
Elastic · United States
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of busine...
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale —
unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500,
brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By
taking advantage of all structured and unstructured data — securing and protecting private information more effectively —
Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
As a Principal Search Architect, you will serve as the elite technical authority and visionary leader helping our largest
enterprise customers unlock the full potential of Elasticsearch. Acting as a strategic, trusted advisor to CTOs and Enterprise
Architecture teams, you will design, govern, and scale massive, complex Elasticsearch cluster topologies that transform
application search performance, data retrieval infrastructure, and AI-powered semantic search capabilities.
You will bridge the gap between business strategy and cutting-edge distributed systems engineering, collaborating directly with
Elastic’s global Professional Services leadership, Core Engineering, Product Management, and Sales executives. In this high-impact
role, you will shape the future of enterprise deployments by driving regional architectural standards, leading critical cluster
migrations, and mentoring both Fortune 500 engineering teams and internal Elastic technical staff.
retrieval architectures built natively on distributed Elasticsearch environments.
engagements—from initial node blueprinting and capacity planning to custom mappings, shard strategy, Index Lifecycle Management
(ILM), and cross-cluster replication (CCR/CCS).
Elasticsearch’s native vector database capabilities, including kNN, Approximate Nearest Neighbor (ANN), ELSER (Elastic Learned
Sparse Encoder), hybrid retrieval, and Retrieval-Augmented Generation (RAG) pipelines.
environments with aggressive sub-second SLAs, optimizing Apache Lucene segment merging, caching layers, and heap/garbage
collection configurations.
cluster state performance, thread pools, and bulk indexing requests for maximum efficiency.
the Elasticsearch codebase roadmap, surface edge-case bugs, and drive feature enhancement requests based on enterprise field
realities.
solution patterns across the broader Elasticsearch and open-source engineering communities.
technical excellence and deep mastery of Elasticsearch internals.
specifically focused on Elasticsearch at a massive scale.
including consensus protocols, internal node roles (master, data, ingest, machine learning), Apache Lucene indexing mechanics,
and cluster state management.
native ML nodes, dense/sparse vector fields, and integrations with modern NLP frameworks and LLM orchestration tools.
Azure, GCP) using cloud-native patterns, Docker, and Terraform.
utilizing official Elasticsearch client libraries and building custom plugins.
stakeholders to align technical Elasticsearch roadmaps with core business strategy.
industry experience.
required for strategic architectural engagements.
Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los
Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.
These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time
of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.
An employee's position within the salary range will be based on several factors including, but not limited to, relevant education,
qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders.
Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total
rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a
range of other benefits offered with a holistic emphasis on employee well-being.
The typical starting salary range for this role in the select locations listed above is:
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one,
Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if
you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of
our people is the right thing to do.
Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to
creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will
receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation,
gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other
basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To
request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We
will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay
Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and
licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions:
Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of
Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in
or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment
in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
Please see here for our Privacy Statement.
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. WHAT IS THE ROLE As a Principal Search Architect, you will serve as the elite technical authority and visionary leader helping our largest enterprise customers unlock the full potential of Elasticsearch. Acting as a strategic, trusted advisor to CTOs and Enterprise Architecture teams, you will design, govern, and scale massive, complex Elasticsearch cluster topologies that transform application search performance, data retrieval infrastructure, and AI-powered semantic search capabilities. You will bridge the gap between business strategy and cutting-edge distributed systems engineering, collaborating directly with Elastic’s global Professional Services leadership, Core Engineering, Product Management, and Sales executives. In this high-impact role, you will shape the future of enterprise deployments by driving regional architectural standards, leading critical cluster migrations, and mentoring both Fortune 500 engineering teams and internal Elastic technical staff. WHAT YOU WILL BE DOING * Elasticsearch Core Architecture: Translate highly complex business requirements into resilient, next-generation enterprise retrieval architectures built natively on distributed Elasticsearch environments. * Cluster Governance & Design: Lead the overarching technical strategy and design authority for high-stakes customer engagements—from initial node blueprinting and capacity planning to custom mappings, shard strategy, Index Lifecycle Management (ILM), and cross-cluster replication (CCR/CCS). * Advanced Vector Search & AI Engineering: Design and operationalize cutting-edge semantic search architectures utilizing Elasticsearch’s native vector database capabilities, including kNN, Approximate Nearest Neighbor (ANN), ELSER (Elastic Learned Sparse Encoder), hybrid retrieval, and Retrieval-Augmented Generation (RAG) pipelines. * Performance Tuning & Optimization: Profile, benchmark, and tune distributed search and indexing performance for ultra-high-QPS environments with aggressive sub-second SLAs, optimizing Apache Lucene segment merging, caching layers, and heap/garbage collection configurations. * High-Throughput Indexing: Architect robust distributed ingestion strategies handling petabyte-scale throughput, optimizing cluster state performance, thread pools, and bulk indexing requests for maximum efficiency. * Cross-Functional Influence: Collaborate cross-functionally with Elastic Product Management and Core Engineering to influence the Elasticsearch codebase roadmap, surface edge-case bugs, and drive feature enhancement requests based on enterprise field realities. * Community & IP Development: Capture, formalize, and publish global best practices, reference architectures, and reusable solution patterns across the broader Elasticsearch and open-source engineering communities. * Culture of Excellence: Drive internal enablement initiatives, mentor senior engineers, and cultivate a culture of continuous technical excellence and deep mastery of Elasticsearch internals. WHAT YOU BRING * 8+ years as a Principal Architect, Lead Engineer, or Senior Systems Consultant with recognized, deep technical expertise specifically focused on Elasticsearch at a massive scale. * Elasticsearch Internals Mastery: Comprehensive understanding of distributed systems theory as it applies to Elasticsearch, including consensus protocols, internal node roles (master, data, ingest, machine learning), Apache Lucene indexing mechanics, and cluster state management. * AI-Powered Search Expertise: Proven track record of deploying production-grade semantic search solutions using Elasticsearch’s native ML nodes, dense/sparse vector fields, and integrations with modern NLP frameworks and LLM orchestration tools. * Cloud-Native Infrastructure: Advanced knowledge of orchestrating massive Elasticsearch workloads across cloud platforms (AWS, Azure, GCP) using cloud-native patterns, Docker, and Terraform. * Polyglot Coding: Strong proficiency in multiple programming languages (e.g., Java, Python, Go) with extensive experience utilizing official Elasticsearch client libraries and building custom plugins. * Elite Communication: Exceptional presentation and storytelling skills, with verified experience commanding a room of executive stakeholders to align technical Elasticsearch roadmaps with core business strategy. * Education: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related quantitative field, or equivalent deep industry experience. * Global Mindset: Comfortable working effectively across highly distributed, global teams and traveling to client sites as required for strategic architectural engagements. ADDITIONAL INFORMATION - WE TAKE CARE OF OUR PEOPLE As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. * Competitive pay based on the work you do here and not your previous salary * Health coverage for you and your family in many locations * Ability to craft your calendar with flexible locations and schedules for many roles * Generous number of vacation days each year * Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service * Up to 40 hours each year to use toward volunteer projects you love * Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.
Senior Software Engineer, Content AI Warsaw, PL The Senior Software Engineer acts as the technical lead for an agile team, focusing on the design and development of scalable microservices for Peloton's core features across all platforms (Bike, Tread, Strength, and Digital). The Content AI Team is responsible for training and hosting various models in the domains of Natural Language Processing (NLP) and Automatic Speech Recognition (ASR). This role is highly collaborative, requiring close partnership with Product, Design, and QA throughout the development lifecycle. The candidate will be responsible for designing, developing, testing, deploying, and monitoring microservices that specifically power features like search, voice, and captions, which are crucial for platform expansion and international growth. In addition to technical delivery, excellent communication and engineering skills are essential for providing guidance to junior team members and effectively coordinating with other stakeholders, such as Technical Program Managers (TPM). YOUR DAILY IMPACT AT PELOTON * Design, develop and operate business-critical APIs and services with a focus on high availability, low latency, security and scalability * Mentor junior engineers in the team and communicate effectively with TPM and Product * Write understandable, well tested code with an eye towards maintainability and scalability * Architect and build reusable code, libraries, and patterns for use across teams * Propose, experiment, and implement solutions to scale services while meeting business and product requirements. * Leverage production monitoring/profiling/tracing and load testing tools to discover bottlenecks and using techniques such as data modeling, query optimization, and caching to address the bottlenecks * Lead technical discussions during architecture meetings, design reviews, and task breakdown * Identify common patterns as well as develop and foster development of reusable components and standards across teams * Champion and implement industry best practices such as feature toggles, CI/CD, test automation, logging, and monitoring in order to ensure confidence in our release process * Mentor and coach engineers through code reviews, pair programming, and technical guidance * Participate in on-call rotations and lead incident response efforts to maintain system reliability * Collaborate and partner with cross-functional team members from Product, Design, and QA whilst serving as a domain expert in your area YOU BRING TO PELOTON * MS or BS degree in fields such as Computer Science, Engineering or Mathematics. * 6+ years of software development experience building high-performance, highly scalable backend cloud application systems * Expertise in Kotlin, Python, or similar languages * Strong experience with Spring Boot, Bottle/Gunicorn, or similar backend web frameworks (JVM or Python) * Experience with both relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. DynamoDB, Mongo) databases * Hands-on experience with Elastic Search query optimization and scaling * Experience with caching systems such as Memcache, Redis * Experience with request processing such as REST, gRPC, or GraphQL * Proven ability to work in high growth, fast-paced environments and adapt to change * Experience with Docker and Kubernetes for containerization and orchestration * Experience with AWS services (DynamoDB, S3, ECR, IAM, Lambda, SQS) and cloud infrastructure design * Experience with deployment tooling such as Terraform, GitHub Actions, Jenkins * Experience with observability and monitoring tools such as Datadog or similar APM solutions * Strong understanding of API design principles, security best practices, and performance optimization * Experience with production support, leading incident response, and troubleshooting complex distributed systems * Experience collaborating with and influencing cross-functional team members from Product, Design, and QA Bonus Points * Experience with building personal voice digital assistants or chatbots * Experience with building search platforms, personalizing search and discovery * Worked with automatic speech recognition (ASR) ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment. If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com. At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions. Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address. If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence. Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.
職位概述(Role Overview) Coupang 正重新定義購物體驗,而我們的程式化廣告(Programmatic Ad)產品正驅動新一代電商整合。 我們正在尋找一位具策略思維的客戶經理(Account Manager),負責管理台灣的聯盟夥伴(Affiliate partners)。此職位將專注於發展與優化媒體/網站夥伴關係、推動更深入的 API 整合,以及透過 Coupang 的聯盟技術(Affiliate Technologies)挖掘長期變現機會。 你將與產品、工程與合作夥伴團隊密切合作,以最大化合作夥伴績效、營收成長與整合深度。 工作內容(What You Will Do) 1. 夥伴成長與帳戶管理(Partner Growth & Account Management) * 負責並拓展台灣地區 App 與網站媒體夥伴組合 * 推動既有帳戶的營收成長、留存與業務擴展 * 發掘升級機會,將夥伴從基礎展示型變現(display)提升至 API 驅動的電商整合模式 * 與產品、工程及商務團隊等關鍵利害關係人建立長期穩定關係 * 作為合作夥伴的主要聯絡窗口與信任顧問 2. 技術解決方案顧問與整合優化(Technical Solution Consulting & Integration Optimization) * 作為策略顧問,協助媒體夥伴優化 Coupang 搜尋與推薦 API 的整合效果 * 與夥伴工程團隊合作,提升整合品質、資料流與整體效能 * 分析績效數據,提出優化建議以提升轉換率、互動率與變現能力 * 與 Coupang 內部產品與工程團隊跨部門合作,解決問題並推動功能優化 3. 營收優化與程式化策略(Revenue Optimization & Programmatic Strategy) * 運用對 SSP(供應方平台)、程式化生態與競價模式的理解,優化夥伴變現成果 * 協助夥伴從傳統模式(waterfall / display)轉型至進階的程式化 + API 驅動模式 * 探索成長槓桿,包括流量分群、版位策略與推薦邏輯優化 * 使用 Dashboard 或 SQL 追蹤與管理關鍵商業指標 4. 夥伴成功與策略發展(Partner Success & Strategic Development) * 為重點夥伴制定帳戶策略與成長藍圖 * 監控夥伴健康度,辨識風險並主動推動留存策略 * 分享市場洞察與最佳實務,提升夥伴整體表現 * 必要時支援新夥伴 onboarding,並著重長期成長與規模擴展 基本資格與能力(Basic Qualifications & Skills) * 8 年以上 Account Management、Partner Management 或 Business Development 經驗(需具備 AdTech / Programmatic / 行動變現領域背景) * 熟悉媒體變現模式、SSP 及程式化廣告生態系 * 具備管理與成長策略型或企業級客戶的經驗 * 能將商業需求轉化為技術解決方案與整合策略 * 能與技術團隊討論 API、資料流與系統整合相關議題 * 具備強烈數據分析思維,能以數據與績效驅動決策 Company Introduction Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door. Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?” Role Overview Coupang is reimagining the shopping experience, with our Programmatic Ad products driving next-generation commerce integrations. We are looking for a strategic Account Manager to manage our affiliate partners in Taiwan. This role focuses on growing and optimizing publisher relationships, driving deeper API integrations, and unlocking long-term monetization opportunities through Coupang’s Affiliate Technologies. You will work closely with product, engineering, and partner teams to maximize partner performance, revenue growth, and integration depth. What You Will Do 1. Partner Growth & Account Management * Own and grow a portfolio of app and web publisher partners in Taiwan * Drive revenue growth, retention, and expansion across existing accounts * Identify upsell opportunities by expanding partners from basic display monetization to API-based commerce integration * Build strong, long-term relationships with key stakeholders including Product, Engineering, and Business teams * Act as the primary point of contact and trusted advisor for partners 1. Technical Solution Consulting & Integration Optimization * Serve as a consultative partner to help publishers optimize integration of Coupang’s Search & Recommendation APIs * Collaborate with partner engineering teams to improve integration quality, data flow, and performance outcomes * Analyze performance data and recommend adjustments to maximize conversion, engagement, and monetization yield * Work cross-functionally with Coupang product and engineering teams to resolve issues and roll out enhancements 1. Revenue Optimization & Programmatic Strategy * Leverage understanding of SSPs, programmatic ecosystem, and bidding models to improve partner monetization outcomes * Help partners optimize yield by transitioning from legacy models (waterfall / display) to more advanced programmatic + API-driven models * Identify growth levers including traffic segmentation, placement strategy, and recommendation logic * Track and manager key business performance metrics using Dashboard or SQL 1. Partner Success & Strategic Development * Develop account plans and growth roadmap for key partners * Monitor partner health, identify risks, and proactively drive retention strategies * Share market insights and best practices to elevate partner performance * Support onboarding of new partners when needed, but with a focus on long-term success and scaling Basic Qualifications & Skills * 8+ years of experience in Account Management, Partner Management, or Business Development within AdTech / Programmatic / Mobile Monetization * Strong understanding of publisher monetization, SSPs, and programmatic advertising ecosystem * Experience managing and growing strategic or enterprise-level accounts * Ability to translate business needs into technical solutions and integration strategies * Comfortable discussing API concepts, data flow, and system integration with technical stakeholders * Strong analytical mindset with ability to drive decisions through data and performance metrics * Native Mandarin and professional English proficiency Recruitment Process and Others Recruitment Process * Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer * The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. * Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider * This job posting may be closed prior to the stated end date for application if all openings are filled. * Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. * Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/