About Arango At Arango we're on a mission to make working with complex data simple, powerful, and AI-ready. Based in California and in Cologne (with a global team), we’re building a cutting-edge data platform that helps organizations bring all their data together — graph, document, key/value, full-text, and vector search — in one engine. Why does that matter? Because it means developers and data teams can build next-gen AI applications like RAG, knowledge graphs, and smart agents — without gluing together a bunch of tools that were never meant to work together. Our platform makes it easy to work with any kind of data-structured, semi-structured, or unstructured, and it gives teams everything they need to build faster, smarter, and with way more context. From our easy-to-learn AQL query language to modern integration tools, we’re here to help teams grow and scale with AI. Sounds exciting? We think so too. Come join us and help shape the future of data. Location: Central Timezone Only candidates located in the Central Time Zone (U.S.) will be considered for the position. While this is a work-from-home role, some travel to client locations will be required. You Will: - Craft and deliver outstanding technical presentations and architecturally sound demonstrations of Arango and its GenAI suite for clients. - Deliver demonstrations, drive Proof of Concepts/Technology (PoCs/PoTs) with prospects and customers, often in comparison to other (NoSQL) database technologies and other Machine Learning/AI enterprise solutions. - Utilize existing skillset and acquired Arango knowledge to build functional demos for various use cases that incorporate the core database as well as GenAI capabilities. - Evangelize Arango’s GenAI suite & core DB to prospects and potentially in 3rd party presentations and panel discussions designed to generate awareness. - Solve technical problems of our (potential) clients with the best solution. - Work closely with the Sales team in the US and Europe, participating in client meetings. - Contributions and feedback on technical whitepapers, conduct seminars, assist with trade shows, and other marketing-related events in this area - Communicate with and contribute to the worldwide Arango community. - Other duties as assigned from time to time. Your Skills: - Bachelor's degree in Computer Science or relevant experience - 5+ years of experience in a technical sales or consulting capacity with enterprises, focusing on AI solutions, databases, data warehouses, big data systems, analytics, and machine learning. - Technical understanding of data and AI/ML tooling, workflows, and trends in an enterprise setting - Experience or knowledge of vector, NoSQL databases, and/or distributed database systems - Experience building and integrating LLMs, extra points for Retrieval-Augmented Generation (RAG) systems - Strong Architecture skills - ie, mapping a business to technical requirements and understanding multiple components to build a solution - Proficiency in Python and SQL - Working knowledge of Graph analytics/data science algorithms, ML tasks like Node Classification, Node Similarity, Link Prediction, and related concepts. - Knowledge of key infrastructure stacks (AWS, Linux, Docker, Kubernetes, etc.) - Experience with various operating systems (Linux, Windows), cloud, and data storage - High-energy, upbeat, tenacious team player with outstanding interpersonal skills - Others would describe you as a self-starter and a perpetual learner - Strong understanding of the sales process - Fluent in English, both verbal and written Extra points for: - Experience with Graph databases or frameworks Why Join Arango Our headquarters is in San Francisco (US) and we have an office in Cologne (Germany), but most of our diverse team works remotely worldwide. So, do you prefer your desk at home or do you want to join us at one of our locations? Your choice. The Arango team comes from 5 different continents and more than 20 countries. Diverse backgrounds enable us to see new solutions. We invite people from every culture, national origin, religion, sexual orientation, gender identity or expression, and of every age to apply to our positions. All employment decisions are based on business needs, job requirements, and individual qualifications. Arango is committed to a workplace free of discrimination and harassment based on any of these characteristics. We love this diversity and encourage everyone curious and visionary to join the multi-model movement.

Req ID: 365076 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Agile Transformation Coach to join our team in Arlington (REMOTE), Virginia (US-VA), United States (US). Job Summary: NTT DATA is seeking an Agile Transformation Coach to accelerate a transition from a traditional Waterfall SDLC approach to a modern delivery model incorporating Agile, Scrum, Kanban, DevOps, and DevSecOps practices. This role will champion Agile adoption and enable measurable outcomes by coaching, guiding, and empowering self-directed application development teams. The Agile Transformation Coach will partner with stakeholders at all levels, remove barriers, and foster a culture of continuous improvement. If you are motivated to help others succeed while continuously improving, learning new practices, and advancing delivery efficiency and effectiveness, this is an excellent opportunity for you. Job Duties: - Mentor Scrum Masters, Product Owners and team members on Agile principles, Scrum practices, team dynamics, and facilitation techniques - Coach executives and stakeholders to align expectations and roles within an Agile operating model - Build coalitions across business lines and job functions in a matrixed organization - Translate client insights into actionable team direction, working with leadership and Product Owners to prioritize features based on business value - Guide teams through positive change by adopting tools, technical practices, and process improvements that highlight the value of Agile feedback loops within a delivery workflow. - Act as a hands-on partner and coach, providing real-time advice and support as teams navigate and overcome challenges - Drive continuous improvement by promoting Agile engineering practices, enhancing communication, and building collective team skills and capabilities Additional Duties: - Develop, track, and report delivery and transformation metrics for stakeholders - Coach, mentor, and train junior and mid‑level delivery team members - Design and deliver targeted technical and Agile training programs aligned to business needs - Support the development of technology‑specific solutions - Manage task scope with respect to budget, resourcing, and geographic considerations - Lead implementation and enhancement of service delivery - Support the sales organization in pre‑sales activities, including solutioning and proposal support - Identify opportunities for innovation and improved ways of working Basic Qualifications: - Minimum 10 years of experience in information technology - Minimum 8 years of experience in Agile coaching, training, or Agile team leadership - Minimum 5 years of experience with Kanban practices and implementation - Minimum 5 years of experience with the Atlassian tool suite (Jira, Confluence, and relevant plug‑ins) - Minimum 3 years of hands‑on DevOps experience, including test‑driven development, unit testing, trunk‑based development, and source‑control configuration - Ability to obtain a Public Trust Suitability Determination Preferred Qualifications: - Bachelor’s degree in Computer Science, Information Technology, or related field. - Experience coaching and training teams in Git source control, dashboard design and development, automated testing concepts, and continuous delivery practices - Experience working across multiple departments to coordinate and support the orderly execution of strategy and direction - Experience presenting and advocating for the benefits of Agile ways of working and a DevOps culture to diverse audiences - Experience evaluating, experimenting with, and adopting emerging technologies, and sharing insights with others - Exceptional organizing and planning skills to manage and oversee project deliverables - Genuine desire to help others succeed Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $105,840 - $245,000. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

• Architect and implement marketing automation workflows using tools like Customer.io, Make.com, or HubSpot with AI agent triggers • Integrate AI agents to support lifecycle touchpoints from lead capture and email composition to campaign reporting and churn prediction • Build and maintain intelligent workflows across paid, organic, and lifecycle channels • Help prototype and deploy lightweight internal AI agents using frameworks like LangChain, CrewAI, or Autogen • Define data flows and context windows that allow agents to act intelligently across CRM, analytics, support, and campaign data • Connect AI agents to company tools • Set up and manage marketing event tracking across all surfaces • Own end-to-end attribution, funnel tracking, and customer journey analysis • Build dashboards and reports that support fast experimentation and insight-driven decisions • Extend and customise CRM, CMS, landing page tools, and campaign platforms • Create internal tools and helper scripts in Python or Node.js to automate workflows and reduce manual effort for go-to-market teams • Maintain and evolve API, webhook, and data pipeline integrations across all marketing systems • Work closely with Product, Engineering, and Growth to ensure AI agents and automations have the right access, triggers, and feedback loops • Act as the internal champion for automation-first thinking across departments • Help define the roadmap for broader AI agent rollout to other functions

• Define the project's technical strategy, developing and communicating a clear, strategic vision for the application of Machine Learning, Artificial Intelligence, and Data Science within the institution; • Guide the development of advanced models, supervising the team in creating statistical and machine learning models using modern, advanced techniques; • Design and implement architectures for innovative solutions on Network as a Service (NaaS) platforms, focusing on integrating AI and ML techniques; • Conduct in-depth studies and analyses of architectures, data, platforms, and AI/ML tools, providing valuable insights to support decision-making; • Prepare comprehensive strategic and technical documentation for proposed and adopted solutions, ensuring project understanding and traceability; • Lead the QA team, providing guidance and support to ensure the reliability and robustness of implemented solutions; • Perform proactive technical reviews, examine developed code, and ensure it complies with technology best practices while promoting continuous improvement; • Act as a knowledge multiplier, providing technical support and mentorship to colleagues and fostering team development.