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Job DescriptionWalkMe, an SAP company, pioneered the Digital Adoption Platform (DAP) to enable business leaders to fully harness technology in today's complex digital landscape. By leveraging WalkMe's features—guidance, engagement, insights, and automation—employees boost efficiency, executives gain greater visibility into digital usage, and organizations maximize their digital assets, driving successful digital transformation. Together, SAP and WalkMe form a powerful partnership that revolutionizes the digital transformation journey. This collaboration allows businesses to unlock the full potential of SAP's robust ERP solutions while seamlessly enhancing user experience and productivity with WalkMe's intuitive digital adoption platform. We are seeking a Customer Success Engineering (CSE) Manager to lead, grow, and enable a high-performing CSE organization. This leader will oversee delivery execution, customer outcomes, capacity planning, and operational excellence — while driving adoption, value realization, retention, and strategic impact across enterprise accounts. The CSE Manager will set the bar for solution advising excellence, evolving a proactive methodology where engineers leverage insights, anticipate risks, reduce escalations, and accelerate customer success. This role blends people leadership, delivery oversight, enablement strategy, and cross-functional partnership.What You'll OwnTeam & People Leadership • Manage, mentor, and develop a team of CSEs — improving technical depth, advising skills, and business understanding., • Build a culture of proactivity, ownership, continuous improvement, outcome focus, and customer value creation., • Ensure CSEs demonstrate core IC competencies: solution advising, implementation, enablement, reporting/AI insight usage, and proactive risk identification., • Run structured coaching, 1:1s, shadow programs, learning paths, and development planning., • Lead hiring, capability leveling, career pathing, and talent calibration., • Drive the hiring and development of a new CSE team in 2026 — building foundational capabilities, onboarding structure, and the operating rhythm for a growing organization.Delivery & Execution Management, • Oversee customer engagements focused on configuration, implementation, enablement, optimization, and ongoing impact delivery., • Maintain visibility into assignment timelines, capacity, blockers, and outcomes., • Ensure best practices in solution design, build, rollout, testing, and production readiness., • Validate that CSEs understand customer business cases and translate them into high-impact WalkMe solutions., • Engage directly with customers — particularly for critical, strategic, or high-risk engagements — to ensure the right plan, approach, and solution has been delivered., • Guide CSEs in delivering workshops, training sessions, office hours, and ongoing learning programs that accelerate adoption and maturity.Customer Value, Adoption & Retention, • Drive CSAT, feature utilization, time-to-value, expansion influence, and renewal outcomes., • Ensure the team monitors usage signals, reports, workflows, and AI insights to identify risks early., • Support escalations for complex or strategic accounts while coaching IC ownership and self-resolution., • Promote a value-focused advising approach rather than task-focused execution.Operational Excellence & Methodology Ownership, • Build and scale playbooks, documentation, frameworks, and delivery patterns for repeatable success., • Reinforce proactive work methodology — structured communication, early risk flagging, mitigation planning., • Optimize tooling, reporting, assignment intake, forecasting, and utilization workflows., • Collaborate with CSM, TAs, Sales, Support, and Product to strengthen cross-functional alignment and execution., • Translate field learnings into product feedback, feature requests, and usability improvement recommendations.Enablement & Scaling Content, • Create and expand knowledge assets: guides, workflows, documentation, best-practice standards., • Support customer and internal enablement programs such as training, workshops, and learning series., • Define skill frameworks, expectations, and development tracks for CSE professional growth.What You Need to SucceedQualifications, • 5+ years in customer-facing technical roles (CSE, Solutions Engineer, Technical Advisor, PS/Enablement roles, etc.), • 2+ years of people management or leadership experience preferred., • Strong technical understanding of SaaS/web technologies (HTML/CSS/JS), integrations, and data workflows., • Ability to understand business needs and translate them into effective WalkMe solutions., • Skilled in report interpretation and AI insight usage to drive decisions and actions., • Excellent communication and stakeholder management across business and technical teams., • Strong organizational skills with ability to manage multiple workstreams and priorities., • Passion for coaching talent, improving operational maturity, and driving measurable outcomes.Nice to Have, • Experience with WalkMe or digital adoption platforms., • Familiarity with SAP, enterprise integration patterns, IDP/SSO configuration, extensions/snippet deployment., • Background in customer enablement, advisory programs, or technical training., • Experience scaling self-serve maturity and knowledge resources.Success in the role, • CSE team delivers consistently and with high quality across strategic work., • Customer adoption grows through proactive insights, advising maturity, and business alignment., • Escalations decrease as risks are identified and mitigated early., • Playbooks, documentation, and repeatable delivery assets reduce variability and accelerate execution., • CSEs operate with proactive rhythm — leveraging data/AI signals to drive outcomes rather than respond to issues.

Job DescriptionAt ANS, we’re not just a consulting engineering firm—we’re a team of trailblazers shaping the future of multi-disciplinary engineering. Recognized as one of the Best Places to Work and Top 10 Hottest Engineering Firms in the US by Zweig Reports, and featured in Inc. 5000’s Top 250 for our staggering 1,748% growth, we’re proud of what we’ve built and where we're headed. We’re allergic to bureaucracy, thrive on innovation, and embrace data-driven decisions. If you love collaboration, creativity, and a fast-paced environment, we might just be your perfect match! Our team includes professionals licensed in over 20 states, with more than 70 years of collective experience. We pride ourselves on fostering a collaborative and supportive work environment that encourages growth and professional development. At ANS, you’ll enjoy paid vacation, sick, and personal time off; support for continuing education and community involvement; and comprehensive healthcare, vision, and dental benefits for eligible employees. We are transitioning our HV engineering group to SBS Substation Design Suite (SDS) as our primary production platform, and we are looking for the person who will own that transition end-to-end. This is not a drafting role and it is not a pure IT role, it sits at the intersection of substation engineering, design standards, and production automation. The right candidate will be a substation designer or engineer with deep AutoCAD and SDS experience who can work alongside our discipline leads, delivery team, and technology group to build a scalable and high-quality design production system.Key Responsibilities: * SDS Program Ownership: Own the SDS/SBS AutoCAD rollout roadmap, content backlog, and release cadence. Manage the transition from standard AutoCAD to SDS as the default workflow for standard substation projects. * Content Governance: Coordinate with Engineering Leads to maintain block libraries, naming conventions, attribute rules, sheet setup standards, and template release controls. Ensure every block, symbol, and template has an owner, revision date, approval status, and intended project type. * Training and Adoption: Develop and manage a role-based training program covering new users, checkers, project engineers, content owners, and production contributors. Track adoption metrics and report on progress against rollout milestones. * Technology and AI Integration: Coordinate with the ANS technology team on AutoCAD LISPs, automation scripts, and AI integrations. Ensure SDS outputs are structured to support automated checking workflows. * Cross-Department Collaboration: Work closely with Engineering Leads, and the technology and automation team to ensure SDS is integrated properly into design workflow. Qualifications and Skills: * Hands-on experience with SBS Substation Design Suite (SDS) or SBS AutoCAD in a substation engineering production environment. Candidates with deep AutoCAD substation experience and demonstrated ability to learn SDS will be considered. * Strong understanding of substation design P&C, Physical, or both. Ability to communicate credibly with engineers and reviewers on content standards and design intent. * Experience managing or contributing to AutoCAD block libraries, template standards, naming conventions, or similar design content governance programs. * Ability to develop and deliver training content to engineers, designers, and checkers with varying levels of SDS experience, including remote teams. * Familiarity with AutoCAD LISP, scripting, or automation tooling is a strong plus. Experience working alongside a technology or software development team is valued. * Strong organizational and program management skills. Comfortable managing a backlog, setting release cadence, and communicating progress against milestones to multiple stakeholders. * Ability to work as a team player across disciplines. This role requires strong cross-functional communication and the ability to build trust with both engineering and technology teams. * Self-starter with strong internal drive and integrity. Comfortable operating in a growing organization where processes are still being built and ownership requires initiative. Position Requirements: * Associate's or Bachelor's degree in electrical engineering, engineering technology, drafting, or a related field preferred. Equivalent professional experience in substation design with strong SDS/AutoCAD depth will be considered in lieu of a degree. * 5+ years of experience in substation design or a closely related field, with demonstrated ownership of production tools, templates, or standards. * Not required but Bonus Points for: Being fluent in Spanish Benefits: • 401(k) + company match, • Health, dental, and vision insurance, • Life insurance, • Unlimited PTO, • Professional development assistance, • Bonus opportunities

Job Description Who we are: Polyzen is a leading developer and manufacturer of customized polymer-based materials, films, components, and assemblies for the medical device industry. Our range of materials and processing technologies allow us to provide optimum solutions for innovation-driven companies, ranging from entrepreneurial start-ups to major medical device manufacturers. From prototype development through full-scale production, we take pride in our quality, technical expertise, and customer service, and we strive to provide the best value throughout the product life cycle. 1st shift Monday-Friday 8:00 am-5:00 pm About the role: The Extrusion Development Engineer is responsible for driving extrusion development projects through the product life cycle by aiding in the development, validation, and commercialization of extruded films on machines such as Flat Die Extruders, Layflat Extrusion, and Laminators. This role will engage with key internal operational stakeholders and grow their business acumen by working with our business development teams, vendors, and clients. This role is a key contributor to the Solesis organization in achieving company metrics: on-time delivery, revenue, quality, and safety. What you will do: • Leads multiple projects for extrusion development in various stages of the product lifecycle in line with agreed commitments to respective clients., • Designs manufacturing processes that are scalable to a production environment based on customer design and volume requirements., • Specifies tooling, fixtures, and equipment for the extrusion development process at the required scale and manufacturing throughput., • Develops and qualifies appropriate test and inspection methods for key product attributes., • Troubleshoot and complete general maintenance of extrusion equipment., • Ability to assemble and disassemble extruders for cleaning and/or job changes that require different tooling with a new setup., • Follow all Good Manufacturing Practices (GMP) and Good Documentation Practices (GDP) when completing daily tasks., • Partner cross-functionally with Quality and Engineering Leadership to drive development through the stage gate process., • Partner with Quality to ensure manufacturing teams are maintaining product adherence that complies with ISO 13485 and 9001 regulations, Good Manufacturing Practices (GMP), Good Documentation Practices (GDP), and all safety requirements., • Support the Quality team with any CAPA-related activity to complete root cause analysis and improve overall quality and performance of the products being manufactured for customers., • Comply with and follow all Standard Operating Procedures (SOPs) and ensure all quality documentation is completed correctly., • Bachelor’s degree in business, operations management, engineering, or a similar related field preferred., • Minimum of five (5) to seven (7) years of experience in extrusion, blow molding, or injection molding operations., • Knowledge of machine operations that pertain to various polymers and extrusion., • Possess knowledge of ISO 13485, 9001, and GMP practices or possess the ability to understand and enforce the practices., • Ability to follow and make recommendations and changes to Work Instructions (WIs) and Standard Operating Procedures (SOPs)., • Experience with manufacturing process development, qualifications, and capability assessment., • Ability to understand the client’s needs, how the needs relate to the scope of the project, and how changes will affect other systems., • Ability to translate client inputs into engineering requirements based on technical skill set., • Ability to explain technical concepts to internal and external project stakeholders, including process capabilities, limitations, and areas for improvement., • Ability to prioritize and delegate tasks as appropriate to meet project objectives., • Ability to mentor junior-level engineers., • Excellent interpersonal skills with proven ability to get along well with others and work in a team environment., • Generous Paid Time Off, • Paid Breaks, • Annual Bonuses, • 401k with excellent company match, • Health Insurance with multiple plans to choose form, • Paid Short Term and Long Term Disability

Job Description Position Summary This role is responsible for serving as a core member the Vision Software Development team in both an R&D & Commercial capacity. The Senior Vision Software Engineer will actively communicate with project stakeholders and the Director of Vision to monitor/ improve production code deployments and collaborate with the broader team to develop new tools that leverage our existing codebase and technology to create innovative products. They will serve as a key resource, driving R&D as a senior developer that both contributes to project work and can mentor junior developers within the Vision Software Discipline. Key Job Responsibilities • Develop and implement machine learning derived software to solve business problems., • Integrate commercial data with existing tooling to develop innovative solutions to company assigned project goals., • Collaborate with cross-functional teams to build proprietary tools., • Drive the development of new products by leveraging commercial data to meet market needs and company objectives., • Ensure the quality and accuracy of data and analyses through rigorous testing and validation processes., • Stay current with the latest advancements in machine learning, vision software and related fields to continuously improve methodologies and approaches., • Mentor junior software developers and provide guidance on best practices and advanced analytical techniques., • Experience in a commercial or industrial setting, particularly biotechnology., • Experience working with biological data., • Experience with computer vision., • Knowledge of regulatory requirements and data privacy considerations in handling biological and commercial data., • Ability to work in a fast-paced environment and adapt to changing priorities., • Solid understanding of machine learning tools and how to implement them in a software product., • Excellent problem-solving skills and ability to think critically and creatively., • Excellent communication skills, both written and verbal., • Bachelor’s degree in computer science, Data Science or a related field., • 8 - 10 years of experience working in software development, or related field., • Proficiency in Python and C# for software development., • Proficiency in SQL and experience with database management systems (e.g., MongoDB, PostgreSQL, MSSQL Server)., • Experience working with cloud platforms such as Azure for container deployment/ orchestration and software versioning. Working Conditions: Work is performed inside a flex space building consisting of offices, open desk space, laboratory, machine shop, and a manufacturing floor. Level of noise is usually quiet in the office environment and temperature controlled. Noise levels are elevated in the warehouse space where temperatures can vary depending on the outside elements and weather. Travel may be required, including up to 2-8 trips per year to visit suppliers, attend conferences, meetings (customer, investor, and business) and customer sites (hatcheries). All the above duties and responsibilities are essential job functions for which reasonable accommodation will be made. All job requirements listed indicate the minimum level of knowledge, skills, and/or ability deemed necessary to perform the job proficiently. This job description is not to be construed as an exhaustive statement of duties and responsibilities or requirements. Employees may be required to perform other job-related duties as requested by their supervisor. This document does not create an employment contract, implied or otherwise, other than an "at will" relationship.

Job Description Who We Are: Bandwidth, a prior "Best of EC" award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders! At Bandwidth, your music matters when you are part of the BAND. We celebrate differences and encourage BANDmates to be their authentic selves. #jointheband What We Are Looking For: Bandwidth's Research & Development (R&D) team is at the forefront of exploring and harnessing transformative technologies to define the next generation of communication experiences. We operate as a small, agile, and T-shaped group, diving deep into emerging areas like Artificial Intelligence and Machine Learning. We're seeking a highly motivated AI/ML Engineer to join this dynamic team in our Raleigh, NC headquarters. You thrive in a collaborative, fast-paced environment where you can rapidly iterate on ideas and prototypes. You have a startup mentality, comfortable with ambiguity and driven by a relentless curiosity to explore, build, and learn. If you're passionate about applying cutting-edge AI/ML, especially Large Language Models (LLMs), to solve real-world problems and shape future products, this is the role for you. This position requires working full-time from our Raleigh office. What You'll Do: • Dive deep into the latest AI/ML research, particularly in the LLM space, identifying opportunities relevant to Bandwidth's domain., • Design, build, and test proof-of-concepts and prototypes for novel AI-powered features and services., • Implement and integrate AI/ML models, including those based on LLMs, into potential future Bandwidth offerings., • Collaborate intensely within a small, cross-functional R&D team, sharing knowledge and contributing to a T-shaped skill set., • Experiment with various AI techniques, including advanced prompting strategies, Retrieval-Augmented Generation (RAG), and potentially agentic systems., • Stay constantly updated on the rapidly evolving AI landscape, evaluating new tools, models, and methodologies., • Leverage LLM-powered IDEs and development tools (like GitHub Copilot, Cursor, etc.) to accelerate the innovation cycle., • Bachelor's degree in Computer Science, AI, ML, or a related technical field, or equivalent practical experience., • Demonstrable expertise and hands-on experience in Artificial Intelligence and Machine Learning, with deep knowledge in at least one specific AI domain (e.g., NLP, LLMs, Speech Recognition)., • Proven experience (typically 3+ years) designing, building, and evaluating AI/ML models and systems., • Strong programming skills, particularly in Python and familiarity with common ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face)., • Solid understanding and practical experience with Large Language Models (LLMs) and associated concepts, including Retrieval-Augmented Generation (RAG) and various prompting techniques (e.g., Zero-shot, Few-shot, Chain of Thought)., • Experience implementing services or applications built on top of foundational LLMs (via APIs or open-source models)., • Proven ability to thrive in a small, highly collaborative team environment with an urgent, results-oriented culture. Significant experience in startups or similar fast-moving, resource-constrained organizations is highly desirable., • A relentless curiosity and passion for exploring new technologies and techniques in the AI/ML space., • Experience using LLM-powered IDEs or coding assistants., • Excellent problem-solving skills and the ability to navigate ambiguity., • Master's degree or PhD in Computer Science, AI, ML, or a related field., • Experience with LLM training, fine-tuning (e.g., LoRa), and/or developing custom evaluation benchmarks., • Familiarity with advanced AI architectures and concepts such as agentic systems (e.g., ReAct), multi-modal models, Mixture of Experts (MoE), or LLM tooling/external capabilities., • Experience with MLOps practices and cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform)., • Familiarity with AI Developer and Agentic Frameworks (e.g., OpenAI, LangChain, CrewAI, Autogen) At Bandwidth, we're pretty proud of our corporate culture, which is rooted in our "Whole Person Promise." We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well… • 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses., • All new hires receive four weeks of PTO., • PTO Embargo. When you take time off (of any kind!) you're embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email., • Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges., • "Mahalo moments" program grants additional time off for life's most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild., • 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist. Are you excited about the position and its responsibilities, but not sure if you're 100% qualified? Do you feel you can work to help us crush the mission? If you answered 'yes' to both of these questions, we encourage you to apply! You won't want to miss the opportunity to be a part of the BAND. Applicant Privacy Notice

Job Description Wavelo is a SaaS business on a mission to make telecoms a breeze. We provide flexible software that modernizes how communication service providers (CSPs) do business, helping them drive more value, focus on customer experience, and scale their operations faster. As part of Tucows (NASDAQ:TCX, TSX:TC)—one of the world's largest Internet services companies—Wavelo is backed by outstanding resources and talent. We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It's also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet! The work we do genuinely changes lives. If this sounds exciting, we'd love to hear from you! About the Opportunity We are looking for a highly skilled Senior Database Reliability Engineer (DBRE) with deep expertise in PostgreSQL at scale. In this role, you will design, operationalize, and optimize the data persistence layer that powers large-scale, mission-critical systems. You'll work closely with SRE, Platform, and Engineering teams to ensure performance, reliability, automation, and operational excellence across the database environment. This is a hands-on engineering role focused on building resilient data infrastructure—well beyond traditional database administration. This role is a remote position open to applicants based in Canada and USA. What You'll DoArchitecture, Reliability & Performance • Design, implement, and operate highly available PostgreSQL clusters (physical/logical replication, sharding, partitioning, failover automation), • Optimize query performance and indexing strategies, • Perform capacity planning, growth forecasting, and workload modeling, • Own high-availability strategies, including:, • Automatic failover, • Multi-region deployments, • Disaster recoveryAutomation & Tooling, • Build and maintain automation for:, • Provisioning and configuration, • Backups and recovery, • Failovers, • Vacuum tuning, • Schema management, • Use tools such as Terraform, Ansible/SaltStack, Bash, Python, etc., • Develop monitoring and alerting systems for PostgreSQL clustersOperations & Incident Response, • Lead response during database incidents (e.g., performance regressions, replication lag, deadlocks, bloat, storage failures), • Conduct root-cause analysis and implement long-term fixesCross-Functional Collaboration, • Partner with software engineers to:, • Review SQL queries, • Optimize schemas, • Ensure effective use of PostgreSQL features, • Provide guidance on:, • Database design patterns, • Migrations and version upgrades, • Best practicesKnowledge, Skills & Abilities, • Deep understanding of PostgreSQL internals:, • MVCC, WAL processing, vacuum behavior, locking, query planning, • Experience designing and operating highly available database clusters with automated failover, • Strong performance tuning skills (query optimization, indexing, workload tuning), • Ability to diagnose database and system issues:, • Query plans, I/O, memory usage, WAL growth, table/index bloat, • Experience with backup and recovery strategies:, • Point-in-time recovery (PITR), durability planning, • Familiarity with observability and monitoring:, • Metrics, alerting, and performance dashboards (Grafana), • Understanding of distributed systems concepts:, • Service discovery, consensus (e.g., Consul), • Strong Linux systems knowledge (performance tuning, resource management), • Experience with scripting and infrastructure-as-code automation, • Strong troubleshooting and problem-solving skills in production environments, • Knowledge of:, • Security, compliance, encryption, auditing, access control, • Ability to work independently in high-availability, production-critical systems, • Familiarity with AI-assisted tools (e.g., Claude, Windsurf, GitHub Copilot)QualificationsRequired, • 7+ years of hands-on PostgreSQL experience in large-scale, high-volume production environments, • Strong expertise in PostgreSQL internals:, • WAL, MVCC, vacuum tuning, query planner, indexing, logical replication, • Advanced SQL and strong schema design and query optimization skills, • Solid experience with Linux systems and networking fundamentals, • Experience building automation using Go or Python, • Experience with monitoring tools such as:, • Prometheus, Grafana, Datadog, PMM, pg_stat_statementsPreferred (Nice to Have), • Experience with connection pooling and load balancing:, • PgBouncer, HAProxy, • Experience with high-availability solutions:, • Patroni or similar tools, • Exposure to event streaming and CDC:, • Kafka, Debezium, • Experience supporting 24/7 production environments, • Experience with PostgreSQL backup tools:, • Barman, pgBackRest, WAL-G Want to know more about what we stand for? At Wavelo and Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality. We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people. Tucows and its subsidiaries participate in the E-verify program for all US employees. Learn more about Tucows, our businesses, culture and employee benefits on our site here.

Job Description Who We Are: Bandwidth, a prior "Best of EC" award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders! At Bandwidth, your music matters when you are part of the BAND. We celebrate differences and encourage BANDmates to be their authentic selves. #jointheband What We Are Looking For: As an Applied AI Engineer on the Corporate IT Engineering team, you'll identify where AI can create real leverage across our internal systems and operations, and build it. You'll work inside a team that owns a broad and complex infrastructure footprint, embedding AI into the platforms and workflows that keep Bandwidth running. This is an infrastructure and systems role with a deep AI focus. What You'll Do: • Own and extend existing AI platforms and tooling, improving reliability, expanding capabilities, and integrating them more deeply with internal systems., • Architect and build internal API layers and shared services that allow AI workflows and internal applications to publish, version, and retrieve outputs across the engineering ecosystem., • Identify and build AI-powered tooling that creates leverage across the Corporate IT Engineering stack, including infrastructure, identity, monitoring, and automation platforms., • Develop and iterate on proof-of-concepts that demonstrate how AI can augment or automate internal workflows; from anomaly detection in infrastructure logs to AI-assisted documentation and IT troubleshooting., • Containerize and orchestrate AI workloads using Docker and Kubernetes, ensuring reliable and reproducible deployments across environments., • Automate infrastructure provisioning and configuration using Terraform and Ansible, following infrastructure-as-code best practices., • Establish AI development patterns and best practices across the Corporate IT Engineering organization, helping teams adopt AI capabilities effectively and responsibly., • AI & Application Development, • Hands-on experience owning or extending LLM-powered platforms, including RAG pipeline development, prompt engineering, and integrating LLM APIs into production internal systems., • Expert-level knowledge of AI infrastructure, including model serving, inference optimization, GPU/CPU resource management, and MLOps pipelines., • Experience designing and building internal API layers or shared platform services that multiple teams and systems publish to and consume from., • Proficiency in Python and/or TypeScript for building integrations, scripts, and lightweight internal services., • Experience working with REST APIs and building integrations across a diverse internal tooling ecosystem., • Cloud & Infrastructure, • Strong AWS experience: required proficiency in core services (EC2, ECS/EKS, S3, RDS, Lambda, IAM, VPC) and experience architecting and operating production workloads on AWS., • Deep Docker and Kubernetes expertise: required hands-on experience containerizing applications, writing Dockerfiles, managing multi-container deployments, and orchestrating workloads with Kubernetes (EKS or self-managed)., • Deep Terraform and Ansible expertise: required experience writing and maintaining Terraform modules for cloud infrastructure, and using Ansible for configuration management and automation., • Experience with GitHub for version control, pull request workflows, branching strategies, and CI/CD integration., • Experience with Artifactory for artifact management, including publishing and consuming build artifacts, Docker images, and package registries., • Mindset & Collaboration, • An experimental mindset: comfortable inheriting imperfect systems, iterating quickly, and improving as you go., • Ability to evaluate AI capabilities through a business lens, understanding not just what's possible but what creates real value for internal teams and the organization., • Strong communication skills and the ability to explain AI concepts and tradeoffs to non-technical stakeholders., • A collaborative, team-first approach with a genuine curiosity about where AI is headed., • Experience with agentic frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar., • Familiarity with corporate IT or infrastructure engineering environments, understanding how enterprise platforms around identity, monitoring, and automation operate., • Background building MCP (Model Context Protocol) servers or tools that extend AI agent capabilities., • Experience with vector databases (e.g., Pinecone, Weaviate, pgvector) and semantic search. At Bandwidth, we're pretty proud of our corporate culture, which is rooted in our "Whole Person Promise." We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well… • 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses., • All new hires receive four weeks of PTO., • PTO Embargo. When you take time off (of any kind!) you're embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email., • Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges., • "Mahalo moments" program grants additional time off for life's most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild., • 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist. Are you excited about the position and its responsibilities, but not sure if you're 100% qualified? Do you feel you can work to help us crush the mission? If you answered 'yes' to both of these questions, we encourage you to apply! You won't want to miss the opportunity to be a part of the BAND. Applicant Privacy Notice

Job Description Steer offers a suite of software tools for today's automotive repair shop. We combine a mix of software tools that a repair shop needs to run a highly profitable shop, in one user-friendly, cost-effective platform. Through the Steer suite, we allow the shop owner to get back to focusing on what matters, and to stop worrying about marketing and customer retention. Steer began as an online directory for drivers to find a local mechanic. Fast forward to today, Steer has launched a complete Customer Relationship Management (CRM) marketing suite, complete with text messaging, email automation, direct mail integration, reputation management, appointment reminders, declined/recommended services, and many other features. We are always innovating and we are proud to be a leader in the automotive repair industry. In August 2024 Steer acquired AutoOps - the leader in modern, intelligent, and fully integrated scheduling software for auto repair shops. AutoOps allows customers to smoothly schedule through a shop's website and Google Business Profile. About the Role We're growing our world-class engineering team to usher our CRM platform into the next generation of software — and we're looking for a visionary Lead Full Stack Engineer to join our Core Platform Team Most Lead roles at "Big Tech" companies involve maintaining a single microservice or acting as a small cog in a 100-person machine. At Steer, you aren't just a contributor; you are the architect of a platform aiming for 100% market dominance. This is a high-impact role for someone who doesn't just write great code, but who can see around corners, challenge conventions, and lead entire products from vision to launch. We are actively refactoring our existing teams to be agentic-first — meaning our engineers don't just use AI as a tool, they architect systems around autonomous, AI-driven workflows. This is not a future initiative; it is how we build today. Why Steer? • True Ownership: You will lead massive products from start to finish within lean, high-velocity teams., • Hyper-Growth & Vision: We are currently at a fraction of our total addressable market in the automotive industry. The potential for scale is massive, and you will be a leading developer shaping this space, • Freedom to Innovate: You don't need side projects to explore new techniques. We provide the autonomy and the platform to experiment with and implement the latest tech directly into our core product., • AI-First & Agentic Culture: We are refactoring our teams to be agentic-first. We prioritize high-level problem-solving and AI/LLM expertise, and we actively encourage the use of AI tools to accelerate coding across any language and to power autonomous production workflows. What You'll Do • Technical Strategy & Ownership: Focus on the core components of the Steer CRM, specifically optimizing how we ingest and process data to revolutionize our automation tools., • Architectural Vision: Lead the design of reusable full-stack components and services that ensure our platform remains performant as we scale toward market dominance., • Adaptive Development: Pivot at a moment's notice based on evolving business needs, shifting focus between new integrations and core infrastructure to keep our ecosystem seamless., • Customer-Centric Engineering: Partner closely with Product to understand user pain points, ensuring every architectural decision adds tangible value to the auto repair shops we serve., • Code Excellence: Champion best practices in security, test automation, and maintainability. Conduct deep-dive code reviews that elevate the entire engineering organization., • Modern DevOps & Agentic Infrastructure: Influence our CI/CD pipelines, containerization (Docker, Kubernetes), and IaC practices. Design and maintain AI-integrated, agentic-ready infrastructure that enables autonomous workflows. What You Have Must Have: • 7+ years of professional experience building complex, web-based SaaS products., • AI & LLM Integration: Hands-on experience working with LLMs and prompt engineering. You use AI to bridge gaps and accelerate development., • AI in Production: Proven experience deploying AI-powered features and autonomous (agentic) workflows in production-grade infrastructure., • AI-Driven CI/CD: Hands-on experience integrating AI tooling into CI/CD pipelines (e.g., automated code review agents, AI-assisted testing, or agentic workflow orchestration)., • Database Expertise: Proficiency with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases, including schema design and query optimization., • The "Owner" Mindset: A track record of taking full accountability for projects and a passion for solving "impossible" problems in fast-paced environments., • Exceptional Communication: The ability to translate complex technical concepts into product outcomes and collaborate effectively with leadership. Nice to Have: • Familiarity with our current stack: .NET, Node.js (TypeScript), and React., • Experience with Infrastructure as Code (Terraform, CloudFormation)., • Previous experience as a founding engineer or in an early-stage startup environment., • Experience building or integrating with Claude marketplace plugins (Anthropic ecosystem), including prompt chaining, tool use, or MCP integrations. Interview Process • Initial Screen — 30 min with Lead Recruiter, • Hiring Manager Interview — 60 min with the Head of Engineering & Product, • Technical Interview — 60 min with a Principal Engineer, • Collaborative Interview — 30 min with Technical Product Manager What We Offer • Equity Options: Own a piece of the company's success., • 100% Remote: Work from anywhere in the US., • 100% Employer-Paid Medical Insurance., • Flexible PTO: With a 15-day minimum., • FSA, HSA, and 401k options., • Learning Stipend & WFH Equipment: Everything you need for a world-class home office., • Innovative Culture: A seat at the table to influence the latest AI technology in a collaborative, agentic-first environment. Why Join Steer? At Steer, we align our mission of transforming the auto repair experience for shop owners and their customers with your passion for growth, innovation, and excellence. Here, you'll find opportunities to expand your skills, take on career-shaping challenges, and contribute to the future of the auto repair industry, all while enjoying comprehensive benefits and flexible work arrangements to support your well-being. Join Steer to be part of a forward-thinking, flexible, and collaborative culture where you are empowered to do meaningful and impactful work. We value diversity and believe that forming teams in which everyone can be their authentic self is key to our success. We welcome applications from those with diverse backgrounds and industries. Our hiring process looks beyond just credentials. The school you went to at 18 doesn't define your potential to thrive and enrich our culture. Even if you don't meet every requirement, we invite you to apply.

Job Description Location: Our Solutions Engineer, SELECT by DoiT, will be an integral part of our Solutions Engineering team in North America. This role is based remotely in the US East. Who We Are DoiT is a global technology company that empowers cloud-driven organizations to achieve business growth and innovation through strategic cloud utilization. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state—from initial planning to full-scale production. With deep experience across cloud environments, we specialize in Cloud Data Platforms such as Snowflake, Databricks, and BigQuery, alongside strong FinOps expertise. As a trusted and award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we support over 4,000 customers worldwide. Our flagship offerings include DoiT Cloud Intelligence, which uniquely blends advanced technology with human insight to solve complex multicloud challenges and drive efficiency. We also offer SELECT for Snowflake—a pioneering solution for cost observability and optimization (with Databricks and BigQuery support coming soon). By automating optimizations and delivering actionable cost-saving insights, SELECT enables organizations to achieve unparalleled efficiency across their Cloud Data Platforms. The SELECT platform offers: • Automated savings on day one: An autonomous optimization engine that suspends idle compute and spins down excess clusters without requiring engineering time, saving customers 10-20% with minimal human intervention., • Targeted insights that stack-rank savings opportunities: Actionable recommendations that surface oversized resources, inefficient queries, and unused tables, prioritized by savings potential so teams know exactly where to focus., • Full cost visibility, down to the workload: Granular attribution across queries, jobs, teams, and departments, giving organizations the context to compare Cloud Data Platform spend against the business value provided., • Cost control and spike prevention: Budget tracking, forecast tooling, and configurable alerts that not only notify teams of runaway spend but immediately surface root cause analysis, eliminating the need to jump between consoles. Responsibilities • Technical Qualification & Discovery: Collaborating with the Account Executive to thoroughly understand the prospect's technical environment, Cloud Data Platform cost challenges, cost optimization goals, and key business objectives through in-depth technical discovery sessions., • Technical Validation & POV Leadership: Owning and driving the technical validation and Proof of Value (POV) exercises for SELECT. This includes meticulous POC preparation, proactive management, and ensuring successful technical outcomes, demonstrating clear value and alignment with prospect requirements., • Platform Demonstrations: Tailoring and delivering compelling SELECT platform demonstrations to prospects, effectively showcasing its capabilities and addressing their specific use cases and concerns., • Business Case & ROI Development: Leveraging your analytical skills and deep understanding of Cloud Data Platform to develop compelling business cases and robust ROI analyses that clearly articulate the tangible value, cost savings, and performance improvements achievable with SELECT., • SELECT Expertise: Becoming the go-to expert within the company for SELECT, ensuring prospects achieve optimal results and a seamless implementation experience., • Technical Win Ownership: Taking full ownership of the technical win for SELECT engagements, guiding prospects through the technical evaluation process, addressing all technical requirements, and building technical confidence in the solution., • Event & Conference Presentations: Representing DoiT and SELECT at company events and industry conferences, delivering engaging presentations and demonstrations to a wider audience, showcasing our Snowflake/Databricks (and soon BigQuery) optimization expertise as well as platform capabilities., • Product Feedback and Customer Advocacy: Translate customer pain points and feature gaps into structured, technically credible input for R&D teams. Represent the voice of the technical customer in roadmap discussions. About You You are an accomplished Solutions Engineer with a proven track record in a B2B SaaS environment, ideally with a strong emphasis on Snowflake/Databricks/BigQuery solutions. You excel as a technical leader within a sales team and are enthusiastic about empowering companies to optimize their Cloud Data Platform environments for maximum cost efficiency and performance through innovative solutions like SELECT. You are highly accountable for the technical success of all initiatives you are involved in and are driven to contribute to a high-performing sales organization that consistently wins in a competitive market. You are comfortable and thrive in a fast-paced, growing, collaborative, and entrepreneurial setting. Qualifications • 5+ years of experience in a Solutions Engineering role within a B2B SaaS software company, having a significant portion of that experience focused on selling to Snowflake, Databricks and BigQuery users and directly addressing challenges related to Cloud Data Platforms or cloud cost management., • Deep and demonstrable understanding of Snowflake, Databricks, or BigQuery as well as associated best practices, • Hands-on experience working with SaaS solutions focusing on Cloud Data Platforms in the areas of observability, optimization, FinOps, or data integration., • Exceptional data analysis skills with a proven ability to identify key trends, outliers, and correlations as well as the translation of those observations into actionable insights., • Strong track record of leveraging product data to construct compelling business cases and ROI justifications for prospective customers, clearly demonstrating the substantial cost savings and performance enhancements achievable through our solution., • Exceptional ability to articulate complex Cloud Data Platform related concepts and SELECT functionalities in a clear, concise, and easily understandable manner to both technical and business audiences., • Outstanding verbal, written, presentation, and interpersonal communication skills, with the confidence and expertise to present on sophisticated topics such as Cloud Data Platform optimization strategies and the compelling value proposition of SELECT., • Strong intellectual curiosity, exceptional problem-solving abilities, and a genuine passion for continuous learning and improvement within the dynamic Snowflake/Databricks/BigQuery ecosystem., • Proven experience working with and presenting to executive-level prospects and customers on critical topics related to Cloud Data Platforms and especially cost management., • Demonstrated experience with modern technical selling best practices/methodologies and a successful track record in competitive sales environments, including the ability to contribute to and implement effective trial, demo, and RFP processes specifically tailored for Cloud Data Platform optimization solutions like SELECT., • Prior professional experience as a Snowflake/Databricks/BigQuery data engineer/architect or FinOps professional is a plus. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values. Sounds too good to be true? Check out our Glassdoor Page. We thought so too, but we're here and happy we hit that 'apply' button. Full-time employee benefits include: • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend #LI-Remote

Job Description Job Title: CCaaS AI Deployment Engineer (AI.bot Implementation) Team: Customer Experience / Virtual Agent – Professional Services Level: Mid-Level Openings: 3 About the Company We are a global leader in unified communications and customer experience solutions. Our platform powers video, voice, chat, and contact center capabilities for organizations of all sizes, helping them connect teams, engage customers, and deliver modern, AI-driven experiences across channels. Our customer experience and virtual agent products enable organizations to automate and enhance customer interactions through intelligent chat and voice bots integrated into existing contact center and business systems. Role Summary We are hiring three Mid-Level Deployment Engineers to focus on hands-on implementation work for smaller mid-market customers. These roles are distinct from senior, enterprise-focused positions and are designed for engineers who execute strongly and are progressing into AI solution delivery, but are not yet at a senior/principal level. You will configure, deploy, and manage workflows and AI bot configurations for real-world client use cases, such as automating customer service calls and digital support interactions. Ideal candidates have a solid engineering background and hands-on experience with conversational AI / CX tooling (for example, platforms like Cognigy, Cyara, Glean or similar), showing a clear progression from implementation engineering into AI-powered solutions. Prior experience in implementation architecture (high-level design of implementations and integrations) is also a strong fit for this role, provided candidates are comfortable remaining hands-on. Key Responsibilities * Implementation & Configuration • Implement and configure AI chat and voice bots for mid-market customers based on defined requirements and solution designs., • Set up workflows, routing logic, and interaction flows to support use cases such as:, • Automating customer service and support calls, • Handling common inquiries via chat or messaging, • Integrating with existing systems (CRM, ticketing, knowledge bases, contact center platforms), • Configure channels, platform settings, and integrations according to best practices and implementation standards. Workflow & Bot Management • Build and maintain bot dialogs, intents, flows, and automation rules using low-code/no-code or configuration-based tools., • Tune and optimize workflows and configurations based on testing, analytics, and customer feedback., • Implement business rules, escalation paths, and seamless handoff logic to live agents. Technical Delivery • Translate solution designs from senior engineers, solution architects, or implementation architects into working configurations., • Execute deployment tasks such as:, • Environment/tenant setup and initial configuration, • Connecting data sources, APIs, and supporting tools (where required), • Configuration-focused troubleshooting and issue resolution, • Participate in functional and user acceptance testing, and resolve issues related to workflows, routing, and bot behavior. Customer & Cross-Functional Collaboration • Work directly with customer stakeholders (often in collaboration with project managers or senior engineers) to validate behavior, gather configuration details, and support deployment and go-live., • Partner with Professional Services project managers, sales engineers, and support teams to ensure smooth deployments and clean handoffs to ongoing operations. Engineering / Architecture Background • Previous experience in an engineering or implementation-focused role (e.g., deployment engineer, implementation engineer, systems engineer, or software engineer involved in solution delivery)., • Prior experience in implementation architecture (e.g., designing how systems, integrations, and workflows fit together for customer deployments) is a strong plus, as long as candidates are comfortable in a hands-on configuration role., • Strong technical problem-solving skills and comfort working with complex, configuration-driven SaaS platforms. Implementation Experience • Hands-on experience implementing or configuring:, • Conversational AI, virtual agents, or chatbots, and/or, • Contact center, IVR, or telephony solutions, and/or, • Other enterprise CX platforms where workflows and integrations are key., • Ability to convert business/functional requirements into concrete configuration tasks and detailed implementation steps. AI / CX Tooling Exposure • Experience with one or more tools or platforms in the conversational AI / CX ecosystem (for example, platforms like Cognigy, Cyara, Glean, or comparable technologies)., • Familiarity with concepts like intents, flows, routing, NLU/NLP, and automation in customer service contexts., • Demonstrated interest in further developing skills in AI-powered customer experience solutions. Technical Skills • Comfort using web-based admin consoles and configuration interfaces., • Familiarity with:, • Basic API and webhook concepts, • Data and systems integration principles (able to follow implementation guides and collaborate with more technical teams), • Ability to read and apply technical documentation in real-world deployments. Soft Skills • Strong organizational skills, with the ability to manage multiple mid-market implementations in parallel., • Clear, concise written and verbal communication, especially when documenting configuration decisions and explaining system behavior to non-technical stakeholders., • Approximately 2–5 years of experience in implementation or deployment engineering, ideally in enterprise SaaS, contact center, or CX environments., • A career path that shows progression from general implementation engineering into AI and automation-focused work, potentially including a stint in implementation architecture, without being overly senior., • Experience working with customers in the mid-market segment, balancing standardization with tailored configuration., • Motivated to grow into more advanced AI solution delivery while maintaining a strong hands-on, execution-focused role.

Job Description Who We Are: Bandwidth, a prior "Best of EC" award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders! At Bandwidth, your music matters when you are part of the BAND. We celebrate differences and encourage BANDmates to be their authentic selves. #jointheband What We Are Looking For: A Sr. Software Developer (Infrastructure) that will help us build the platform and tools that help Bandwidth engineers ship better software, faster. Bandwidth powers brands like Google, Microsoft, Zoom, and GoDaddy with intelligent voice, messaging, 911 access, and phone number services, all on our own nationwide, all-IP network. We're the infrastructure layer that global enterprises trust to connect their customers. Our Software Infrastructure team owns the "paved road." The platform, tools, and systems that let every Bandwidth engineer build and ship with confidence. We're looking for someone who wants to help take that further: an engineer who sees AI not as a tool to adopt, but as a platform to build. You'll play a key role in helping make Bandwidth an AI-first engineering organization. What you'll do • Design and operate Bandwidth's AI infrastructure layer, including our LLM gateway, model routing, and cost controls, so every engineering team can experiment with AI tools safely and cheaply., • Build and maintain the "paved road" of developer tooling and platform services that help engineers ship faster with less friction., • Drive adoption of AI coding tools (Claude Code, Copilot, and others) by building enablement systems, prompt libraries, MCP server integrations, and internal tooling that make AI feel obvious, not optional., • Connect AI to the systems engineers already use (Jira, Confluence, Slack, GitHub) so context flows to wherever work happens., • Measure what actually matters: engineer velocity, build times, reversion rates, and real shipping outcomes. Not vanity metrics., • Stay ahead of the curve on agentic workflows, helping teams evolve from writing every line of code to orchestrating AI systems that handle the toil.What you need, • 5+ years of experience building and operating web services in production, • Hands-on experience with cloud infrastructure, especially AWS, • Strong coding skills in Python, Go, TypeScript, or similar, • Experience with platform services: CI/CD, secrets management, developer portals, internal tooling, • Familiarity with LLM APIs and the tradeoffs involved in model routing, token cost management, and AI observability, • Experience building tools or services that other engineers depend on day-to-day, • A results-driven mindset. You close the loop, you ship, you measure., • Bachelor's degree or equivalent experienceBonus points, • You've built or operated an LLM proxy, AI gateway, or model routing layer, • You've worked on a Developer Experience or Software Platform team before, • You've written infrastructure as code (Terraform, CDK, CloudFormation), • You've built MCP servers or integrated AI tools with internal systems like Jira, Slack, or GitHub, • You've built tools or services other developers actually use (open source counts), • You've worked in a startup or high-ambiguity environment where you had to define the requirements yourselfWhy this role is different, • The AI landscape is moving fast. We're not looking for someone to standardize a single tool. This team is helping build the infrastructure layer that makes every tool possible. The LLM gateway, the MCP server integrations, the internal tooling that lets engineers experiment without bottlenecks: that's this team's contribution to where Bandwidth is headed., • The principle is simple: standardize infrastructure, not tools. The aspiration is an engineering organization where every engineer has superpowers, AI is woven into how work gets done by default, and the people building software still deeply understand the systems they're building. At Bandwidth, we're pretty proud of our corporate culture, which is rooted in our "Whole Person Promise." We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well… • 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses., • All new hires receive four weeks of PTO., • PTO Embargo. When you take time off (of any kind!) you're embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email., • Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges., • "Mahalo moments" program grants additional time off for life's most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild., • 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist. Are you excited about the position and its responsibilities, but not sure if you're 100% qualified? Do you feel you can work to help us crush the mission? If you answered 'yes' to both of these questions, we encourage you to apply! You won't want to miss the opportunity to be a part of the BAND. Applicant Privacy Notice

Job Description Who We Are: Bandwidth, a prior "Best of EC" award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders! At Bandwidth, your music matters when you are part of the BAND. We celebrate differences and encourage BANDmates to be their authentic selves. #jointheband What We Are Looking For: We are seeking a Senior Analytics Engineer to serve as a senior technical authority for the analytics data layer, driving scalable modeling patterns, governance, and performance across multiple domains. In this role, you will architect core datasets and semantic foundations, lead complex cross-functional initiatives, mentor engineers and analysts, and establish engineering and governance patterns for AI agent building and lifecycle management. You will also provide analytics-facing leadership for Sigma Administration and Snowflake Administration consistent with senior expectations. What You'll Do: • Architect the analytics layer: Design enterprise-grade dimensional models, conformed dimensions, and shared marts enabling consistent reporting across domains., • Establish standards and governance: Define/enforce modeling conventions, metric definitions, documentation requirements, and data contracts., • Lead complex initiatives: Drive cross-team builds/rebuilds and migrations end-to-end with clear impact analysis, sequencing, risk management, and stakeholder alignment., • Lead semantic modeling: Define semantic modeling strategy and patterns (entities, relationships, governed metrics) for BI and agent consumers., • Lead agent enablement patterns: Establish data structures and governance to support AI agents (grounding/citations-ready provenance, versioned prompts/config where applicable, evaluation datasets, exception queues)., • Implement observability patterns: Establish monitoring/alerting strategy (freshness/volume/quality) and basic anomaly detection guardrails; mature incident response playbooks., • Ensure platform excellence: Create performance and cost guardrails for Snowflake; standardize efficient patterns in dbt and SQL; prevent regressions., • Lead Snowflake Administration (analytics-facing): Own analytics-oriented administration patterns including RBAC conventions for consumption, access workflows, operational guardrails, and cost governance (production administration expectation)., • Operationalize AI/analytics workflows: Define and standardize n8n automation patterns for approvals, escalations, exception queues, and system-to-system integrations supporting analytics and agent workflows., • Represent analytics engineering in architecture reviews and governance councils., • Bachelor's degree required; Master's preferred (or equivalent senior-level experience)., • 5–8+ years relevant experience in analytics engineering, analytics-focused data engineering, or BI platform engineering., • Expert SQL and deep experience with dimensional modeling and enterprise metric consistency., • Significant dbt experience including project architecture, macros, test strategy, templates, and deployments; deep understanding of analytics-engineering workflows (dbt, governance, testing)., • Demonstrated leadership in driving technical initiatives and mentoring other engineers., • In-depth knowledge of generative AI / LLM concepts and enterprise application patterns (agent enablement, governance). Education: • Strong Python proficiency for automation, validation frameworks, and data tooling., • Experience implementing semantic/metric layer tooling (category) at scale., • Familiarity with data cataloging/lineage tooling (category)., • Experience coordinating orchestration patterns with tools such as Prefect., • Demonstrated success implementing integration frameworks using tools such as n8n (and similar platforms)., • Expert SQL & architecture: Set modeling direction across domains; design for scalability, maintainability, and cross-domain consistency; define performance standards and anti-patterns., • dbt architecture leadership: Own dbt project structure, macro strategy, testing strategy, documentation standards, and deployment patterns; prevent regressions via CI/CD guardrails., • Enterprise semantic modeling strategy: Define semantic modeling patterns (entities, relationships, governed metrics) used consistently across BI and agent consumers; reduce duplicated logic., • Snowflake Administration (analytics-facing, production): Lead analytics-oriented admin patterns: RBAC conventions for consumption, access governance workflows, cost/performance guardrails, operational runbooks, and environment promotion hygiene., • Sigma Administration (lead): Own workspace governance: organization/folder strategy, access governance, content standards, usage-quality controls, and enablement patterns., • Agent building enablement (org patterns): Establish standardized structures and governance to support AI agents: provenance/citation-ready data, versioned configurations where applicable, evaluation datasets, exception handling/review workflows, and lifecycle maintenance patterns., • Observability engineering: Define monitoring/alerting standards for freshness/volume/quality; implement basic anomaly detection guardrails and incident response playbooks., • AWS ecosystem awareness: Understand how AWS constraints (security posture, networking, cost governance) affect data access, operations, and analytics/agent enablement., • Orchestration standards: Define integration patterns with Prefect (dependency design, SLA management, failure handling) and expectations for pipeline reliability., • Strategic thinker with ability to align technical solutions with business objectives., • Strong problem-solving and analytical skills; able to address complex technical challenges effectively., • Clear communicator; engages effectively with both technical teams and business stakeholders., • Effective mentor; promotes technical excellence among engineering teams., • Self-directed, with ability to manage multiple technical initiatives and priorities., • Detail-oriented with commitment to quality in architecture, code, documentation, and solution design., • Passionate about leveraging emerging AI technologies and automation platforms to improve business operations. At Bandwidth, we're pretty proud of our corporate culture, which is rooted in our "Whole Person Promise." We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well… • 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses., • All new hires receive four weeks of PTO., • PTO Embargo. When you take time off (of any kind!) you're embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email., • Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges., • "Mahalo moments" program grants additional time off for life's most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild., • 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist. Are you excited about the position and its responsibilities, but not sure if you're 100% qualified? Do you feel you can work to help us crush the mission? If you answered 'yes' to both of these questions, we encourage you to apply! You won't want to miss the opportunity to be a part of the BAND. Applicant Privacy Notice

Job Description Location Our Solutions Engineer, DoiT Cloud Intelligence, will be an integral part of our Solutions Engineering team in the US. (Fully remote) Who We Are DoiT is a global technology company empowering cloud-driven organizations to achieve business growth and innovation through strategic cloud utilization. We blend data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state, from initial planning to full-scale production. With extensive experience across various cloud environments, we possess deep specializations in Cloud Data Platforms such as Snowflake, Databricks, BigQuery, as well as FinOps experience. As a trusted and award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we proudly support over 4,000 customers worldwide. Our flagship offerings include DoiT Cloud Intelligence, which uniquely combines advanced technology with human insight, enabling us to solve complex multicloud challenges and drive significant efficiency for our clients. The DoiT Cloud Intelligence platform offers: • Provides deep visibility into cloud cost, usage, performance, and optimization opportunities across complex multi-cloud environments, enabling organizations to make data-driven infrastructure decisions., • Combines automation, analytics, and expert guidance to identify savings opportunities, improve resource efficiency, and continuously optimize cloud investments at scale., • Designed to power Managed Service Providers (MSPs), Systems Integrators (SIs), and Private Equity (PE) operating teams with portfolio-level insights, benchmarking, and operational tooling to manage multiple cloud environments effectively. Responsibilities • Technical Qualification & Discovery: Collaborating with the Account Executive to thoroughly understand the prospect's cloud environment, FinOps maturity, cost management challenges, and operational goals through in-depth technical discovery sessions across engineering, finance, and platform teams., • Technical Validation & POV Leadership: Owning and driving the technical validation and Proof of Values (POVs) specifically for DoiT Cloud Intelligence. This includes meticulous POV preparation, proactive management, and ensuring successful technical outcomes, demonstrating clear value and alignment with prospect requirements., • Platform Demonstrations: Developing and delivering compelling and tailored demonstrations of DoiT Cloud Intelligence, showcasing capabilities such as cloud cost visibility, optimization insights, and operational intelligence across complex multi-cloud environments., • Business Case & ROI Development: Leveraging your understanding of cloud economics and FinOps to develop compelling business cases and ROI analyses that clearly articulate the financial and operational impact of adopting DoiT Cloud Intelligence., • Partner & Portfolio Motion Support (MSP, PE, SI): Supporting technical engagements with Managed Service Providers (MSPs), Private Equity (PE) firms, and Systems Integrators (SIs) by demonstrating how DoiT Cloud Intelligence enables portfolio-level visibility, operational insights across multiple cloud environments, and scalable optimization strategies., • DoiT Cloud Intelligence Expertise: Becoming the go-to expert within the company for DoiT Cloud Intelligence, ensuring prospects and partners achieve optimal results and a seamless onboarding experience., • Technical Win Ownership: Taking full ownership of the technical win for DoiT Cloud Intelligence engagements, guiding prospects through the evaluation process, addressing technical requirements, and building confidence in the platform's ability to drive cloud efficiency and operational insights., • Event & Conference Presentations: Representing DoiT Cloud Intelligence at company events, webinars, and industry conferences, delivering engaging presentations and demonstrations that highlight the platform's cloud intelligence and FinOps capabilities., • Product Feedback and Customer Advocacy: Translate customer pain points, partner requirements, and feature gaps into structured, technically credible input for product and engineering teams, helping shape the evolution of the Cloud Intelligence platform. About you You are an accomplished Solutions Engineer with experience in a B2B SaaS software environment. You have an established track record of success and enjoy being the model for the ideal Solutions Engineer within a team. You are excited about enabling companies to transform themselves using the public cloud and the service offerings in the cloud (AWS, GCP, Azure, etc.) You hold yourself accountable for the success of any initiative you are involved in. You want to be a part of a high performance sales organization and love winning against the competition. You are comfortable working in a fast paced, growing, collaborative, entrepreneurial environment. Qualifications • 5+ years experience at B2B SaaS software company in a pre-Solution Engineering role selling into both enterprise and mid-market accounts., • An understanding of ITSM eco-systems and prominent solutions within them, such as: Cloud Management tools, DataDog, Chef, Ansible, Puppet, New Relic, ServiceNow, AlertLogic etc., • Experience working with Amazon Web Services (AWS) or equivalent cloud, and Datacenter experience with knowledge of hypervisors like VMWare., • Strong data analysis skills and the ability /navigate spreadsheets to identify trends, outliers, correlations and reconciliation needs across large data sets., • Good practical understanding of cloud-centric architectures., • Comfort level working in a metric-driven environment, including reporting on and improving business performance against a set of monthly KPIs and metrics., • The ability to take complex pieces of technology and explain them in a simple and easy to understand way., • Solid verbal, written, presentation and interpersonal communication skills., • Intellectual curiosity, great problem solving skills and passion for continuous improvement., • Previous experience working with/presenting to executive level prospects and customers., • Experience with modern technical selling best practices and selling in a competitive environment, including implementing new or improved trial, demo, and RFP processes. Sounds too good to be true? Check out our Glassdoor Page. We thought so too, but we're here and happy we hit that 'apply' button. • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend #LI-Remote

Job DescriptionAbout Fractional AI How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages? Fractional AI is a startup in the heart of Silicon Valley targeting the biggest greenfield opportunity in the economy: transforming companies with AI software at a scale the market is only beginning to understand. Our clients include Zapier, Airbyte, and companies from industries ranging from data infrastructure to healthcare and life sciences. We were founded by repeat founders Chris Taylor, Eddie Siegel, and Travis May (Founder of Datavant, $7B exit), and are backed by Shaper Capital. Most of our engineers are former founders or staff engineers from top tech companies like Google and Stripe. We're headquartered in SF with offices in NYC, Raleigh-Durham, and Dubai. The Role This role is designed for former engineering leaders (IC or EM) or founders who are comfortable owning end-to-end technical outcomes but specifically want to continue being impactful as individual contributors and spend more time in the code. You'll work on a small, high-caliber team (2–5 engineers and a PM) building AI products for our clients. You'll set technical direction, write code, and be the person the team looks to when something is hard. You'll spend roughly 75% of your time in code and 25% working directly with clients — often their CTOs — understanding problems, walking through tradeoffs, and making sure what we’re building meets their needs. Most engineers take a decade to see this range of hard problems across this many domains. Here, you'll do it in your first year. To make this possible, we are religious about being the best company in the world to learn Applied AI engineering practices. What You Bring * 8+ years of engineering experience, with deep care for the craft. You've shipped multiple complete products end-to-end and write elegant, production-ready code across multiple disciplines. * Specific interest in applying software engineering fundamentals to AI systems. You care about balancing frontier model capabilities with good system design. * Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care about people using what you build. * High ownership mindset. You jump in without instruction, embrace a "no job too big, no job too small" mindset, and want to shape strategy and culture. * Low ego, high integrity. You help others and ask for help. You hold a high bar for honesty–with yourself and your team. Our Engineering Philosophy We're opinionated about what works in production, and we write about it — from why most eval setups fail by collapsing everything into a single score, to why defaulting to chat interfaces limits AI's impact. We have a distinct approach to building AI systems: applying standard software engineering discipline to the non-deterministic world of frontier AI. We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over. After shipping 30+ AI products, we have strong opinions on what makes AI products succeed and how to get them into production. We think you'll find it refreshing if you've seen how most companies approach AI. How Fractional Is Different A typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product — but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else. Most engineers look back at this as the biggest growth period of their career. But it's possible you won't like it — we recommend using the interview process to hear what our engineers think. Our Values * Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world’s best applied AI team. * Overuse AI: We go out of our way to experiment with the latest tools and share what we learn with our teammates - building a culture at the frontier. * Over "engineer" the culture: For every big decision, we ask “would this make Fractional a better or worse place for our team?” Location Raleigh-Durham-Chapel Hill, NC Work Arrangement: 4 days in-person, Fridays remote Benefits * 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills. * 📈 401k with Matching: Invest in your future with our company-matched retirement plan. * 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. * 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. * 🚑 Health FSA: Manage out-of-pocket health expenses effectively. * 🚌 Commuter Benefits: Make your travel to work easier and more affordable. * 🏥 Life Insurance: Providing peace of mind for you and your loved ones. * 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Ready to join us?

Job Description Material Bank is the world's largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials. About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team responsible for taking ideas from concept to production — building intelligent systems and user experiences that blend cutting-edge AI capabilities with the high standards of quality, aesthetics, and usability expected in the architecture and community. This is a senior-level individual contributor role focused on applied AI product development. You will work across the stack to architect and deploy scalable AI systems that enhance how users discover, understand, and engage with products, materials, and creative content. Your work will span areas such as multimodal search and understanding, AI-assisted content generation, intelligent workflows, personalization, creative tooling, and agentic systems. We are looking for someone who not only understands modern AI systems technically, but also has strong product instincts, visual sensibility, and genuine passion for building AI experiences that feel thoughtful, polished, and useful. AI will play a foundational role in the future of Material Bank's platform, and you will help define and build that future. What you'll do • Design, build, and deploy end-to-end AI-powered product experiences from concept through production., • Architect and implement scalable AI systems leveraging LLMs, embeddings, multimodal models, retrieval systems, agent frameworks, and modern data infrastructure., • Build production-grade multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling., • Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning., • Build multimodal AI workflows that analyze and reason over images, creative assets, and visual datasets using modern multimodal LLMs, embedding models, and specialized tooling such as SAM2/SAM3., • Create AI-assisted experiences for search, discovery, content generation, personalization, and creative workflows across Material Bank's platform., • Evaluate, refine, and improve AI-generated outputs for quality, tone, accuracy, and creative alignment through testing, iteration, and human-in-the-loop evaluation strategies., • Partner closely with Product, Design, Engineering, Data, and Executive Leadership to identify high-impact opportunities and translate ambiguous ideas into production-ready AI capabilities., • Make architectural decisions that balance speed, scalability, latency, cost, accuracy, and long-term maintainability., • 8+ years of experience building and shipping production software, including significant full-stack engineering experience., • Demonstrated success designing and deploying production-grade AI/ML systems and AI-powered product experiences., • Deep hands-on experience with LLMs, embeddings, multimodal AI systems, RAG architectures, and multi-agent frameworks such as LangGraph, LangChain, Mastra, or equivalent custom tooling., • Strong engineering fundamentals across backend systems, APIs, data pipelines, cloud infrastructure, and modern JavaScript/TypeScript and Python ecosystems., • Experience working with multimodal models, visual analysis systems, and image-based AI workflows at scale, including familiarity with modern image-generation tooling and services., • Strong systems thinking with the ability to balance trade-offs across latency, cost, scalability, accuracy, reliability, and user experience., • Proven ability to independently take ambiguous problems from idea to shipped product with minimal oversight., • Strong product instincts, visual sensibility, and a high bar for quality, usability, and craftsmanship in AI-generated experiences., • Genuine interest in creative industries such as architecture, design, fashion, media, photography, or art, with an appreciation for aesthetics and taste., • Open-source contributions, side projects, or publicly demonstrable AI work that reflects curiosity, experimentation, and passion for applied AI are strongly preferred., • Our people: We are a growth-driven team that values efficiency, builds smart automation, operates in small empowered teams, and moves quickly from idea to execution., • Relaxation and Celebrations: Flexible PTO, Sick Days, Paid National Holidays, and even more (ask us about this when we connect)., • Health Benefits: We contribute to your medical, dental, vision and short-term/long-term disability plans and have a strong employee assistance program., • Plan for your Retirement: 401(k) eligible after your first 90 day's employed!, • Giving Back: We sponsor multiple events throughout the year to help out our communities., • Growth: We'll help you take your career to the next level. We want you to be creative and take initiative which will allow you to grow and create within the company. Most importantly, be the best at what matters!

Job DescriptionCompany Description Join a top-notch Power Design Team within Renesas Electronics America’s leading power management product line. As a Principal Engineer within one of our most prominent BMS Design Groups, you will spearhead the development of next-generation IC products for fast-paced consumer, industrial, and automotive power markets. At Renesas, you will experience the best of both worlds: A strong financial foundation of a multi-billion dollar global leader paired with the flexibility and velocity of a specialized design organization. Our solutions are at the heart of products developed by the world's major innovators. Join us and drive what’s next in power electronics. Job Description Job Responsibilities • Drive Specification & Architecture: Define chip specification requirements and analyze process options to select the best technology for target applications., • System-Level Design: Lead digital module design and full system-level simulations., • Verification Oversight: Develop and execute comprehensive design verification plans, ensuring total system-level integrity., • Physical Implementation: Manage synthesis and P&R constraint generation, including clock tree specifications., • Testability & Quality: Oversee scan insertion and pattern generation to ensure rigorous silicon standards., • Product Lifecycle Management: Partner with Test, Product, and Application Engineering to develop validation plans and drive products through to final release., • Customer & Market Strategy: Engage directly with customers to identify application needs and define total system-level solutions., • Technical Consultation: Provide subject matter expertise for marketing initiatives and support customer design-ins through site visits and technical reviews.Qualifications, • Expert Technical Skills: Mastery of Verilog coding, Register file design, Serial interfaces, and State machine architectures., • Implementation & Tooling: Deep proficiency with Cadence design tools, including Synthesis, Linting, Static Timing Analysis (STA), and Clock Domain Crossing (CDC)., • DFT & Automation: Proven track record in Scan insertion, self-test methodologies, and automation scripting., • Verification & Modeling: Strong verification background (SystemVerilog); experience with VerilogAMS coding for functional verification is a significant plus., • Strategic Communication: Exceptional written and verbal cross-functional communication skills with the ability to translate complex technical requirements for customers and internal stakeholders., • Education & Experience: BSEE required (MSEE preferred) with 15+ years of professional industry experience in a Digital Design Engineering role. Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’ At Renesas, you can: • Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things., • Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. Join Renesas. Shape Your Future with Us. Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law. For more information, please read our Diversity & Inclusion Statement. Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas. We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in-office days are Tuesday through Thursday for innovation, collaboration and continuous learning.

We are driven to always be the firm of the future, to challenge the status quo, and to provide holistic business solutions to our clients in new and innovative ways.We are the world's largest global law firm, with 12,000+ people across 80+ countries.Driven by the diverse perspectives of our people,

BSc/MSc degree in Computer Science, Engineering or equivalent.

Bachelor's degree in an Engineering Field. Professional Engineer (PE) license.

Principal Software Engineer (Data Warehousing/Lakehouse and Analytics Solutions)The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Join us to do the best work of your career and make a profound social impact as a Principal Software

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Government Jobs - Full time - $40,409.Annually **Hiring Range $40,409.Performs semi-skilled to skilled manual work in the construction, repair, maintenance and preparation of athletic facilities.Work involves providing work leadership to others and performing work duties at a higher skill level and

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Customer Relations Project Manager.Customer Relations Project Manager.Project Management Team out of Raleigh, NC.Founded in Denmark in 2014, Eupry is redefining how leading life science companies validate, monitor, and document temperature and humidity.Through their Compliance as a Service model, Eu

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Responsible for maintaining, troubleshooting, and repairing press equipment and related printing systems to ensure optimal machine performance and production efficiency.This role supports overall operational excellence by performing preventive maintenance, diagnosing equipment issues on electromecha

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