Search - Workchat Principal Data Scientist jobs at Elastic in Canada

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. The typical starting salary range for new hires in this role is listed 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.

The typical starting salary range for this role is:

$146,700—$232,100 CAD

We are looking for a Software Engineer to join the Developer Tools Team. In this role, you will bring your expertise in programming languages and ecosystems to our distributed team of engineers from various technical disciplines. You will help build, maintain, and support client libraries and framework integrations. An interest in working across a range of projects and programming languages, with a particular focus on Javascript, is essential. Ideally, you will also have experience developing software in an open-source environment.

You will be working on fully open sourced code that is embedded within user applications, so will need to understand the implications of writing software in the open, versioning and managing product releases, and interacting with users directly in a public setting.

• You'll be developing, maintaining, and supporting libraries and third-party integrations for the Elastic Stack in Javascript
• You'll participate in the design and development of team-wide projects.
• You'll support users through GitHub issues, forums, and official support channels.
• You'll collaborate with maintainers of external projects (e.g., GenAI frameworks) to facilitate integration with the Elastic Stack.
• You'll represent Elastic within relevant communities and ecosystems.

• Minimum 2 years of backend software engineering experience.
• Recent working experience of at least one major programming language, such as Javascript.
• Knowledge of developing software within an open-source environment.
• Knowledge of industry best practices in software engineering.
• A strong focus on usability and developer experience.
• A genuine interest in technology and an active interest in exploring multiple programming languages.
• An understanding of core AI principles and LLMs.
• Excellent communication, collaboration, and interpersonal skills.
• A willingness to work as part of a remote, globally distributed team.
• Clear thinking, self-motivation, and the ability to learn and work independently

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. The typical starting salary range for new hires in this role is listed 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.

The typical starting salary range for this role is:

$89,100—$141,000 CAD

The R&D ML team is responsible for training, testing and optimizing a set of models and pipelines used across the whole stack. As a model architecture lead for retrieval and reranking, you will lead the design and post-training strategies of our next generations of in-house models that will be integrated in our product. While our current generation of models are text only, we plan to add multi modality in the near future.

• Strategic research & technical roadmap definition: identify promising new technologies for text-only and multi-modal models, look into post-training methodologies relevant for retrieval and re-ranking, and champion solutions that will fit best in Elastic.
• Tooling: improve our infrastructure and help scale to accommodate larger models: provide expert guidance on distributing data preparation, training and testing on multiple GPUs, help design, improve and write specs for our compute infrastructure
• Model variants exploration: investigate applying fine-tuning, quantization, distillation and other techniques to existing or upcoming models.
• Technical leadership: foster a culture of innovation and rigorous experimentation, coordinate knowledge sharing within the team; act as a senior technical authority and go-to expert for the modeling, training and testing challenges; mentor more junior members of the team helping them develop their skills and knowledge
• Communication: interact with various leads across the organization, communicate sophisticated concepts to high profile stakeholders, adjust and iterate on the roadmap according to internal and external inputs.

• Excellent comprehension of the industrial and academic state of the art on xLMs, more specifically in retrieval and reranking techniques
• Extensive professional experience in designing, training, and debugging various model architectures as well testing and implementing post-training strategies; proven track record of assessing, proposing and integrating frontier techniques to large scale products.
• 6+ years of professional software development experience in Python (pytorch).
• Experience with large-scale model training (between 0.1 and 7B parameters), distributed training, and model optimization techniques (e.g., quantization, pruning, efficient attention mechanisms).
• Excellent communication skills and gentle approach to leadership
• Strong attention to detail and highly organized

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

The R&D ML team is responsible for training, testing and optimizing a set of models and pipelines used across the whole stack. As a model architecture lead for retrieval and reranking, you will lead the design and post-training strategies of our next generations of in-house models that will be integrated in our product. While our current generation of models are text only, we plan to add multi modality in the near future.

• Strategic research & technical roadmap definition: identify promising new technologies for text-only and multi-modal models, look into post-training methodologies relevant for retrieval and re-ranking, and champion solutions that will fit best in Elastic.
• Tooling: improve our infrastructure and help scale to accommodate larger models: provide expert guidance on distributing data preparation, training and testing on multiple GPUs, help design, improve and write specs for our compute infrastructure
• Model variants exploration: investigate applying fine-tuning, quantization, distillation and other techniques to existing or upcoming models.
• Technical leadership: foster a culture of innovation and rigorous experimentation, coordinate knowledge sharing within the team; act as a senior technical authority and go-to expert for the modeling, training and testing challenges; mentor more junior members of the team helping them develop their skills and knowledge
• Communication: interact with various leads across the organization, communicate sophisticated concepts to high profile stakeholders, adjust and iterate on the roadmap according to internal and external inputs.

• Excellent comprehension of the industrial and academic state of the art on xLMs, more specifically in retrieval and reranking techniques
• Extensive professional experience in designing, training, and debugging various model architectures as well testing and implementing post-training strategies; proven track record of assessing, proposing and integrating frontier techniques to large scale products.
• 6+ years of professional software development experience in Python (pytorch).
• Experience with large-scale model training (between 0.1 and 7B parameters), distributed training, and model optimization techniques (e.g., quantization, pruning, efficient attention mechanisms).
• Excellent communication skills and gentle approach to leadership
• Strong attention to detail and highly organized

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. The typical starting salary range for new hires in this role is listed 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.

The typical starting salary range for this role is:

$154,000—$243,600 CAD

We're looking to add a Senior Product Manager to the Platform Team for the Elastic Stack and Elastic Cloud, the official managed service for running Elasticsearch. In this role you will be responsible for defining and delivering core services and components for which our search, observability, and security user experiences are built off of. You will help create and maintain amazing user experiences that help data admins manage their data in Elastic at scale. To be successful, you will bring a strong eye for all things UX, be technically minded, and thrive in cross-functional environments–building consensus across varied stakeholders and use cases.

• Partner to define the vision and strategy for Data Management in Elasticsearch and Kibana and to develop the overall data admin experience
• Partner with Elastic Solution teams across the organization to deliver great user experiences for the data manager personas that simplifies what it means to manage data in Elastic at scale
• Gathering, synthesizing, and disseminating feedback from internal and external customers and the community to develop product insights and support business requirements
• Work closely with our engineering tech leads and UI/UX designers on detailed API design, technical specifications, and high level requirements
• Develop detailed use-cases and product requirements, working closely with engineering teams through the design, development, and release processes
• Define and measure product metrics to monitor performance and growth
• Support product marketing and sales enablement to craft customer-focused messaging and content

• You have 2+ years in product management for a SaaS products and have a deep understanding of SaaS products
• Experience in data management areas of SaaS data platform products
• Excellent ability to distill complex concepts into clear API designs and requirements with a focus on detailed technical domain design
• Strong sense for what makes great UX and technical design. Demonstrate experience working closely with engineering and design teams to collaborate on details
• The ability to dive deeply into the technical understanding of how a product works.
• Open source experience and knowledge of the Elastic Stack, particularly Elasticsearch and Kibana is also a plus
• Excellent spoken and written English communication skills
• Experience or willingness to work in a distributed organization

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. The typical starting salary range for new hires in this role is listed 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.

The typical starting salary range for this role is:

$143,300—$188,000 CAD

• 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