. Functional Skills: Deep knowledge about public cloud architecture, cloud strategy, cloud operations, compliance, and related tools. Hands-on experience in designing and delivering big data management and applications on cloud platforms using modern software development processes, methodologies, and tools. Demonstrated experience in working with cloud-based ML frameworks, such asAWSSagemakerAI, Google Vertex AI, Microsoft Azure ML,or Databricks, and inMLOpsworkflows,patternsand deliveryobjectives. Proficient in system design or a programming language suchGoLang, Scala, Python Demonstrated experience in designing and supportingcloud-baseddatalakes/warehouses/lakehouses Excellent collaboration skills and ability to work on a remote team. Strong analytical, problem solving,and organizational skills. Experience: 10 or more years of experience (preferred) Supervisory Responsibilities: This job has supervisory duties. #LI-TE1 Skills Amazon S3, Amazon SageMaker, Amazon Web Services (AWS), Data Science, Google BigQuery, Google Cloud Platform (GCP), Machine Learning Operations, Vertex AI Compensation Compensation offered for this role is 151,700.00 - 221,675.00 annually and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation. Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact. Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click "_" for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click "_" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the "EEO Know Your Rights" poster click "_". This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs. To view the FMLA poster, click "_". This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Job DescriptionThis global hotel company is looking for a very skilled Machine Learning Engineer on the Systems/Back end/Infrastructure side. This ML Engineer will build software which uses machine learning on a typical back end application. They will build the following: high performance APIs, systems that read and convert data to inputs to ML models, and software systems used to train and evaluate ML. We need someone who has done some of the following: built ML pipelines, services, search systems, recommender systems, fraud detection.Project examplesSpecific projects the team is working on: feature store database used to store data being use by ML models (if you go to Amazon, they know who you are, they know our profile, our purchases, compare to people in similar geographic regions using an array of data by feeding your amazon login and retrieve data representing your profile). (Feature Store Rebuild)To make models useful, you have to train them through big amounts of data. There are dozens of these models and simplify the data to be used by the models.Search on the website, recommender systems. Create elements of search engines.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.Skills and Requirements5+ years as a Machine Learning Engineer on the ML Infrastructure/ML System side in AWS (back end engineer)SQL, experience using SQL platforms and writing SQL queriesAWS - Processing data using AWS S3 and Spark or Python PandasKnow the difference between page data and streaming data processingBuild high performing APIsBuild systems that read and convert data into inputs to ML modelsBuild software systems used to train and evaluate ML models all within AWSAbility to give examples around things they have built ML pipelines such as: services, search systems, recommender systems, fraud detectionMUST have a Master's Degree in one of the Sciences or PHD preferredSnowflakeExposure to Applied Science workMaster's in Applied ScienceTo learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.J-18808-Ljbffr

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25 / hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You

Responsive Answering Service provides contact center and answering services to businesses across the United States.We act as an extension of our clients’ operations—integrating seamlessly with their systems, workflows, and brand voice.Our distributed teams enable flexible, scalable coverage whil

ABC Legal Service is proud to be the national leader in service of process.We are a team of 1000 and growing with offices in Los Angeles, Oklahoma City, Phoenix, Brooklyn, Chicago, Washington DC, and more.Seattle is our home and headquarters.We’ve been successful in this unique business for over 3

We're hiring a Bilingual Customer Service Representative to join our Member and Provider Services team.Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members.We started Oscar in 2012 to create the kind of health insuran

The Customer Service Representative is responsible for the receipt of new cases and ensuring proper system drafting and setup.The CSR is also responsible for taking direction and facilitating the case assignment/scheduling process.Dane Street’s success relies on individual and team contributions e

Customer Service Representative.Remote (Must reside in NY, NJ, PA, CT, or MA).Field-Based | Full-Time | Global OEM | Travel Required.Temsa is a global leader in the design and manufacturing of motorcoaches and buses, with a fast-growing presence across North America.As an OEM committed to delivering

Call Center Agent - 100% Work from Home .It’s beyond rewarding to work for a company that truly believes in its employees, here at ANDX we not only believe in our employees, but we also provide honest communication and deep appreciation for our employees while providing opportunities to grow th

Develop a Personal improvement plan and take responsibility for learning and improving technical and sales skills regularly.

Must reside in the following states to be considered for a Seasonal Role:.AR, AZ, CO, CT, FL, GA, ID, IL, KS, LA, ME, MN, MO, MT, NC, NJ, NV, OK, OR, TN, TX, UT, VA, WA, WI .This is a remote seasonal role, starting in October through December 2025.Do you thrive in a fast-paced, lively atmosphere?

A utility player mentality who is enthusiastic about learning new skills and generating innovative solutions to solve work challenges and identify opportunities.

We are seeking a candidate preferably with experience supporting litigation, with experience in customer service, and Legal assistant experience.Preferably with a background working alongside defense counsel.Success in this role requires a genuinely personable professional who can engage comfortably

Identify opportunities to educate customers on additional relevant products that can enhance their learning or teaching experience within our music brands.

We are looking for a Senior Desktop Software Engineer, Machine Learning to work on an innovative project that redefines software. Understanding of machine learning pipelines and processes, with an interest in optimizing ML workflows on desktop systems. The chance to challenge yourself while learning

Artificial Intelligence (AI) / Machine Learning (ML). Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities.

Affordable Landscaping Services is a fast-growing landscaping and maintenance company serving residential and commercial clients across Georgia.We are expanding our remote support team and looking for a reliable, friendly, and organized Customer Service Representative to assist our clients and field

Are you a Dutch speaker looking to elevate your career while enjoying the flexibility of remote work?.Dutch Speaking Remote Customer Service Representative.In this role, you'll provide outstanding support to our Dutch-speaking clients from anywhere in the world.You’ll begin your journey with an.Th

VIPdesk Connect is a certified B-Corp, women-owned corporation, and Best Workplace winner committed to team member happiness.At VIPdesk Connect, we are passionate about delivering “more human” customer service.Our core values are central to how we do business.That’s why we have partnered with

The Abney Group, Inc who have been established and in business for over 10 years, is looking to add a.Part time or Full-time Georgia P&C Licensed Customer Service Representative.This is an exciting opportunity for anyone wanting to.We hope it's you! Apply today!.Must currently possess an active Ge

OneTouch Direct is not your typical Call Center.Founded in 1998, we have since grown into one of the most preeminent providers of contact center solutions in the nation.We work with Fortune 500 companies providing useful products and excellent service.We are a seamless extension of our clients while

Are you passionate about learning new things?.

Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Figma offers equity to employees, as well a competitive package of additional benefits, including

We are hiring a Machine Learning Engineer Intern for a paid 12-week summer internship from May through July 2026. Experience with machine learning experimentation, evaluation, and debugging preferred.

We look forward to learning more about you.

RevCycle is growing, and we’re excited to welcome new team members! With over 30 years in business, we focus on developing our employees and helping them reach their full potential.Work remotely or from our Marshfield, WI office, with.Delivers exceptional and consistent customer experiences by dem

The Remote Customer Service Representative is responsible for phone contact with patients to collect payment for medical billson behalf of our clients.This involves working in a fast-paced call center environment to establish contact with customers to negotiate payment and/or set up payment arrangem