Irth Solutions

People Operations

• Coordinate the entire recruitment process for positions located in multiple countries.
• Write, translate and publish job postings in French and English.
• Screen applications and conduct virtual interviews.
• Work closely with hiring managers to define needs, candidate profiles and recruitment strategies.
• Track candidates in the applicant tracking system (ATS).
• Coordinate reference checks, background checks and other required verifications.
• Maintain a professional, inclusive and positive candidate experience.
• Coordinate onboarding and integration of new hires internationally.
• Prepare and follow up on hiring documentation.
• Collaborate with internal teams to ensure smooth integration of remote employees.
• Keep employee files up to date (contracts, personal information, administrative changes).
• Ensure the application of HR policies and procedures.
• Respond to employee and manager questions regarding HR processes.
• Support the management of routine HR cases.
• Collaborate with external partners (recruitment firms, vendors, platforms).
• Produce reports and tracking dashboards related to recruitment and HR activities.

Human Resources Coordinator

Business Analyst

• Manage Borealis implementation projects:
• Assess and understand clients’ business objectives;
• Identify and collect customer requirements, map their business processes
• Identify the best solutions to integrate their business processes into the Boréalis software
• Organize and conduct meetings and work sessions with clients: produce agendas, dispatch activities and monitor their progress, customize project documentation
• Formalize project information in the various onboarding documents
• Configure the software in accordance with the identified requirements
• In case of imports, manipulate and organize data, prepare imports
• Maintain project statuses, to reflect implementation status at all times, and keep managers and clients informed
• Identify risks and issues around projects, implement mitigation solutions.
• Identify and integrate innovative, solution-oriented approaches to:
• Suggest sound workarounds tailored to client contexts to meet service levels agreed upon with clients;
• Maintain implementation projects progress on budget and on time.
• Develop and maintain a relationship of trust between customers and Boréalis;
• Engage with clients on topics that will help Boréalis "grow its roots";
• Develop an in-depth understanding of Borealis over time;
• Help develop and maintain a continuous improvement approach to everyday issues.

Support Engineer

• Join our team to drive reliability by resolving critical support issues for pipeline operations.
• Working as part of the Irth team on cutting-edge data management and data analytics technology, the successful candidate will collaborate with our engineers and customers in our mission to deliver best in class solutions for the oil & gas industry.
• The ideal candidate has significant experience with pipeline integrity data systems such as Inline Inspection (ILI), PODS and other GIS platforms (APDM, UPDM), corrosion & CP databases, field NDE data, and in-house integrity data management systems.
• If you have experience working in analysis of pipeline integrity datasets, we would like to hear from you.

Technical Support Engineer

Application Engineer

• Design, develop, and maintain scalable backend applications and APIs that deliver predictive insights and AI-powered features.
• Work with serverless technologies, cloud infrastructure, and Databricks to build reliable, secure, and high-performance applications.
• Focus on developing REST APIs, integrating with data platforms, and enabling customer-facing AI and analytics solutions.

Software Application Engineer

Data Scientist

• Contribute to medallion architecture pipelines (Bronze, Silver, Gold) and ensure data quality and governance.
• Support lineage tracking, data contracts, and governance processes using Unity Catalog.
• Apply data residency and governance policies, ensuring secure and compliant handling of sensitive data.
• Develop and deploy machine learning models including forecasting, anomaly detection, NLP, and predictive analytics.
• Design and implement GenAI solutions such as RAG pipelines, LLM-powered assistants, and intelligent automation.
• Package and manage models using Unity Catalog and model registries.
• Build scalable workflows using Databricks, Spark, and cloud-native tools.
• Implement monitoring, model evaluation, and performance tracking to ensure reliability.
• Apply cost optimization and performance tuning best practices.
• Support enterprise semantic layers for BI tools such as Power BI and Databricks AI/BI.
• Collaborate with engineering and product teams to enable scalable, production-ready data products.
• Document models, pipelines, and analytical workflows.
• Implement access control policies (RBAC/ABAC), secure data access, and compliance controls.
• Support regulatory compliance including SOC 2, GDPR, ISO 27001, and PIPEDA.
• Maintain documentation supporting governance, audit, and disaster recovery requirements.

Data Engineer

• Design the enterprise architecture for the Databricks Lakehouse, including medallion architecture (Bronze, Silver, Gold) and semantic layers.
• Develop multi-cloud data ingestion and consolidation strategies across AWS, Azure, GCP, and on-prem systems.
• Define standards for data lineage, metadata management, data quality, CDC/SCD, streaming, and batch ingestion.
• Establish enterprise data governance frameworks, including classification, cataloging (Unity Catalog), retention, and security policies.
• Ensure compliance with global regulatory standards such as GDPR, PIPEDA, Australian Privacy Act, and SOC 2.
• Architect scalable, reliable, and cost-efficient solutions to support analytics, reporting, GIS, and AI/ML workloads.
• Create architecture documentation, standards, and best practices.
• Collaborate with data engineering teams to implement pipelines, Delta Lake storage, and Databricks workflows.
• Provide technical leadership, architectural guidance, and code reviews.
• Ensure consistent architecture implementation across products, tenants, and cloud environments.
• Work with DevOps teams on infrastructure, networking, identity management, and CI/CD integration.
• Establish monitoring, observability, and operational governance processes.
• Define and enforce security policies including RBAC/ABAC, encryption, and audit logging.
• Integrate enterprise metadata and lineage using Unity Catalog and Purview.
• Ensure compliance with data residency, regulatory, and cloud-specific requirements.
• Develop standards for data retention, archival, and disaster recovery.
• Design architecture supporting BI tools such as Power BI and Databricks SQL.
• Enable advanced analytics, predictive modeling, geospatial analytics, and AI/ML use cases.
• Establish semantic modeling standards to ensure consistent business definitions across products.
• Serve as a subject matter expert in Databricks Lakehouse and multi-cloud data architecture.
• Mentor engineering teams on data modeling, governance, and scalable architecture practices.
• Collaborate with product teams and stakeholders to translate business requirements into technical solutions.
• Participate in architectural governance, vendor evaluations, and roadmap planning.

Senior Data Architect

• Translate business needs into clear, actionable technical requirements.
• Act as a bridge between Product Management, Development, QA, and business stakeholders.
• Gather, analyze, and document functional and non-functional requirements.
• Write and refine user stories, epics, and acceptance criteria.
• Support product backlog management, including prioritization and refinement.
• Participate in Agile ceremonies (sprint planning, daily stand-ups, reviews, retrospectives).
• Collaborate with development teams to ensure requirements are understood and feasible.
• Perform gap analysis between business needs and existing system capabilities.
• Support testing activities by validating requirements and assisting with acceptance testing.
• Identify issues, perform root cause analysis, and propose practical solutions.
• Communicate progress, risks, and trade-offs clearly to stakeholders.

Product Owner – Business Analyst

• Design the high‑level and detailed architecture blueprint for Irth’s new Databricks‑based data estate, including lakehouse patterns, medallion architecture (Bronze/Silver/Gold), and semantic layers.
• Develop a multi‑cloud ingestion and consolidation strategy for data sourced from AWS (S3, RDS, DynamoDB), Azure (SQL MI, Storage Accounts), GCP, and on‑prem systems.
• Define patterns for data lineage, metadata management, data quality, CDC/SCD, streaming and batch ingestion, and federated query capabilities.
• Establish an enterprise‑level data governance model, including classification schemas, residency rules, cataloging (Unity Catalog), retention policies, and security standards.
• Partner with security and compliance teams to enforce GDPR, PIPEDA, Australian Privacy Act, SOC 2, and other regulatory requirements.
• Architect for scalability, reliability, cost‑efficiency, and support of downstream analytics, reporting, GIS workflows, and AI/ML workloads.
• Produce architectural documentation, diagrams, runbooks, and design standards / best practices.
• Collaborate closely with a distributed team of data engineers to implement ingestion pipelines, Delta Lake storage patterns, orchestration workflows, and Databricks Lakeflow components.
• Provide technical leadership, code reviews, architectural guidance, and hands‑on support when needed.
• Ensure architecture is implemented consistently across tenants, clouds, products, and engineering teams.
• Work with DevOps/Platform teams on infrastructure, identity, networking, VPC/VNet, and CI/CD integration.
• Establish monitoring, observability, and operational governance for the data estate.
• Define and enforce RBAC/ABAC policies, encryption standards, audit logging, and tenant‑level isolation.
• Partner with governance teams to unify metadata and lineage across all sources via Unity Catalog and Purview integration.
• Ensure ongoing compliance with data residency and cloud‑specific regulatory constraints.
• Develop standards for retention, archival, disaster recovery, and cross‑region protections.
• Architect support for operational reporting, BI (Power BI, Databricks SQL), semantic modeling, and consumption patterns.
• Design foundations enabling AI/ML use cases such as predictive risk modeling, summarization, geospatial analytics, and LLM‑driven insights.
• Advance a BI‑tool‑agnostic semantic model strategy for consistent business definitions across products.
• Serve as Irth’s senior expert on Databricks Lakehouse architecture, modern data engineering, and multi‑cloud data strategy.
• Mentor engineers and analysts in best practices for data modeling, governance, pipeline design, and scalable architectures.
• Partner with product teams, executives, and stakeholders to translate business requirements into technical data solutions.
• Participate in vendor evaluations, roadmap planning, and architectural governance boards.

Product Manager

• Own the cross‑portfolio Insights roadmap; set vision, goals, and success metrics in partnership with vertical PMs.
• Evaluate and prioritize AI/ML capabilities and data science investments aligned to company strategy, ARR goals, and technical constraints.
• Translate market and customer needs into clear epics, features, and user stories; manage dependencies across teams.
• Define requirements for predictive models, image analysis, and probabilistic scoring; partner with data science on training needs, calibration, and accuracy improvements.
• Guide model performance evaluation and risk calibration; understand the AI/ML lifecycle from training through monitoring.
• Champion transparency and operational confidence in AI‑driven decisions with customers and stakeholders.
• Partner with UX and engineering to ship intuitive, Insight‑powered workflows that fit into customer operations.
• Support release readiness, documentation, and enablement for Insights features; function as the escalation point for complex issues and serve as domain SME through build, launch, and adoption.
• Engage customers and industry experts for discovery, feedback, and validation; conduct competitive research to improve experience and win share.
• Collaborate with product marketing, sales, and enablement on go‑to‑market for Insight‑powered capabilities.

Product Manager, Insights – AI/ML

• - Assess and understand clients’ business objectives;
• - Identify and collect customer requirements, map their business processes
• - Identify the best solutions to integrate their business processes into the Boréalis software
• - Organize and conduct meetings and work sessions with clients: produce agendas, dispatch activities and monitor their progress, customize project documentation
• - Formalize project information in the various onboarding documents
• - Configure the software in accordance with the identified requirements
• - In case of imports, manipulate and organize data, prepare imports
• - Maintain project statuses, to reflect implementation status at all times, and keep managers and clients informed
• - Identify risks and issues around projects, implement mitigation solutions.
• - Suggest sound workarounds tailored to client contexts to meet service levels agreed upon with clients;
• - Maintain implementation projects progress on budget and on time.
• - Develop and maintain a relationship of trust between customers and Boréalis;
• - Engage with clients on topics that will help Boréalis "grow its roots";
• - Develop an in-depth understanding of Borealis over time;
• - Help develop and maintain a continuous improvement approach to everyday issues.

QA Engineer

• Participate in developing test strategies for new features of our proprietary software, in collaboration with the product, design, and development teams.
• Define integration test scenarios for new features and execute them.
• Coordinate the execution of periodic regression tests.
• Actively participate in agile ceremonies.
• Develop automated regression tests (optional).

QA Analyst

Database Administrator

• Investigate and resolve database performance issues in live production environments experiencing slowdowns or overload conditions
• Respond to database-related incidents with urgency, conducting root cause analysis and implementing both immediate and long-term resolutions
• Monitor database health metrics and proactively identify potential issues before they impact users
• Participate in on-call rotation for critical database support
• Analyze slow-running queries and provide optimization recommendations to development teams
• Review and optimize database indexes based on query patterns and execution plans
• Conduct regular performance tuning of SQL queries, stored procedures, and ORM-generated queries
• Identify and resolve N+1 query problems, inefficient joins, and other common performance SQL anti-patterns
• Participate in code reviews to identify database-related issues before they reach production
• Provide guidance on database schema design, normalization, and data modeling best practices
• Advise developers on efficient data access patterns and ORM usage (Entity Framework, LINQ)
• Create and maintain database coding standards and best practices documentation
• Assist Infrastructure teams with database capacity planning, growth analysis, and scaling strategies
• Advise on database backup, recovery, and disaster recovery procedures
• Advise Infrastructure teams on plans for database migrations, upgrades, and maintenance windows
• Develop database performance monitoring and alerting strategies
• Identify opportunities for database architecture improvements and modernization
• Contribute to technical debt reduction efforts related to database performance
• Mentor developers on database optimization techniques and best practices

Backend Engineer

• Design and implement new features.
• Contribute to the technological evolution of our software platform.
• Ensure the quality and performance of our application.
• Bring your ideas and creativity to help identify the best solutions.
• Help plan tasks for each sprint.
• Participate in the code review process.
• Contribute to the development of the continuous integration (CI) system.

Full-Stack Developer, Node.js & React

Customer Success Manager

• As a Customer Success Manager (CSM), you will serve as the primary owner of post-implementation customer outcomes.
• You’ll guide adoption, help customers align product usage to business goals, and empower them to derive measurable value from Irth’s solutions.
• You won’t directly manage implementations or renewals, but you’ll act as the strategic connector between customers and internal teams — ensuring customers understand both how to use the product effectively and why it matters to their operations.
• Our CSMs are proactive advisors, data-driven problem solvers, and trusted advocates who balance tactical execution with strategic impact.
• You’ll collaborate closely with Product, Support, and Account Executives to ensure your customers maximize value and continuously evolve their partnership with Irth.
• CSMs will build domain knowledge aligned to solution categories (e.g., Damage Prevention, Land Management, Training & Compliance) to support relevant workflows, value drivers, and customer context.
• As the primary post-implementation owner of customer outcomes, you will drive adoption, enablement, and value realization across assigned accounts — tailoring strategies based on customer engagement and collaboration levels.
• Own customer adoption, value realization, and overall health across assigned accounts.
• Develop deep understanding of customer operations, use cases, and business goals to align product utilization with measurable outcomes.
• Conduct success calls and health reviews to identify optimization opportunities and drive expanded utilization.
• Deliver targeted enablement sessions to drive continuous improvement and expanded feature use.
• Evaluate customer engagement and collaboration patterns to determine the level and style of CS involvement and adapt enablement strategies accordingly.
• Collaborate with peers and leadership to conduct regular customer-facing office hours and monthly, targeted, topic-specific webinars.
• Coach customers on interpreting usage patterns and performance signals so they can connect product usage to their operational goals and business outcomes.
• Collaborate with customers to define success criteria, establish trackable milestones, and monitor progress.
• Facilitate strategic discussions that strengthen adoption, operational efficiency, and long-term value realization.
• Partner with Implementation and Support to ensure smooth transitions from onboarding to steady-state adoption and improve the customer experience.
• Provide structured, data-informed feedback to Product and Engineering teams to shape future enhancements and user experience.
• Serve as the voice of the customer by providing structured, evidence-based insights to influence roadmap and prioritization.
• Collaborate with Sales and Account Executives to share health insights that inform renewal forecasting and expansion opportunities.
• Contribute to the continuous refinement of internal playbooks, health scoring models, and success frameworks.
• Monitor health signals (usage, engagement, support trends) via dashboards and analytics tools.
• Identify early risks and coordinate mitigation plans across internal teams.
• Maintain accurate data and notes in systems of record to support visibility, forecasting, and cross-functional alignment.
• Capture sentiment, insights, and action items to ensure organizational alignment.

Engineer

• Lead advanced research initiatives to explore emerging technologies, industry trends, and best practices that can be leveraged within our product verticals.
• Serve as a subject matter expert, providing technical guidance and mentorship to engineering teams without direct management responsibility.
• Organize training sessions, workshops, and knowledge-sharing events to enhance the technical skills and architectural understanding of the development team.
• Support career development of engineering team members through coaching and feedback, helping to build a strong talent pipeline.
• Collaborate with the CTO, and business stakeholders to define a long-term innovation strategy that aligns with the company’s vision and market demands.
• Develop and continuously refine a long-term technical roadmap, incorporating emerging technologies, frameworks, and methodologies to enhance product offerings.
• Evaluate and recommend new technologies and tools that align with the company’s strategic goals and improve operational efficiency.
• Identify opportunities for innovation in product features and enhancements, leveraging cutting-edge technologies to deliver competitive advantages.
• Collaborate with product management, engineering, and customer success to translate business requirements into detailed technical specifications and architecture designs.
• Facilitate cross-functional workshops and brainstorming sessions to align teams on architectural direction and priorities.
• Serve as a technical advisor to engineering, product, and operations teams, helping to resolve complex architectural challenges.
• Establish and enforce architectural standards, best practices, and guidelines for software development, deployment, and operations to ensure high-quality software delivery across all products and platforms.
• Implement processes which ensure architectural alignment and adherence to best practices and standards.
• Develop and maintain architectural documentation, including diagrams, design patterns, and decision logs, to ensure transparency and knowledge sharing across teams.
• Represent the company at industry conferences, workshops, and seminars to share insights, gather feedback, and foster partnerships that advance our technology initiatives.
• Stay abreast of industry advancements and contribute to a culture of continuous improvement within the organization.

Human Resources Coordinator

Business Analyst

Technical Support Engineer

Software Application Engineer

Data Scientist

Senior Data Architect

Product Owner – Business Analyst

Senior Data Architect

Product Manager, Insights – AI/ML

Business Analyst

QA Analyst

Database Administrator

Full-Stack Developer, Node.js & React

Customer Success Manager

Distinguished Engineer