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Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role And Responsibilities About the Role: As a Senior Product Manager in the Kafka Connect team at Confluent, you'll contribute to the mission of building the world's best data streaming platform. You will help drive Confluent Connect's Enterprise feature portfolio. You will also be responsible for enabling seamless, enterprise-grade integration between Kafka and common external systems, and supporting on-premise deployments and managed services in Confluent Cloud. You are expected to use or introduce AI/ML capabilities for the features you are building or enhancing. You will be working with the field on many GTM initiatives and be the focal point for customer success. What You Will Do You'll be responsible for the success of a major product initiative, from initial conception and customer development to growth strategy. You'll become the trusted resource for your product, making sure that the engineering, design, sales, and marketing have what they need to make the right trade-offs, build the right product, and grow it successfully in the market. Preferred Education Master's Degree Required Technical And Professional Expertise 5+ years of experience as a software product manager, ideally for an Enterprise technical product Empathy for our enterprise customers, and a passion for solving their problems with the software, sometimes being hands-on. Ability to craft a product strategy and roadmap in concert with customers, engineering, design, and go-to-market teams Excellent communication skills, including the ability to distill technical concepts to a non-technical audience Strong technical competency, especially with distributed data systems, public and private clouds, and stream processing Experience with a modern integration platform is a plus Experience with Enterprise software features like security, networking, observability is a plus MBA is a strong plus Bachelor's, Master's, or Ph.D. in Computer Science or related technical field Preferred Technical And Professional Experience Expertise in Market Analysis: Experience with analyzing market trends, customer needs, and competitor activity to inform product definition and stay ahead of competitors. Product Roadmap Development: Experience in defining product roadmaps, pricing, and ecosystem strategies to achieve market leadership, including developing and executing product plans. Cross-Functional Team Collaboration: Experience managing and guiding cross-functional teams, including design, product marketing, ecosystem partners, analysts, engineering, sales, and services teams, to deliver successful products.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role And Responsibilities About the Role: As a Senior Product Manager in the Kafka Connect team at Confluent, you'll contribute to the mission of building the world's best data streaming platform. You will help drive Confluent Connect's Enterprise feature portfolio. You will also be responsible for enabling seamless, enterprise-grade integration between Kafka and common external systems, and supporting on-premise deployments and managed services in Confluent Cloud. You are expected to use or introduce AI/ML capabilities for the features you are building or enhancing. You will be working with the field on many GTM initiatives and be the focal point for customer success. What You Will Do You'll be responsible for the success of a major product initiative, from initial conception and customer development to growth strategy. You'll become the trusted resource for your product, making sure that the engineering, design, sales, and marketing have what they need to make the right trade-offs, build the right product, and grow it successfully in the market. Preferred Education Master's Degree Required Technical And Professional Expertise 5+ years of experience as a software product manager, ideally for an Enterprise technical product Empathy for our enterprise customers, and a passion for solving their problems with the software, sometimes being hands-on. Ability to craft a product strategy and roadmap in concert with customers, engineering, design, and go-to-market teams Excellent communication skills, including the ability to distill technical concepts to a non-technical audience Strong technical competency, especially with distributed data systems, public and private clouds, and stream processing Experience with a modern integration platform is a plus Experience with Enterprise software features like security, networking, observability is a plus MBA is a strong plus Bachelor's, Master's, or Ph.D. in Computer Science or related technical field Preferred Technical And Professional Experience Expertise in Market Analysis: Experience with analyzing market trends, customer needs, and competitor activity to inform product definition and stay ahead of competitors. Product Roadmap Development: Experience in defining product roadmaps, pricing, and ecosystem strategies to achieve market leadership, including developing and executing product plans. Cross-Functional Team Collaboration: Experience managing and guiding cross-functional teams, including design, product marketing, ecosystem partners, analysts, engineering, sales, and services teams, to deliver successful products.

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Huron is a global professional services firm that collaborates with clients to put possible into practice by creating sound strategies, optimizing operations, accelerating digital transformation, and empowering talent to adapt for the future. The Workday Extend team builds custom applications and Marketplace products on Workday's Extend platform for enterprise clients. This Product Manager will own the full product lifecycle for Extend solutions — from discovery and scoping through delivery, iteration, and go-to-market. You will be the connective tissue between our clients, our technical architects, and the Workday partner ecosystem. Key Responsibilities Own the end-to-end product lifecycle for Workday Extend applications (vision, roadmap, requirements, delivery, iteration) Lead Extend workstreams across client engagements — manage scope, timelines, and stakeholder alignment Drive Marketplace product strategy — identify reusable patterns across client work, package them as productized Bring-on-Workday offerings, and own go-to-market planning Partner with Extend Architects to translate business requirements into technical solutions on the Extend platform Own tenant architecture decisions in partnership with technical leads Manage cross-functional delivery across HCM, Financials, Payroll, and Integration workstreams Conduct discovery sessions, gather requirements, and define acceptance criteria Build and maintain product backlogs, prioritize features based on client impact and reuse potential Support pre-sales efforts — contribute to estimations, proposals, and solution demos Champion adoption of AI and agentic workflow capabilities within Extend solutions Evangelize Huron's Extend capabilities internally and with the Workday partner community Required Qualifications 5+ years of product management experience in enterprise SaaS or consulting 3+ years working within the Workday ecosystem Workday Pro certification (active) in at least one domain Deep understanding of the Workday Extend platform (custom business objects, pages, orchestrations) Experience with Workday integrations (Studio, EIBs, Core Connectors, REST/SOAP APIs) Cross-module breadth spanning at least two of: HCM, Financials, Payroll, Supply Chain Strong stakeholder management and client-facing communication skills Ability to translate technical complexity into clear business outcomes Preferred Qualifications Experience publishing or managing apps on the Workday Marketplace Familiarity with Workday AI / Illuminate capabilities and agentic workflow design Exposure to Workday Data Cloud and Prism Analytics Experience building go-to-market strategies for packaged SaaS products Workday Pro certification in Extend or Integrations AI & Emerging Technology Literacy Expected Within The First Year In Role Working understanding of Workday's AI agent framework (Developer Agent, Agent-Ready Tools, Agent Actions) Ability to evaluate where agentic automation fits within Extend solution design Awareness of Model Context Protocol (MCP) and its role in developer tooling Familiarity with Workday Data Cloud / LDQ concepts and their impact on product architecture What We Offer Competitive compensation with performance-based incentives Remote-first work environment with flexibility Professional development budget and Workday certification support Opportunity to shape Huron's Extend product strategy and Marketplace presence Collaborative team culture with direct exposure to enterprise clients Career growth path within a growing practice area The estimated base salary range for this job is $145,000 - $170,0000. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron's annual incentive compensation program, which reflects Huron's pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $174,000 - $204,000. The job is also eligible to participate in Huron's benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future Position Level Manager Country United States of America

Why Mobility Global? At Mobility Global, our mission is to provide the trusted information that helps billions of people build, sell, and own vehicles with confidence. As we shape the next generation of automotive intelligence through innovation, AI, and industry-leading data, we're creating new opportunities for our customers, our business, and our people. Join a team singularly focused on transforming the automotive industry. S&P Global Mobility is Mobility Global, the company behind CARFAX, automotiveMastermind, Market Scan, and Polk Automotive Solutions. Our strength comes from our people, and here, the progress you make helps the entire automotive ecosystem move faster and with greater confidence. 10X Virginia Business Best Places to Work 9X Washingtonian Great Places to Work 10X Washington Post Top Workplace 3X St. Louis Post-Dispatch Best Places to Work What You'll Do Define and execute the product strategy, roadmap, and lifecycle management for Auto Insurance Solutions, ensuring alignment with customer needs and business objectives. Conduct customer research, market analysis, and competitive assessments to identify market opportunities, emerging trends, and areas for innovation. Engage directly with insurance carriers, agencies, and industry stakeholders to understand business challenges and workflow requirements across underwriting, pricing, policy creation, acquisition, and retention. Translate customer feedback and market insights into product requirements, business cases, enhancements, and new product development initiatives. Partner closely with technology, data, sales, marketing, and customer-facing teams to bring innovative, data-driven solutions to market and optimize product performance. What We're Looking For Required Qualifications Bachelor's degree or equivalent experience. 4+ years of product management experience within insurance, insurtech, automotive insurance, or insurance data solutions. Strong understanding of auto insurance carrier operations, policy lifecycle processes, and how insurers utilize data to support underwriting, pricing, policy issuance, customer acquisition, and retention. Experience developing products based on customer feedback, market research, business needs, and data-driven decision-making. Strong analytical, strategic thinking, communication, and stakeholder management skills, with the ability to influence both technical and non-technical audiences. Preferred Qualifications Experience working for an insurance carrier, insurtech company, or insurance data provider. Experience developing solutions used by insurance agents, underwriters, or carrier operations teams. Knowledge of automotive insurance data, analytics, and software solutions. Experience with product pricing, market positioning, go-to-market strategy, and distribution channels. Familiarity with data privacy regulations such as DPPA, GLBA, CCPA, or similar compliance frameworks. This is a hybrid role with in-office expectations determined by location and subject to change based on evolving business needs. U.S. Work Authorization: This position is open to applicants who are currently authorized to work in the United States and will not require employer sponsorship now or in the future. The anticipated annual base salary range for this position is $119,000-$143,000. Actual compensation within this range will be determined based on a variety of factors, including geographic location, relevant experience, skills, qualifications, and internal equity considerations. What's In It for You Competitive compensation package, including base salary and incentive opportunities where applicable. Comprehensive health and wellness benefits for employees and eligible dependents. Retirement savings programs, including company matching contributions where available. For more information on benefits, please visit the benefits-summary. Equal Opportunity Employer Mobility Global is proud to be an Equal Opportunity Employer. We value diverse perspectives and are committed to fostering an inclusive workplace where everyone is respected, supported, and empowered to succeed. We provide reasonable accommodations throughout the hiring process and employment for qualified individuals with disabilities. Recruitment Fraud Alert Mobility Global will never ask candidates to pay money at any stage of the hiring process, including for applications, interviews, background checks, training, or equipment. If you receive a suspicious communication or request for payment or personal financial information, please exercise caution and report it immediately

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us! Job Description Position Summary: Plex, by Rockwell Automation, is the leading cloud‑based, multi‑tenant Manufacturing Execution System (MES), Quality Management System (QMS), and Enterprise Resource Planning (ERP) platform for manufacturers, recognized as an MES market leader by multiple industry analysts. We're looking for a Senior Product Manager for our Enterprise Platform team to own and evolve the core platform capabilities that determine how Plex connects, secures, models, and moves data across the manufacturing ecosystem. Reporting to the Group Product Manager for Platform, Data & AI , you will define the strategy and roadmap for Plex's data and integration capabilities. You will work closely with engineering, domain product teams, customers, and GTM teams to shape how Plex data is exposed and consumed by humans, systems, and agents. This is a senior product leadership role designed for a PM ready to grow into broader platform leadership responsibility. You will operate at the intersection of technical depth, customer engagement, and stakeholder influence. We are looking for someone who has earned their technical fluency, not just studied it. You have built integrations, designed APIs, implemented enterprise systems, or led API modernization initiatives at some point in your career. You bring that depth into product work to shape strategy and translate complex platform investments into clear customer and business value. Your Responsibilities Lead product vision, roadmap, and execution for Plex's Data & Integration platform, including APIs, events, IAM, integrations, and core data services; establish clear metrics for business impact. Own product strategy for enterprise customers, including prebuilt integrations, cross-cloud support, and platform capabilities large manufacturers need at scale. Lead API and integration strategy, including migration to modern REST, event-driven, and MCP-compatible interfaces. Drive platform capabilities that reduce implementation time and lower TCO, including sandbox tenant tooling, pre-built connectors, and implementation agents. Serve as primary product voice with enterprise customers and GTM teams, leading discovery, advisory conversations, executive alignment, and enablement. Collaborate with domain product teams (MES, QMS, ERP) to ensure data, events, and integration definitions support their roadmaps and reduce platform fragmentation. Lead other PMs and Business Analysts; raise the product craft bar across the group. The Essentials – You Will Have Bachelor's Degree. Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening. Ability to travel, including internationally, up to 10% of time. The Preferred – You Might Also Have Typically requires 8+ years in product management, with experience in a senior or lead PM role at a B2B SaaS company with enterprise customers. Bachelor's degree in computer science, engineering, or a related field; advanced degree a plus. Hands-on background in integration, API development, or solutions architecture; you have built or implemented something, not just managed it. Experience leading API modernization, including migration to REST, event-driven, webhook, or MCP-compatible interfaces. Strong enterprise customer engagement track record (discovery, advisory boards, executive briefings, or pre-sales) with the executive communication skills to translate customer needs into platform strategy. Demonstrated GTM experience, including messaging, launch planning, and enablement for technical platform capabilities. Experience managing or mentoring product managers, with demonstrated investment in others' growth. Experience operating across a platform PM org with multiple concurrent domains, holding areas loosely rather than one area deeply. This position requires access to technical data controlled under the International Traffic in Arms Regulations (ITAR). Applicants must be U.S. persons as defined under 22 C.F.R. 120.62, which includes U.S. citizens, lawful permanent residents, protected individuals (asylees and refugees), and individuals granted asylum or refugee status. What We Offer Health, Medical, Dental, Vision, Life & Disability Insurance 401k Paid Time off Parental and Caregiver Leave Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life. To learn more about our benefits package, please visit at www.raquickfind.com. This position is part of a job family. Experience will be the determining factor for position level and compensation. For this role, the Base Salary Compensation is from $130,160 - 195,240 USD with an annual target bonus of 8% of base salary. Our company benefits for the US can be found here. Actual pay will be based on factors such as skills, knowledge, education, and experience. At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles. We are an Equal Opportunity Employer including disability and veterans. If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (844) 404-7247.

What Makes Cloudbeds Unique At Cloudbeds , we're not just building software, we're transforming hospitality. Our platform powers hotels across 150 countries, processing billions in bookings annually. From boutique properties to large hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've continually been recognized for excellence, most recently earning top honors at the 2026 HotelTechAwards for Best Hotel Management Software and landing on Deloitte's Technology Fast 500 again, but we're just getting started. Location: Remote - the USA How You'll Make an Impact: As a Security Engineer on our Security Squad, you will fix the problems you find. Not file them. You will work inside our AWS environment and inside our application repositories, writing and shipping the changes that close real vulnerabilities. You will build the detections that tell us when something is wrong. And you will run point when an incident lands. Cloudbeds is a PCI DSS certified service provider moving real money for properties in 150 countries. This role's priority is protecting our customers and our business. Three things: vulnerability remediation across the stack, detection engineering in our SIEM, and hands-on incident response. Security here takes a cross-functional mindset. You should be comfortable talking to individuals at every level of the organization, from Engineering to Sales to Executives. Our Security Squad: We are a small, senior, globally distributed team that owns security end to end, with no handoff to a separate ops group. The person who writes the detection is the person who works the alert and the person who ships the fix. We value automation and efficiency, and we give people room to go deep on the things that actually matter. What You Bring to the Team: Find and fix vulnerabilities across our stack. Work directly in the application repositories and in Terraform, open the pull requests, and drive them to merge with the owning squads. Build and tune detections in Datadog Cloud SIEM. Own detection coverage, write the rules, cut the false positives, and map what we can and cannot see against MITRE ATT&CK. Respond to security incidents. Investigate, contain, and write the RCA, then track the remediation actions until they are genuinely closed. Harden our AWS estate. GuardDuty, Security Hub, Config, CloudTrail, KMS, Secrets Manager, IAM least privilege, and full log coverage across every account. Secure the delivery pipeline. GitHub Advanced Security, code scanning, Dependabot, secret scanning and push protection, Crowdstrike container and image scanning, and Kubernetes admission policy. Automate the repetitive work. Build workflows and scripts that triage, enrich, and remediate without a human in the loop. Write the runbooks, standards, and detection documentation engineers will actually use, and produce the technical evidence behind our PCI DSS Level 1, GDPR, and SOC 2 obligations. What Sets You Up for Success: A Bachelor's degree in a relevant field and 4 years of experience, or a minimum of 6 years of practical experience in security engineering, detection engineering, or incident response. You write code. You can read an unfamiliar application repository, reason about the vulnerability, and ship the fix as a pull request rather than a ticket. Deep AWS security experience. IAM and least-privilege design, GuardDuty, CloudTrail, KMS, VPC controls, and securing container and serverless workloads. Hands-on detection engineering in a SIEM. You have written rules, tuned them against real noise, and can explain what you deliberately chose not to alert on. Real incident response experience in cloud environments, covering investigation, containment, evidence handling, and the write-up afterward. Application security fundamentals: OWASP Top 10, dependency and secrets risk, and practical CI/CD security integration (SAST, DAST, SCA, IaC scanning). Strong written communication and diplomacy. Our teams communicate in English. You will need to win arguments with evidence rather than authority. Bonus Skills to Stand Out (Optional): Production experience with Datadog Cloud SIEM, CrowdStrike, Okta, or GitHub Advanced Security. PCI DSS Level 1 or SOC 2 experience as the engineer supporting the audit, not just as the person answering questionnaires. Kubernetes and ArgoCD security, or automation and policy-as-code with Python and Terraform. Work Authorization: Please note that applicants must be currently authorized to work in the location where the position is located without requiring visa sponsorship. At this time, Cloudbeds is unable to provide sponsorship for work visas. Depending on your skills and experience, you can expect your annual compensation to be between $120,000 and $150,000 USD . Please note that we maintain high flexibility, and packages above this range will be considered. (The salary is only for US-based candidates). Work Authorization: Please note that applicants must be currently authorized to work in the location where the position is located without requiring visa sponsorship. At this time, Cloudbeds is unable to provide sponsorship for work visas . What to Expect - Your Journey with Us Behind Cloudbeds' revolutionary technology is a team redefining what's possible in hospitality. We're 650+ team members across 40+ countries, bringing together elite engineers, AI architects, world-class designers, hoteliers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it, and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary. Learn more online at cloudbeds.com Cloudbeds Awards: Winner – Hotel Management Software | HotelTechAwards (2026) Overall 10 Best Places to Work | HotelTechAwards (2026) Overall Top 10 Hotelier's Choice | HotelTechAwards (2026) Finalist – Property Management Systems (PMS) & Channel Managers | HotelTechAwards (2026) Most Loved Workplace® Certified (2024) Deloitte Technology Fast 500 (2024) Discover our Benefits: Remote First, Remote Always PTO in accordance with local labor requirements Fully Paid Parental Leave Home office stipend based on country of residency Professional development courses in Cloudbeds University Access to professional development, including manager training, upskilling, and knowledge transfer Everyone is Welcome - A Culture of Inclusion Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard-of-hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at accommodations@cloudbeds.com. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring process. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.

Position Summary Do you want to be part of a collaborative User Experience and Conversational AI team helping to shape the future of consumer experience? As a Conversational AI Designer, you will help design and build omnichannel conversational experiences for our digital customers, including interactions for intelligent virtual assistants and chatbots. In this role, you will contribute to conversational design work under the guidance of senior designers while partnering with product, technology, research, and business teams to deliver clear, useful, and customer-centered experiences. You are A Conversational AI Designer with related, applicable experience in designing conversational AI assistants, AI agents, chatbots, and/or digital self-service experiencesf or customer-facing journeys. We expect to see your passion for creating engaging and intuitive customer experiences, along with your ability to simplify complex topics into clear conversational interactions. To be successful in this role, you will demonstrate a solid understanding of user experience practices and conversational design principles, with the ability to apply those principles to real customer problems. You can work effectively with cross-functional partners to support the development and improvement of data-driven and AI-enabled digital assistants across products and services. You should be comfortable communicating ideas clearly, asking thoughtful questions, taking feedback, and managing assigned design work with appropriate guidance. You have Required: Three or more (3+) years of previous experience as a Conversational Designer or Experience Designer of AI tools/platforms One or more (1+) years of professional experience working with chatbots, agents, virtual assistants, voice assistants, or similar digital self-service experiences Experience with to IVR, speech recognition, or other multimodal conversational channels is a plus Knowledge of conversational AI technologies and dataset elements, including LLM, NLU, NLP, ML, utterances, prompts, intents, entities, and annotations Experience with Generative AI technologies, large language models, prompt design, and emerging AI capabilities Comfortable with working with complex data sets and working with APIs Experience with, conversational AI and digital assistant platforms such as Sierra, Google Dialogflow, IBM Watson, Rasa, Kore.ai, Salesforce Agentforce, Microsoft Copilot Studio or similar tools Ability to use design and documentation tools including Voiceflow, Adobe Suite, Figma, diagramming apps, Microsoft 365 suite, and Jira Knowledge for applying omnichannel design practices and customer touchpoints including websites, mobile apps, IVR/telephony, SMS, Apple iOS, Google Android, and voice assistant devices Experience working in Agile teams and collaborating within iterative product development environments Familiarity with Design Thinking methodology A background in user experience design, customer service, content management, brand and marketing, product design, UX writing, or NLP data science You will Create conversational dialog designs, prompts, scripts, and interaction flows for human-machine conversations with guidance from senior design partners Work closely with product teams and business partners to support the planning, design, optimization, and delivery of virtual assistants in an agile development environment Partner with developers and technology teams by applying a working understanding of conversational AI platforms, design requirements, and implementation constraints Apply user-centered design methods to iterate through concepts that can be tested and validated with users Use data, analytics, and user feedback to inform design recommendations and improve conversational experiences Apply human-centered design approaches to frame problems, identify patterns, explore opportunities, and visualize possible solutions Collaborate within product teams to assess opportunities, constraints, and features while advocating for the end user and balancing business and technology needs Partner with researchers, product owners, and senior designers to participate in user research, testing, and metrics analysis that informs decisions and design improvements Continue building your knowledge of conversational AI, UX practices, information architecture, research methods, and platform capabilities, and apply that learning to assigned design work Support the measurement of design solutions by helping capture and interpret qualitative and quantitative data that informs experience improvements Reporting Relationships As a Conversational AI Designer, you will report to our Lead Conversational AI & UX Designer, who reports to our Head of Enterprise Experience Design with a dotted line to our Lead Conversational AI UX designer. organization. Location The primary location for this position is Hudson Yards, NYC, Bethlehem PA, or Holmdel NJ. and hybrid remote. Travel 10% Travel required for this position to alternate office locations. Salary Range: $81,580.00 - $122,365.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian's Purpose – to inspire well-being – we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits. Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MyHR@glic.com. Please note: this resource is for accommodation requests only. For all other inquires related to your application and careers at Guardian, refer to the Guardian Careers site. Visa Sponsorship Guardian Life is not currently or in the foreseeable future sponsoring employment-based visas (e.g., such as an H-1B). In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship/support now or at any time in the future. Notice Regarding Guardian's Use of Artificial Intelligence in Recruitment As part of Guardian's job application process, Guardian may use artificial intelligence tools ("AI Tools") to automate the sorting and filtering of information provided by applicants as part of its preliminary screening. This preliminary screening may be used to help identify applicant materials and resumes relative to their indication that the applicant meets the requirements for the specific job for which they are applying, as specified in the listing posted on Guardian's jobs website (Careers at Guardian at https://www.guardianlife.com/careers). At Guardian, we do not use AI Tools to substantially assist or replace human judgment or discretionary decision making in our hiring process. All hiring decisions will be made by Guardian colleagues. Please be aware that if you apply for a specific position with Guardian, you will have the choice of opting out of Guardian's use of AI Tools during the job application process. If you would like to request an alternative process that does not utilize AI Tools or would like to request a reasonable accommodation, within ten business days of your position application, you must email your request to MyHR@glic.com, making sure to provide your name and job requisition identification number. Guardian will retain your applicant materials and resume and all information therefrom in accordance with Guardian's document retention policy, a copy of which you may request via MyHR@glic.com. Additionally, at applicable times, Guardian will make public the most recent bias audit results for such AI tools, which may be found here. Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

AI / Prompt Engineer — Beauty & DTC Ecommerce Location: Remote (US-based, working US hours) Working Pattern: Fully remote, US hours Type: Permanent Company: Recrescere Group, supporting a beauty & lifestyle brand Recrescere Group are supporting an established beauty & lifestyle brand who are looking to speak with an AI / Prompt Engineer to build and ship AI-powered features across their direct-to-consumer ecommerce business, for a permanent, fully remote opportunity. This role would suit someone with hands-on AI / LLM engineering experience — ideally within a DTC, ecommerce or consumer/beauty brand (or an agency serving them) — who is comfortable taking GenAI features from prototype to production and wants to own AI across a growing beauty brand. The Role You will be involved in: Designing, building and shipping LLM / GenAI features across the DTC ecommerce experience — product discovery, personalisation, customer assistants and content Writing, testing and optimising prompts, and building evaluation frameworks so model outputs are reliable and on-brand Building retrieval-augmented (RAG) pipelines and integrating LLMs with the brand's product, content and customer data Developing AI agents and automations that streamline marketing, merchandising and operations workflows Integrating AI with the ecommerce / martech stack (Shopify, data warehouse, CRM, email / SMS) Standing up measurement and A/B testing to prove impact on conversion, AOV, retention and efficiency Partnering with marketing, ecommerce, creative and leadership to turn needs into AI solutions Monitoring, evaluating and improving models in production — quality, latency, cost and guardrails Helping shape the brand's AI roadmap and best practice Key Experience Required Hands-on experience building and shipping AI / LLM / GenAI features to production Strong prompt-engineering and LLM-evaluation skills Experience with RAG, embeddings, vector databases and LLM orchestration (LangChain / LlamaIndex or similar) Solid software engineering (Python) and API integration Experience in DTC, ecommerce or a consumer / beauty brand — or an agency serving them Commercial, data-led mindset, comfortable measuring impact (conversion, AOV, ROAS, retention) Able to work independently, end-to-end, on US hours Desirable Experience Familiarity with the ecommerce / martech stack (Shopify, GA4, CRM, Klaviyo / Attentive) Personalisation / recommendation systems Computer vision / image AI for beauty (virtual try-on, skin analysis) Conversational AI / customer-support assistants MLOps / cloud deployment (GCP Vertex AI, AWS, Azure) and prior startup or 0-to-1 product experience Experience with Jarvis and/or Hermes Interested? Recrescere Group are looking to speak with AI / Prompt Engineers who are open to a permanent, remote opportunity and keen to own AI across a growing beauty & DTC ecommerce brand. Please apply with your CV and we will be in touch to discuss the opportunity in more detail.

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees! As an AI Engineer on the IntentCX team, you will drive the optimization and orchestration of AI models that power T-Mobile's customer service automation. Your role will focus on enhancing model outputs by leveraging the latest in prompt engineering and optimization, fine-tuning, and agentic AI systems. You'll design advanced tools and workflows that empower AI to think, reason, and respond in ways that feel genuinely human, tackling the most complex challenges in customer service. Partnering with diverse teams across the company, you'll see your innovations move swiftly from concept to reality, directly impacting customer satisfaction and setting new standards for reliability and efficiency. This role is ideal for an LLM expert and AI systems builder who thrives on leveraging prompt engineering, retrieval-augmented generation (RAG), and function calling to improve AI-driven customer interactions at scale. We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting clarity in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! If you are passionate about driving excellence and want to make a significant impact, apply today! Responsibilities : Design and implement retrieval-augmented generation (RAG) pipelines to ground AI responses in enterprise knowledge sources. Develop AI models to enhance customer service automation capabilities with measurable improvements Apply prompt engineering and fine-tuning techniques to optimize AI system performance effectively Create AI tools that support integration of AI-driven improvements into operational frameworks Collaborate with cross-functional teams to ensure effective integration and functionality of AI systems Design AI systems that improve interaction capabilities within complex service workflows Contribute to strategic AI initiatives that advance organizational goals of customer satisfaction and efficiency Also responsible for other duties/projects as assigned by business management as needed Knowledge, Skills and Abilities : Required: Data Management/Data Modeling - Retrieval Augmented Generation (RAG); Vector Databases/Embeddings Prompt Engineering - LLM orchestration and RAG workflow design Python - LLM Orchestration Frameworks, e.g., LangChain, ADK Cloud Computing - RAG deployment, LLM application infrastructure, vector database/cloud AI services Data Analysis Model Tuning Customer-Focused Collaboration Education and Work Experience : Required: Bachelor's Degree plus 3 years of related work experience OR advanced degree plus 1 year of related work experience. Acceptable areas of study include Computer Science, Engineering, Artificial Intelligence, Data Science. 2+ years developing and deploying machine learning models, including fine-tuning and prompt engineering. 2+ years experience with AI tools and software development using programming languages such as Python or R. 2+ years collaborating with cross-functional teams to integrate AI solutions into business workflows. Licenses and Certifications : Certified Analytics Professional (CAP): Certification that validates an individual's expertise in data analytics processes, including the ability to model and interpret complex data. (Preferred) Machine Learning Certification: Certification demonstrating proficiency in machine learning techniques and applications, relevant for developing AI models. (Preferred) Certified Data Scientist (CDS): Certification that endorses skills in data science and its application in AI modeling, crucial for enhancing AI-driven customer service solutions. (Preferred) At least 18 years of age Legally authorized to work in the United States Travel : Travel Required (Yes/No): No DOT Regulated : DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No The pay range below is the "National Pay Range" and does not reflect the actual range for the locations listed. Please click on the link at the end of the second paragraph below to see the "actual" pay range for each location. Total Target Cash Earnings Opportunity: $126,730 - $228,505 National Base Pay Range: $110,200 - $198,700 The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results. The base pay range reflects the compensation component of this opportunity. The candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. To find the pay range for this role based on hiring location, copy and paste this link into your browser: https://paylookup.t-mobile.com/paylookup?reqID=REQ371910 At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Corporate employees are eligible for a year-end bonus based on individual and/or company performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary. At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com . Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder–it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth–and we applaud it. You're unstoppable! T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, genetic information, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated. Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

Warp: We're Building the Platform for Agentic Development Warp began with the vision of reimagining one of the fundamental dev tools, the terminal, to make it more usable and powerful for all developers. As AI has advanced, Warp has evolved beyond its terminal roots into a full agentic development environment: a workbench for dispatching agents to code, deploy, and debug production software. Today, we have three products. Warp is the agentic development environment born out of the terminal, built on an orchestration platform for running hundreds of cloud agents in parallel. And Warp Factories is our newest product: infrastructure for engineering teams to build and run their own cloud software factories, where fleets of agents triage, spec, implement, review, and verify code across a company's entire SDLC. Together, these products are creating the scaffolding for developers to build their own workflows for working with agents. In Warp, you can seamlessly switch between running commands, launching agents, and iterating on code with agents, eliminating the need to jump between a terminal and an IDE. It all works with our built in SOTA agent or top agents like Claude Code, Codex, Gemini CLI, and OpenCode. On the orchestration side, you can build custom agents that are triggered programmatically, tracked centrally, and shared across full teams to run agents across organizations without compromising security or reliability. Continue a cloud agent run locally in Warp or on the web with one click. And with Warp Factories, teams can go a step further and set up entire automated workflows around their SDLC, retaining full control over their data, models, and compute along the way. With over 1 million active developers at companies including Docker, Ramp, and Peloton, and over half of the Fortune 500, and revenue that grew over 44x last year, Warp is one of the fastest growing startups in the AI development space. Our mission has remained the same even as AI has advanced: to empower developers to ship better software more quickly, freeing them to focus on the creative and rewarding aspects of their work. If you want to help define what development looks like in the agentic era at a company where your work reaches hundreds of thousands of engineers every day, we'd love to have you. For more information on our team and culture, we highly recommend reading our' How We Work' guide. Why this role? Warp is hiring an Analytics Engineer to join the data team. This role is at the center of how we understand our product, users, and business. You'll work across every function at Warp: product, engineering, growth, revenue, and go-to-market. Warp is a fast-growing AI developer tool. Our data footprint reflects that growth — we ingest telemetry from our apps and servers, LLM conversational data, transactional production databases, GTM pipelines, and a range of third-party sources. Your job is to turn that raw data into the reliable metrics and deep insights that drive real decisions. This isn't a role where you slot into an existing system. You'll own the data model, define how we measure what matters, and set the standard for how analytics gets done at Warp. That means building durable infrastructure and shipping high-impact analysis — often at the same time. If you want to shape how a company at scale thinks about its data from the ground up, this is that role. As an Analytics Engineer, you will... Role This is a full-stack data role that moves across the data stack and touches all parts of Warp's business. Your work will fall into three broad areas: Operations Define, build, and visualize core product and business metrics Design and analyze A/B experiments to measure the impact of product changes Adapt data models to support new product features, pricing models, and business initiatives Partner with GTM teams to surface product-qualified leads, measure engagement, and support billing and revenue analytics Infrastructure Build and maintain canonical data models that serve as reliable sources of truth Write production ETL to ingest new data sources and reverse-ETL to push data to downstream consumers Develop AI agents to automate pieces of the data team's workflows Establish data quality monitoring and reliability standards Build tooling that enables self-serve analytics across the company Research Conduct deep ad-hoc analysis to understand user behavior, model business mechanics, and uncover growth opportunities Dig into questions like: How does Warp expand within companies? What is the optimal pricing structure? How do we identify potential enterprise leads? What characteristics of AI interactions drive churn? You May Be A Good Fit If... You have 6+ years of experience in an analytics-focused data role You're highly fluent in SQL and dbt on top of a modern warehouse like BigQuery, Snowflake, or Redshift You've built dashboards and visualizations with BI tools like Hex, Looker, Mode, Tableau, or Metabase You care deeply about the business decisions your data informs—not just building the pipelines behind them You balance business intuition with an engineering mindset: writing efficient, scalable queries; thinking about cost and compute across the data stack; and working with version control, CI/CD, and testing You have a bias for action and are comfortable operating with autonomy—you can identify opportunities across the company and proactively build solutions You're an effective and creative communicator who can translate complex analysis into actionable insights for stakeholders with varying levels of data fluency You're deeply curious—when a metric moves unexpectedly, you dig until you understand why You've integrated AI into your daily workflows; at Warp we lean heavily on agents to accelerate and automate our work Bonus Experience with the GCP data stack (GCS, BigQuery, Dataflow, Dataproc) Production-grade experience with Python Experience on a data team at an early-stage startup Familiarity with Warp's platform At Warp, we are dedicated to building a diverse, inclusive, and authentic workplace. So if you're excited about this role, but your past experience doesn't align perfectly with every qualification in this job description – we encourage you to apply anyways! We are a community of curious learners, and most of us are learning some skills for the first time (like our engineers learning to program Warp in Rust). You might be just the right candidate for this or other roles. If you're feeling playful, try out our optional hiring challenge and submit your answers with your application: https://github.com/warpdotdev/hiring-challenge Salary Transparency Warp operates from a place of high trust and transparency around compensation. We state the pay range that best aligns with our understanding of the market and the needs for the open role. When we find the right person, we try to put our best foot forward with an offer that excites you. We consider your skills, the level of experience you bring, and what similar jobs in the market pay, all while ensuring equal pay for equal work at Warp. Total compensation at Warp consists of: (1) a market-competitive base salary, (2) a generous benefits package, and (3) meaningful equity. The budgeted compensation amount for this role is targeted at $180,000 to $210,000 . Exact Compensation Will Vary Based On Skills And Experience. In addition to salary, all employees receive further compensation in the form of equity in the company. This is a meaningful stock option grant with a four-year vesting period and one-year cliff. Your equity is where most of the significant upside potential is. Comparing startup equity is always a bit tricky, so we're happy to walk you through different valuation scenarios at the offer stage in order to help paint a clearer picture of the upside. What We Offer Competitive salary, generous benefits, and meaningful equity 100% coverage on medical, dental, and vision benefits for employees (80% coverage for dependents) A flexible remote-first culture, with optional office spaces in NYC and SF for folks who want to work together IRL Pre-tax FSA and Health Savings Plans Pre-tax Commuter Benefit 12 company holidays, 20 days of Paid Time Off, and unlimited sick time 16 weeks of paid Parental Leave for both birthing and non-birthing parents Twice-a-year all company retreats in awesome locations A monthly gym and internet stipend A company-sponsored 401(k) A complimentary OneMedical membership Individuals seeking employment at Warp are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. About Warp We are a company run by product-first builders, building a core product for all developers. We are committed to understanding our users deeply. We will ultimately build the best product and business if that team includes developers and designers from a wide range of backgrounds. The early team comes from Google, Dropbox, Gem, LinkedIn, and Facebook. We are looking for passionate individuals to join us and help bring Warp to the world. We value honesty, humility, and pragmatism, and our core product principle is focusing on the user. If you're interested in learning more about our company values and the culture of our engineering team, please take a look at our internal 'How We Work' guide. We're very fortunate to be backed by a great group of venture capital firms. In August 2023, we announced a $50M Series B funding round ($73M total raised), led by Sequoia Capital. Our other investors include Google Ventures, Neo, and Box Group. We are also backed by a network of passionate angels, including Dylan Field (Co-Founder and CEO, Figma), Elad Gil (early investor in Airbnb, Pinterest, Stripe, and Square), Jeff Weiner (Executive Chairman and Ex-CEO, LinkedIn), Marc Benioff (Founder and CEO, Salesforce), and Sam Altman (Co-Founder & CEO, OpenAI). The Product Here's our latest demo showing some of our current features…

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us. Get To Know Our Team: The Data department oversees all of Agoda's data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. The Opportunity: As a Senior/Staff Data Engineer in CEG (Customer Experience Group) , you will help design, build, and maintain the data and software foundations that power how CEG Business users serves customers and agents across all contact channels. You will work closely with Product, Operations, Analytics, Operations Efficiency, WFM, DevOps and engineering teams to deliver reliable data pipelines, scalable models, internal tools, and clear insights that improve customer experience and operational efficiency. You are comfortable switching between engineering work (pipelines, data models, internal services, tooling, optimization) and analytics work (business questions, dashboards, deep‑dive analysis). You can talk to both engineers and business stakeholders in simple, clear language. At the Staff level , you will also shape CEG's data and tooling strategy, influence cross‑team architecture, and raise the overall engineering and data bar for the team. What You'll Do: Data Engineering Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems (case management, telephony, chat, bots, QA tools, WFM, CRM) and third‑party tools and logs. Develop and optimize data models (e.g., warehouse tables, marts, views) that power CEG reporting, monitoring, forecasting, QA, and experimentation. Ensure data quality, reliability, and observability: Implement validation checks, anomaly detection, and monitoring for key CEG datasets and metrics. Work with stakeholders to define and enforce data definitions, SLAs, and ownership for critical tables and metrics. Improve performance and cost efficiency of data jobs and queries (e.g., partitioning, indexing, query tuning, storage format optimization) for high‑volume CEG data (calls, chats, emails, cases, events). Collaborate with data platform and engineering teams to standardize tooling and best practices (e.g., version control, CI/CD for data and services, code review, documentation, runbooks). Data Tools & Product Development Design and build data tools and internal products for CEG (e.g., self‑service analytics, case monitoring dashboards, alerting systems, investigator tools, QA/review tools, agent performance views). Use languages such as Python, Java, Golang, or JavaScript/TypeScript to implement APIs, data services, and lightweight UIs that expose data in a usable way to agents, managers, and operations teams. Work closely with CEG product managers and operations to translate operational pain points into concrete data tools, from problem framing to delivery and iteration. Apply solid software engineering practices—testing, code reviews, CI/CD, observability—to data products so they are reliable, maintainable, and easy to extend. At Staff level, define and drive the roadmap for key CEG data tools and platforms, ensuring reuse across regions, lines of business, and channels. Data Analytics & Business Impact Partner with CEG product and business teams to translate questions into data problems and design clear analytic approaches. Build and maintain dashboards and reports (e.g., contact volumes, handling time, quality, customer outcomes, agent performance, spot alerts) that provide reliable metrics and self‑service access to data. Perform deep‑dive analysis to understand trends in contact patterns, customer issues, agent performance, and operational efficiency; identify root causes and propose practical, data‑driven recommendations. Define and maintain metrics and KPIs (e.g., CSAT, NPS, SLA, AHT, FCR, quality scores), ensuring consistent definitions across CEG teams and tools. Communicate findings in simple, business‑friendly language, including clear implications and recommended next steps. Stakeholder & Team Collaboration Act as a trusted data partner for CEG stakeholders (operations leaders, product managers, WFM, QA, training, policy, and regional leadership). Work with other data engineers, analysts, and scientists to align on data standards, reusable components, and shared datasets for CEG. Mentor junior and mid‑level team members on data engineering, analytics, and software engineering best practices. Contribute to continuous improvement of team workflows (code reviews, testing, documentation, runbooks, knowledge sharing, incident reviews). At Staff level, influence cross‑team architecture and ways of working, making sure CEG's data ecosystem scales with business growth. Required Qualifications: 8+ years working as a Data Engineer, Analytics Engineer, or Data Analyst in a data‑driven environment (Staff level typically 10+ or equivalent scope/impact). Strong SQL skills (complex joins, window functions, aggregation, query optimization). Experience with at least one major data warehouse / big data technology (e.g., BigQuery, Snowflake, Redshift, Hive, Spark, Vertica, StarRocks, or similar). Solid experience with ETL/ELT tools or orchestration frameworks (e.g., Airflow, dbt, internal frameworks). Proficiency in at least one programming language for data and services (e.g., Python, Java, Golang, Kotlin, or JavaScript/TypeScript). Experience building production‑grade data pipelines and/or data services with attention to quality, monitoring, and maintainability. Experience with BI / visualization tools (e.g., Tableau, Power BI, Superset, Metabase, Looker). Strong analytical thinking: comfortable framing business questions, exploring data, and turning results into clear insights. Ability to communicate complex topics in simple, concise language to non‑technical stakeholders. Preferred Qualifications: Experience with event‑driven data (logs, clickstream, customer journey, contact flows, tracking data). Knowledge of data modeling techniques (e.g., dimensional modeling, Kimball, data vault, star/snowflake schema). Experience with A/B testing, experimentation platforms, or causal analysis. Familiarity with ML pipelines or working with data science teams (e.g., routing models, QA scoring, forecasting, recommendations). Experience in online consumer products, travel, e‑commerce, or marketplaces. Hands‑on frontend or backend development experience (e.g., building internal tools in React/Next.js, Node.js, or similar frameworks) used by operations or support teams. Prior experience in a Staff or Tech‑Lead role, driving technical direction and mentoring multiple engineers/analysts. #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover More About Working At Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/ LinkedIn https://www.linkedin.com/company/agoda YouTube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About National At National Corporate Housing, we turn complex temporary housing challenges into comfortable, seamless solutions. Since 1999, we've delivered customized corporate housing and 360-degree services to clients around the world — the behind-the-scenes team that makes relocations, assignments, and travel feel like home. We move fast, we care about the details, and we rely on good data to do it well. The role We're looking for an Analytics Engineer who is equally comfortable building the pipes and building the reports. You'll sit at the center of our data — modeling it, moving it, and turning it into the dashboards our teams use every day. If you love writing sharp SQL, shaping clean data models, and shipping Power BI reporting that people actually trust, you'll fit right in. This is a genuinely blended role: roughly half your time is spent building and maintaining the data foundation, and half is spent delivering the analytics and reporting on top of it. You'll work closely with our operations, sales, and finance teams to understand what they need and give them answers they can act on. What You'll Do Write, tune, and maintain performant SQL to transform raw data into clean, well-documented models teams can rely on. Design and build Power BI datasets, reports, and dashboards — and keep them accurate, fast, and easy to use. Own data quality: validate sources, catch issues early, and build the checks that keep numbers trustworthy. Partner with operations, sales, and finance to translate business questions into data models and reporting. Build and maintain data integrations — pulling from source systems and automating the flows that feed reporting. Document your models, metrics, and definitions so the whole company shares a single source of truth. What You Bring (required) 3–5 years of experience in analytics engineering, BI development, data analysis, or a similar data-focused role. Strong SQL. You write clean, efficient queries and are comfortable with joins, window functions, and data modeling. Strong Power BI. You build data models, DAX measures, and polished, reliable dashboards — not just charts. A builder's mindset: you care about accuracy, documentation, and making data usable for non-technical teammates. Clear communication and the ability to work independently in a remote, collaborative environment. Bonus Points (preferred) Microsoft ecosystem. Experience working in a Microsoft-centered technology environment, particularly with Microsoft SQL Server and the broader Microsoft data and application ecosystem. .NET applications. Familiarity with .NET applications and architectures, including the ability to understand how application data is structured, generated, and exposed for integrations and reporting. Azure integrations. Hands-on experience building integrations and automated data flows using Azure services such as Azure Data Factory, Azure Logic Apps, Azure Functions, and APIs or webhooks. NoSQL data stores. Experience working with Azure Cosmos DB or other NoSQL data stores, and modeling that data for analytics and reporting. Salesforce schema. A working understanding of the Salesforce data model — objects, relationships, and how to pull and model CRM data reliably. Familiarity with version control (Git), data warehousing concepts, and modern ELT tooling. Experience in hospitality, real estate, travel, or another operations-heavy industry. Why you'll love it here You'll join a company that treats people as the difference-maker and gives you the ownership to do your best work. We offer competitive compensation, comprehensive benefits, and a fully remote setup with a team that genuinely has your back. Your work won't sit in a drawer — the data you build powers real decisions across the business every day. Benefits Competitive Salary $92,500-$105,000 Base Salary Medical, dental, and vision insurance options 401k plan with discretionary match Company paid life insurance, short term disability, and long term disability Supplemental life insurance, critical illness, accident, and identity theft protection Inclusive Awards and Recognition Program Vacation, sick, and floating holidays Paid time off Paid volunteer time Wellness program Complimentary use of corporate apartments for vacation or travel (when available) National is a drug & alcohol-free workplace. Please note that we conduct a background check and 5 panel drug screen after a contingent offer has been made. Additional Information Fair Labor Standards Act (FLSA): Exempt Will not provide assistance with relocation costs National Corporate Housing is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.