Product Manager (Content Economy experience) - F

About Us: At AssistIQ we are dedicated to creating a more efficient and transparent healthcare supply chain by fixing one of the core problems - providers lack accurate data and insights on their supply and implant usage. Our AI-driven software solution provides highly accurate, seamless capture of supply and implant usage in real-time, and generates actionable insights to healthcare systems, enabling better revenue capture and reduced waste, ultimately leading to better value of care and better outcomes for patients.  About the Role: In the role of QA Engineer, you will be responsible for ensuring the quality and reliability of AssistIQ’s software products. You will own the quality of new features; from test planning, execution and feedback throughout the development cycle. We’re excited by candidates who enjoy and are capable of working in a fast-paced entrepreneurial environment. To be successful, you'll need to combine strong analytical skills and an attention to detail with a pragmatic understanding of how to deliver quality applications across an array of technology platforms. Equally important, you’ll thrive in close collaboration with product, engineering, customer success and other cross-functional teams. Given the nature of startup life, this role is dynamic with priorities evolving regularly and with strong delivery commitments. What you will do Collaborate with the product and engineering team to understand user requirements and new software features on the product roadmap Lead test planning for new releases across various products on the platform (mobile apps, web services and analytics dashboards) Mentor junior QA Engineers Develop and execute test plans to ensure the functionality, usability, and performance of software applications Analyze, interpret, and communicate qualitative and quantitative findings from tests and monitor bug resolution efforts and track results and known defects. Participate in design and code reviews to provide quality assurance feedback Conduct full regression testing as part of new release readiness Analyze test executions and product defects to understand root cause and improve software quality Develop and implement automated testing strategies for continuous integration Collaborate with customer support to reproduce and troubleshoot production issues Requirements 3+ years’ experience in software quality assurance 2+ years’ experience building and executing test plans 1+ years’ experience testing mobile applications an asset Solid understanding of QA best practices Experience with test case management tool such as TestMo, Qase, Charles, etc. Understanding of APIs, mobile app and web architecture Strong background in end to end manual testing including BE and FE Clear and proactive communication Understanding of automation frameworks Experience with automated testing tools an asset. Experience testing healthcare or supply chain systems an asset. Ability to analyze business requirements, create test cases and prioritize issues as needed Comfortable in fast-paced environments Benefits Health insurance Business travel when needed 3 weeks of vacation 10 sick days Flexible work hours Hybrid in Toronto or Montreal

What is the opportunity? As the Commercial Manager, you will be leading a Commercial Management team and play a key role in the successful delivery of projects by managing their administrative and commercial activities, client relationships, and optimizing financial performance while ensuring compliance with Entuitive and industry standards and client requirements. You will work closely with corporate management, project managers, engineers, clients, and other stakeholders to develop and maintain Commercial Management Plans that govern project financial, contractual, and risk-mitigating strategies for complex transportation infrastructure projects. This is a key role in maintaining the reputation of Entuitive as a trusted partner within our client and consulting engineering community. Lead the development and implementation of commercial management strategies, plans and processes to maximize project and corporate success in alignment with industry standards, Entuitive policies and goals, and client requirements. Establish and implement commercial management governance frameworks to monitor contract compliance and financial performance. Develop and maintain comprehensive Commercial Management Plans to govern project financial, contractual, and risk strategies with integrated commercial processes across all project phases. Build and lead a commercial management team that includes purchasing and procurement coordinators, construction and design services contract specialists, project accountants, and financial analysts. Define corporate roles, responsibilities, and escalation procedures for commercial activities. Interface and coordinate with legal advisors, project managers, risk managers, schedulers, senior Entuitive management, contractors, stakeholders, and clients to report and advise on commercial performance, and making recommendations to ensure project success. Review and approve commercial contracts, project bonding and insurance requirements, JV and partnership agreements, and project-specific strategic plans and budgets. Lead and collaborate on claims and dispute management and negotiations with clients, contractors, lenders, and other stakeholders. Raise awareness with project teams and staff of the importance of early establishment of project contractual arrangements and agreements in compliance with Entuitive standards. Assist with external audits, conduct internal audits, and perform contract reviews to identify compliance issues, mitigate risks, and promoting continuous improvement. Maintain strong up-to-date knowledge of industry standards, best practices, and commercial regulatory requirements. Support business development efforts by advising on commercial management issues and evaluating opportunities in bid proposals. Provide leadership, mentorship, training, and performance reviews for the Commercial Management team. Requirements What do you need to succeed? Bachelor’s or Master’s degree in Business Administration, Construction Law, Finance, Engineering, or related fields. Minimum of 10 years of experience in a commercial management role within the consulting engineering, construction, or transportation infrastructure sectors. Deep understanding of alternative project delivery methods such as Progressive Design-Build, Alliance, Design Build, CMAR, Design-Build-Finance, and P3 and their implications for project contracts and agreements, risk, and financial performance. Familiarity with the technical aspects, phasing, and Work & Cost Breakdown Structures (WBS & CBS) of transportation infrastructure projects to evaluate associated risks and the requisite needs and impacts of changes to scope, quality, project Key Performance Indicators (KPIs), schedule, costs, and profitability. Proven experience in contract negotiation, cost control, variations management, claims management, contract and project risk assessments, and public and private sector procurements. Strong knowledge of contract law, commercial practices, bonding and insurance, cost management, project life-cycle cost analysis and evaluation, Rules of Credit, pain/gain share mechanisms, contract administration, procurement strategies, risk mitigation, and dispute management. MRICS and MCIPS professional certifications would be a plus. Familiarity with cost management tools, accounting systems, and financial software such as Vista Viewpoint ERP, InEight PM System, MS Dynamics, and project management platforms such as Primavera P6, SAP, or Oracle. Thorough knowledge of related technology and common data environment management standards, such as ISO 19650, providing a framework for the management and exchange of data and confidential information throughout the project lifecycle. Excellent leadership, team management, communications, presentation, negotiation, and interpersonal skills, with the ability to collaborate transparently and professionally with clients, partners, project teams, and stakeholders to build long-term relationships and trust. An analytical proactive mindset with critical decision-making capabilities and the ability, passion, and strategic foresight to anticipate and mitigate commercial management risks. Knowledge and interest related to embodied carbon is considered an asset Benefits Why Entuitive?  Flexible working hours, 37.5 hour work week.  Minimum 3 days a week in office. Building strong relationships and collaborating internally is important to us!  Commitment to staff growth through mentoring and training.  Employer paid medical, dental, and vision insurance premiums for employees and their dependents.  Generous parental leave policy.  RRSP matching up to 5%.   Participation in our discretionary profit-sharing plan.  Fun social events and team-building activities.   About Entuitive  We are deeply committed to fostering an inclusive, equitable, and accessible environment where all employees and clients feel valued, respected, and supported. Entuitive will ensure that reasonable accommodations are made to persons with disabilities during the recruitment and assessment processes.  If you are excited about this opportunity and are interested in learning more about Entuitive, please check out our About Us page.  At Entuitive, we prioritize human-centric evaluation methods and do not utilize AI for screening or recruitment processes. 

About Tripstack We are travel tech entrepreneurs, changing the way millions of people travel. Our proprietary virtual interlining technology provides access to billions of travel itineraries by combining flights from different airline carriers that don’t traditionally work together. We take our customers from point A to B via C, at the lowest possible price. We are impacting the way people travel and provide higher margin opportunities to our partners that are some of the largest in the travel industry. We pride ourselves on the performance-driven environment we have created for our teams to prosper and excel in. We come to work ready, to challenge and be challenged. We’re big enough to give our teams support but small enough that every person makes a difference. There are plenty of challenges to champion. The Role We are looking for a Senior Software Engineer to join our Search Engine team, contributing to the backbone of our platform that delivers highly scalable and performant travel data. This role is ideal for an engineer with a strong foundation in C# and experience building and maintaining web services and RESTful APIs. As part of a collaborative and technically curious team, you’ll play a key role in evolving our distributed systems, improving the reliability and performance of our services, and supporting our technology initiatives. Responsibilities: Develop and build scalable systems: Be at the forefront of designing, writing, reviewing, and testing code for robust systems that handle over 250 million requests daily. You'll play a crucial role in ensuring our systems remain reliable and high-performing even as our user base continues to grow. Drive Technological Innovation: Proactively identify opportunities to leverage cutting-edge technologies and push forward technical ideas that drive the company's growth. Your contributions will shape the technological landscape of our organization and drive us towards new heights of innovation. Champion Code Quality: Lead initiatives like test-driven development and promote a culture of quality code throughout the organization. You'll have the opportunity to influence best practices and ensure that our codebase remains clean, efficient, and maintainable. Collaborate Across Teams: Work closely with product managers and other development teams to deliver high-quality products that exceed customer expectations. By collaborating cross-functionally, you'll contribute to improving our internal KPIs and driving continuous improvement across the organization. Ensure Smooth Deployment: Coordinate and monitor regular releases to production, ensuring that deployments are seamless and minimize disruption to our users. Your attention to detail and proactive approach will play a key role in maintaining the stability and reliability of our live systems. Provide On-call Support: Participate in an on-call support rotation and collaborate with the team to address any incidents impacting our live systems. Your quick thinking and problem-solving skills will be essential in resolving issues promptly and minimizing downtime. Requirements Bachelor's degree or higher in Computer Science or related technical field experience  5+ years of experience developing web services and APIs using C# in a production environment  5+ years of experience and understanding of CS fundamentals including data structures, algorithms, and complexity analysis (time and space)  Working knowledge of caching technologies such as Redis or Memcached 3+ years of experience and understanding of event processing platforms like Apache Kafka 5+  years of design and architecture knowledge as well as familiarity with object-oriented  analysis and design patterns (OOA/OOD)   Proven track record of taking ownership and successfully delivering results  Good understanding of RESTful API design and HTTP fundamentals Experience working in a UNIX/Linux environment  Understanding of performance trade-offs, load balancing and operational issues   Ability to clearly and concisely communicate with technical and non-technical  stakeholders across all levels of the organization   Additional experience that would be considered an asset:  Experience working on high-traffic B2B APIs or backend systems, with understanding of: Concurrency and thread safety Race conditions and deadlocks Distributed locking patterns Strong understanding on relational databases such as Postgres  Experience with cloud platforms (GCP preferred; AWS/Azure also valuable) Familiarity with Docker, Kubernetes, Helm, and containerized deployments Experience with CI/CD tools like GitLab CI, Bitbucket Pipelines, or Concourse Understanding of gRPC and Protocol Buffers (Protobuf) Exposure to code quality and static analysis tools (e.g., SonarQube, Snyk) Experience working in globally distributed or remote-first engineering teams What is takes to succeed here Ambition and dedication to make a difference and change the way people travel. Where we always play to each other's strength in a high performing team reaching for our common goal. We hold ourselves to the highest expectations, and move with a sense of urgency and hold ourselves accountable and win by staying true to what we believe in. Learn more about our values Benefits We offer an opportunity to work with a young, dynamic, and a growing team composed of high-caliber professionals. We value professionalism and promote a culture where individuals are encouraged to do more and be more. If you feel you share our passion for excellence, and growth, then look no further. We have an ambitious mission, and we need a world-class team to make it a reality. Upgrade to a First Class team! At TripStack, we proudly believe in embracing diversity. This is true for our team, clients, communities and stakeholders. We are an equal opportunity employer and committed to creating a safe, healthy and accessible environment. We encourage applications regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or any other grounds protected by law. Please let us know if you need any accommodations during any part of the recruitment process. TripStack thanks all applicants for their interest, however only those selected to continue in the process will be contacted. Learn more about us at www.tripstack.com #LI-Hybrid #LI-CM1

About Maneva  Maneva, a startup founded by an ex-Google Deepmind researcher, is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more.  Requirements Role & Responsibilities On-Premise Infrastructure Architecture: Design and implement robust software infrastructure for deploying vision-based AI applications directly on manufacturing floor devices and edge computing platforms. Production Software Development: Build and maintain production-grade software applications on Linux-based edge devices, including AI inference pipelines, image processing workflows, and system monitoring solutions. Reliable Operations Management: Implement comprehensive monitoring, logging, alerting, and error recovery systems to ensure high availability and reliability of deployed AI systems in industrial manufacturing environments. Vision System Integration: Develop software interfaces for AI vision systems addressing manufacturing quality control, productivity optimization, safety monitoring, and equipment uptime challenges. Data Platform Development: Contribute to building AI-powered platforms that provide data analysis for connected facility operations, including data collection, processing, and analytics pipelines. IoT & Fleet Management: Build and support device management systems for on-premise AI deployments, including remote monitoring, configuration management, and fleet-wide software orchestration across manufacturing sites. OTA Deployment Systems: Design and implement over-the-air software update mechanisms for distributed on-premise devices, ensuring safe and reliable remote updates with minimal production disruption. Industrial Integration: Collaborate with hardware teams to integrate AI applications with PLCs, existing industrial automation infrastructure, and manufacturing execution systems. Performance Optimization: Profile and optimize software performance for resource-constrained edge environments and real-time processing requirements in manufacturing settings. Must-Have Strong proficiency in Python for production software development and system architecture Proven experience architecting and building successful infrastructure solutions that ensure uptime and reliability of real-time on-premise applications 3–5 years of experience in building production-grade software systems, preferably for industrial or manufacturing environments Cloud computing experience with major platforms (AWS, Azure, GCP) for hybrid edge-cloud deployments and infrastructure management Hands-on experience with Linux systems, command line operations, and system administration for edge computing platforms Experience with containerization technologies (Docker) and deployment of applications in production environments Understanding of computer vision workflows and AI inference pipelines for manufacturing applications Knowledge of application reliability principles: monitoring, alerting, graceful degradation, error recovery, and system health management Understanding of manufacturing environments and challenges related to quality control, productivity, safety, and equipment uptime Strong debugging and problem-solving skills in production environments with minimal downtime tolerance Strongly Preferred Full-stack web development experience with TypeScript and React for building operator interfaces and dashboards Experience with IoT protocols and device management for industrial environments (MQTT, HTTP/REST APIs, industrial networking) Experience with over-the-air (OTA) software deployment and update mechanisms for on-premise industrial devices Experience with NVIDIA Jetson or similar edge computing platforms for AI deployment in manufacturing Knowledge of industrial automation protocols (Modbus, Ethernet/IP, OPC-UA) and PLC integration Nice To Have Experience with time-series databases and analytics platforms for manufacturing data (InfluxDB, Grafana, Prometheus) Background in computer vision libraries (OpenCV) and machine learning frameworks (TensorFlow, PyTorch) deployment Familiarity with manufacturing execution systems (MES) and quality management systems Experience with device management platforms for industrial IoT deployments Understanding of cybersecurity best practices for on-premise industrial systems Knowledge of data pipeline architectures for connected facility analytics Experience in food & beverage, CPG, automotive, or packaging manufacturing environments Preferred Candidate Profile On-Premise Deployment Experience: Candidates who have deployed and maintained software systems directly in industrial/manufacturing environments, addressing network constraints, security requirements, and uptime expectations Production Reliability Background: Experience in production systems where downtime has direct business impact (manufacturing, industrial automation, critical infrastructure) Vision/AI Application Deployment: Experience deploying computer vision or AI applications in real-world production environments, with an understanding of model performance, data quality, and system integration challenges Manufacturing Domain Knowledge: Understanding of manufacturing processes, quality control requirements, and operational constraints in production environments Infrastructure Mindset: Candidates who prioritize system architecture, scalability, monitoring, and long-term maintenance—not just feature development Edge Computing Experience: Familiarity with resource-constrained environments, edge device management, and distributed system challenges in industrial settings Benefits Why Join Maneva?  Work with cutting-edge Vision AI & IoT solutions that power autonomous manufacturing, robotics, and industrial automation​.  Opportunity to lead in a fast-growing AI company driving real-world impact in industrial AI adoption​.  Travel opportunities to industrial sites, tech conferences, and research labs.  Collaborate with world-class engineers & AI experts in a dynamic, innovation-driven environment.  Important Notice: Protecting Your Personal Information  We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information, via email, phone call or text message. We also do not require payment from applicants for any part of the hiring process.  If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at IT-Security@Maneva.ai. 

About Maneva Maneva, a startup founded by an ex-Google Deepmind researcher, is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more. What You'll Do As a Mechatronics Engineer at Maneva, you'll be the full-stack technical leader driving the complete integration of AI-powered systems into manufacturing environments. You will design, install, and integrate machine vision systems from the ground up — enabling manufacturers to identify defects (like imperfect chocolate bars) and optimize operations using Maneva's technology. Beyond hardware integration, you'll own, execute, and maintain the entire production software implementation, serving as the bridge between cutting-edge AI algorithms and real-world manufacturing applications. This role demands expertise across mechanical, electrical, and software domains. You'll travel to manufacturing sites, embed yourself into operations, and own full-cycle deployments that span hardware design, software development, system integration, and ongoing maintenance. From vision setup and PLC integration to deploying AI models and maintaining production software stacks, you will make our AI come alive on the line. Travel: Up to 50% (35%+ in territory, 15%+ out-of-territory), including travel to the U.S Key Responsibilities Take project ownership and architect end-to-end customer projects from design proposal through implementation and ongoing software maintenance, ensuring seamless integration of hardware and software systems Design and orchestrate AI vision system implementations by analyzing application requirements and generating hardware BOM for camera, lens, lighting, and compute component sourcing Develop, deploy, and maintain production software applications on Linux-based edge devices, including AI inference pipelines, image processing workflows, and system monitoring solutions Design and integrate AI vision systems with PLCs and existing industrial automation infrastructure, implementing robust software interfaces for real-time communication and control Communicate regularly with customers and internal stakeholders throughout the entire project lifecycle, providing technical leadership on both hardware and software aspects Deploy and maintain containerized applications using Docker, manage software updates, and ensure system reliability in production environments Navigate onsite networking, configure edge computing infrastructure, and implement secure, scalable software architectures Design signal integration and wiring for communication with sensors, I/O, and control systems while developing corresponding software drivers and interfaces Implement and maintain AI model deployment pipelines, including data preprocessing, real-time inference, and post-processing workflows using computer vision and machine learning frameworks Support plant walk-throughs and site assessments to identify high-impact AI use cases in the pre-sales process, providing technical expertise on both feasibility and implementation approaches Provide onsite support for data collection efforts in live production environments and develop software tools for training data management and model iteration Troubleshoot complex hardware-software integration issues and rapidly iterate on deployments based on real-world operational results Deliver comprehensive training to plant operators and managers on both system operation and software interfaces Document deployment configurations, software architectures, system performance metrics, and maintain technical documentation for internal use and customer value stories Requirements What We're Looking For Must-Haves Degree in Mechatronics, Electrical Engineering, Computer Engineering, Robotics, or related field – or equivalent technical industry experience combining hardware and software expertise Prior industry experience in industrial automation, machine vision, robotics, automotive, or related manufacturing technology fields Proven ability to handle complex projects as both project owner and technical lead, with direct customer engagement for technical coordination and feedback Strong programming skills in Python with experience in production software development and deployment Hands-on experience with Linux systems, command line operations, and system administration Experience with Docker containerization and deployment of applications in production environments Proficiency with computer vision libraries including OpenCV and image processing techniques Familiarity with machine learning frameworks such as TensorFlow and/or PyTorch for model deployment and inference Experience with NumPy and scientific computing libraries for data processing and analysis Experience with NVIDIA Jetson or similar edge computing platforms for AI deployment Experience with electrical wiring design, mechanical system integration, and understanding of manufacturing environments Proven ability to work independently in field environments and manage complex technical deployments Excellent communication skills for technical coordination with both technical and non-technical stakeholders Nice-to-Haves Experience with additional AI/ML frameworks and libraries (ONNX, TensorRT, OpenVINO, scikit-learn, Pandas) Proficiency in additional programming languages (C++, C#, JavaScript/Node.js for web interfaces) Experience with cloud platforms and services (AWS, Azure, GCP) for hybrid edge-cloud deployments Familiarity with embedded systems programming and real-time operating systems Experience with version control systems (Git), CI/CD pipelines, and DevOps practices Knowledge of industrial camera and image transport protocols (GenICam, GigE Vision, USB3 Vision) Experience with PLC integration protocols (Ethernet/IP, Modbus, Profinet, OPC-UA) and industrial control systems Database management experience (SQL, InfluxDB, MongoDB) for data storage and analytics Experience with message queuing systems (MQTT, RabbitMQ, Apache Kafka) for industrial IoT Familiarity with web frameworks (Flask, FastAPI, React) for building operator interfaces and dashboards Experience with monitoring and logging tools (Grafana, Prometheus, ELK stack) for production system management Knowledge of cybersecurity best practices for industrial systems Experience with fleet management and remote device management solutions Background in computer vision algorithms, deep learning model optimization, and edge AI acceleration Prior experience in food & beverage, CPG, automotive, or packaging manufacturing environments Experience in startup environments or cross-functional hardware/software product teams Understanding of lean manufacturing principles and continuous improvement methodologies Benefits Why Join Maneva?  Work with cutting-edge Vision AI & IoT solutions that power autonomous manufacturing, robotics, and industrial automation​.  Opportunity to lead in a fast-growing AI company driving real-world impact in industrial AI adoption​.  Travel opportunities to industrial sites, tech conferences, and research labs.  Collaborate with world-class engineers & AI experts in a dynamic, innovation-driven environment.  Important Notice: Protecting Your Personal Information  We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information, via email, phone call or text message. We also do not require payment from applicants for any part of the hiring process.  If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at IT-Security@Maneva.ai. 

About Borrowell: At Borrowell, we’re on a mission to help Canadians feel confident about their money. We empower individuals to take control of their financial futures by providing the tools and insights needed to understand, build, and use their credit effectively. 1 in 10 Canadians use Borrowell for comprehensive credit monitoring and personalized insights. Our innovative services, including Credit Builder and rent reporting, help consumers build credit so they can unlock access to a wider range of financial products at more competitive rates. Additionally, we offer personalized financial product recommendations from Canada’s most trusted providers based on each member’s credit profile and financial goals. Our team is diverse, inclusive, and driven by a shared passion for making a meaningful difference in the lives of Canadians. We pride ourselves on fostering a culture of collaboration, humility, and innovation. If you’re looking to join a company that’s transforming the financial landscape and empowering Canadians to achieve their financial aspirations, we invite you to explore career opportunities at Borrowell. Together, we can help Canadians feel confident about money. About the Role: As a Full Stack Developer on Borrowell’s Engineering team, you will design, develop, optimize, test, and maintain application code for in-house web and mobile products. You will ensure that software meets both the technical and business requirements that guided its design. You will be involved in the technical roadmap of upcoming net new products and you will see how your hard work directly impacts the lives of 3 million people using the Borrowell marketplace. Specifically, maintenance of existing products will happen in any role, but this isn't one of those roles where the majority of your job is maintaining something that was already created. Instead, a large chunk of your time will be spent on working in cross-functional teams (with Product, Engineering, QA, Automation, and others) to experiment, explore, and build new products and functionalities from the ground up. Requirements Working experience building scalable web micro frontend applications on the cloud, preferably in microservices architecture. Our back end is .NET 8 on Azure, but we are open to all technical backgrounds. Knowledge of modern JavaScript front-end frameworks. We primarily use React, React Native (Expo), and Typescript, with some Angular. Nice to Have Knowledge of Microsoft Azure Demonstrated proficiency with SQL and NoSQL databases Turborepo knowledge Our Engineering Team Values We work well as a team and collaborate always! We are humble and open to each others' ideas and opinions We are not afraid of making mistakes and we are always learning We are persistent about solving problems we are facing Change is good and welcomed We are always willing to take on new challenges We are not afraid to say, "I don't know," or, "I need help" We take ownership over our platform and the work that we deliver We communicate clearly to ensure we collaborate well We find the simplest solutions possible for the hardest problems The Interview Process We believe in fast, lean, and efficient processes and that trickles into every aspect of our work, including hiring. That means we don't think you need to jump through 8 hoops to land the role. Interviewing for this role is typically done in 3 steps: A phone call with a recruiter A technical coding challenge and discussion that is grounded in being practical, realistic, and open book - we're trying to understand your skills holistically, not trying to see how much you can memorize algorithms A conversation with 1-2 senior leaders That's it! After each step, we will follow up within the week. Benefits The Opportunity - join and have a major impact at a growing company that is helping make financial stability possible for everybody Comprehensive Health Benefits - medical, dental, vision, and paramedical health benefits for you and your family, with extra yearly coverage for psychotherapists and massage therapists Additional Health Benefits - virtual benefit offering that allows you to connect 24/7 with nurses, doctors and mental health professionals Maternity & Parental Leave Top-up - available to new parents Wellness Benefit - $600 annually to spend on whatever brings you joy WFH Reimbursement - we ship you gear like a laptop, mouse, keyboard, and you can reimburse additional items to make your workplace better for you Employee Development Benefit - annual reimbursements on payments to help your learning Givewell Benefit - 1 paid volunteer day a year to give back to the community Flexibility - flexible working hours and a flexible vacation policy We are remote-first across Canada with an office in Toronto. This role will require you to attend in-person meetings and team-building events. At Borrowell, one of our core values and firm beliefs is that diversity makes us better. If you’re unsure about your qualifications for this position, we’d still encourage you to apply. We’re looking for candidates who have experience, but know that not everyone’s had a chance to demonstrate what they can do. What’s most important is that you have a growth mindset and care about helping people with their finances - an area in their lives that causes a lot of stress. Please note that due to the sensitive nature of the work we do, clearing a credit and criminal record check is a condition of employment. Borrowell encourages applications from candidates with differing abilities. Please let us know if you require accommodation at any stage in the selection process.