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Senior Data Scientist / Machine Learning Engineer Price Intelligence Demand Optimization 我們正在尋找一位兼具 數學能力、程式能力與商業思維 的 Senior Data Scientist / Machine Learning Engineer，負責打造一套從 0 到 1 的 Price Intelligence System。 這不是一個只停留在研究階段的模型開發職位。我們希望你能打造真正落地、可規模化、能驅動商業決策的演算法系統，協助企業在超過 50,000+ SKU 的商品組合中，進行大規模、自動化、即時化的價格決策。 你將參與一套由 15+ 個互相串接的模型 組成的 Price Intelligence Ensemble System，涵蓋需求預測、價格彈性、促銷成效、庫存優化、異常偵測與多目標最佳化等核心模組。 工作內容 1. 建立 Price Intelligence Ensemble System 你將參與設計並開發一套由多個模型組成的價格智慧系統，包括： Demand Forecasting 需求預測 Price Elasticity Modeling 價格彈性模型 Promotion Impact Modeling 促銷成效模型 Inventory Optimization 庫存最佳化 Meta-Learning / Ensemble Decision Engine Real-Time Anomaly Detection 即時異常偵測 你需要能夠理解模型之間的依賴關係、資料流、特徵工程、模型選擇、訓練流程與執行順序。 2. 開發 SKU-Level Demand / Pricing Models 你將建立能夠在 SKU 層級預測需求、庫存與價格反應的模型，並納入以下因素： Seasonality 季節性 Promotion Lift 促銷拉動效果 Macroeconomic Factors 總體經濟因素 Weather Patterns 天氣影響 Product Lifecycle 商品生命週期 Competitive Pricing 競爭價格 Inventory Velocity 庫存流速 相關模型可能包括： ARIMA / Prophet LightGBM / XGBoost Bayesian Models Hierarchical Models Causal Inference Models PyTorch-based models 3. 解決多目標最佳化問題 你將開發能夠平衡多個商業目標的最佳化模型，例如： Maximizing Revenue 提高營收 Maintaining Gross Margin 維持毛利 Clearing Seasonal Inventory 清理季節性庫存 Competitive Positioning 維持市場競爭力 Promotion Efficiency 提升促銷效率 你需要能夠將商業限制、價格防護條件、庫存壓力與營運規則整合進模型，形成可落地的價格決策引擎。 4. 建立即時異常偵測與促銷監控系統 你將開發 streaming / real-time models，監控促銷活動期間的實際銷售表現，並在銷售結果與預測落差過大時，提供即時決策訊號，例如： Deepen Promotion：加深折扣或擴大促銷 Throttle Promotion：降低促銷力度或停止活動 Inventory Risk Alert：庫存風險提醒 Margin Risk Alert：毛利風險提醒 5. 將模型部署到 Production Environment 你需要撰寫乾淨、可維護、可擴展的 Python 程式碼，並與工程團隊合作，將模型部署到 production pipeline。 技術環境包含： Python pandas / NumPy / scikit-learn PyTorch BigQuery Vertex AI Cloud Run AlloyDB Pub/Sub / Dataflow / Kafka SQL / PySpark Poetry 系統需要滿足即時或近即時的 latency 要求，例如 100ms 到 500ms。 必備條件 7 年以上 Data Scientist / Machine Learning Engineer 經驗 具備統計、數學、經濟、物理、運籌、工程或相關量化領域背景 熟悉 price elasticity estimation、demand curve modeling 或 demand forecasting 熟悉 time-series forecasting 方法，例如 ARIMA、Prophet、LightGBM、XGBoost 熟悉 Python 生態系，包括 pandas、NumPy、scikit-learn、PyTorch 具備進階 SQL 能力，能處理大型資料集與複雜分析查詢 理解 Bayesian methods、hierarchical models、causal inference 或 uncertainty quantification 有能力將模型從 research prototype 推進到 production pipeline 能與工程、產品、商業團隊溝通模型邏輯與商業影響 加分條件 有 e-commerce、retail、fashion retail、pricing 或 revenue management 經驗 有 price optimization、demand elasticity、markdown optimization 經驗 曾開發 multi-model ensemble system 或複雜 ML 系統 熟悉 GCP：BigQuery、Vertex AI、Cloud Run、Pub/Sub、Dataflow 熟悉 real-time ML / streaming architecture 有 apparel / fashion retail 商品生命週期、季節性促銷、庫存管理經驗 熟悉 competitive pricing intelligence、web scraping、price index monitoring、KVI strategy 有 SaaS product 或 internal pricing tool 開發經驗 具備 computer vision / apparel feature extraction 經驗 熟悉 PyTorch CNN architecture，能夠修改或訓練 vision models 我們希望你是這樣的人 你不只是會訓練模型，而是能夠理解模型如何真正影響商業結果。 你能夠在以下目標之間做出平衡： 營收 vs. 毛利 折扣深度 vs. 庫存去化 預測準確度 vs. 系統延遲 模型複雜度 vs. 可維護性 商業彈性 vs. 統計嚴謹性 你需要能夠向非技術主管清楚解釋，例如： 「為什麼這個 markdown depth 雖然折扣較深，但能在指定期間內最大化總毛利回收？」 適合你的原因 這個職位適合想要挑戰以下任務的人： 從 0 到 1 建立 Price Intelligence System 參與大規模 SKU pricing decision engine 的設計 將 machine learning、statistics、optimization 與真實商業場景結合 建立能實際影響營收、毛利與庫存決策的 production-grade ML system 與產品、工程、商業團隊共同打造可規模化的 AI pricing platform 技能關鍵字 Python、Machine Learning、Data Science、Price Optimization、Demand Forecasting、Price Elasticity、Time Series Forecasting、Bayesian Modeling、Causal Inference、PyTorch、LightGBM、XGBoost、BigQuery、Vertex AI、GCP、SQL、PySpark、Optimization、Retail Analytics、E-commerce、Inventory Optimization、Anomaly Detection、Computer Vision

外商軟體龍頭【外商軟體龍頭【Data Engineer】】，歡迎想挑戰在多元化，與全球同事合作的團隊中，追求快速成長環境的你應徵。 Reponsibilities: Dashboard/System Design and Development: 1. Design and build intuitive, user-friendly dashboards and analytical systems utilizing Looker Studio, BigQuery, and SQL. 2. Translate business requirements into effective data models that support strategic decision-making. 3. Apply Python programming skills to streamline data process, automate tasks, and enhance analysis. Data Expertise: 1. Demonstrate strong proficiency in SQL querying to extract, manipulate, and transform complex datasets. 2. Ensure data integrity and accuracy throughout the analysis process. 福利 ★ 外商工作環境及休閒設備，備有餐點/零食 ★ 第一年即享優於勞健保年假 ★ 加保團體保險 ★ 佳節小禮

職務內容（Responsibilities） 分析行銷與銷售數據，包含廣告成效、會員行為、轉換率、回購率等 對虛擬客服對話資料做文字／語意分析，提取客戶問題類型、反饋趨勢與滿意度指標 分析實體商店的人流量變化與顧客行為（進店／停留時間／熱點區／動線分析） 建立與維護 Dashboard，以視覺化方式呈現 KPI、行銷 ROI、客戶分類等指標 與行銷／業務／操作團隊合作，提出優化建議並參與 A/B 測試或活動效果評估 （加分）串接 CRM 或客戶資料庫以做個人化推播或忠誠顧客辨識 條件要求（Requirements） 擅長使用 Excel / SQL / Python 或 R 分析工具 熟悉資料視覺化工具，如 Tableau、Power BI 或類似儀表板工具 有行銷或業務數據分析經驗者佳，尤其有做過客戶對話分析或實體人流分析者更佳 能撰寫簡報給管理層／非技術人員，清晰傳達分析結果與建議 工作態度主動，對數據敏感，有邏輯思考能力 待遇與條件 全職／兼職／實習皆可（視需求） 薪資範圍根據經驗與能力而定 工作地點：可遠端 / 台北市 /與公司協商 加分條件：熟悉 NLP /語意分析、熟悉客流偵測技術、有人流計算或熱點分析經驗

在 Canner，我們正在打造突破性的 AI 與數據基礎架構解決方案，讓數據不再只是靜態資產，而是企業決策的核心動力。加入我們的研發團隊，你將參與開發和推動 Wren AI (https://github.com/Canner/WrenAI)。 Wren AI 是 Canner 的旗艦開源專案，讓大型語言模型 (LLM) 能夠直接查詢企業數據，為 AI Agent 提供精確的語意查詢能力。我們的開源庫已連續數週蟬聯 GitHub Top Trending，目前累積將近 10k+ 顆星，成為全球主流的 GenBI 解決方案。這代表了全球開發者對這項技術的高度認可與需求。 如果你熱衷於數據基礎架構、查詢引擎及大規模 AI 應用的開發，這將是參與業界最前沿技術發展的絕佳機會。 職責 (Responsibilities) 設計與開發 Wren AI 與 Wren AI Service參與核心語意查詢引擎開發，透過 LLM 打造 生成式 AI 應用 (Gen AI app)，提升 AI 在數據查詢與分析上的精確度與實用性與數據團隊和前端團隊合作，將 Wren AI 整合到實際應用場景中，驅動更強大的 AI 解決方案。開源專案維護與推廣積極參與並推廣 Wren AI 開源專案，處理社群反饋與技術問題，與全球開發者社群保持互動。協助開源社群解決使用上的問題，並將關鍵反饋回饋給內部研發團隊，推動產品迭代與優化。跨部門合作與 Data Team 與 Web Team 緊密合作，參與從數據查詢引擎到前端應用的全流程開發與部署，確保 AI 服務的穩定性與可擴展性。技術探索與創新保持對 LLM 技術的高度敏感度，積極探索最新的 AI 技術趨勢 (如 RAG 模型或大型語言模型微調)，並思考如何將其應用於實際業務場景，設計更智能、更好用的 AI 功能。

在 Canner，我們正在打造突破性的 AI 與數據基礎架構解決方案，讓數據不再只是靜態資產，而是企業決策的核心動力。加入我們的研發團隊，你將參與開發和推動 Wren AI (https://github.com/Canner/WrenAI)。 Wren AI 是 Canner 的旗艦開源專案，讓大型語言模型 (LLM) 能夠直接查詢企業數據，為 AI Agent 提供精確的語意查詢能力。我們的開源庫已連續數週蟬聯 GitHub Top Trending，目前累積將近 10k+ 顆星，成為全球主流的 GenBI 解決方案。這代表了全球開發者對這項技術的高度認可與需求。 如果你熱衷於數據基礎架構、查詢引擎及大規模 AI 應用的開發，這將是參與業界最前沿技術發展的絕佳機會。 職責 (Responsibilities) 設計與開發 Wren AI 與 Wren AI Service參與核心語意查詢引擎開發，透過 LLM 打造 生成式 AI 應用 (Gen AI app)，提升 AI 在數據查詢與分析上的精確度與實用性與數據團隊和前端團隊合作，將 Wren AI 整合到實際應用場景中，驅動更強大的 AI 解決方案。開源專案維護與推廣積極參與並推廣 Wren AI 開源專案，處理社群反饋與技術問題，與全球開發者社群保持互動。協助開源社群解決使用上的問題，並將關鍵反饋回饋給內部研發團隊，推動產品迭代與優化。跨部門合作與 Data Team 與 Web Team 緊密合作，參與從數據查詢引擎到前端應用的全流程開發與部署，確保 AI 服務的穩定性與可擴展性。技術探索與創新保持對 LLM 技術的高度敏感度，積極探索最新的 AI 技術趨勢 (如 RAG 模型或大型語言模型微調)，並思考如何將其應用於實際業務場景，設計更智能、更好用的 AI 功能。

About the Role At Canner, we're building breakthrough AI and data infrastructure that transforms data from a static asset into the core engine of enterprise decision-making. As part of our RD team, you'll help drive the development and adoption of Wren AI. Wren AI is Canner's flagship open-source project, enabling Large Language Models (LLMs) to query enterprise data directly and providing AI Agents with precise semantic query capabilities. Our open-source repository has been featured on GitHub Top Trending for several consecutive weeks, accumulating nearly 15k+ stars and establishing itself as a leading global GenBI solution — a strong signal of worldwide developer recognition and demand. As a Forward Deployed Engineer (FDE), you'll be the engineer on the front line with our customers — deeply understanding their data architecture and business context, and turning Wren AI into the AI data infrastructure that powers their organization. You won't just respond to issues; you'll proactively drive customer success, channel frontline insights back to product, and accelerate our iteration cycle. If you're passionate about large-scale AI applications, working with international enterprises, serving global users, and learning the standards and expectations of multinational customers, this is an exceptional opportunity to participate in cutting-edge industry development. Responsibilities Serve as the technical partner and engineering point of contact for customers — understanding their data architecture, business needs, and use cases, and helping them plan and implement Wren AI best practices in their environment Lead customer onboarding and deployment, including data source connections (databases, data warehouses, etc.), semantic model (MDL) design and tuning, and AI model configuration and validation Design and build custom integrations, PoCs, demos, and technical validations tailored to each customer's data environment, demonstrating Wren AI's value in their specific context Triage, diagnose, and resolve technical issues customers encounter with the Wren AI platform/API — including natural language query accuracy, SQL generation, chart/report rendering, and API integration challenges Collaborate closely with Product and Engineering teams to translate customer needs and frontline insights into product issues and feature requests, and participate in testing fixes and validating new features Write and maintain technical documentation, integration guides, best practices, FAQs, and solution templates to improve customer self-service and team-wide support efficiency Track and respond to customer requests within SLA, ensuring high-quality and timely resolution Analyze customer usage patterns and recurring issues to proactively propose product improvements and customer success strategies — improving product stability, user experience, and retention Support Wren AI's open-source community growth and engagement — responding to GitHub issues/discussions, supporting community contributors, writing technical blog posts and example projects, and participating in community events to expand our global developer ecosystem

Introduction to the jobJoin our manufacturing digitalization journey and play a key role in enabling smarter, more efficient factory operations. As a Manufacturing Digital Project Specialist, you will apply your factory domain knowledge and software/tool expertise to drive digital improvement projects that directly enhance productivity and operational excellence.You will collaborate closely with production, planner, quality and IT teams to understand on‑site challenges, evaluate and introduce digital tools, and support system‑related initiatives that accelerate our factory transformation.This role is ideal for talents with factory experience + digital/tool expertise + information system background who enjoy solving real operational problems through technology—not by coding large systems, but by applying the right tools, data, and process thinking.Role and responsibilitiesDigital Tools Implementation Factory SupportEvaluate, deploy, and enhance digital tools used in factory operations (e.g., manufacturing applications, reporting tools, workflow systems, data collection tools).Identify operational pain points and translate them into software/tool‑based improvement proposals.Support day‑to‑day system usage for factory teams, providing guidance, training, and troubleshooting.Project Execution CoordinationLead or support digital transformation projects, including requirement gathering, solution assessment, testing, rollout, and post‑implementation review.Work with internal cross‑functional teams (production, planner, quality, IT) to ensure alignment on scope, priority, and deliverables.Prepare project documentation, track milestones, monitor progress, and communicate updates to stakeholders.Process Data EnablementAnalyze existing workflows and help digitize manual or inefficient processes.Develop dashboards or simple automation scripts to improve data visibility and decision‑making.Support system integration discussions by providing factory context and user requirements.Required QualificationsBachelor’s or Master’s degree in Information Management, Computer Science, or related fields.Hands-on factory experience (e.g., production operations, supply chain, planning, quality, engineering, or similar areas).Experience using or supporting factory-related software tools such as MES, WMS, scheduling tools, production execution applications, data collection systems, or internal digital tools.Programing skills (for example: VBA, C#, python etc.)  Experience with BI tools (Power BI, Tableau) for creating dashboards and actionable insights is also highly valued. Ability to lead projects and influence stakeholders without direct authority. Strong analytical thinking with the ability to translate user issues into digital or functional requirements.Excellent English and Mandarin communication skills for global collaboration.Proactive, detail‑oriented, and comfortable working in a project‑based environment.Preferred QualificationsExperience in digital transformation, process improvement, or factory system enhancement projects.Familiarity with manufacturing systems architecture, MES workflows, data flow, user interaction patterns.Experience conducting user training, documentation, or UAT support.Knowledge of Lean, CI methodologies, or structured problem‑solving.Ability to independently propose improvement ideas and translate them into actionable project items.Inclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.

Introduction to the jobSpace planning and managing data such as Factsheet, utilization and Re portfolio to ensure functionality, efficiency and cost-effectiveness.Role and responsibilities•Responsible for planning and managing the utilization of space in various locations of the organization in TW SEA, while ensuring optimal functionality, efficiency, and cost-effectiveness. •Manage the space planning to optimize the housing demand and supply and to combine this with an efficient and effective housing plan•Management data for Office and Industrial space in Planon.•Collecting and report out Factsheet report. •Leading the communication with NL counterpart collaboration.•Supporting admin / data gather work for new portfolio actions.•In charge of space code planning.Education and experienceBachelor / Master degree in business management, project management, facility manage or similar.•Minimum 5-7 years of experience in project management, business analyzed with interpersonal and effective communication skillSkills•Capable with competence to project management or facility/ Data management background.•Excellent in English listening, speaking, reading, writing•Strong ownership and team player with adaptable mindset•Good at Excel, PPT effective presentation skill, experience in Power BI and flow chart.Other informationCore competenciesCommunicates effectivelyEnsures accountabilityDrives resultsCollaboratesManages complexityFunctional competenciesAnalytical and problem analysis/problem solvingStrategic thinking innovationOwnership entrepreneurshipFlexible and stress-resistanceStrategic mindsetInclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.

ContextThe work requires cross-competency knowledge to understand the interaction between competencies and/or Quality Management System.Has a robust specialty (fully developed competency) and applies knowledge to other competencies.Participates in cross-sector teams to realize quality solutions.Interfaces with suppliers or customers as member of a larger team.Leads and drives projects to resolve quality problems.Proactively identifies and resolves quality issues within the own scope.Provides input on implementation of new and/or adjusted procedure and policy decisions.Leading process improvement initiatives to optimize workflows and enhance productivity.Works independently in own area of expertise.RequirementsMaster degree in a relevant field e.g. Quality Management, Industrial Engineering, or other relevant area with solid experience or Bachelor with substantial general work experience. Pending the expertise area additional certifications may be required.Skills: Manages Complexity, Balances stakeholders, Optimizes Work Processes, Risk Management, Data Analysis, Quality Control Assurance, Embed Learning, Collaborates, Problem Solving, Ensures Accountability, Communicates EffectivelyResponsibilitiesQuality Control, Assurance ComplianceLeads quality control and assurance activities, managing complex inspections, audits, and tests.Uses advanced data analysis techniques to identify trends and areas for improvement.Contributes to the development of enhanced quality management systems and processes.Provides guidance to junior specialists in quality control.Leads improvement projects.Expert Knowledge, Advice Capability BuildingDevelops and provides technical training within the own area of expertise on quality methodologies and best practices.Provides knowledge and advise to colleagues and managers.Mentors junior quality specialists in training techniques and content development.Procedures, Standards Development AdherenceContributes to quality management systems and processes​.Promotes and manages the adoption adherence of quality procedures and standards​.Deploys expertise related competences.Performance Data AnalyticsLeads more complex data analysis activities, using advanced statistical techniques to analyze quality data and generate actionable recommendations.Identifies root causes of quality issues through data-driven insights and contributes to the design of improved quality processes.Documenting ReportingLeads the documentation of complex quality processes, contributing to the development of improved procedures and protocols.Generates detailed reports on quality performance, highlighting trends, areas for improvement, and potential risks.Continuous Improvement Problem Solving Leads root cause analysis for more complex quality issues across teams, applying advanced problem-solving techniques to identify underlying causes.Develops and implements solutions to prevent recurrence of quality deviations.Process ImprovementLeads process improvement projects, applying data analysis to identify root causes of inefficiencies.Develops and implements more complex process enhancements, collaborating with cross-functional teams to achieve quality-related goals.Ensures that process improvements are implemented in the organization, in process descriptions, systems and architecture.Manage Customer ExpectationsLeads interactions with customers, understanding their quality-related needs and concerns.Provides general information about products or services.Applies advanced communication skills to manage customer expectations, ensuring alignment with quality standards and processes.Culture CommunityLive the Living Quality Excellence culture by enabling employees to own quality and creating a safe environment where employees can speak-up on QE topics.Actively promote/use of the QE Reward Recognition program and QE Communication Strategy.Be an active member within the QE Community and related events.Stakeholder ManagementCreates a relevant network of stakeholders of in- and external counterparts.Stakeholders are typically other experts and/or Team Leaders (typically JG 9-10)Organizes an adequate feedback loop on achieved results and secures reliable business insights. Explains and convinces internal and external parties about chosen solutions, based on content-driven arguments.Inclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.

關於 Wren AI Wren AI 正在重新定義企業級商業智慧（Business Intelligence），透過 Generative BI（GenBI），讓企業使用者能以自然語言存取 可信、可治理的分析結果，不需要撰寫 SQL，也不必維護複雜的語意模型。 Wren AI 誕生於台灣，具備深厚的 開源（Open Source）DNA，是少數從台灣出發，成功服務歐美、中東與亞太企業客戶的 B2B AI 新創公司。 目前，Wren AI 已被多家成長型與 跨國大型企業 採用，並正以開源導入與企業擴張為核心，快速成長中。 這是一個能在台灣工作、卻站在 全球 enterprise 銷售第一線 的難得機會。 職務說明 我們正在尋找一位具備 國際 enterprise 銷售經驗 的 Account Executive，從台灣出發，負責 海外企業客戶的新客戶開發與擴展。 此職位非常適合以下類型的人才： 英文溝通流利，能直接與海外企業客戶進行完整銷售流程 熟悉複雜、顧問式（consultative）的 enterprise sales cycle 能同時與技術與非技術決策者溝通 希望銷售的是一個「真正具全球競爭力」的產品，而非僅限在地市場 你將與創辦團隊、產品、Sales Engineering 與 Customer Success 緊密合作，共同擴展 Wren AI 的全球企業版圖。 工作內容 建立並管理 全球企業級銷售 pipeline，確保足夠的 quota coverage 全權負責複雜、多決策者的 enterprise 銷售流程（從初次接觸到成交與擴展） 穩定完成 enterprise 新客戶（net-new logos） 並推動 land-and-expand 策略 與以下角色進行顧問式銷售溝通： Head of Data / Analytics / BI IT / Data Platform 團隊 企業主管與決策者 對外清楚傳達 Wren AI 的 GenBI 願景與價值，涵蓋技術與商業面 與 Sales Engineering、Product、Customer Success 跨部門合作，確保成交與客戶成功 持續經營既有帳戶，推動產品採用、擴展與續約 使用 CRM 與 pipeline 工具（如 HubSpot、LinkedIn Sales Navigator）進行準確預測與管理 這是一個能在台灣工作、卻代表全球企業級 AI 產品，直接與歐美、中東與亞太大型企業客戶合作的難得機會，同時參與打造台灣少數真正具全球影響力的開源 B2B AI 公司。About Wren AI Wren AI is redefining Business Intelligence with Generative BI (GenBI)—enabling business users to access trusted, governed analytics through natural language, without writing SQL or managing complex semantic layers. Born in Taiwan with a strong open-source DNA, Wren AI is one of the few B2B AI startups from Taiwan successfully serving enterprise customers across the US, Europe, Middle East, and APAC. Today, Wren AI is trusted by fast-growing mid-market and multi-billion-dollar global enterprises, and is experiencing rapid international growth driven by OSS adoption and enterprise expansion. This is a rare opportunity to join a Taiwan-based team while operating at a true global enterprise sales level. The Role We are looking for an experienced Enterprise Account Executive based in Taiwan to own and drive net-new enterprise sales and expansion across international markets. This role is ideal for a seller who: Is fluent in English and comfortable selling to global enterprise buyersThrives in complex, consultative, multi-stakeholder sales cyclesCan articulate modern BI, analytics, and GenAI value to both technical and business audiencesWants to represent a globally relevant product, not just a local or regional solution You will work closely with founders, product, and sales engineering to help scale Wren AI’s enterprise footprint worldwide. What You’ll Do Build, manage, and maintain a strong global enterprise pipeline with sufficient quota coverageOwn complex, multi-stakeholder sales cycles from first meeting to close and post-sale expansionConsistently close net-new enterprise logos while executing a land-and-expand strategyLead consultative sales conversations with:Heads of Data, Analytics, BIIT Platform teamsBusiness leaders and executivesEvangelize Wren AI’s GenBI vision to both technical and non-technical stakeholdersCollaborate cross-functionally with Sales Engineering, Product, and Customer Success to ensure deal success and customer outcomesMaintain strategic ownership of accounts to drive adoption, expansion, and renewalsAccurately forecast and manage opportunities using CRM and pipeline tools (e.g. Salesforce, HubSpot, LinkedIn Sales Navigator)