We're looking for a Lead Analytics Consultant to serve as a strategic partner and trusted analytics advisor to our clients. You will work with clients and internal teams to make sense of ambiguous business problems and turn them into clear analytics strategy. Deep expertise in Adobe Analytics and Adobe Customer Journey Analytics (CJA) is essential to this role, but what sets our consultants apart is the ability to pair that technical fluency with strong communication and a genuine talent for finding the story in the data.

Information Security Responsibilities

• Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
• Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
• Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Role and Responsibilities: Analytics Design & Implementation

• Strategise and design analytics implementations for Adobe Analytics and Adobe Customer Journey Analytics in partnership with clients, analytics engineers and developers
• Conduct measurement strategy workshops and gather requirements to inform analytics strategy
• Audit existing implementations of Adobe Analytics and Adobe Customer Journey Analytics
• Produce and maintain analytics documentation (BRDs, SDRs, TDDs)
• Understand the analytics instrumentation process and make best-practice recommendations to improve data capture in Adobe Analytics and CJA
• Configure report suites in Adobe Analytics in accordance with analytics requirements and web tracking
• Configure multi-channel implementations of CJA, including connections, data views and other components. Understand identity resolution concepts and requirements

Insights, Data Storytelling

• Dig into the data to uncover insights that matter to the business, not just what's easy to report
• Build dashboards and reporting in Adobe Analytics and CJA Workspace that tell a clear story
• Translate findings into narratives that executives and marketing leaders can act on

Client Strategy & Partnership:

• Act as a trusted advisor to marketing leaders, internal teams, and client stakeholders, guiding analytics strategy rather than just fulfilling requests
• Translate ambiguous client needs into structured, workable analytics solutions
• Make sure client expectations are met and results are consistently delivered
• Explain complex ideas clearly in speech and writing to both technical and non-technical audiences
• Present analytics findings and run hands-on, customized training sessions for clients and internal teams

Adaptability & Growth:

• Handle a fast-paced environment and work through technical and business challenges as they come up
• Prioritise well, focusing on the work that actually moves the needle
• Stay involved in the analytics community through meet-ups, conferences, blogs, or open-source work

Preferred Qualifications:

• 5+ years of experience working in an agency environment
• 5+ years of working with Adobe Analytics and Adobe Customer Journey Analytics
• Solid grasp of the analytics implementation process, reporting, and analysis
• Adobe Analytics certification and Adobe Customer Journey Analytics certification
• Exposure to other AEP solutions (RT-CDP, AJO) is a plus

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We are looking for a Senior Full Stack Engineer with strong hands-on expertise in React, Node.js, and SQL who can take end-to-end technical ownership of an application.

Responsibilities

• Take end-to-end technical ownership of the application across React frontend, Node.js backend, SQL database, APIs, and integrations.
• Design, develop, enhance, and maintain scalable and reliable application solutions.
• Translate business requirements into appropriate technical designs and implementations.
• Make technical decisions considering scalability, performance, security, maintainability, and reliability.
• Actively contribute to development and handle technically complex implementation tasks.
• Review code and designs to ensure engineering quality and adherence to standards.
• Guide and mentor developers on implementation approaches and engineering best practices.
• Identify and address technical debt, performance bottlenecks, architectural gaps, and security concerns.
• Troubleshoot complex application and production issues and drive root-cause resolution.
• Collaborate with Product, QA, DevOps, Architecture, and other stakeholders throughout the delivery lifecycle.
• Ensure appropriate testing, monitoring, logging, documentation, and production readiness.
• Continuously improve the overall quality, performance, stability, and maintainability of the application.

Information Security Responsibilities

• Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols.
• Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets.
• Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.).
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information.

Requirements

• 6+ years of software development experience, preferably in full-stack application development.
• Strong hands-on experience with React, Node.js, JavaScript/TypeScript, and SQL.
• Experience owning or playing a key technical role in medium-to-large applications.
• Experience across the complete SDLC: requirements, design, development, testing, deployment, and production support.
• Experience troubleshooting complex issues across frontend, backend, database, and integration layers.
• Experience conducting code reviews and mentoring/guiding other engineers.

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This role is designed for a seasoned marketing technology leader who combines deep platform expertise with strong client advisory skills, and who is equally comfortable shaping strategy, architecting solutions, and contributing directly in a billable capacity across client engagements.

The Director is expected to bring strong Adobe expertise alongside working knowledge of complementary marketing technology platforms and patterns, including CRM, CDP, marketing automation, analytics, and personalization technologies.

Information Security Responsibilities

• Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
• Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
• Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Role and Responsibilities: Multi-Solution Architecture and Strategy

• Serve as a senior, consultative marketing technology architect across multiple platforms and solutions
• Lead the design of scalable, data-driven marketing technology architectures that support both B2B and B2C customer journeys
• Architect solutions spanning CDP, marketing automation, journey orchestration, analytics, personalization, and CRM integrations
• Provide architectural guidance across dominant Adobe platforms as well as complementary technologies where appropriate
• Translate business objectives into platform architectures, data models, integration patterns, and activation strategies
• Maintain awareness of evolving MarTech capabilities, ecosystem trends, and emerging technologies

Client Advisory and Billable Delivery

• Act as a trusted, consultative advisor to client stakeholders, guiding platform selection, roadmap planning, and architectural tradeoffs
• Maintain an active billable role across client engagements, contributing directly to discovery, solutioning, and delivery oversight
• Lead client workshops, discovery sessions, demos, and executive presentations
• Partner with delivery teams to ensure solutions are implemented in alignment with architectural intent and best practices
• Support escalation, troubleshooting, and course correction on complex marketing technology programs

Pre-Sales, Growth, and Partnerships

• Partner with client service and business development teams to support pursuits, pitches, and account expansion
• Support pre-sales solutioning through consultative discovery, estimates, and solution narratives
• Identify opportunities to create packaged offerings, accelerators, and repeatable solution patterns
• Collaborate with platform partners, including Adobe and other MarTech vendors, on roadmap awareness, co-innovation, and solution alignment

Governance, Enablement, and Thought Leadership

• Guide clients in establishing marketing technology governance models, operating models, and Centers of Excellence
• Define best practices for data stewardship, consent management, orchestration, and measurement
• Provide thought leadership in the marketing technology space, helping position Bounteous as a trusted partner for enterprise MarTech transformation
• Mentor architects and senior practitioners, contributing to internal enablement, frameworks, and best-practice playbooks

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Responsibilities:

• Take end-to-end ownership of DevOps and deployment processes across development, QA, staging, and production environments.
• Design, build, maintain, and continuously improve CI/CD pipelines to enable reliable and automated application delivery.
• Provision and manage cloud infrastructure using Infrastructure as Code and automation.
• Manage containerized workloads and Kubernetes environments.
• Automate repetitive infrastructure, deployment, configuration, and operational activities.
• Partner with engineering teams to improve build, release, and deployment processes.
• Establish and maintain effective monitoring, logging, alerting, and observability across applications and infrastructure.
• Ensure infrastructure and deployment processes follow appropriate security, scalability, availability, and reliability practices.
• Troubleshoot complex infrastructure, deployment, networking, and production issues and drive root-cause resolution.
• Implement appropriate backup, recovery, high-availability, and disaster-recovery practices.
• Monitor infrastructure performance, availability, capacity, and cloud resource utilization.
• Identify opportunities to improve cloud cost efficiency and resource optimization.
• Conduct technical reviews and guide development teams on DevOps and cloud best practices.
• Maintain technical documentation, operational procedures, and deployment/runbook documentation.
• Continuously improve platform stability, deployment efficiency, security, automation, and developer experience.

Requirements:

• 6+ years of experience in DevOps, Cloud Engineering, SRE, or Infrastructure Engineering.
• Strong hands-on experience with cloud platforms such as AWS, Azure, or GCP.
• Experience designing, implementing, and maintaining CI/CD pipelines for enterprise applications.
• Experience with Infrastructure as Code (IaC) and automated infrastructure provisioning.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Experience managing production environments and troubleshooting complex deployment, infrastructure, and application issues.

Must-Have Skills:

• Strong expertise in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or equivalent.
• Strong cloud experience with AWS, Azure, or GCP.
• Hands-on experience with Docker and Kubernetes.
• Strong knowledge of Infrastructure as Code, preferably Terraform.
• Experience with scripting using Python, Bash, PowerShell, or equivalent.
• Strong understanding of Git and branching/release strategies.
• Experience with Linux administration and troubleshooting.
• Strong understanding of networking concepts including DNS, load balancers, firewalls, SSL/TLS, and connectivity.
• Experience with application and infrastructure monitoring, logging, alerting, and observability.
• Understanding of DevSecOps practices, secrets management, access controls, and vulnerability management.
• Strong troubleshooting, analytical, and root-cause analysis skills.

Good-to-Have Skills:

• Experience with Helm and Kubernetes package/deployment management.
• Experience with configuration management tools such as Ansible.
• Knowledge of microservices and cloud-native architectures.
• Experience with monitoring platforms such as Datadog, Splunk, Grafana, Prometheus, or ELK.
• Exposure to service mesh and API gateway technologies.
• Understanding of database deployment and migration processes.
• Experience implementing disaster recovery, backup, high availability, and business continuity solutions.
• Familiarity with SRE practices, SLIs/SLOs, capacity planning, and performance optimization.
• Relevant cloud, Kubernetes, or DevOps certifications are advantageous.

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In this role, you will serve as a strategic consultant helping organizations translate business goals into scalable CDP use cases that enable audience activation, personalization, and cross-channel engagement.

The consultant leads discovery efforts, supports activation strategies, and partners with business and technical teams to design solutions that deliver measurable marketing outcomes.

Success in this role requires a strong consulting mindset, a passion for marketing technology, and the ability to translate complex technical concepts into clear insights for clients and internal teams.

Information Security Responsibilities

• Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
• Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
• Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Role and Responsibilities:

• Serve as the day-to-day platform consultant for clients, providing strategic guidance on Customer Data Platform (CDP) capabilities, use cases, and activation strategies
• Develop a deep understanding of each client’s business objectives, marketing strategy, and available customer data to ensure CDP initiatives support measurable marketing outcomes
• Lead discovery sessions, stakeholder interviews, and requirements gathering to identify opportunities for CDP-driven marketing use cases
• Translate marketing and business requirements into clear CDP business and technical requirements for identity resolution, data governance, data modeling, data ingestion, segmentation, channel activation, and audience reporting in partnership with Solution Architects and engineering teams
• Support product and strategy teams to prioritize activation-focused CDP use cases that support segmentation, personalization, and cross-channel customer engagement
• Define activation strategies that leverage downstream orchestration channels such as paid media, email, SMS, web personalization, and other channels commonly found in marketing automation platforms
• Partner with other platform consultants to create and maintain solution documentation for CDP and orchestration platforms
• Serve as the platform subject matter expert for each client’s CDP implementation, advising on platform capabilities, limitations, and best practices
• Manage incoming platform-related requests and collaborate with internal teams to prioritize and deliver CDP enhancements and activation initiatives
• Work closely with the Project Management team to coordinate delivery timelines and manage multiple concurrent initiatives
• Provide hands-on guidance and enablement to client teams, helping them operationalize CDP capabilities and maximize value from their marketing technology investments

Preferred Qualifications:

• 5+ years of experience working in an agency environment; strong consulting, and client-facing skills
• 3+ years of experience working with CDPs, specifically Adobe RTCDP
• Strong understanding of customer data platforms and the modern data infrastructure
• Hands-on experience configuring Adobe Real-Time CDP, including creating complex audiences
• Familiarity with all Adobe applications is strongly preferred
• Experience with Adobe Tags (formerly called “Launch”) and AEP SDK implementation is a plus
• Experience with analytics tools like Google Analytics or Customer Journey Analytics is a plus
• Experience with data visualization tools such as Tableau, PowerBI, etc. is a plus
• Experience with marketing automation tools is a plus
• Experience with A/B testing tools is a plus
• College degree in Marketing, Business, Analytics, Data Science or related field

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Responsibilities:

• Oversee the piercing customer journey from start to finish
• Provide a calm and professional demeanor in piercing services
• Act as an ambassador of Mejuri and promote customer awareness about the brand
• Ensure insights and opportunities related to piercing products and services are communicated back to the Store Manager & Store Services
• Work closely with the Store Manager on consistent improvements to the flow and process of the Mejuri piercing studio
• Update the schedule and online booking service with store staff
• Explain proper aftercare to each client and inform them of signs and symptoms of infection
• Thoroughly explain service procedures and risks to clients
• Lead by example and validate the quality of the in-store customer experience
• Ensure positive customer experience and promotion of services offerings

Operations:

• Oversee and manage all aspects of the piercing studio
• Support inventory management and feedback with Operations Lead & Store Services team
• Ensure health and safety standards are maintained
• Uphold legal compliance in all customer interactions
• Remain knowledgeable on Mejuri products and become an expert on the piercing jewelry assortment
• Support the check-up and downsizing process for each individual client
• Style, stack, and suggest products for piercing clients
• Build piercing appointment occupancy through promoting, educating, and driving awareness of our piercing studio

Requirements:

• 2+ years of experience with needle piercing
• Experience working with threadless jewelry
• Up-to-date with First Aid and Blood-borne Pathogens OSHA Certifications
• Experience working with an autoclave or statim
• Local law enforcement registration or meeting requirements by area for permits
• Understanding of local market piercing law requirements
• Strong knowledge of health and safety protocols surrounding piercing procedures
• Demonstrated understanding of service excellence in a consumer environment
• Excellent communication & customer service skills

Benefits:

• Comprehensive medical, dental, and mental health coverage
• Paid time off – inclusive of vacation and sick days
• 4 months of 80% parental leave salary top-up and personalized return to work plans
• 100% of tips earned
• Regular feedback via performance reviews
• A robust in-house retail learning program
• Generous product discount!

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The anticipated base salary range for Store Manager opportunities across Canada is $80,000–$120,000 CAD, depending on factors such as location, experience, and qualifications.

Responsibilities and requirements will vary depending on the specific opportunity. If a Store Manager opportunity becomes available that aligns with your experience, interests, and location preferences, the Talent Acquisition team will reach out to explore next steps.

Mejuri values include:

• RAISE THE BAR: Stay curious, share/seek feedback, and strive for excellence
• CUSTOMER OBSESSED: Prioritize customers in decision-making
• EMPOWERED OWNERS: Treat the company like your own and take initiative
• FIND A WAY: Seek simple, creative solutions and act fast
• DRIVE RESULTS: Be clear on goals and relentless in achieving them
• TEAM FIRST: Value team success over personal ego

Mejuri is committed to responsible sourcing, sustainable practices, and philanthropic initiatives.

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Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to lead competitive benchmarking initiatives within the Elasticsearch Performance team.

You will develop representative workloads, automate reproducible experiments, and investigate how Elasticsearch compares with alternative systems. Your work will identify performance strengths, gaps, and tradeoffs, guide engineering improvements, and help customers make informed technical decisions.

Responsibilities

• Own prioritized competitive benchmarking initiatives across search, vector and hybrid retrieval, and analytical and observability workloads.
• Build and maintain automated benchmark harnesses, datasets, query sets, and load profiles that reflect real-world usage, including concurrent ingestion and querying.
• Design fair comparisons with documented system versions, configurations, tuning decisions, resource budgets, and functional differences.
• Evaluate latency distributions, throughput, resource consumption, and cost efficiency. For retrieval workloads, measure performance at comparable recall or relevance targets.
• Adapt and extend workload-appropriate tools such as Elasticsearch Rally, ClickBench, and vector search benchmark frameworks.
• Investigate performance differences using profiling, system metrics, and controlled experiments; collaborate with engineering teams to identify causes and validate improvements.
• Evaluate relevant self-managed and managed cloud deployments, including serverless offerings, accounting for scaling behavior and service constraints.
• Work with engineering and technical content partners to publish reproducible benchmark artifacts and clear technical reports that explain methodology, findings, limitations, and tradeoffs.
• Partner with engineering and product management to prioritize benchmark coverage and translate findings into actionable product improvements.

Requirements

• Solid software engineering skills, with experience building maintainable automation and analysis tools in Python or another relevant programming language.
• Hands-on experience evaluating and diagnosing performance in distributed systems, databases, or search infrastructure.
• Depth in at least one relevant area (search, vector retrieval, analytical databases, or observability systems) and the ability to learn unfamiliar systems.
• Experience designing representative datasets and workloads, including query patterns, concurrency, and ingestion behavior.
• Sound experimental judgment, including repeated measurements, variability analysis, warm-up and cache effects, and the distinction between meaningful changes and measurement noise.
• Experience building reproducible test environments and documenting configurations, procedures, and results.
• Clear technical writing and communication skills, with the ability to explain complex findings and their limitations.
• Solid collaboration skills and the ability to turn performance evidence into applicable engineering recommendations.

Nice to Have

• Experience with Elasticsearch, Lucene, Rally, ClickBench, or vector search benchmark frameworks.
• Experience measuring retrieval quality alongside latency, throughput, and resource usage.
• Familiarity with cloud performance and cost analysis, including autoscaling and serverless systems.
• Public technical writing, open-source contributions, or published benchmark studies.

Compensation

The typical starting salary range for this role is: $128,300-$203,000 CAD

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

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You will participate in coding, crafting solutions, debugging sophisticated failure scenarios, and prioritizing bug fixes and features. You'll analyze the current system, its strength and limitations.

Responsibilities:

• Guide cross-team technical designs and help create a team-wide high level architecture
• Lead best practices for development, ensuring a reliable, scalable foundation and an engaging user experience for our customers
• Contribute and lead technical plans and direction within our team and across other product teams in Elastic
• Be part of a distributed team of engineers from all across the globe
• Collaborate with other teams within Elastic

Requirements:

• 5+ years of experience as a software engineer, with a track record of delivering high-quality code
• Previous experience providing pragmatic technical leadership for a group of engineers
• Knowledge of back-end languages such as Scala, Java or Go
• Technical depth in one or more technologies relevant for SaaS (orchestration, networking, containers, etc.)
• Passion for automation and quality

Benefits:

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact
• We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

The typical starting salary range for this role is: $128,300-$203,000 CAD

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We're looking for a Principal Product Manager to lead the strategy and roadmap for Elastic's embedding/reranking and vector database and related capabilities. In this senior role, you'll be the go-to expert on search/vector search, guiding the direction for technologies like vector indexing and hybrid retrieval.

Responsibilities

• Conduct market research to uncover emerging trends in search/vector databases as well as SOTA model research in emerging areas to manage unstructured data, working alongside our model team.
• Evaluate the competitive landscape to enhance product positioning and develop user personas that guide feature decisions.
• Collaborate with cross-functional teams to align the product strategy with business goals while prioritizing features based on customer feedback and market demands.
• Establish long-term product goals and milestones for the vector use cases, document AI and unstructured data management to drive its development.
• Own the vision, strategy, and multi-quarter roadmap for Elastic's vector database as well as core search use cases, from low-level indexing internals to the developer-facing APIs and SDKs.
• Partner deeply with engineering and applied research on trade-offs, be a credible technical peer in those conversations.
• Define a unified strategy and roadmap across embedding/reranking models and vector indexing/ semantic ingestion, model lifecycle, and end-to-end retrieval quality.
• Manage the operating cadence.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field
• Master's degree in a relevant discipline preferred
• 8+ years in product management, with significant time on technical infrastructure, databases, search, or ML/AI platforms.
• Good working knowledge of vector search fundamentals.
• Working knowledge of generative models, model fine tuning, model capabilities and document processing for large corpus.

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

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As Director of Product Management, Observability, you will own Streams end to end and lead the PM team behind it. Your job is to make Elastic the easiest platform to bring data to, for every solution and every customer.

Responsibilities

• Own the strategy and roadmap for data collection, ingestion, processing and routing, and the integrations framework.
• Define and track KPIs focused on product and feature adoption.
• Partner with Observability, Security, and Search product leaders to provide a shared service everyone can leverage.
• Make getting data ingestion self-service, with time-to-first-data measured in minutes.
• Lead a team of distributed product managers and enable them to deliver measurable outcomes.
• Drive roadmap priorities by working with customers, internal teams, and the community.
• Work with engineers and designers to scope and define compelling features.
• Enable sales, marketing, and partners with clear messaging and positioning.

Requirements

• 10+ years in product management, including 4+ years leading PM teams in data infrastructure, observability, or data pipelines.
• Deep technical fluency in telemetry ingest: OpenTelemetry, Prometheus, log processing, routing, and agent management.
• Experience shipping SaaS products with usage-based pricing, and building platform capabilities shared by several product lines.
• Excellent verbal and written communication skills.
• Familiarity with the Elastic Stack is a plus.

Benefits

• Competitive pay based on the work you do here and not your previous salary.
• Health coverage for you and your family in many locations.
• Ability to craft your calendar with flexible locations and schedules for many roles.
• Generous number of vacation days each year.
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service.
• Up to 40 hours each year to use toward volunteer projects you love.
• Embracing parenthood with minimum of 16 weeks of parental leave.

The typical starting salary range for this role is: $192,500-$304,500 CAD

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As a Senior Operations Manager, you will own the end-to-end onboarding process for new Luxe listings, build and run new listing acquisition and onboarding approaches, and partner cross-functionally to hit the team's growth targets. You will also drive shared programs with peer leads, represent the team in leadership settings, and track key metrics for your programs.

Responsibilities:

• Own and continuously improve end-to-end onboarding operations to meet the pace and quality the business requires
• Build and run new listing acquisition and onboarding approaches in partnership with Sales and other cross-functional teams
• Identify and close gaps in tooling and process so the team runs on durable systems rather than manual workarounds
• Manage program budgets and vendor relationships, including selecting external partners as needed
• Drive shared programs with peer leads from planning through execution, taking on new projects as team priorities evolve
• Represent the team in internal team meetings, cross-functional forums, and leadership settings as needed
• Track the key metrics for your programs, diagnose the drivers when performance slips, and identify and pull the levers to get back on track

Requirements:

• 8+ years of experience in program/operations management, sales or revenue operations, or supply chain operations in a high-growth, cross-functional environment
• Proven track record owning a pipeline or funnel end-to-end, from design through steady-state operation, including budget and vendor accountability
• Strong analytical and problem-solving skills, including building dashboards and using data to drive decisions
• Deep, hands-on experience with Salesforce, including building dashboards and reports, and diagnosing and resolving pipeline or automation issues
• Comfortable getting things done with a sense of urgency and adapting quickly to changing priorities to hit project goals and objectives
• Proven track record navigating a matrixed organization and building relationships to achieve goals with cross-functional teams
• Excellent written and verbal communication skills, with the presence and judgment to represent the team in leadership settings
• Excellent organizational skills with high attention to detail and quality

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Responsibilities:

• Manage the end-to-end integration process for new luxury listings
• Develop and implement new approaches to acquisition and integration in collaboration with sales and cross-functional teams
• Identify and address gaps in tools and processes to ensure sustainable systems
• Manage program budgets and supplier relationships
• Lead cross-functional programs and represent the team in leadership contexts
• Analyze key performance indicators and identify areas for improvement

Requirements:

• At least 8 years of experience in operations, sales, or supply chain management
• Proven experience in managing a pipeline or funnel from design to steady-state operation
• Strong analytical and problem-solving skills, including data analysis and dashboard creation
• Experience with Salesforce, including dashboard creation and reporting
• Excellent communication and organizational skills
• Ability to work in a fast-paced environment and adapt to changing priorities

We offer:

• Competitive salary ($122,000 - $128,000 CAD per year)
• Bonus and equity opportunities
• Benefits and employee travel credits

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As a Senior Developer Advocate with a focus on content creation, you will publish deep-dive videos that connect search, vector databases, and agentic workflows. You will stay up to date with the latest trends in search and AI or observability to cover what's new and exciting for our users. You will build open-source demos and example applications on GitHub that combine Elasticsearch with developer and AI tools.

Your activities will include:

• Create high-quality technical videos focused on search, AI/ML, observability and Elasticsearch as a platform.
• Explore and explain how Elasticsearch integrates with other tools and protocols in the ecosystems.
• Prototype and publish sample applications showing end-to-end Search + AI or observability use cases.
• Bring a creative twist to Elastic's content creation to keep existing users engaged and capture new audiences.
• Provide feedback to product and engineering teams based on your hands-on experience and community interactions.

To be successful in this role, you will need:

• A proven track record of creating highly technical and engaging videos.
• Strong technical background and experience in an engineering role.
• Empathy for the community to help them solve their issues, provide internal feedback to make Elastic’s products better, and fix problems where possible.
• Comfortable working with a highly distributed team.
• Experience working self-driven and self-organizing.
• Excellent spoken and written communication skills in English.

The typical starting salary range for this role is: $122,300-$172,300 CAD.

Benefits include:

• Competitive pay
• Health coverage for you and your family
• Flexible locations and schedules
• Generous number of vacation days
• Increase your impact - We match up to $2000 for financial donations and service
• Up to 40 hours each year to use toward volunteer projects
• Embracing parenthood with minimum of 16 weeks of parental leave

XML job scraping automation by YubHub

Responsibilities

• Own AI Workflows End to End: Design agentic and LLM-based systems that combine extraction, retrieval, reasoning, and tool use to complete multi-step work, with clear human-in-the-loop points
• Build Reliable AI in Production: Build production-grade LLM pipelines, integrate AI services cleanly with Jeeves's backend, and manage cost and latency across models
• Measure, Monitor, and Improve: Build evaluation sets and automated evals for every workflow you own, instrument AI components with logging, tracing, dashboards, and alerts, and keep an audit trail of AI decisions
• Raise the Bar for AI Engineering at Jeeves: Set patterns, shared tooling, and practices that other engineers can build on, show the wider team how to use coding agents and AI tools well in day-to-day engineering, and review peers' AI system designs

Minimum Requirements

• 7+ years of professional software engineering experience, including at least 2 years building and operating LLM or AI-powered systems in production
• A track record of owning a large system or workflow end to end, from scoping and design through launch and iteration, with limited direction
• Hands-on experience shipping LLM-powered applications with APIs such as Anthropic, OpenAI, or similar
• Experience designing agentic or multi-step AI workflows
• Strong proficiency in Python, plus solid backend fundamentals: REST APIs, PostgreSQL or similar relational databases, async patterns, and a major cloud provider
• Experience with observability for AI systems: logging, tracing, dashboards, and quality monitoring
• Professional fluency in English, written and spoken

XML job scraping automation by YubHub

As part of this mission, we partner with rapidly scaling AI, SaaS, and digital-first organizations to build elite commercial teams capable of driving predictable revenue.

This opportunity is with one of our high-growth partner companies , a business operating at the forefront of outbound-led revenue generation and high-ticket B2B sales.

The Opportunity We are hiring a high-performing B2B Sales Representative (Cold Email Outbound Closer) on behalf of one of our clients. This is a full-cycle closing role responsible for converting outbound-generated leads into qualified opportunities, running executive-level sales conversations, and closing mid-to-high-ticket deals.

This role is ideal for commercially sharp sellers who thrive in performance-driven environments and know how to turn cold outreach into real revenue. Fluent English and executive communication confidence are mandatory.

Work Model: Remote | Full-Time (9 hours/day minimum)

What You’ll Own

• Run discovery and sales calls with outbound prospects
• Execute the full sales cycle: qualification → discovery → demo → negotiation → close
• Convert cold email leads into revenue opportunities
• Apply structured qualification frameworks to assess deal viability
• Lead objection handling and commercial negotiations
• Deliver high-impact, ROI-focused product demonstrations
• Send proposals, manage follow-ups, and secure signed agreements
• Maintain a consistently healthy pipeline
• Update CRM daily and manage sales administration (~1 hr/day)
• Provide structured end-of-day pipeline reporting
• Partner with SDR and leadership teams to optimize outbound performance

Requirements

Experience

• 2–3+ years proven B2B sales experience with documented quota achievement
• Full-cycle sales experience (mandatory)
• Strong outbound experience (cold email/cold outreach)
• Closed mid-to-high-ticket deals
• Experience in consultative, not transactional, selling

Skills

• Fluent English (A Must Have)
• Strong discovery, qualification, and negotiation skills
• Able to uncover real problems and identify red flags early
• Handles pressure well and reframes concerns effectively
• Commercially strong; understands business models, ROI, and executive communication
• Strong written and verbal communication

Mindset

• High resilience and rejection tolerance
• Takes full ownership of pipeline and results
• Money-motivated and driven to win
• Problem-solver who figures things out independently
• Coachable but not dependent on micromanagement
• Follows processes and contributes improvements

Success Metrics

• 6+ discovery calls/day
• 15+ sales calls/week
• 60%+ discovery → sales call conversion
• 25–30% sales call → closed deal conversion
• 20–30% disqualification rate
• 15 deals closed/month
• 100%+ quota attainment
• Pipeline always accurate and updated

Benefits

Why This Role Stands Out

• Competitive full-time compensation
• Fully remote flexibility
• Direct impact on revenue growth
• Work alongside experienced commercial leaders
• Operate in a high-performance sales culture
• Significant upside for top performers
• Long-term growth within a scaling global business

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Starlink delivers high-performance connectivity with the power to transform Canada’s largest enterprises, critical infrastructure, and organisations.

The primary focus of this role is large enterprise and Top Fortune accounts, with secondary coverage of SLED and government opportunities. The ideal candidate is a high-performing hunter who thrives in a greenfield environment, builds strong relationships with Canada’s largest enterprise organisations and ecosystems, and consistently wins complex deals.

Responsibilities:

• Own and exceed revenue targets for assigned Canadian territory/accounts with full accountability for pipeline and closed business
• Develop and execute territory strategy focused primarily on large enterprise and Top Fortune accounts, followed by high-value SLED and government opportunities
• Build a robust pipeline primarily through outbound prospecting, networking, and leveraging channel partners
• Conduct discovery and new business meetings, qualify opportunities, and clearly communicate Starlink’s value proposition
• Build and maintain strong relationships with key decision-makers at Canada’s largest enterprise organisations
• Deliver compelling proposals and lead winning sales campaigns from first contact through close
• Collaborate closely with resellers, channel partners, and internal teams (including the Canada Director, product, market access, and support) to co-sell and expand opportunities
• Maintain accurate CRM hygiene, manage sales activity, and deliver weekly reports and quarterly business reviews
• Represent Starlink professionally in customer meetings, partner engagements, and industry events across Canada

Basic Qualifications:

• Bachelor’s degree
• 7+ years of enterprise sales experience

Preferred Skills and Experience:

• Proven enterprise sales track record of consistently exceeding revenue targets
• Experience selling complex technology, connectivity, or telecommunications solutions into large enterprise / Top Fortune accounts
• Strong existing relationships or experience working within Canada’s largest enterprise organisations and ecosystems
• Experience with Canadian SLED (provincial, municipal, education) or government accounts as a secondary strength
• Sense of urgency and ability to thrive in a dynamic, high-growth environment
• Entrepreneurial mindset with strong ownership of business results
• High intellectual and emotional intelligence, integrity, and resilience
• Excellent communication, presentation, and relationship-building skills
• Highly detail-oriented, organised, and hardworking
• Strong interface skills with customers, resellers, and internal stakeholders
• Working knowledge of Starlink (or ability to quickly ramp) sufficient to communicate value to sophisticated enterprise buyers

Additional Requirements:

• Must be based in Canada (or willing to relocate)
• Must be available to work extended hours and weekends as needed
• Willingness to travel approximately 25–50% of the time across Canada to customers, partners, events, and other SpaceX locations as required

XML job scraping automation by YubHub

Starlink provides high-performance connectivity to transform Canada's largest enterprises, critical infrastructure, and organizations. The primary focus of this role is large enterprise and Top Fortune accounts, with secondary coverage of SLED and government opportunities.

Responsibilities:

• Own and exceed revenue targets for assigned Canadian territory/accounts
• Develop and execute territory strategy focused on large enterprise and Top Fortune accounts
• Build a robust pipeline through outbound prospecting, networking, and leveraging channel partners
• Conduct discovery and new business meetings, qualify opportunities, and communicate Starlink's value proposition
• Build and maintain strong relationships with key decision-makers at Canada's largest enterprise organizations
• Deliver compelling proposals and lead winning sales campaigns
• Collaborate with resellers, channel partners, and internal teams to co-sell and expand opportunities
• Maintain accurate CRM hygiene, manage sales activity, and deliver weekly reports and quarterly business reviews
• Represent Starlink professionally in customer meetings, partner engagements, and industry events across Canada

Basic Qualifications:

• Bachelor's degree
• 7+ years of enterprise sales experience

Preferred Skills and Experience:

• Proven enterprise sales track record of consistently exceeding revenue targets
• Experience selling complex technology, connectivity, or telecommunications solutions into large enterprise / Top Fortune accounts
• Strong existing relationships or experience working within Canada's largest enterprise organizations and ecosystems
• Experience with Canadian SLED or government accounts as a secondary strength
• Sense of urgency and ability to thrive in a dynamic, high-growth environment
• Entrepreneurial mindset with strong ownership of business results
• High intellectual and emotional intelligence, integrity, and resilience
• Excellent communication, presentation, and relationship-building skills
• Highly detail-oriented, organized, and hardworking
• Strong interface skills with customers, resellers, and internal stakeholders
• Working knowledge of Starlink (or ability to quickly ramp) sufficient to communicate value to sophisticated enterprise buyers

Additional Requirements:

• Must be based in Canada (or willing to relocate)
• Must be available to work extended hours and weekends as needed
• Willingness to travel approximately 25–50% of the time across Canada to customers, partners, events, and other SpaceX locations as required

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As an Account Manager at AI Acquisition, you will take over an existing portfolio of established client relationships. Your primary goal is to ensure these clients continue to progress, retain their services, and expand their usage.

Responsibilities

• Manage an established portfolio of legacy clients across various stages of maturity and engagement.
• Conduct regular check-ins, growth workshops, and strategic conversations with business owners.
• Focus on client retention by identifying potential risks and addressing issues proactively.
• Provide business consulting advice on offer framing, lead generation strategy, sales process, prospecting, closing, and fulfillment.
• Identify upsell opportunities and position them as natural next steps.
• Coordinate with cross-functional teams to ensure seamless service delivery.
• Maintain detailed documentation of all interactions, decisions, and next steps.

Requirements

• Native or near-native English fluency.
• Direct experience as a Customer Success Manager (CSM), account manager, or business consultant.
• Understanding of lead generation, sales funnels, and AI tools.
• Experience managing a portfolio of clients with a focus on retention and expansion.
• Comfortable with difficult conversations and providing honest feedback.
• Proactive problem-solving with a focus on proposing solutions.
• Ability to quickly absorb new information and become credible in front of clients.

What Success Looks Like

• Clients are progressing and achieving business results.
• Potential client risks are identified and mitigated.
• Thorough audits of client portfolios are conducted within a timely manner.
• Clients receive coaching on their business strategies.
• Rapid acquisition of product knowledge and adoption of new tools and processes.

Benefits

• High-performance, remote-first team environment.
• Direct access to department heads.
• Opportunities for rapid progression based on performance.
• Exposure to AI-led systems and tools.
• Autonomy and ownership over your client portfolio.

This role operates as an independent contractor engagement with an expected workload of 50 to 60 hours per week.

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The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely.

Responsibilities

• Own the production improvement loop for Context Engine: understand how extraction automations, retrieval tools and memory behave, based on offline evaluations and customer conversations and telemetry.
• Define how we iterate on agents and skills safely: versioning and rollout of prompts, skills and automations, regression coverage, staged and shadow evaluation, and the guardrails that let us change behaviour without breaking customers.
• Design the telemetry we need to make data-informed engineering decisions: what to capture from agent traces, tool calls and knowledge retrieval, how it lands in Elasticsearch, and how it feeds evaluation, dashboards and the feedback loop.
• Partner with the data science team on evaluation strategy: golden datasets, evaluators to gate on quality, latency and cost.
• Raise the bar across the team: review designs and PRs, mentor engineers in eval-driven development, and write the technical proposals that shape the roadmap.

Requirements

• 10+ years of software engineering experience, with the recent years spent shipping and operating AI-driven products on real production traffic.
• A track record of eval-driven product improvement: you have diagnosed agent or LLM behaviour from traces and user feedback, designed the evaluation that exposed the problem, shipped the fix and measured the outcome.
• Direct experience building agents with state and memory, and iterating on prompts, skills and tool behaviour safely in production.
• Familiarity with MCP, including exposing public MCP servers and tools.
• Experience designing telemetry for AI systems, and using it to make engineering and product decisions.
• Strong backend engineering skills in either Python or TypeScript: APIs, stateful workflows, data pipelines and production services.
• Comfort working with data scientists, engineers, and product managers as peers, translating between measurement and shipping, and communicating trade-offs clearly.

Benefits

• Competitive pay based on the work you do here and not your previous salary.
• Health coverage for you and your family in many locations.
• Ability to craft your calendar with flexible locations and schedules for many roles.
• Generous number of vacation days each year.
• Increase your impact.
• We match up to $2000 (or local currency equivalent) for financial donations and service.
• Up to 40 hours each year to use toward volunteer projects you love.
• Embracing parenthood with minimum of 16 weeks of parental leave.

The typical starting salary range for this role is: $154,000-$243,600 CAD

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We're looking for a Principal Software Developer to join the Elasticsearch - Search Infra team. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene.

As a Principal Software Developer, you will define, lead, and contribute to the evolution of core search and indexing capabilities. You'll research advances in search infrastructure, data structures, and retrieval algorithms to ensure we're building the most efficient and powerful foundations for our users.

Responsibilities

• Define, lead, and contribute to the evolution of core search and indexing capabilities.
• Research advances in search infrastructure, data structures, and retrieval algorithms.
• Work closely with partners and product teams to understand their needs and help shape the long-term technical vision for search at Elastic.
• Bring past experience with large-scale search systems to drive an innovative roadmap for Elasticsearch's indexing, query execution, and relevance layers.

Requirements

• Experience leading technical projects in the search infrastructure and distributed systems space.
• Experience mentoring expert engineers, providing both technical and professional guidance.
• Experience defining a long-term technical vision for a core search or retrieval system, working across teams and organizations.
• Hands-on experience with search and indexing technologies such as Elasticsearch, Lucene, or Solr.
• Strong skills in core Java and familiarity with advanced data structures and concurrency constructs.

Benefits

• Competitive pay based on the work you do.
• Health coverage for you and your family.
• Flexible locations and schedules.
• Generous number of vacation days each year.
• Company-matched Registered Retirement Savings Plan (RRSP).

The typical starting salary range for this role is: $154,000-$243,600 CAD

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The Senior Site Reliability Engineer (Observability & Analytics) role sits on the observability side of the Platform Observability & Analytics team. This team runs the infrastructure that tells Elastic the truth about its own platform. The observability clusters show Cloud engineers how production is behaving right now, and the analytics pipelines show the business how the platform and the products get used over time.

Responsibilities

• Own end-to-end delivery of moderate-to-high complexity projects on the team’s roadmap, with minimal day-to-day direction.
• Operate and harden shared Elastic Cloud infrastructure (ECH, ECE, and ECK) as Infrastructure as Code – writing and reviewing the Terraform, Python, and Go that other engineers depend on.
• Carry a 24/7 on-call rotation: respond to incidents, drive them to resolution, and write clear RCAs/postmortems that lead to lasting fixes rather than repeat pages.
• Review others’ code and designs, and be a trusted second set of eyes on production changes to critical infrastructure.
• Mentor less experienced engineers, and proactively raise risks, ideas, and improvements in team discussions.
• Improve runbooks, documentation, and operational processes so the on-call load gets lighter over time.

Requirements

• 5+ years of SRE, platform engineering, or infrastructure engineering experience.
• Proficiency with Terraform; comfortable owning large, multi-workspace configurations in a team setting.
• Strong software engineering fundamentals in Python; comfort with Go is a plus.
• Deep Linux systems knowledge and experience operating containerized workloads in production.
• Experience carrying a 24/7 on-call rotation, resolving incidents under pressure, and writing RCAs that hold up under review.
• A track record of consistently delivering end-to-end projects of moderate-to-high complexity with minimal oversight, and being a valuable code/design reviewer for your team.
• Comfort thinking about the security implications of the infrastructure you build, not just its reliability – you don’t need to be a security specialist, but you default to a security-conscious mindset.
• A pattern of mentoring less experienced engineers and speaking up with ideas and concerns in team discussions.
• Clear written and verbal communication – you document what you build and can explain it to both engineers and non-engineers.
• Comfort working across time zones, in both real-time and asynchronous contexts.

Benefits

• Competitive pay based on the work you do here and not your previous salary.
• Health coverage for you and your family in many locations.
• Ability to craft your calendar with flexible locations and schedules for many roles.
• Generous number of vacation days each year.
• Increase your impact – we match up to $2000 (or local currency equivalent) for financial donations and service.
• Up to 40 hours each year to use toward volunteer projects you love.
• Embracing parenthood with minimum of 16 weeks of parental leave.

Compensation

The typical starting salary range for this role is: $138,300-$185,900 CAD

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We're looking for a Senior Software Engineer to join the Elasticsearch - Analytical Engine team. This globally-distributed, completely remote team of senior engineers is responsible for building new analytics capabilities in Elasticsearch’s latest aggregation framework based on a completely new compute engine, and accessed via our new piped query language called ES|QL.

Responsibilities

• You'll be a full-time Elasticsearch contributor, building data-intensive new features and fixing intriguing bugs, all while making the code easier to understand.
• You'll work with a globally distributed team of experienced engineers focused on the search and query (ES|QL) analytics capabilities of Elasticsearch.
• You'll be an expert in several areas of Elasticsearch, and everyone will turn to you when they have a question about them.
• You'll work with community members from all over the world on issues and pull requests.
• You'll write idiomatic modern Java -- Elasticsearch is 99.8% Java!

Requirements

• Strong skills in core Java and familiarity with the standard library of data structures and concurrency constructs.
• Experience with software systems engineering.
• Desire to optimize and use efficient data structures and algorithms.
• Autonomy and ability to take on projects from beginning to end.
• Comfortable developing collaboratively and giving/receiving feedback on code.
• Experience with several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
• Excellent verbal and written communication skills.
• Proven track record of using AI to accelerate development, debug complex systems, and optimize code.

Nice to Have

• Experience with Elasticsearch.
• Background in search and information retrieval.
• Experience building data analytics capabilities.
• Leadership experience with cross-functional initiatives.
• Open-source project experience.

Compensation

• The typical starting salary range for this role is: $128,300-$203,000 CAD.
• Eligible to participate in Elastic's stock program.
• Company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings.

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The Security EDR Workflows team is in charge of building core capabilities that power Elastic Defend management experience. Our focus is on delivering policy configuration and management capabilities, Elastic Defend and third-party providers' response actions as forensics capabilities through OSquery.

As a Senior Software Engineer on the Security EDR Workflows team, you will help design and build workflows and user-facing capabilities that get to our Elastic Defend agent to protect and respond against security threats.

Responsibilities

• Design and implement features that power Elastic Defend user interface capabilities.
• Build and evolve APIs that allow our product to interact with Elastic Defend data.
• Contribute to the architecture of Elastic Defend management and response actions framework along with OSquery forensics capabilities.
• Develop scalable, high-performance systems within the Elastic ecosystem.
• Own the reliability, observability, and operational health of our features, from design to production.
• Write production-grade code in TypeScript/Node.js (and potentially other languages) as part of a high-quality, well-tested codebase.
• Collaborate with other Elastic engineering teams when working on cross-team efforts.
• Help with engineering standards, tooling, and team process improvements driven by AI usage.
• Participate in code reviews, technical design decisions, and ongoing improvements to engineering practices.
• Use AI to supercharge development work.

Requirements

• Solid programming experience in TypeScript/Node.js and React.js.
• Ability to take ownership of problems end-to-end: from clarifying requirements and proposing designs to delivering, monitoring, and iterating in production.
• Take advantage of AI for better comprehension of complex problems and quickly ramp up into solutions.
• Have an AI-powered development mindset.
• An initiative-taking mindset: ask the right questions, don't make assumptions, and look for ways to improve both product and engineering processes.
• Solid communication skills and the ability to explain complex and technical topics to both technical and non-technical partners.
• Comfortable developing collaboratively, giving and receiving feedback on code and approaches, even asynchronously over different time zones.

Nice to Have

• Experience and interest in contributing to or developing open-source projects.
• Knowledge of the Elastic stack and solutions.
• Experience in cybersecurity and forensics.

Benefits

• 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.

XML job scraping automation by YubHub

We're looking for a Principal Software Developer to join the Elasticsearch - Analytical Engine team. This expert team of engineers is responsible for building new analytics capabilities in Elasticsearch’s completely new compute engine, and accessed via our new piped query language called ES|QL.

As a full-time Elasticsearch contributor, you will define, lead, and contribute to the development of data-intensive enhancements. You’ll research the latest features, data structures, and algorithms in the industry to ensure we’re building the right capabilities for our users. You’ll work directly with our partners and product teams to understand their needs and build out a strategic vision for the longer term.

You will:

• Define, lead, and contribute to the development of data-intensive enhancements
• Research the latest features, data structures, and algorithms in the industry
• Work directly with partners and product teams to understand their needs
• Build out a strategic vision for the longer term
• Improve areas based on your questions and instincts

Requirements:

• Experience leading technical projects in data and enterprise architecture areas
• Experience mentoring expert engineers
• Experience defining a long-term technical vision for an area of a data-intensive application
• Hands-on experience with search and analytics APIs
• Strong skills in core Java
• Working with a high level of autonomy
• Experience with data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra
• Excellent verbal and written communication skills

Bonus Points:

• You've built things with Elasticsearch before
• Experience working with open source projects

Compensation for this role is in the form of base salary. The typical starting salary range for new hires in this role is $154,000-$243,600 CAD.

Benefits:

• Competitive pay
• Health coverage for you and your family
• Flexible locations and schedules
• Generous number of vacation days
• Increase your impact
• We match up to $2000 for financial donations and service
• Up to 40 hours each year to use toward volunteer projects
• Embracing parenthood with minimum of 16 weeks of parental leave

XML job scraping automation by YubHub

We are looking for an experienced UX Research Manager to join our growing UX Research team at Stripe. As a UX Research Manager, you will use your people-management and research expertise to lead a team of researchers that collaborates with product teams on core Payments and Risk products to build insight-driven product experiences.

Responsibilities

• Lead, manage, coach, and mentor a team of researchers conducting mixed-methods research throughout the product-development process for Stripe's Payments and Risk product pillar.
• Lead initiatives and guide the research team through artificial intelligence (AI) transformation in its internal processes, how it conducts research for Stripe users, and how it supports the changing needs of product partners.
• Share research insights that deepen Stripe's understanding of user needs and identify opportunities to meet those needs.
• Grow the team to meet Stripe's needs while developing individual contributors to deliver impactful, actionable research studies.
• Partner with Design and Stripe leadership to determine how to best use user research at Stripe and deepen our understanding of users.
• Work as a strategic partner to business leads, product managers, design leaders, and Stripe leadership. Define long-term strategy and short-term tactics for products by grounding decisions in user needs and insights.
• Prioritize research needs and approaches across multiple workstreams. Select the right project, scale, and scope at the right time, and deliver actionable insights.
• Enable other Stripes to learn and apply research skills by building research programs, platforms, and toolkits that support tactical research.
• Partner closely with other researchers to build Stripe's research practice and infrastructure, including sourcing research vendors to support your team's work.

Requirements

• 7+ years of relevant user research experience working on digital experiences and generating actionable insights that drive impact.
• 3+ years of people-management and leadership experience.
• Experience directly managing, coaching, and developing a team of user researchers, as well as recruiting and building research teams.
• Ability to set and achieve priorities that balance the needs of users, projects, the Research team, and Stripe.
• Experience conducting project work while mentoring and supporting a team of user researchers as they develop their craft and conduct research.

Preferred Qualifications

• Relevant experience in financial technology, particularly payment processing.
• Ability to motivate and inspire people to do their best work.
• Experience conducting complex research at scale using a range of methods, including qualitative interviews, surveys, ideation sessions, ethnographic field research, usability evaluations, and diary studies.
• Experience conducting primary research while mentoring and supporting a team of user researchers as they develop their craft and conduct research.
• Excellent written and verbal communication skills, including experience rolling out large-scale research programs.
• A consistent focus on users and their needs, with experience driving impact from insights.
• Understanding of the balance between speed and rigor, and how research translates into design, product, and business decisions. Ability to work with urgency and focus while adapting methodological rigor to the situation.
• Experience building or scaling research platforms, systems, or programs.

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We're looking for a Senior Software Developer to join the Elasticsearch - Search Relevance team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene.

What You Will Be Doing

• Lead initiatives within Elasticsearch to produce an industry-leading search engine 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.
• Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
• Be an expert on Elasticsearch search relevance. You'll identify and drive improvements in this area based on your questions and your instincts.
• Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring

• Professional experience with search or vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
• Solid skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.
• Ability to work with a high level of autonomy and take on projects and guide them from beginning to end.
• Comfortable developing collaboratively, giving and receiving feedback on code and approaches and APIs.

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

XML job scraping automation by YubHub

We're looking for a Senior Software Engineer to join the Elasticsearch - Search Relevance team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene.

What You Will Be Doing

• Lead initiatives within Elasticsearch to produce an industry-leading search engine 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.
• Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
• Be an expert on Elasticsearch search relevance.
• Work with community members from all over the world on issues and pull requests.
• Write idiomatic modern Java.

What You Bring

• 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 search or vector databases.
• Solid skills in core Java.
• Ability to work with a high level of autonomy.
• Comfortable developing collaboratively.
• Proven track record of using AI to accelerate development.

Bonus Points

• You've built things with Elasticsearch before.
• You've worked with open source projects.
• Experience with data storage technology.
• Experience designing, leading, and owning cross-functional initiatives.

The typical starting salary range for this role is: $128,300-$203,000 CAD

Additional Information - We Take Care of Our People

• Competitive pay.
• Health coverage for you and your family.
• Flexible locations and schedules.
• Generous number of vacation days each year.
• Increase your impact.
• Up to 40 hours each year to use toward volunteer projects.
• Embracing parenthood with minimum of 16 weeks of parental leave.

XML job scraping automation by YubHub

We're looking for a Principal Software Developer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene.

What You Will Be Doing

• Lead initiatives within Elasticsearch 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.
• 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.
• Work with community members from all over the world on issues and pull requests.
• Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring Along

• 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.
• You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end.
• You're comfortable developing collaboratively.
• You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
• You have excellent verbal and written communication skills.
• You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code.
• You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
• You work autonomously and can drive decisions and results in a distributed team.

Bonus Points

• 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.

Compensation The typical starting salary range for this role is: $154,000-$243,600 CAD.

Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity.

• Competitive pay based on the work you do here and not your previous salary.
• Health coverage for you and your family in many locations.
• Ability to craft your calendar with flexible locations and schedules for many roles.
• Generous number of vacation days each year.
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service.
• Up to 40 hours each year to use toward volunteer projects you love.
• Embracing parenthood with minimum of 16 weeks of parental leave.

XML job scraping automation by YubHub

We're looking for a Principal Software Developer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene.

What You Will Be Doing

• Lead initiatives within Elasticsearch 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.
• 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.
• Work with community members from all over the world on issues and pull requests.
• Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring Along

• Professional experience with vector similarity and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
• Strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs.
• You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end.
• You're comfortable developing collaboratively.
• You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
• Excellent verbal and written communication skills.
• Proven track record of using AI to accelerate development, debug complex systems, and optimize code.
• Possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
• Work autonomously and can drive decisions and results in a distributed team.

Bonus Points

• 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.

Compensation The typical starting salary range for this role is: $154,000-$243,600 CAD.

Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity.

• Competitive pay based on the work you do here and not your previous salary.
• Health coverage for you and your family in many locations.
• Ability to craft your calendar with flexible locations and schedules for many roles.
• Generous number of vacation days each year.
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service.
• Up to 40 hours each year to use toward volunteer projects you love.
• Embracing parenthood with minimum of 16 weeks of parental leave.

XML job scraping automation by YubHub

Elasticsearch powers search, observability, and AI retrieval for the world's largest organisations. We are seeking a Senior Software Developer to join the Elasticsearch Performance team. In this role, you will contribute to performance engineering initiatives through high-quality code and technical analysis. Your goal is to help improve the optimisation and predictability of Elasticsearch performance, collaborating with area-specific teams to enhance our software.

Responsibilities

• Contributing to core performance engineering initiatives from development to production, focusing on the delivery of impactful optimisations. Executing technical designs and plans for architectural and code-level performance improvements.
• Implementing foundational performance models and methodologies for complex, distributed systems.
• Supporting optimisation strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments.
• Profiling and analysing system behaviour to identify bottlenecks in logging, metrics, vector search, and ES|QL.
• Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures.
• Collaborating with peers across the team to apply performance-focused development practices into new features.
• Contributing to automation efforts by building AI-assisted optimisation harnesses that streamline profiling, hypothesis testing, and benchmarking.
• Providing technical guidance and peer reviews to other engineers, fostering a culture of technical excellence.

Requirements

• You have deep knowledge of Java internals and JVM memory management. You understand how concurrency models work. You can write code that is high-performance, thread-safe, and lock-free. This experience includes working with large open-source and enterprise codebases.
• You have proven experience in profiling and optimising distributed systems. This includes deep experience with benchmarking tools (e.g., JMH, Rally), identifying performance regressions, and implementing algorithmic or hardware-aware optimisations.
• You have a solid comprehension of distributed systems architecture, including partition tolerance, cluster state propagation, and scaling challenges in large-scale data stores.
• You have a proven track record of using AI or advanced tooling to accelerate optimisation, debug complex performance issues, and automate benchmarking workflows.
• You possess the ability to collaborate effectively within a team environment, contributing to the success of performance engineering goals.
• You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
• You can work autonomously, drive decisions, and result in a distributed team by leveraging asynchronous, direct, and transparent communication.

Nice to Have

• Experience integrating high-performance native libraries (e.g., C++, Rust, SIMD-accelerated code) into Java applications.
• Deep knowledge of modern storage engine performance, index modes, or vector search optimisations.
• Experience defining and managing Performance SLAs and success criteria for distributed systems.
• Experience working on the internals of a large-scale data store or search engine.
• Experience working on the internals of a data store or search engine.

Compensation

The typical starting salary range for this role is: $128,300-$203,000 CAD.

Benefits

• Competitive pay based on the work you do here and not your previous salary.
• Health coverage for you and your family in many locations.
• Ability to craft your calendar with flexible locations and schedules for many roles.
• Generous number of vacation days each year.
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service.
• Up to 40 hours each year to use toward volunteer projects you love.
• Embracing parenthood with minimum of 16 weeks of parental leave.

XML job scraping automation by YubHub

Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Principal Software Engineer to join the Elasticsearch Performance team. In this role, you will lead architectural and code-level performance engineering initiatives. Your goal is to drive the continuous optimization and predictability of Elasticsearch performance, partnering with area-specific teams to unlock the full potential of our software.

Responsibilities

• Owning core performance engineering initiatives from architecture to production, focusing on the delivery of high-impact optimizations. Leading the technical design, plan, and execution for major architectural and code-level performance improvements.
• Developing foundational performance models and methodologies for complex, distributed systems.
• Driving optimization strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments.
• Profiling and analyzing system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL.
• Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures.
• Collaborating across the company to embed performance-first thinking into new features from the outset.
• Drive automation efforts by designing and building AI-assisted optimization harnesses that streamline profiling, hypothesis testing, and benchmarking.
• Mentoring and coaching other engineers, fostering a culture of technical excellence and performance-aware development.

Requirements

• You have deep knowledge of Java internals and JVM memory management. You understand how concurrency models work. You can write code that is high-performance, thread-safe, and lock-free. This experience includes working with large open-source and enterprise codebases.
• You have proven experience in profiling and optimizing distributed systems. This includes deep experience with benchmarking tools (e.g., flamegraphs, JMH, Rally), identifying performance regressions, and implementing algorithmic or hardware-aware optimizations.
• You have a solid comprehension of distributed systems architecture, including partition tolerance, cluster state propagation, and scaling challenges in large-scale data stores.
• You have a proven track record of using AI or advanced tooling to accelerate optimization, debug complex performance issues, and automate benchmarking workflows.
• You possess the ability to collaborate across functions and teams, acting as a force multiplier for performance engineering across the organization.
• You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
• You can work autonomously, drive decisions and result in a distributed team by leveraging asynchronous, direct, and transparent communication.

Nice to Have

• Experience integrating high-performance native libraries (e.g., C++, Rust, SIMD-accelerated code) into Java applications.
• Deep knowledge of modern storage engine performance, index modes, or vector search optimizations.
• Experience defining and managing Performance SLAs and success criteria for distributed systems.
• Experience working on the internals of a large-scale data store or search engine.
• Experience working on the internals of a data store or search engine.

Compensation The typical starting salary range for this role is: $154,000-$243,600 CAD

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

XML job scraping automation by YubHub

We're looking for a Senior Software Engineer to join our Streams UI team, where you'll have the chance to shape and enhance our user interface, making it more intuitive and engaging for our users. In this role, you'll work on Fleet, the central management experience for Elastic Agent in Kibana, and Streams, our new tool for handling log data.

Responsibilities

• Design and implement intuitive user interface components that enhance user commitment, using TypeScript, React, and Node.js. Integrate front-end elements seamlessly with back-end services to ensure a smooth user experience. Conduct usability testing and gather user feedback to drive continuous improvements.
• Own complex, loosely-defined problems end-to-end: shape the approach, split the work if needed, make the key technical decisions, and deliver.
• Lead discussions on architecture and system design. During these discussions, consider trade-offs. Also, think about backwards compatibility, performance, and scale.
• Establish coding standards and ensure the team adheres to them throughout the development process. Promote reusable components to improve efficiency and implement automated testing and deployment to maintain code quality. Evaluate new technologies for potential integration and document best practices to facilitate team-wide knowledge sharing.
• Conduct thorough code reviews to ensure adherence to coding standards and best practices. Offer constructive feedback and identify potential security vulnerabilities in the codebase. Focus on maintaining code readability and facilitate discussions with team members to address any findings from the code review.
• Collaborate async across timezones with a fully-distributed team, working in the open on GitHub and in Slack.
• Partner closely with designers and product managers to apprehend user experience goals and translate their mockups into functional UI components. Ensure a consistent visual design across all UI elements. Participate in brainstorming sessions to generate innovative ideas for enhancing the user interface.

Requirements

• Solid production experience with full-stack JavaScript, preferably TypeScript; React on the front end and Node.js on the back end. Some experience with Reactflow is a plus.
• A track record of leading non-trivial projects end-to-end, with real design ownership and minimal guidance.
• Proficient architecture and system-design judgment, including in large, existing codebases.
• Successfully designed and launched multiple user interface components that significantly increased user commitment.
• Experience using AI-assisted development tools.
• Exemplary written and verbal communication, and a genuine excitement for async collaboration and knowledge-sharing.
• A multiplier mindset! You make the engineers around you better.
• A generalist streak and a user-focused mindset, with consideration for the people using your software.

Nice to Have

• Experience with the Elastic stack, observability tooling, or log/data-ingestion pipelines.
• Go, Kubernetes, or cloud-native application development experience.
• Experience building large user interfaces that manage a lot of data. This includes skills in search, filtering, and tables. You should also have experience working with streaming or real-time data.
• Prior open-source / working-in-the-open experience, or time on a developer-facing platform team.
• Experience mentoring engineers or leading a small project team.

Compensation

The typical starting salary range for this role is: $128,300-$203,000 CAD

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

XML job scraping automation by YubHub

We're looking for a Principal Product Manager to guide the vision, strategy, and execution for Identity Threat Detection and Response (ITDR) within Elastic Security. Attackers not only break in - they log in. Identity is now a major target for attacks. These attacks can happen in on-premises setups, cloud environments, or with self-directed agents. Detecting and responding to identity-based attacks is essential for any modern Security Operations Center (SOC).

In this high-impact role, you will define how Elastic detects, investigates, and responds to identity-based threats, building on our Entity Analytics and Entity Store foundation to deliver a credible, differentiated ITDR function. You will also own the roadmap for securing non-human and AI agent identities within Elastic Security, one of the fastest-growing and least-governed attack surfaces in the enterprise. You will work at the intersection of identity, detection engineering, and AI, partnering with threat researchers, data scientists, and engineers, and evangelizing our approach to a global community of security practitioners.

Responsibilities

• Define and own the vision, strategy, and roadmap for a credible ITDR function within Elastic Security, evolving our Entity Analytics and Entity Store foundation from behavioral analytics into an identity-defense outcome.
• Manage the plan for non-human and AI agent identities in Elastic Security. This involves modeling service accounts, workloads, secrets, and self-directed agents as important identities. Each identity will have its own behavior standards, ownership, and lifecycle. You will also establish how to detect identities that operate continuously and at machine scale.
• Work with threat research and detection engineering. Focus on identity-specific threats. These threats include credential access, privilege escalation, and identity-based lateral movement. They also involve the abuse of identity providers and tokens. Ensure that these threats relate to real-world adversary tactics.
• Drive the response and containment strategy. This is the 'R' in ITDR. Turn detections into action. Use identity-system integrations and automated responses. Make sure there is human oversight for important actions.
• Work closely with our enterprise customers. Collaborate with security operations teams, sales, and solution architects. Your goal is to understand the requirements for identity attacks. You will also discuss priorities and clarify product needs.
• Work with the design team to develop investigation and response experiences. These experiences will emphasize identity in the analyst workflow. Integrate identity signals with endpoint, cloud, and network data in the SIEM and XDR functions of our security operations platform.
• Gain deep knowledge of the identity-security market. Know its major trends and the changing threat landscape. Use this information to develop a unique strategy and engage with analysts.
• Be the product expert and evangelize Elastic's identity capabilities through content such as blog posts, talks, and open community interaction.

Requirements

• Extensive Experience: 10+ years of experience in product management or solution delivery for security products such as SIEM, XDR, EDR, identity security, or detection and response. A consistent record of leading sophisticated, data-intensive products from inception through launch and iterative growth.
• Identity Security Depth: A solid knowledge of identity-based attack techniques and the identity fabric. This includes Active Directory, cloud identity providers, SSO, OAuth, and privileged access. It also involves knowing how identity threats can occur in both on-premises and cloud environments. Knowledge of ITDR as a discipline and with entity behavioral analytics (UEBA).
• You need to be fluent in non-human identities. This includes service accounts, workloads, secrets, and AI agents. You should also understand why traditional human-identity rules don't apply to identities that act independently and continuously.
• AI and ML Fluency: Deep technical comprehension of the AI/ML landscape, including behavioral analytics, anomaly detection, LLMs, and agentic systems. You are comfortable working closely with data scientists and engineers, and you treat AI agents both as a subject to be secured and as a tool that consumes identity context.
• Bias to action: You are able to advance fast and quickly learn from experiments and tests. You utilize AI tools to help accelerate your processes and bring clarity to your decisions.
• Management and Influence: Demonstrated ability to lead across a matrixed organization, align multiple stakeholders toward a common vision, and drive execution in a dynamic, remote-first environment. You operate with the autonomy and judgment expected of a principal-level product leader.
• Communication Excellence: Outstanding spoken and written communication skills and practices. You can distill complex detection engineering and identity concepts into compelling narratives for both technical and non-technical audiences, including executive leadership.
• Customer Obsession: An interest for industry trends and a commitment to solving real-world customer problems. You are an advocate for the security analyst and detection engineer, and you are focused on building products that help defenders stay ahead of identity-based threats.

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

XML job scraping automation by YubHub

The Senior Specialist, Premium Support functions on the front line interacting directly with both customers and internal stakeholders, providing end-to-end support to key members of our community experiencing an issue with their reservation.

Responsibilities:

• Provide the highest level of service to our community in each and every case, including handling the service's most severe and urgent cases
• Interact with Airbnb customers and community members through all current and future channels
• Take end-to-end ownership of all assigned cases, ensuring a complete final resolution is reached
• Become a subject matter expert in Airbnb policies and procedures
• Explain and simplify complex information, provide appropriate context, and address complex questions with confidence
• Negotiate and mediate between Host and Guest in resolving issues on high-stake and high-value reservations
• Proactively anticipate users' expectations regarding case resolution and work towards the best outcome for all parties involved
• Manage highly sensitive cases end-to-end that might include working cross-functionally with Legal, Policy, other services, etc.
• Operate in full autonomy, making decisions to follow or go outside of workflows to resolve customers' issues with the best outcome possible

Requirements:

• 6+ years of relevant experience in multicultural customer service teams, preferably in the hospitality industry
• Hospitality experience is a plus, particularly working for technology platforms
• Experience engaging with executive-level stakeholders to resolve conflicts in a detailed, effective, and timely manner
• Demonstrated ability to explain complex ideas simply and clearly
• World-class interpersonal and communication skills, both written and spoken, including conflict resolution
• Active listening skills, empathy, and patience in dealing with customers, especially in high-pressure situations
• Excellent organisational skills, including prioritisation, multitasking, attention to detail, and meeting goals and commitments

Benefits:

• The base pay range for this role is $83,000-$88,000 CAD per year
• Eligible for bonus, equity, benefits, and Employee Travel Credits

XML job scraping automation by YubHub

The ideal candidate is flexible, hospitable, analytical, and determined to deliver the highest standards of service in English, both verbally and in writing.

As a Senior Specialist, Premium Support, you will work on the front lines, interacting directly with customers and internal stakeholders. You will be primarily responsible for providing end-to-end support to key members of our community who are experiencing issues related to their bookings.

Key responsibilities:

• Manage complex cases, ensuring the highest level of service to our community, including handling severe and urgent cases
• Interact with customers and community members through various channels, including phone, email, and live chat
• Provide complete resolution to assigned cases, ensuring timely and effective solutions
• Develop expertise in Airbnb policies and procedures
• Explain complex information in a clear and concise manner
• Negotiate and mediate between hosts and travellers to resolve high-stakes and high-value booking issues
• Proactively anticipate customer expectations and strive for the best possible outcome for all parties involved
• Collaborate with internal teams, such as Legal and Policy, to resolve sensitive cases
• Work independently, making sound judgments and decisions to resolve customer issues
• Establish and maintain strategic partnerships to achieve team objectives
• Demonstrate flexibility, approachability, and integrity in resolving complex problems

Requirements:

• 6+ years of relevant experience in multicultural customer service teams, preferably in the hospitality industry
• Experience with high-end and influential clients is an asset
• Strong communication and interpersonal skills, including conflict resolution
• Active listening and empathy skills
• Excellent organisational skills, including prioritisation, multitasking, and attention to detail
• Passion for delivering exceptional customer service and setting high standards
• Ability to thrive in an ambiguous, fast-paced, and complex environment
• Adaptability and flexibility in responding to changing priorities and environments
• Proficiency in Apple/Mac OS, Google Suite, and CRM systems
• Fluency in English, both verbally and in writing

We offer:

• Remote work arrangement in Canada
• Opportunity to work with a dynamic and growing company
• Collaborative and inclusive work environment

Note: This is a newly created position and does not replace or fill an existing role.

XML job scraping automation by YubHub

We are looking for a Product Manager in the Control Plane team, which owns Elastic Cloud's backend and Elastic's orchestration products. You will ensure Elastic's leading market position by managing a product portfolio that offers delightful experiences for customers at any scale.

Responsibilities

• Define parts of the vision and roadmap for Elastic's Control Plane team, with a focus on new management, orchestration, and scaling capabilities.
• Collaborate with Engineering counterparts to prioritize features.
• Work with Sales & Marketing teams on go-to-market, messaging, competitive analysis, and enablement.
• Gather market, competitive, and trend data, customer and community feedback, and usage information to develop product insights.

Requirements

• 4+ years of Product Management experience with deep technical products.
• Solid understanding and familiarity with infrastructure cloud technologies, distributed data stores, and developer-focused products.
• Proven track record of using AI to accelerate work while owning final outcomes.
• Ability to collaborate across functions and teams, transitioning between projects based on business priorities.
• Autonomous work style, driving decisions and results in a distributed team.
• Ego-free attitude, empathy, transparency, and a good sense of humour.

Nice to Have

• Direct experience with the Elastic Stack or common use cases such as application search, logging, metrics, APM, business analytics, security analytics, GIS, etc.
• Comfortable using AI tools as part of day-to-day work.
• Experience working in a cross-functional role with a highly distributed, global team.
• Background in open-source software or commercial open-source companies.

Compensation and Benefits

The typical starting salary range for this role is: $128,300-$203,000 CAD

Benefits include:

• Competitive pay
• Health coverage for you and your family
• Flexible locations and schedules
• Generous vacation days
• Matching up to $2000 for financial donations and service
• Up to 40 hours for volunteer projects
• Minimum of 16 weeks of parental leave

XML job scraping automation by YubHub

We are seeking a Senior Software Developer to join the Elasticsearch Security team. In this role, you will contribute to the architecture and design of Elasticsearch's main features, including authentication, authorization, and tenant isolation. You will work with engineering and product leaders at Elastic to provide high-performance security at all levels.

Responsibilities

• Contribute to core security initiatives from architecture to production, focusing on the delivery of new critical features.
• Participate in the technical design, planning, and execution for major security components inside the Elasticsearch core engine.
• Develop foundational security models for features.
• Optimize security performance at scale in distributed systems environments.
• Apply cryptographic solutions to address genuine customer use cases.
• Ensure robust data isolation within shared infrastructure supporting disparate customers.
• Monitor and apply the latest advancements and best practices in security.
• Collaborate with peers across the company to embed security into new customer features from the outset.
• Drive vulnerability management efforts by collaborating closely with the InfoSec team.
• Leverage AI-driven tools to automate vulnerability triage, prioritization, and preliminary investigation.

Requirements

• Deep knowledge of Java internals and JVM memory management.
• Experience building authorization systems that are scalable and performant under high concurrency and large permission sets.
• Solid comprehension of distributed systems security.
• Deep knowledge of edge identity protocols (OAuth 2.0, SAML).
• Proven track record of using AI to accelerate development, debug complex systems, and optimize code.
• Ability to collaborate across functions and teams.

Nice to Have

• Knowledge of cipher suites, TLS handshakes, and PKI/certificate lifecycle management.
• Cryptographic methods considering memory usage and delays.
• Familiarity with the implications of Post-Quantum Cryptography (PQC).
• Hands-on experience mapping engine-level technical controls to FedRAMP, FIPS 140, and SOC 2 requirements.
• Experience working on the internals of a data store or search engine.

The typical starting salary range for this role is: $128,300-$203,000 CAD

Elastic offers a range of benefits, including:

• Competitive pay
• Health coverage for you and your family
• Flexible locations and schedules
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 for financial donations and service
• Up to 40 hours each year to use toward volunteer projects
• Embracing parenthood with minimum of 16 weeks of parental leave

XML job scraping automation by YubHub

We are seeking a Principal Software Developer to join the Elasticsearch Security team. In this role, you will lead the architecture and design of Elasticsearch's main features, including authentication, authorization, and tenant isolation.

Responsibilities

• Owning core security initiatives from architecture to production, focusing on the delivery of new critical features. Leading the technical design, plan, and execution for major security components inside the Elasticsearch core engine.
• Developing the foundational security models for intricate features.
• Optimizing security performance at scale in distributed systems environments.
• Applying cryptographic solutions to address genuine customer use cases.
• Ensuring robust data isolation within shared infrastructure supporting disparate customers.
• Monitoring and applying the latest advancements and best practices in security, including authentication, identity management, cryptography, and data access management.
• Collaborating with peers across the company to embed security into new customer features from the outset.
• Drive vulnerability management efforts by collaborating closely with the InfoSec team to proactively identify, assess, and remediate security risks.
• Leverage AI-driven tools to automate vulnerability triage, prioritization, and preliminary investigation, streamlining security workflows and reducing manual intervention.
• Mentoring and coaching other engineers, fostering a culture of technical excellence and security-first development.

Requirements

• Deep knowledge of Java internals and JVM memory management. Understanding of concurrency models. Experience with writing high-performance, thread-safe, and lock-free code.
• Proven experience in designing and building systems for authorization that can scale, including deep experience designing scalable RBAC/ABAC models and token validation pipelines.
• Solid comprehension of distributed systems security, including node-to-node mutual trust, zero-trust transport, partition tolerance, and cluster state propagation.
• Deep knowledge of edge identity protocols (OAuth 2.0, SAML).
• Proven track record of using AI to accelerate development, debug complex systems, and optimize code.
• Ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
• Autonomy to drive decisions and lead a distributed team.

Nice to Have

• Knowledge of cipher suites, TLS handshakes, and PKI/certificate lifecycle management.
• Cryptographic methods considering memory usage and delays.
• Familiarity with the implications of Post-Quantum Cryptography (PQC) and readiness to support the migration of services to quantum-resistant cryptographic algorithms.
• Hands-on experience mapping engine-level technical controls to FedRAMP (Moderate/High), FIPS 140, and SOC 2 requirements.
• Experience working on the internals of a data store or search engine.

Benefits

• Competitive pay
• Health coverage for you and your family
• Flexible locations and schedules
• Generous number of vacation days
• 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
• Embracing parenthood with minimum of 16 weeks of parental leave

XML job scraping automation by YubHub

We are on the lookout for a Senior Software Developer to join our Elasticsearch team and focus on ensuring that the shared platform functionalities of Elasticsearch are easy to use, performant, maintainable, and secure.

The team’s mission is to create foundational infrastructure and shared functionality that enables engineers to develop, extend, and support Elasticsearch. The team owns common functionality such as services, settings, and scripting, and makes Elasticsearch extensible through plugins or the Painless scripting language.

You will be a strong individual contributor on the team, but you will also contribute to and lead cross-team projects. We need someone who has great design skills, who can work at a low level of abstraction but can equally drive and communicate technical concepts across a variety of collaborators.

Responsibilities

• Contributing to large, impactful projects that evolve the core infrastructure that underpins Elasticsearch.
• Making Elasticsearch developers more productive by identifying and developing opportunities for automation, and integrating agentic apps into development workflows.
• Designing and implementing new horizontally-scalable features and APIs in Elasticsearch.
• Solving difficult issues, including performance or concurrency issues, and proposing solutions.
• Improving operation and observability of Elasticsearch cloud systems.
• Collaborating in the open with the ES team, Elastic users, and other supporting open source projects.
• Supporting our support engineers with the harder problems.
• Owning operational investigations end-to-end, until performance or stability issues are successfully resolved.

Requirements

• Experience crafting APIs and the ability to reason through tradeoffs.
• Proficient in algorithms and data structures.
• Strong skills in core Java and conversant in the standard library of data structures and concurrency constructs, as well as newer language features.
• Experience with low-level Java such as concurrency, parallelism, classloaders, etc.
• Hands-on experience with CI/CD systems and practices (Buildkite, Argo CD, GitOps etc).
• Experience leading large scale projects across engineering teams.
• Willingness to dive into new issues and ask for help when you need it.
• You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components.
• Proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes.
• Possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
• Can work autonomously, drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication.

Nice to Have

• Knowledge of JDK internals: modules, the Java memory model, garbage collection, database load, caching techniques, etc.
• Experience with observability and telemetry solutions, particularly OpenTelemetry.
• Knowledge of Go.
• Knowledge of containers and Kubernetes.
• Knowledge of Java build tools (Gradle, Maven, etc), with a strong preference for Gradle experience.
• Experience working in a platform team or developer productivity team.

Compensation

The typical starting salary range for this role is: $128,300-$203,000 CAD.

Benefits

• Competitive pay based on the work you do here and not your previous salary.
• Health coverage for you and your family in many locations.
• Ability to craft your calendar with flexible locations and schedules for many roles.
• Generous number of vacation days each year.
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service.
• Up to 40 hours each year to use toward volunteer projects you love.
• Embracing parenthood with minimum of 16 weeks of parental leave.

XML job scraping automation by YubHub

We're looking for a Principal Software Developer to join the Elasticsearch - Storage Engine team. This globally distributed, fully remote team of experienced engineers develops core storage and query technologies for observability workloads, including improving storage efficiency, advancing ES|QL query processing and performance, and optimizing data layouts for object storage.

What You Will Be Doing

• Lead the architectural evolution of core storage engine components, continuously identifying and resolving performance bottlenecks in indexing layouts, serialization formats, and resource utilization.
• Lead cross organisational initiatives to drive and build industry-leading observability solutions.
• Work with a globally distributed team of experienced engineers focused on the logs and metrics capabilities of Elasticsearch.
• Drive continuous operational and system improvements by introducing best practices for clean coding standards, demystifying complex system behaviours, untangling complexity to bring architectural clarity across the platform.
• Serve as a subject matter expert (SME) across key areas of Elasticsearch, acting as a trusted technical advisor and mentor to the wider engineering organisation.
• Work with a global community to triage, resolve, and review issues and pull requests, collaborating with domain experts as needed.
• Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring

• You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
• You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication.
• You have a proven track record of using AI to accelerate development, debug complex systems, and optimise code, while still owning the final outcomes.
• You bring a prompt-engineering mindset to know how to leverage AI agents effectively, using sound engineering judgment to validate results and recognise its limitations.
• You have implemented novel techniques to efficiently index, store, and query time-series or logs data.
• You have experience with one or more data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Prometheus and have some idea how they work and why they work that way.
• You have strong core Java skills, a deep understanding of its concurrency primitives, with a proven ability to design and optimise efficient data structures and algorithms.
• You excel in a collaborative environment, actively participate in technical discussions, and work effectively across distributed teams.
• You have excellent verbal and written communication skills and collaborate with respect, empathy, and professionalism in a distributed team.

Bonus Points

• 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.
• You’ve worked on data storage technology.
• You have experience designing, leading, and owning cross-functional initiatives.
• You have past working experience with database, search engine, OS, or cloud service development.

The typical starting salary range for this role is: $154,000-$243,600 CAD

Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life.

Benefits include:

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

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We're looking for a Senior Software Engineer to join the Elasticsearch - Storage Engine team. This globally distributed, fully remote team of experienced engineers develops core storage and query technologies for observability workloads, including improving storage efficiency, advancing ES|QL query processing and performance, and optimizing data layouts for object storage.

Responsibilities

• Lead the architectural evolution of core storage engine components, continuously identifying and resolving performance bottlenecks in indexing layouts, serialization formats, and resource utilization.
• Lead cross organisational initiatives to drive and build industry-leading observability solutions.
• Work with a globally distributed team of experienced engineers focused on the logs and metrics capabilities of Elasticsearch.
• Drive continuous operational and system improvements by introducing best practices for clean coding standards, demystifying complex system behaviours, untangling complexity to bring architectural clarity across the platform.
• Serve as a subject matter expert (SME) across key areas of Elasticsearch, acting as a trusted technical advisor and mentor to the wider engineering organisation.
• Work with a global community to triage, resolve, and review issues and pull requests, collaborating with domain experts as needed.
• Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

Requirements

• You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
• You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication.
• You have a proven track record of using AI to accelerate development, debug complex systems, and optimise code, while still owning the final outcomes.
• You bring a prompt-engineering mindset to know how to leverage AI agents effectively, using sound engineering judgement to validate results and recognise its limitations.
• You have implemented novel techniques to efficiently index, store, and query time-series or logs data.
• You have experience with one or more data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Prometheus and have some idea how they work and why they work that way.
• You have strong core Java skills, a deep understanding of its concurrency primitives, with a proven ability to design and optimise efficient data structures and algorithms.
• You excel in a collaborative environment, actively participate in technical discussions, and work effectively across distributed teams.
• You have excellent verbal and written communication skills and collaborate with respect, empathy, and professionalism in a distributed team.

Nice to Have

• 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.
• You’ve worked on data storage technology.
• You have experience designing, leading, and owning cross-functional initiatives.
• You have past working experience with database, search engine, OS, or cloud service development.

Compensation The typical starting salary range for this role is: $128,300-$203,000 CAD.

Benefits

• Competitive pay based on the work you do here and not your previous salary.
• Health coverage for you and your family in many locations.
• Ability to craft your calendar with flexible locations and schedules for many roles.
• Generous number of vacation days each year.
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service.
• Up to 40 hours each year to use toward volunteer projects you love.
• Embracing parenthood with minimum of 16 weeks of parental leave.

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In this high-impact role, you will be responsible for defining how enterprises build, manage, and scale context for AI agents. You will work at the cutting edge of the AI ecosystem, working with senior leadership and partnering with hyperscalers and evangelizing our solutions to a global community of AI developers.

Responsibilities

• Work directly with enterprise customers, sales teams, and solution architects to understand requirements, negotiate priorities, clarify product needs
• Build, socialize and align a roadmap for core context engineering capabilities built on top of Elastic powered retrieval and relevance for AI Agents
• Deeply understand the AI Agent market, major players, trends and how it may impact our strategy
• Work directly with data science and engineering to build out the strategy for benchmarking and evaluations of agent capabilities
• Work with design to build user experiences that address gaps in how agents show and refine context as they work
• Be the product expert and evangelize capabilities for Agent Builder through content like blog posts and open source projects
• Work with a broad ecosystem of AI partners including cloud service providers (Google, Amazon, Microsoft) and community developers

Requirements

• Extensive Experience: 10+ years of experience in product management or solution delivery for technical, cloud infrastructure, or platform products. A consistent record of leading sophisticated, data-intensive products from inception through launch and iterative growth.
• AI and ML Fluency: Deep technical understanding of the AI/ML landscape, including LLMs, RAG architectures, vector databases, and context engineering. You are comfortable working closely with engineers and data scientists to solve intricate technical challenges.
• Bias to action: You are able to move fast and quickly learn from experiments and tests. You utilize AI tools to help accelerate your processes and bring clarity to your decisions.
• Leadership and Influence: Demonstrated ability to lead across a matrixed organization, align multiple stakeholders toward a common vision, and drive execution in a fast-paced, remote-first environment.
• Communication Excellence: Outstanding spoken and written communication skills. You can distill complex engineering details into compelling narratives for both technical and non-technical audiences, including executive leadership.
• Customer Obsession: A passion for industry trends and a commitment to solving real-world customer problems. You are an advocate for the developer persona and are dedicated to building products that empower users to innovate.

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

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You will be part of a team that provides support to our community members who have been affected by these issues. Your primary goal will be to provide the highest level of service to our community, ensuring that survivors receive the support they need to recover.

Responsibilities:

• Interact with Airbnb clients and community members through various channels, including chat, social media, messaging, and phone.
• Manage complex cases end-to-end to resolve client issues, following our methodology and guidelines.
• Recognize the type and severity of cases and handle them accordingly, escalating to other teams when necessary.
• Take ownership of high-severity or complex cases under close supervision.
• Identify and assess threatening and risky behaviours.
• Demonstrate responsibility, discretion, and the ability to question and deviate from our methodology when needed.
• Show excellent openness to feedback from management, quality teams, and clinical staff, and quickly adapt behaviours to improve work quality.
• Understand multiple perspectives on a subject or situation.
• Evaluate and present multiple options to resolve a problem.
• Collaborate with key stakeholders, potentially interacting with them directly.

Requirements:

• More than three years of relevant experience in customer service, mediation, emergency services, Trust and Safety operations, or similar roles in a call centre.
• Experience in the hospitality industry is an asset, particularly working on technological platforms.
• Ability to work weekends, holidays, and early mornings or evenings, with a flexible schedule to meet business needs.
• Capacity to work in a high-pressure environment, interacting with sensitive, confidential, and potentially traumatic content.
• Excellent communication and conflict resolution skills.
• Strong organisational skills, able to multitask and prioritise tasks while maintaining schedules and breaks.
• Basic computer knowledge, including Apple/Mac OS and Google Suite.
• Fluency in English; knowledge of other languages is an asset.
• Ability to evaluate risks, understand urgency, exercise discretion in risky situations, and communicate pertinent information to stakeholders.
• Adaptability to new tasks and responsibilities as needed.
• Proactive attitude to new challenges, adapting to evolving priorities and environments.
• Willingness to integrate into a new team and adapt to changing functions and tasks.

We offer:

• A salary range of $63,000 - $63,000 CAD per year.
• Opportunities for growth and development in a dynamic and supportive environment.
• A commitment to inclusion and belonging, striving to create a diverse and innovative workplace.

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As a Product Designer, Stablecoin at Stripe, you will lead the design efforts for our global-by-default money management suite. This involves creating intuitive interfaces for businesses to manage their digital currencies while handling complex cross-border flows.

Stripe is a financial infrastructure platform used by millions of companies worldwide to accept payments, grow revenue, and accelerate new business opportunities.

Responsibilities

• Own the end-to-end product design process from discovery through delivery.
• Design seamless on-ramp and off-ramp experiences for businesses moving between fiat and stablecoin rails.
• Build workflows for businesses to launch their own coins, manage reserve ratios, and track real-time liquidity and rewards.
• Collaborate with engineering, product, and stakeholders to shape the team's roadmap and goals.
• Partner with content design to craft compelling experiences.
• Deliver designs using various formats such as workshops, journey maps, wireframes, prototypes, and final comps.
• Work closely with other product designers to drive holistic solutions.

Requirements

• 6+ years of relevant design experience at a tech, product-driven company.
• Experience working with and leading changes to an established design system.
• Experience collaborating with engineering to support UI development.
• Ability to work autonomously on large-scale initiatives.
• Strong cross-functional collaboration skills.
• Strong skills in visual design, interaction design, and prototyping.
• Comfortable working on multiple projects at different paces.

Preferred Qualifications

• Deep understanding of Web3 primitives and how to abstract them for non-technical users.
• Experience designing for treasury management, B2B payments, or cross-border financial systems.
• Skilled in explaining work, process, and decisions to stakeholders.
• Detail-oriented with a focus on delivering pixel-perfect work.
• Values working with a diverse group of people and contributing to a sustainable business.

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The successful candidate will demonstrate an excellent understanding of identifying threatening and harmful circumstances, empathetic communication, and quick decision-making.

Responsibilities:

• Complex case management: Provide high-level service to the community, interact with customers through various channels, manage cases end-to-end, and escalate to other teams when necessary.
• Combining efficiency with quality: Handle a high volume of cases without impacting quality, and participate in safety service improvements.
• Stakeholder engagement: Engage with other delivery teams and key functional partners.

Requirements:

• 3+ years of relevant experience in customer service, mediation, emergency services, or a similar role.
• Strong communication skills, problem-solving abilities, and customer service expertise.
• Ability to work in a high-pressure environment, adapt to new tasks, and demonstrate a high level of professionalism and confidentiality.

Benefits:

• Competitive salary ($63,000 - $63,000 CAD per year)
• Opportunities for growth and development in a dynamic company

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Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines.

Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole.

Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today

Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions.

Supporting our support engineers with the harder problems.

We are looking for someone with a strong background in distributed systems and consensus algorithms, strong skills in core Java, and a deep technical proficiency in algorithms. You should have shown your ability to understand and work on complex, highly distributed systems, and be able to own projects from beginning to end. Experience managing projects involving multiple engineers is a plus.

Bonus points for data stores, search, analytics, Lucene, strong knowledge of the JDK, and asynchronous event-driven network frameworks such as Netty.

This role has a base salary with a typical starting salary range of $128,300-$203,000 CAD. The role is eligible to participate in Elastic's stock program and has a range of other benefits, including competitive pay, health coverage, flexible locations and schedules, generous vacation days, and more.

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This role offers the opportunity to shape technical strategy, mentor engineers, and build production systems at the intersection of AI and enterprise software. This is a generic backend engineering hire. Team matching will be conducted during the later stages of the hiring process based on your interests, experience, and team needs.

Key Responsibilities:

• Architecture & Leadership: Lead the architecture and evolution of large-scale distributed backend systems, driving cross-team technical initiatives from design through production

• Scalable Systems Design: Build high-performance, fault-tolerant backend services supporting real-time AI agents, conversation intelligence, and enterprise integrations

• AI/ML Collaboration: Partner with ML engineers to operationalize AI capabilities, building the runtime infrastructure and orchestration systems that power AI agents at scale

• Data & Storage Solutions: Design and optimize data storage and retrieval systems for real-time analytics and insights

• Production Excellence: Drive continuous improvements in system performance, cost efficiency, and scalability to handle high-volume production workloads

• Technical Mentorship: Mentor senior engineers, influence technical roadmap, and raise the bar for engineering quality across teams

Required Qualifications:

• Bachelor's degree in Computer Science or related field

• 8+ years building scalable backend systems in production environments

• Proven experience leading large-scale distributed system architecture with deep understanding of consistency, fault tolerance, state management, and concurrency

• Strong proficiency in at least one major programming language (Python, Go, Java, C++, or similar)

• Strong API design expertise (REST, gRPC) and service-oriented architectures

• Experience with database design and optimization across SQL and NoSQL systems

• Hands-on experience with containerization and orchestration (Kubernetes, Docker)

• Cloud platform expertise (AWS, GCP, or Azure) with strong security knowledge

• Experience building developer-facing tooling (CLIs, SDKs, testing frameworks)

• Strong expertise in system reliability, observability, monitoring, and production ownership (including on-call)

• Excellent communication skills for technical decision-making, cross-functional collaboration, and mentorship

• High standards for code quality, testing, and engineering best practices

Preferred Qualifications:

• Effective use of AI-assisted coding tools (Claude Code, OpenAI Codex, Cursor, etc.) to significantly boost development productivity

• Deep understanding of real-time communication systems, low-latency design, and high-availability architectures

• Proven track record with third-party enterprise platform integrations

• Experience with Temporal workflow orchestration platform

• Hands-on experience with Postgres, ClickHouse, and Elasticsearch

• Experience with Contact Center as a Service (CCaaS) platforms or contact center systems

• Familiarity with AI Agents, LLM-based systems, or AI orchestration platforms

• Real-time voice or streaming media systems background

• LLM integration experience (streaming inference, prompt orchestration, RAG)

• Infrastructure-as-code and GitOps workflows

What We Offer:

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs

• Paid parental leave to support you and your family

• Monthly Health & Wellness allowance

• Work from home office stipend to help you succeed in a remote environment

• Lunch reimbursement for in-office employees

• PTO: 3 weeks in Canada

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This position requires working closely with supervisors, project leaders, and engineers to ensure the timely delivery of quality tooling that meets customer requirements.

Key responsibilities include planning, designing and building tooling, interacting with designers/project leaders/apprentices to develop manufacturable components, ensuring customer requirements are met, considering alternative solutions for given tasks or problems, maintaining job folders/electronic data, and reviewing project direction with project leaders.

The successful candidate will have a Tool and Die Maker Certification or equivalent, 5 to 7 years of experience as a tool & die maker, ability to troubleshoot and resolve issues related to tool design, maintenance, and fabrication, knowledge of GD&T, CAD, and ability to delegate work.

The salary range for this position is $27.72 - $51.44.

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Key Responsibilities:

• Solve tool and die problems arising during production runs, with minimum interruption to production.
• Complete all work forms including preventative maintenance reports, spare part lists, time sheets, tool inventory, and tool status. Enter all into MVP.
• Make engineering changes, modifications, and repairs to existing fixtures, productions parts, and tools. Ensure that try-outs meet the production schedule requirement(s) or customer delivery dates.
• Ensure all work adheres to quality standards and the requirements of the quick die change program.
• Actively participate in the design and development of methods of tooling and fixtures in order to meet quick die change objectives.
• Build new tooling or fixtures from strip layout drawings or customer product drawings.
• Test dies in the appropriate press and produce samples to match customer drawings and specifications
• Complete tig and mig welding as required.
• Work on blank to transfer dies.
• Complete grippers’ adjustments and the rebuilding of damaged components.
• Implement SPC procedures as they relate to customer drawings and specifications.
• Assist in directing and overseeing the work of apprentices.
• Advise management of all potential problems or concerns and offer any opportunities for improvement.

Basic Requirements:

• Completion of a provincial tool and die apprenticeship.
• Five years of experience as a registered tool and die maker.
• Excellent knowledge of the automotive industry and press department equipment.
• Experience with nitrogen and pneumatics.
• Excellent communication and interpersonal skills.
• Excellent problem solving techniques.
• Must be a self-starter.

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The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

Responsibilities: Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition.

Who Should Apply: Professional and Academic Background: 5+ years of software engineering or related technical experience, or equivalent domain expertise through academic work (e.g. PhD, postdoctoral research, or faculty experience in Computer Science or related field). Skills: Demonstrated coding proficiency and analytical abilities, with deep expertise in one or more of the following programming languages: Python, Java, Rust, Swift, JavaScript, or C++. Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.

Why Join the HFC? Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research,while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology. Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

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This role goes beyond traditional moderation. You will help shape and scale communities that support both B2B and B2C audiences, ensuring members stay engaged, supported, and connected while driving real business outcomes.

You will work closely with leadership, customer success, and delivery teams to create environments where entrepreneurs, founders, and operators can exchange insights, share wins, and accelerate their growth.

This is a high-impact role within a fast-paced, scaling environment, ideal for someone who understands how communities drive business value.

Responsibilities

• Manage and moderate active B2B and B2C communities of founders, operators, and entrepreneurs.
• Foster meaningful discussions that help members solve problems, share wins, and move forward in their businesses.
• Turn passive members into active contributors by encouraging participation and accountability.
• Create engagement systems that keep the community active, valuable, and supportive.

Community Operations

• Maintain structure across community channels, threads, and content to ensure discussions stay organized and valuable.
• Moderate conversations, guide discussions, and ensure members receive timely responses and support.
• Support the rollout of new community initiatives, programs, and engagement formats as the business evolves.

Live Sessions & Community Events

• Coordinate and support live calls, workshops, and community sessions when required.
• Facilitate productive discussions during group sessions with founders and operators.
• Ensure community members extract clear value from each session.

Community Insights & Reporting

• Track engagement metrics such as participation, activity levels, and community growth.
• Identify patterns across member behavior, questions, and challenges.
• Share insights with internal teams to improve customer experience and program outcomes.

Collaboration Across Teams

• Work closely with Customer Success, Operations, and Leadership to ensure the community aligns with broader company initiatives.
• Escalate common issues or requests from the community that require product, support, or operational input.
• Help identify opportunities where community insights can improve internal systems and services.

Requirements

• 3–5+ years experience managing online communities in tech, SaaS, AI, or startup ecosystems.
• Experience moderating and managing communities on platforms such as Slack, Discord, Skool, and other modern community platforms.
• Strong understanding of business growth, digital products, and service-based businesses.
• Exposure to both low-ticket digital products and high-ticket service offers.
• Experience working in environments where communities support customer growth, acquisition, or business development.
• Familiarity with software products, SaaS ecosystems, or AI-driven businesses.
• Understanding of the broader software and online business landscape.
• Excellent communication and moderation skills.
• Highly organized and able to manage multiple discussions and initiatives simultaneously.
• Comfortable operating in a fast-moving startup environment.
• Strong sense of ownership and accountability.

Tools & Platforms

Experience working with tools such as Slack, Discord, Skool, Zoom, Notion, and other modern community and collaboration platforms.

What Success Looks Like

• Communities remain active, engaged, and valuable to members.
• Founders and operators consistently participate in discussions and group sessions.
• Community members feel supported and connected to the broader ecosystem.
• Engagement systems help maintain long-term participation and collaboration.
• Community insights help inform improvements across the business.

Benefits

• Competitive Compensation based on experience.
• Performance-Based Incentives: Quarterly bonuses tied to your contributions and results.
• Personal Development & Growth: 1:1 coaching from C-Suite leaders and access to $20,000 worth of training.
• Remote Flexibility: Work from anywhere while leading a global team.

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As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems.

Key responsibilities include:

• Engaging in high-impact projects with partnered AI labs and platforms
• Designing, reviewing, and optimising PyTorch models
• Evaluating complex ML code and AI-generated implementations for efficiency and correctness
• Advising on GPU optimisation, scaling, and trade-offs

You'll also become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.

Collaboration with Scale's research team to co-author technical reports and research papers is also expected.

To be eligible, candidates must be authorised to work in Canada and have a PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field.

Professional background as a Machine Learning Engineer or Data Scientist with 1-3+ years of experience is also required.

Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow) is essential, along with experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain).

A detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration is ideal.

Flexible schedule with 10–40 hour weeks that fit around your life and other commitments is offered.

Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

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The ideal candidate is hospitable, analytical, and committed to delivering the highest standards of service.

As a CS Specialist, Premium Support, you will be responsible for providing end-to-end support to key members of our community, including but not limited to the Luxury segment.

You will primarily take ownership of cases, ensuring complete resolution while fostering strong relationships with our users along the way.

CS Specialist, Premium Support needs strong communication skills in English and French, problem-solving abilities, and customer service expertise.

They should also be adaptable and responsive in our fast-paced environment, sometimes under pressure, while remaining flexible, proactive, resourceful, efficient and demonstrating a high level of professionalism and confidentiality.

A Typical Day:

• Complex case management: Provide the highest level of service to our community in each and every case

• Interact with Airbnb customers and community members through all current and future channels, both inside and outside of Airbnb tools, including but not limited to livechat, social platforms, messaging, and directly through the phone

• Take end-to-end ownership of all assigned cases: ensuring a complete final resolution (or settlement, final decision, etc) is reached based on workflows & management guidelines, fostering the relationship with our users along the way, and escalating accurately to other teams when appropriate

• Demonstrate ownership mentality & good judgment as well as skill to question, adapt, and deviate from the workflow when needed only through management approval

• Be highly receptive to feedback from Management and Quality, and quickly adopt behaviors to improve the quality of your work

• Understands multiple perspectives on a topic or situation, and able to evaluate and present multiple options for addressing a problem

• Can be brought to engage more with senior stakeholders and to collaborate cross-functionally, with help from management

Combining efficiency with bespoke quality:

• Provide personalized and exceptional customer support to guests and Hosts, ensuring their unique needs and preferences are met with the highest level of care and attention

• Displays an ability to handle a larger volume of cases without negatively impacting the quality of the interaction & the resolution

• Proactively anticipate and identify opportunities to enhance the user experience, and with the support of management, offers tailored solutions and recommendations that go above and beyond their expectations, and ensuring a seamless and memorable experience throughout their interactions with Airbnb

• Resolve user issues quickly and to a high level of mutual satisfaction, considering specific context and circumstances

• Personalize communications to users, demonstrating the highest hospitality standards

Participating in your team's improvement:

• Leverage your functional operational knowledge to proactively support the team success

• Provide insights about community experience and continuous improvement opportunities to your Management

• Help document ways of working, best practices, and the norms for your service(s) as requested by management

• Provides technical/functional/SME to less experienced members of the team.

• Shares ideas to improve processes and ways of working

• Willing to take on various tasks and responsibilities as needed (including moving teams) and showing openness to new challenges and a proactive approach to work

Stakeholder engagement:

• You have gained the trust of internal & external stakeholders through effective relationship management and delivering results

• Displays flexibility, openness and approachability when resolving issues

• Understands key drivers of your function and how they relate to one another, as well as the business impact of those metrics

• You are on-call to handle emergency situations in the evenings & weekends

Your Expertise:

• 3+ years of relevant experience in multicultural customer service teams, preferably in the hospitality industry (experience with high-profile and influential clientele is preferred) and in a role making calls and handling customer/client contacts

• Hospitality experience is a plus, in particular working for technology platforms. Prior experience using phone, messaging, or live chat to interact with users/customers is preferred.

• Experience engaging with executive-level stakeholders to resolve conflicts in a detailed, effective and timely manner, and demonstrated ability to explain complex ideas simply and clearly.

• Ability to work weekend days and public holidays, as well as early morning / evening shifts. Your schedule can change to meet business needs.

• Very good verbal and written communication skills for providing exceptional customer service to guests/hosts & engage with stakeholders.

• Active listening skills to understand guest needs and provide personalized recommendations and assistance.

• Empathy and patience in dealing with customers, especially in high-pressure situations.

• Ability to organize a high volume of work, multitask & prioritize, and to work within prescribed schedules including breaks, lunches, and training time.

• Passion for delivering exceptional customer service and setting a high bar.

• Ability to thrive in an ambiguous, fast-paced, and complex environment, acting proactively to respond quickly and decisively.

• Ability to adapt to new tasks and responsibilities as needed.

• Proactive attitude towards embracing new challenges and adjusting to changing priorities and environments.

• Capable of adjusting to evolving roles and job duties with openness and flexibility, as well as moving to a new team.

• Good computer skills, including Apple/Mac OS, Google Suite, and familiarity with CRM systems and the ability to quickly learn new tools.

• Language proficiency in English, written and spoken, other languages are a plus.

Your Location:

Due to the nature of this position, the successful applicant will need to be based in Canada to be able to conduct their work.

Currently, employees can be located in: British Columbia, Ontario, Quebec, Alberta, or Saskatchewan.

This list is continuously being updated, please check back with us if the provinces you live in is on the list.

If your position is employed by another Airbnb entity, your recruiter will inform you what provinces you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible.

We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services

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The ideal candidate brings a strong mix of technical, business, and communication ability, particularly in the Search market. You have a deep understanding of Search solutions, including the users and buyers of those products. You thrive in ambiguity, think critically, and can dive deep to deliver valuable insights. You excel at communicating across levels, from technical experts to senior executives, and are skilled at turning data into impactful messaging for different audiences.

Key responsibilities include building and implementing an effective competitive intelligence program for Search, creating clear and compelling internal and external enablement materials, tracking and analyzing competitive developments, and collaborating with product marketing, product management, and sales to craft competitive positioning strategies for new products and features.

In addition to cash compensation, this role is eligible to participate in Elastic's stock program and offers a range of other benefits, including a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings.

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Role Overview:

As a Data Analyst at Stripe, you will partner with teams across the company to ensure that our users, products, and business have the models, data products, and insights needed to make decisions and grow responsibly.

Responsibilities:

• Work closely with partners to extract insights from Stripe's rich and complex data
• Translate business needs into data problems
• Build metrics, scalable data pipelines, dashboards, and reports to inform and run the business
• Deliver actionable business recommendations through analyses and data storytelling

Requirements:

• MS/MA + 2 years or BS/BA + 3 years of full-time experience in Business Intelligence Engineering, Data Analyst, Business Analyst roles
• Proficiency in SQL
• Proven ability to manage and deliver on multiple projects with great attention to detail
• Ability to clearly communicate results and drive impact
• Experience collaborating with cross-functional teams to deliver strategic insights, benchmarks, and analyses that provide recommendations

Benefits:

• Opportunity to work with a vibrant community of data analysts and data scientists
• Variety of Data Analytics roles and teams across Stripe
• Alignment with the most relevant team based on background

Note: The preferred qualifications are a bonus, not a requirement.

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