About this opportunity: GoEngineer is a provider of the most compelling design platforms in the industry, deploying engineering software and 3D Printing technology to make the design process innovative, efficient, and intelligent. GoEngineer is looking for an AI Solutions and Adoption Manager to lead the identification, validation, and adoption of artificial intelligence solutions across our portfolio for our customers. The AI Solutions and Adoption Manager is the central authority on AI-enabled engineering solutions, partnering with customers, Account Executives, Solutions & Services, Sales, and Vendor Partners to move AI solutions from evaluation to successful, scalable adoption. You'll help ensure AI capabilities are practical, secure, and aligned with real-world engineering workflows—ultimately delivering measurable improvements in productivity, data quality, and product lifecycle performance. The ideal candidate will bring deep knowledge of engineering, CAD, PDM, and PLM workflows, strong technology expertise, and proven success connecting AI capabilities to customers' critical business challenges. You'll work across internal product, engineering, and sales teams, as well as external vendor partners, to assess where AI can strengthen our offerings, validate real-world use cases, and recommend strategic opportunities that move our portfolio forward. In this role, you'll build adoption roadmaps, create enablement materials, and help GoEngineer establish repeatable, scalable processes for delivering AI-enabled solutions. Your key contributions in this role will be: AI Solution Evaluation & Validation: - Research, evaluate, and validate AI solutions for engineering environments. - Connect AI capabilities to customers’ critical business challenges and validate real-world workflows to assess solution readiness. - Ensure vendor-proposed solutions meet customer requirements for usability, scalability, security, ROI, and long-term viability. AI Strategy & Market Awareness: - Maintain strong working knowledge of AI fundamentals (LLMs, generative AI, machine learning, automation) as applied to CAD, PDM, and PLM workflows. - Stay current on AI technology trends, product launches, vendor roadmaps, market adoption, competitor implementations, and emerging risks. - Participate in vendor AI training programs. Customer Adoption & Roadmapping: - Recommend appropriate AI solutions based on customer maturity, readiness, and business objectives. - Clearly communicate available tiers or levels of AI capability. - Build short-term and long-term AI adoption roadmaps aligned to customer workflows and strategic goals. Go-To-Market, Pre-Sales & Marketing Collaboration: - Support AI-related opportunities through customer meetings, demos, and technical discoveries. - Partner with marketing to create and maintain AI-focused content including web pages, roadmaps, FAQs, visuals, and comparison matrices that clearly explain available solutions. Cross-Functional & Vendor Collaboration: - Collaborate regularly with product managers responsible for CAD, PDM, PLM, and Digital Manufacturing platforms to ensure consistent AI strategy across the portfolio. - Work closely with engineering, services, sales, and vendor partners to ensure AI solutions are feasible, supportable, and scalable. Internal Enablement & Education: - Educate internal teams on AI solutions and their practical applications. - Deliver training, documentation, and best practices to enable confident positioning, scoping, and delivery of AI-enabled solutions. Governance & Responsible AI: - Ensure AI solutions align with data governance, IP protection, and access control standards. - Identify and mitigate risks related to data quality, accuracy, security, and unintended automation. We are looking for candidates with the below experience and skills, however, even if you do not meet all the listed requirements, very interested candidates should still apply: Required - 3+ years of experience in CAD, PDM, PLM, or engineering software - Understanding of engineering workflows including data translation, data management, simulation analysis, and more - Experience in pre-sales and/or implementing software solutions in customer environments. - Working knowledge of AI technologies such as LLM, Generative AI, Machine Learning, and automation as applied to structured engineering data. - Strong communication skills with engineers, IT teams, executives, and customers. Preferred - Experience working in a CAD / PLM / PDM reseller - Familiarity with engineering software ecosystems such as CAD, PDM vaults, and PLM platforms. - Experience delivering pilots, proofs-of-concept, or customer rollouts of advanced technologies. - Background in manufacturing, regulated industries, or complex product development organizations. Plus - Multi-lingual (English, French) - Knowledge of Dassault Systèmes portfolio a plus Success Measures · Successful customer adoption of AI-enabled CAD, PDM, and PLM solutions · Conversion of AI pilots into production deployments · Improved customer outcomes such as reduced cycle time, increased data reuse, and improved data quality · Strong alignment between AI offerings and engineering standards · Positive feedback from customers, sales, and engineering leadership Working Location: This role can be located in any of the GoEngineer offices in North America, or work remotely from the US or Canada. We are unable to provide employment sponsorship at this time. Competitive Compensation Includes: The annual base salary for this position is $85,000-$115,000 with a wide range to accommodate different levels of experience. More about what GoEngineer offers: At GoEngineer, we understand that our value comes from our employees, and we celebrate and respect their unique experiences. We are working to build a culture where both our employees and customers are centered in the work we do, and employees feel welcomed as they are from the first day. Generous Benefits Include: • Participation in GoEngineer’s unlimited PTO program from day one of employment. • 401(k) retirement plan with up to a 6% company match, 100% vested on day one. • Comprehensive medical coverage, including PPO and High Deductible plans with FSA/HSA options and employer HSA contributions. • Paid Family Leave, including paid pregnancy disability leave and paid parental bonding leave. • Employer paid Life Insurance policy, & Short Term, and Long Term Disability insurance, with optional supplemental coverage. • Dental and Vision insurance • Mental health, telemedicine with 24/7 access to medical providers, and wellness programs, including virtual therapy, nutrition counseling, and physical therapy. • Fertility, adoption, and family building benefits. • Employee Assistance Program (EAP) offering free, confidential counseling and support for mental health, legal, financial, and family needs. • Optional voluntary benefits, including accident insurance, hospital indemnity, critical illness coverage, identity theft protection, pet insurance, plus student loan repayment and prescription cost savings programs. To support a fair and efficient hiring process, we may use AI technology to summarize interviews and help our teams review information consistently. AI does not evaluate candidates or make hiring decisions. All decisions are made by our human hiring team.

Role Description We're looking for an AI Automations Engineer who can take ideas from concept to production and ship real automated workflows and features that users rely on. This role sits inside a cloud-based SaaS platform that has been processing over $4 billion in utility billing transactions annually for more than two decades, serving utility operators, municipalities, and energy companies across three continents. The platform is expanding and modernizing, and this role is at the center of that work. You will work across the stack with a strong emphasis on backend systems, collaborating closely with product and operations to turn ambiguous requirements into shipped functionality. Experience using Claude Code as part of your development workflow is required. This is not a narrow frontend or support role. You will build, iterate, and improve core product systems in a fast-moving environment where what you ship goes directly into the hands of real operators running real infrastructure. Qualifications - Computer Science degree or equivalent technical background - 4+ years of experience building full-stack products in a production environment - Strong experience as a backend engineer with comfort working across the full stack - Hands-on experience using Claude Code in a professional development workflow - Ability to handle light design tasks and make sensible UX decisions - Strong understanding of system design, APIs, and data modeling - Self-directed, pragmatic, and comfortable working with ambiguity in a fast-moving team Requirements - Build and maintain full-stack product features from initial idea through production - Design and implement backend systems, APIs, and data models that power billing, payments, field service, and operational workflows - Collaborate on frontend implementation and contribute to UI decisions when needed - Ensure performance, reliability, and scalability of core platform systems handling millions of transactions - Use Claude Code as a core part of your development workflow - Leverage AI tools to accelerate development, refactor code, and explore solutions - Experiment with AI-driven features, automation workflows, or internal tooling where appropriate - Help the team move faster and build smarter by integrating AI into everyday engineering work - Own backend architecture and implementation for key product areas - Work with databases, authentication, third-party integrations, and background processing systems - Write clean, maintainable, well-tested code built to handle high transaction volumes - Debug and resolve complex system issues efficiently across a mature, multi-module platform - Translate product goals and user needs into technical solutions that work in real operational environments - Collaborate with stakeholders to clarify requirements and tradeoffs - Contribute to product discussions with a builder's mindset - Improve engineering processes, tooling, and internal documentation Benefits - You will be paid in USD (bi-monthly: every 15th and 30th) - Up to 14 days of Paid Time Off annually (starting Day 1) - Observance of Holidays per company guidelines - 100% remote setup so you can work wherever you're most productive - High ownership role with real influence over product direction - Opportunity to build AI-enabled features into a platform that has been live and scaling for over 20 years - Work alongside a small, senior team that values speed and quality How to Apply Please include: - Your updated resume - A short Loom video (1 to 2 minutes) introducing yourself and describing products you have built end to end and how you use Claude Code in your development workflow - A portfolio link or links to relevant projects, repositories, or shipped products Only candidates who submit a Loom video will be moved to the next step of the hiring process. If you are an engineer who enjoys building intelligent automations into production systems, thinking deeply about workflows, and using AI as a force multiplier rather than a novelty, this role gives you the autonomy and the responsibility to build things that matter at real scale. Application Process Overview Our comprehensive selection process ensures we find the right fit for both you and our clients: - Initial Application - Submit your application and complete our prequalifying questions - Video Introduction - Record a video introduction to showcase your communication skills and work experience - Role-Specific Assessment - Complete a homework assignment tailored to the position (if applicable) - Recruitment Interview - Initial screening with our talent team - Executive Interview - Meet with senior leadership to discuss role alignment - Client Interview - Final interview with the client team you'd be supporting - Background & Reference Check - Professional reference verification - Job Offer - Successful candidates receive a formal offer to join the team Each stage is designed to evaluate your fit for the role while giving you insights into our company culture and expectations. We'll keep you informed throughout the process and provide feedback at each step.

Job Title: Generative AI Specialist - Humanities (English and Japanese) Location: Fully Remote within the U.S. (excluding California, Washington, Alaska, Colorado, Montana, New York, Puerto Rico, Nevada, Nebraska) Employment Type: Part-Time; up to 28 hours per week Who we are: Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 7,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. About the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Be Doing: Core tasks would include (any/multiple of) but not limited to the following: - Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. - Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole. - Classification: Assigning predefined categories or labels to items. - Content Quality: Evaluating the perceived quality and/or appropriateness of content - Content Understanding: Generating labels to advance understanding of a concept, trend etc. - Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. - Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. - Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. - Preference Ranking: Ordering or ranking items based on a set of preferences or criteria. - Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system. - Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). - Response Generation: Generating responses to prompts or questions using a language model or other AI system. - Response Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. - Response Summarization: Producing concise summaries of longer pieces of text or data. - Similarity Evaluation: Projects where content is compared in order to drive a determination. - Transcription: Converting spoken language or audio content into written text. - Translation: Converting text or spoken language from one language to another. - Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. Minimum Qualifications: - A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) - Professional or Expert level proficiency (C1/C2) in English and Japanese Salary rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location. Innodata is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status. Innodata is committed to creating an inclusive environment for all employees and applicants. If you need assistance or accommodation during the application or recruitment process due to a disability, please contact us and we will be happy to assist. Applicants must be legally authorized to work in the United States at the time of hire. Innodata is unable to provide visa sponsorship now or in the future for this position. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.

#WeAreParamount on a mission to unleash the power of content… you in? We’ve got the brands, we’ve got the stars, and we’ve got the power to achieve our mission to entertain the planet – now all we’re missing is…YOU! Becoming a part of Paramount means joining a team that values authenticity and embraces inclusion for all. We are searching for individuals who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees. You fuel our culture of purpose, passion, and collaboration. We’re in this together. Job Posting Title: Principal Software Engineer, CBS Sports Digital Department: CBS Sports.com Technology Location: Nashville, Tennessee; Louisville, Kentucky; Fort Lauderdale, Florida; Remote Principal Software Engineer, Solutions Team - CBSSports Join CBSSports and shape the future of sports media through cutting-edge AI-powered content and deeply personalized fan experiences across mobile, web, and digital platforms. We are seeking a Principal Software Engineer to be a core member of our Solutions Architecture team. In this role, you will be crucial in partnering with product, design, and engineering leadership to design, prototype, and deliver groundbreaking AI solutions at scale. What You Will Do ● Lead AI Architecture: Architect and implement advanced Generative AI and Retrieval-Augmented Generation (RAG) systems to power intelligent recommendations and dynamic user personalization. ● Drive Development: Lead the rapid prototyping and full-cycle development of production-grade features for mobile and web applications. ● Define Standards: Establish, promote, and drive adoption of scalable platform standards, engineering patterns, and reusable components across the organization. ● Collaborate and Prototype: Work closely within a small engineering group, partnering with design and product teams to rapidly design, develop, and prototype solutions to key business challenges. ● Ensure Quality: Define guardrails to ensure fast, secure, and compliant adoption and deployment of "vibe coded" applications. Write robust requirements and production-quality code. ● Advocate for AI: Utilize AI development tools to optimize your workflow and champion the use of AI-driven development practices across the team. ● Operational Excellence: Design for scalability and reliability, incorporating appropriate testing, monitoring, and alerting. ● Mentor and Document: Build clear documentation and diagrams to facilitate easy onboarding for other engineers and support teams. Review code to ensure adherence to best practices (style, testability, efficiency). ● Front-End Performance & Observability: Own front-end performance (Core Web Vitals, bundle size, caching) and observability (RUM, error tracking) for web and mobile applications. ● Monorepo Tooling: Establish and evolve monorepo tooling and workflows (e.g., Turborepo, Nx) to support build, test, and deploy across web and mobile applications. ● Type Safety & Standards: Promote and evolve TypeScript and typing standards (e.g., strict mode, shared types, codegen) so that codebases stay maintainable, type-safe end to end, and refactor-safe. Required Qualifications ● Expertise in AI: Proven, production-level expertise in Generative AI and RAG architectures. ● Platform Experience: Strong track record of building scalable platform products and establishing cross-team engineering standards. ● Stakeholder Management: Ability to collaborate with and influence senior stakeholders in a dynamic, fast-paced environment. ● Browser & Performance: Solid understanding of browser behavior, rendering, and front-end performance (e.g., Core Web Vitals, lazy loading, code splitting). ● Monorepo Experience: Experience with monorepo tooling and workflows (e.g., Turborepo, Nx), including shared packages, task pipelines, and cross-project dependencies. ● Education & Experience: BS in Computer Science or equivalent experience. ○ 10+ years of experience building scalable, production-grade web applications using modern JavaScript frameworks (React, Next.js) and Node.js. ○ Strong expertise in JavaScript and TypeScript, including asynchronous programming, generics, strict typing, and advanced ES6+ features. ○ Deep knowledge of HTML and CSS, including responsive layout, cross-browser compatibility, accessibility, and performance optimization. ○ Experience consuming and designing APIs (REST and GraphQL), including Apollo Client and microservices-based architectures. ○ Proven experience modeling complex data flows for transactional and integration workflows. ○ Experience working with cloud platforms (AWS, GCP, or OCI) and containerized environments (Docker, Kubernetes). ○ Familiarity with distributed systems concepts including caching (Redis, Memcached) and messaging systems (Kafka, RabbitMQ). ○ Experience designing and developing highly scalable, high-performance applications. ○ Strong debugging and performance troubleshooting skills, including use of monitoring/observability tools (e.g., OpenTelemetry, New Relic). ○ ● Soft Skills: Able to analyze, debug, and troubleshoot complex code problems. Passion for sports and a dedication to creating exceptional fan experiences. ● Technology Evaluation & Communication: Experience evaluating multiple technologies or approaches, making recommendations with pros and cons, and presenting tradeoffs and options to broader engineering or cross-functional teams. Preferred Qualifications ● AI/ML Experience: ○ 1+ years experience working with LLMs and/or MCP servers/technologies. ○ 1+ years experience with AI technologies and processes like vector embeddings. ○ 1+ years experience with one or more vector databases (e.g., TurboPuffer, Mongo Atlas). ● Cloud Focus: 5+ years experience working with Cloud technologies (AWS is strongly preferred). ● Frontend Skills: React/Next.js experience with fundamental HTML/CSS (layout, specificity, cross-browser compatibility). ● Collaboration: Proven experience in cross-team collaboration for requirements, implementation, and testing. ● Certifications: Cloud certifications (GCP, AWS, OCI). ● AI Tooling & Standards: Experience with AI development tools (Cursor, Copilot, etc.) and with setting up guardrails—rules, commands, sub-agents—to keep AI-generated code clean, consistent, and production-ready. ● Theming & Styling: Experience with multiple styling approaches (Stylex, CSS Modules, SASS, CSS-in-JS) and design tokens in component libraries or design system CBS Sports, a year-round leader in cross-platform sports coverage, broadcasts a portfolio of events on the CBS Television Network, including THE NFL ON CBS; college football, including the Big Ten ON CBS; college basketball, including the NCAA Division I Men's Basketball Championship; golf, including The Masters®, PGA Championship and PGA TOUR; soccer, including the UEFA Champions League and NWSL; and CBS SPORTS SPECTACULAR. In addition, the division includes CBS SPORTS NETWORK, the 24-hour cable home of CBS Sports which televises live sports programming throughout the year, including college football and basketball games, UEFA Champions League and Europa League action, Italy's Serie A matches, Concacaf national team competitions, as well as a full slate of original programming and studio coverage. CBS Sports also delivers an extensive lineup of global soccer coverage on Paramount+, including every UEFA club competition match, all Serie A matches as well as Concacaf national team competitions, and produces INSIDE THE NFL for Paramount+. CBS Sports Digital's multi-platform offerings include CBSSports.com and the CBS Sports apps for mobile and connected TV devices; the 24/7 streaming sports news network CBS Sports HQ; 247Sports; MaxPreps; CBS Sports fantasy games; and SportsLine. What We Offer: - Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits - Generous paid time off. - An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams. - Opportunities for both on-site and virtual engagement events. - Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. - Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount Paramount is an equal opportunity employer (EOE) including disability/vet. At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.