דרושים Skillbridge Intern -technical Consultant Search ב-Elastic ב-ארהב

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

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

• Working alongside our software engineers, platform and design team to define product features and initiatives for a new conversational and agentic AI search experience
• Representing the complete set of personas that use the product and ensure that the flows are coherent across the various personas and life-cycle of product usage.
• Prioritizing the components of the product roadmap and helping ensure feature development can proceed efficiently.
• Gathering market data, customer feedback, customer usage data, and other key information to develop product insights and help drive the product roadmap.
• Meeting with existing and prospective customers to better understand their goals and gather feedback on how our products can best address their challenges.
• Assisting with Product Marketing efforts to develop messaging and collateral and deliver that information to stakeholders both internally and externally.
• Analyzing and addressing competitive dynamics within the product category.

• Relevant Experience launching and building a search or AI application for use cases such as Customer support, E-commerce, or Enterprise Search
• Proven experience in Product Management, preferably in an enterprise-focused product environment
• Startup-mentality and experience appreciated.
• Outstanding spoken and written communication and storytelling skills!
• Working knowledge of SaaS and/or IaaS product domains, including common design patterns, workflows, and delivery mechanisms.
• Empathy for the challenges of builders & operators turning them into opportunities in the short and long-term.
• A marked interest in new market-defining technologies such as RAG and LLMs is highly regarded.

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:

$159,900—$210,600 USD

$159,900—$232,900 USD

• Develop, run, and maintain enablement modules for field teams, ensuring the content is up-to-date, relevant, and optimally delivered.
• Improve and finalize templates/customer-facing executive presentations, ensuring they adhere to the latest guidelines.
• Review and edit content for clarity, grammar, and accuracy to maintain a high-quality standard in all documentation.
• Ensure that all content, including templates and presentations, is up to date with the latest industry benchmarks and standard processes.
• Collaborate with subject matter authorities (SMEs) across the company to build content that aligns with the buyer's journey, addressing industry-specific challenges and articulating our value proposition.
• Craft and produce various sales tools, including use case and solution templates, datasheets, case studies, and white papers.
• Measure the efficiency of enablement initiatives and iterate on content based on feedback and performance analytics.
• Assist in prioritizing and facilitating sales training sessions, workshops, and other informative activities.
• Support the management of the sales enablement content repository, ensuring that all information is easily and readily accessible to the field teams.
• Work with marketing teams to align messaging and collateral across different platforms and ensure consistency in brand messaging.
• Enable a feedback loop between field teams and product management to advise product development and go-to-market strategies.
• Maintain awareness of industry trends, competitive insights, and market intelligence to advise enablement strategies.

• Bachelor's degree in Business, Marketing, Communications, or a related field.
• 4 years of experience in sales enablement/content development, or a related function within a sales or marketing organization.
• Shown experience with crafting content and training materials tailored to sales teams in a sophisticated B2B environment.
• Strong understanding of sales methodologies, processes, and challenges.
• Excellent written and verbal communication skills with an ability to present sophisticated information clearly and concisely.
• Experience with sales enablement tools and platforms (e.g., Articulate 360, Seismic, Salesforce).
• Ability to work cross-functionally with sales, marketing, product teams, and other collaborators.
• Outstanding social skills and a keen attention to detail.
• Creative problem-solving abilities and an adaptable, flexible approach to project management.
• Proficiency with content creation tools and software (e.g., MS Office suite, design software, Adobe etc.).
• Self-motivated, and able to work in a fast-paced and multifaceted environment.

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

• Your journey with us will be defined by delivering Elastic solutions and applying your expertise in the Elastic Stack to drive real, tangible value for our clients. You won't just be another cog in the machine; your contributions will be pivotal in conducting workshops that map out strategies, design roadmaps, and plan capacities in environments critical to our customers' success.
• Building lasting relationships with our customers is at the heart of what we do. You'll champion their needs, advocate for them, and ensure their voices are heard loud and clear. And all of this will happen in a remote, highly distributed team setup where your individuality and unique background will be celebrated.
• As a Consulting Architect, Search you'll be entrusted with the task of creating captivating proof-of-concepts that highlight the value proposition of the Elastic Stack and its solutions. Your expertise will be the driving force behind accelerating the adoption of Elastic solutions, optimizing queries, fine-tuning clusters, and delivering lightning-fast search and analytics at scale.
• In this role, collaboration isn't just a buzzword; it's our way of life. You'll work closely with our engineering, product management, and support teams, ensuring that your insights and feedback from the field shape our products and services. Together, we'll assess technical aspects, identify risks, and seize opportunities to tailor engagements effectively alongside our sales team.

• Validated experience as a Search Engineer or Search Architect, with a solid grasp of Elastic, Vector Search, and GenAI technologies.
• Deep understanding of E-Commerce search solutions, query development, relevancy tuning, and implementing Natural Language Processing (NLP) use cases.
• A background in open-source machine learning frameworks like PyTorch, backed by a degree in Computer Science or related field (or equivalent experience).
• Hands-on experience with Elasticsearch and/or Lucene.
• A genuine passion for open-source technology and proficiency in at least one programming language.
• Strong knowledge of large distributed systems and application infrastructure.
• Flexibility to travel occasionally for business needs.

• Big 4 consulting.
• Elastic Certified Engineer certification.
• Proficiency in Ansible, JavaScript, Terraform, ECK, or Kubernetes.
• Expertise in machine learning and Artificial Intelligence (AI).
• Deep understanding of Java and Linux/Unix environments.
• Contributing to open-source projects or documentation.

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

• Working alongside our software engineers, platform and design team to define product features and initiatives across the Search product for the broad set of search use cases.
• Representing the complete set of personas that use the product and ensure that the flows are coherent across the various personas and life-cycle of product usage.
• Prioritizing the components of the product roadmap and helping ensure feature development can proceed efficiently.
• Gathering market data, customer feedback, customer usage data, and other key information to develop product insights and help drive the product roadmap.
• Meeting with existing and prospective customers to better understand their goals and gather feedback on how our products can best address their challenges.
• Assisting with Product Marketing efforts to develop messaging and collateral and deliver that information to stakeholders both internally and externally.
• Assembling market data, customer feedback, customer usage data, and other key information to develop product insights and help drive the product roadmap.
• Analyzing and addressing competitive dynamics within the product category.

• Proven experience in Product Management, preferably in a developer-focused product environment.
• Outstanding spoken and written communication skills.
• Solid understanding of SaaS and/or IaaS product domains, including common design patterns, workflows, and delivery mechanisms.
• Empathy for customer challenges and needs, turning them into opportunities in the short and long-term.
• Experience building customer value and highlighting competitive differentiation through packaging and pricing.
• A marked interest in new market-defining technologies such as vector search algorithms and machine learning is highly regarded! Expertise in machine learning, GenAI, RAG is a plus but also not required.
• Direct product management experience building search and/or modern workplace productivity products is helpful but not required.

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—$229,800 USD

$191,900—$243,500 USD

The Search Data Science team is responsible for developing and integrating statistical tools and machine learning models within the Search domain in support of semantic search, RAG, agentic search, and chat applications. As a Data Scientist in this area, you will work closely with our Product teams to lead the innovation, incubation, and prototyping phases of how to evolve and transform our AI/ML driven Search experiences and solutions with a focus on quickly bringing new ideas to production and into the hands of our customers. Your primary focus will be driving forward research and development in support of improving semantic search with proprietary models and customized open source models, developing techniques and models for query and document understanding, implementing RAG and LLM-driven search experiences, and developing tooling to help customers design and implement successful end-to-end RAG systems. Furthermore, you’ll be investigating aspects of modern agentic search including reasoning engines, prompt engineering techniques, query understanding, and more. Doing this requires exploring and benchmarking new open source models, and existing proprietary Elastic models, while keeping up to date with the latest major advancements in the fields of NLP and information retrieval.

• Explore, select and benchmark open source and Elastic proprietary models
• Implementing RAG and other LLM-based search experiences
• Designing evaluation protocols for semantic search, tool selection, and generation in LLM-based search experiences
• Keeping up-to-date with the most significant recent developments in the field of NLP and information retrieval
• Engage with the NLP and information retrieval communities (blogs, documentation, Python examples, conference talks, academic papers, etc.)
• Collaborate with cross-functional teams of data scientists, engineers, and product managers
• Promote knowledge sharing and collaboration in a distributed team

• 8+ years of confirmed experience building and applying NLP to production use cases
• 8+ years of professional software development experience in Python
• Experience in Generative AI, Retrieval Augmented Generation, and information retrieval
• Experience with libraries and frameworks such as PyTorch, transformers, and Pandas
• Experience using collaborative notebook-based workflows (e.g. Jupyter) for prototyping and knowledge sharing
• Expertise in AI/ML quality evaluation and improvement, including balancing tuning techniques with cost/benefit tradeoffs
• Self motivated, collaborative style, open communicator, experience in a distributed team
• Good attention to detail and highly organized
• Real passion for data, analysis and achieving excellence
• Experience with Elasticsearch is useful
• An academic background in the domain is also a plus

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