Search - Workchat Principal Data Scientist jobs at Elastic

You’ll bring deep hands-on expertise in designing, deploying, and optimizing search platforms—ranging from traditional Elasticsearch-based Enterprise Search to modern semantic and vector search architectures (e.g., embeddings, RAG, hybrid search systems). You should be comfortable operating in cloud-native environments (AWS/Azure/GCP), implementing robust indexing pipelines, tuning search relevance, and scaling for performance and cost-efficiency.

• Architect and implement advanced Enterprise Search , Vector Search , and Semantic/RAG systems for large-scale deployments.
• Develop and implement Technical Success Plans tailored to each customer, covering indexing pipelines, query relevance (e.g., recall@k, latency), vector similarity performance, and adoption metrics.
• Lead the full customer lifecycle: onboarding, proof-of-concept (POC), rollout, adoption, escalation, and expansion.
• Design RAG and semantic search workflows using embedding models (LLM, ELSER, Hugging Face, LangChain, etc.).
• Optimize search relevance and performance: tuning indices, scaling clusters, running vectors, and conducting A/B tests.
• Partner with Sales, Pre‑Sales, Services, and Support to align technical strategy and customer satisfaction.
• Monitor usage, diagnose adoption gaps, and proactively propose expansions and upsells aligned with ARR goals.

• 8–12+ years building and operating enterprise search systems , including vector and semantic search.
• Strong experience with Elastic or similar platforms: Elasticsearch, Pinecone, Qdrant, Milvus, Weaviate.
• Authority in embedding‑based retrieval, LLM integration, RAG pipelines, and vector database architecture.
• Consistent track record of designing scalable, performant search infrastructure on cloud platforms (AWS/Azure/GCP).
• Excellent communicator able to present technical designs and business impact to both technical and executive audiences.
• Data-driven mentality: adept at measuring search performance (e.g., latency, throughput, recall) and acting on insights.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Previous roles in Solution Architecture, Pre‑Sales Engineering, or Customer Success focused on search/AI applications.

• Hands-on experience with RAG systems , chat/search applications, and open-source contributions.
• Understanding of vector database internals: ANN algorithms, indexing strategies, recall/precision evaluation.
• Familiarity with embedding model tuning and search relevance optimization frameworks.

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 a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). 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

Compensation for this role is in the form of base salary plus a variable component, that together comprise the On-Target Earnings (OTE). On-Target Earnings (OTE) are based on a 70/30 pay mix (base salary / target variable).

The typical starting OTE range for new hires in this role is listed below. This range represents the lowest to highest OTE 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 range may be modified in the future.

An employee's position within the OTE 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.

The typical starting salary range for this role is:

$107,500—$170,100 USD

The typical starting Target Variable range for this role is:

$46,000—$72,800 USD

The typical starting On-Target Earnings (OTE) range for this role is:

$153,500—$242,900 USD

We're seeking a visionary

• Lead the strategic vision for Elastic's Entity Analytics, ensuring alignment with market trends and customer needs.
• Define and prioritize innovative product features based on customer requirements through collaboration with cross-functional teams.
• Drive product differentiation by conducting thorough market analysis and customer interviews to identify key opportunities.
• Develop comprehensive product requirements and user stories to guide development.
• Build and maintain a balanced product roadmap that integrates innovation with timely customer delivery.
• Collaborate with marketing and sales teams to develop effective go-to-market strategies.
• Engage customers and industry analysts to gather valuable insights and validate product concepts.
• Serve as a subject matter authority and product evangelist through compelling presentations and thought leadership initiatives.

• 8+ years of PM experience, with 5+ years in Cybersecurity.
• 3+ years specifically in SIEM, UEBA, or security analytics products.
• A track record of bringing complex B2B security products to market.
• Experience leading products with AI/ML components and natural language interfaces.
• Experience with enterprise sales cycles, proof-of-concepts, and technical evaluations.
• Understanding of enterprise deployment, configuration, and customization requirements.
• Knowledge of scalability, performance, and reliability considerations for critical systems.

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 a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). 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

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

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.

The typical starting salary range for this role is:

$159,800—$252,800 USD

$191,900—$303,500 USD

As the Principal Product Manager for OpenTelemetry Instrumentation, you will lead the most fundamental part of our customer's journey: the first mile. You will be responsible for crafting a world-class developer experience for instrumenting applications, services, and infrastructure using OpenTelemetry. Your role is to make data collection so seamless that it feels like magic, enabling our customers to unlock the full power of our observability platform.

• Own the Vision & Strategy: Define and evangelize the product vision, strategy, and roadmap for our entire OpenTelemetry instrumentation experience, ensuring it aligns with our broader observability goals and the evolving OTel landscape.
• Champion the Developer: Live in the shoes of our users. Engage deeply with developers, SREs, and platform engineers through interviews, community channels, and analytics to understand their struggles and build solutions they love.
• Lead in the Open: Be an active and influential member of the OpenTelemetry community. Participate in SIGs (Special Interest Groups), contribute to specifications, and build relationships to ensure our platform is the best place to send OTel data.
• Drive Execution: Work hand-in-hand with our brilliant engineering, design, and developer relations teams to translate user needs into clear requirements, scope compelling features, and drive them from inception to a successful launch.
• Define Success: Establish and analyze Key Performance Indicators focused on instrumentation adoption, time-to-value, ease-of-use, and data quality to ensure your product is delivering real impact.
• Enable the Ecosystem: Collaborate with marketing, sales, and solution architects to craft differentiated messaging and technical content that clearly articulates the value of using OpenTelemetry with our platform.
• Be the Expert: Serve as the internal and external spokesperson for our OpenTelemetry Instrumentation strategy, presenting at conferences, webinars, and customer meetings.

• An OTel Enthusiast: You are passionate about OpenTelemetry and a true believer in open standards. You don't just know what OTel is; you've used it, you understand its components (APIs, SDKs, Collector, OTLP), and you have strong opinions about its future.
• A Technical Product Leader: You have 3+ years of product management experience, ideally with a highly technical, API-driven, or developer-focused product. You are comfortable diving deep into architecture diagrams and code samples with engineers.
• A Former Practitioner (or have the approach): You have hands-on experience in the observability world. Maybe you were an SRE, a DevOps Engineer, a Software Developer, or a Solutions Architect who spent years instrumenting and monitoring complex, distributed systems.
• Customer-Obsessed: You think in terms of user journeys and experiences, not just features. You have a consistent track record of turning customer insights into a successful product roadmap.
• An Outstanding Communicator: You can effortlessly shift from a high-level strategic discussion with executives to a deeply technical debate with engineers. Your written communication is clear, concise, and compelling.
• A Community-Minded Collaborator: You thrive with working with cross-functional teams and understand the nuances of contributing to and working with open-source communities.

• You have experience contributing directly to an open-source project (especially OpenTelemetry) or have deep familiarity with the Elastic Stack, Datadog, or other major observability vendors.

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 a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). 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

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

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.

The typical starting salary range for this role is:

$159,800—$252,800 USD

$191,900—$303,500 USD

• Contribute to developing ML solutions for Endpoint Security.
• Perform data analysis on our sources to identify new solutions and improvements.
• Collaborate within the Security ML team and with members of other teams to build, ship, and maintain ML models.
• Promote long-term vision for monitoring performance of deployed models to identify concept drift and determine retraining cadence.
• Determine how to improve models over time by leveraging implicit and explicit feedback.

• Experience building Security solutions (Endpoint, Network, UEBA, etc.).
• Experience with threat hunting and malware analysis.
• Proficiency in Python programming skills.
• Experience with writing and running tests (unit tests, integration tests, regression tests).
• Experience with performing data analysis as required to support data quality decisions.
• Ability to both give and receive helpful code reviews.
• Be comfortable working in a fully-remote environment.
• Be able to communicate clearly to diverse groups of stakeholders coming from different disciplines, time zones, and programming language preferences.
• Willingness to learn new things and ask for help.

• Experience designing, training, and evaluating models using popular ML frameworks.
• Experience with AWS or GCP.
• Experience with Kubernetes.
• Experience with Buildkite or other CICD tooling

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 a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). 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

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

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.

The typical starting salary range for this role is:

$133,100—$210,600 USD

$159,900—$252,900 USD

In this role, you'll become the evangelist for Elastic Observability's technical capabilities. You'll set up the infrastructure for product demos, build hands-on workshops, create compelling videos, write insightful blogs, and share your expertise through webinars, ElasticON presentations, and industry conferences. Your work will directly influence how we engage with our community and prospects.

• Maintain and improve demo environments to effectively showcase compelling use cases as new product features are released.
• Develop impactful demos and demo scripts that showcase use cases and workflows that empower the field to deliver differentiated demos and successful POCs.
• Streamline automation and processes to ensure demo maintenance is efficient, reliable, and scalable.
• Provide timely training and update content to enable the field team with the latest product capabilities.
• Develop technical pitch presentations to enable and activate solution architects and other technical resource
• Author technical blogs that highlight Elastic’s technology and platform, driving thought leadership and engagement.
• Deliver technical enablement sessions, including demo recordings and webinars, to educate and encourage.
• Influence the product roadmap by providing market and customer insights that shape priorities.
• Measure and track demo usage and adoption to continuously improve efficiency and impact.
• Represent Elastic at industry events, showcasing our products and engaging with the community.
• Assist in technical benchmarking for competitive intelligence content and evaluation

• Extensive experience in observability, developer tools, or cloud-related domains, with a strong ability to engage technical audiences such as SOC analyst, Threat analyst, Security engineer, Security architect
• Shown ability to build compelling content across various formats, including blog posts, presentations, and videos, that resonates with both technical and non-technical audiences.
• Broad software development expertise, particularly in Python, Go, and shell scripting, with a focus on automating demo environments and workflows.
• Hands-on experience with technologies like Kubernetes, Docker, and Terraform, enabling you to craft and deliver robust demos and proof of concepts.
• Strong familiarity with deploying and operating workloads in cloud environments, specifically within AWS, Google Cloud, or Azure.
• Excellent communication skills, with the ability to clearly explain sophisticated technical concepts to non-experts through blogs, videos, customer discussions, and webinars.
• Comfortable growing in a multi-functional role, collaborating successfully with a highly distributed and diverse team.

• Practitioner-level knowledge and experience in the observability or monitoring domain.
• Previous experience as a Technical Marketing Engineer or Pre-Sales Engineer, particularly with cloud technologies.
• Hands-on experience implementing one or more of Elastic’s solutions in real-world customer environments.

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 a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). 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

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

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.

The typical starting salary range for this role is:

$135,700—$214,700 USD

$163,100—$258,100 USD

We’re looking for a

You’ll join a remote-friendly, team that values curiosity, clarity, and action to deliver impact to the business. You’ll have room to grow, freedom to explore, and the support you need to do your best work—while learning how data helps shape every part of our business.

Turning Data Into Decisions

• Build clean, scalable dashboards and tools using SQL (BigQuery), dbt, and Tableau
• Analyze complex data to answer key business questions—and turn insights into action
• Handle ad hoc asks in Google Sheets, while staying focused on big-picture, long-term impact
• Support senior leaders with clear, accurate reporting for exec and board-level needs
• Question assumptions and get to the root of the problem, not just the request
• Validate your work thoroughly and explore data anomalies with curiosity

Working Independently, While Staying Connected

• Take ownership of projects from start to finish—managing your own scope, priorities, and timelines
• Collaborate across time zones and teams (Sales, Field Ops, Data Engineering, and more) to ensure alignment and data consistency across data sources and reporting
• Spot data issues early and partner with the right folks to fix them at the source
• Help keep our reporting consistent and aligned across tools and teams

Learning, Growing, and Making an Impact

• Build real-world experience in Revenue Operations while learning how the business runs
• Lead high-impact projects that shape go-to-market strategy
• Grow your skills in areas like predictive analytics, data architecture, and business planning
• Work directly with senior leaders and build strong relationships across the company
• Be part of a team where your ideas and work make a visible difference

• 6+ years of experience in data analytics, BI, or a similar role—ideally in a high-impact, fast-paced environment
• Strong SQL skills (BigQuery preferred); experience with dbt is a plus
• Proficient with data visualization tools like Tableau or Power BI. Experience with predictive analytics is a plus.
• Experience working with Salesforce or similar sales data tools
• Comfortable working in Google Sheets to support quick turnaround requests
• Familiarity with B2B SaaS and a solid understanding of sales or post-sales data
• Experienced in managing complex projects with clarity and focus —you know how to prioritize, follow through, and get unblocked when needed
• Clear, proactive communicator who can explain complex ideas simply and help others make informed decisions

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 a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). 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

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

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.

The typical starting salary range for this role is:

$89,100—$140,900 USD

$106,800—$168,900 USD

• Lead initiatives within to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search.
• Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.
• Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
• Be an expert on how Elasticsearch implements vector similarity in support of search relevance and everyone will turn to you when they have a question about this area. You'll improve this area based on your questions and your instincts.
• Work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.
• Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

• You have implemented novel techniques in vector similarity on a search platform with a large user base or progressed the field of academic research in vector similarity information retrieval.
• Professional experience with vector similarity and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.
• You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.
• You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.
• You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.
• You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

• You've built things with Elasticsearch before.
• You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.
• Experience with data storage technology.
• You have experience designing, leading and owning cross-functional initiatives

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 a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). 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

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

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.

The typical starting salary range for this role is:

$159,800—$252,800 USD

$191,900—$303,500 USD