Engineering Manager - Data & AIAbout UsProcurify is at the forefront of Intelligent Spend Management, dedicated to providing organizations with unparalleled visibility and control over their business expenditures. Our cutting-edge platform integrates data from procurement, accounts payable, and expenses, enabling finance and operations teams to capture, analyze, and optimize every dollar spent. As a remote-first company, we are backed by top investors, empowering mid-market organizations to innovate their spend management practices.The OpportunityWe are seeking an Engineering Manager to spearhead our Data/AI team, which lies at the heart of our platform's intelligence. This pivotal team is responsible for a suite of products that utilize Machine Learning and AI, assisting our clients in streamlining their Intake to Pay workflows while saving time and enhancing decision-making.In this role, you will oversee a team of AI and Data Engineers, acting as a technical leader within the business domain. Collaborating closely with the Director of Platform Engineering, you will cultivate technical leadership and foster a highly engaged, high-performing team. You appreciate accountability and possess the ability to merge strategic foresight with pragmatic execution.What You'll DoLead & Mentor: Guide a team of 6-8 engineers, offering coaching on technical excellence, promoting individual career advancement, and fostering a high-performance culture centered on trust and collaboration.Drive Velocity: Inspire your team to consistently meet ambitious objectives. You will establish success metrics, monitor progress transparently, and communicate effectively with stakeholders to ensure alignment and celebrate achievements.Own a Complex Domain: Direct the technical strategy and long-term vision for the Data/AI team. Design a scalable data architecture while ensuring that all designs are architecturally robust, scalable, secure, and adhere to industry best practices.Balance & Strategize: Strategically manage the repayment of technical debt while facilitating new feature development. You will be instrumental in enhancing both developer and product velocity for long-term success.Evolve our Architecture: Lead your team in the design, creation, evolution, and maintenance of scalable and efficient data pipelines, model deployment, and monitoring solutions.

At Veeva Systems, we are a purpose-driven organization at the forefront of the industry cloud, empowering life sciences companies to accelerate the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last fiscal year and have significant growth opportunities on the horizon.Central to our mission are our core values: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we made history by becoming a public benefit corporation (PBC), legally committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we offer the flexibility to work from home or in the office, allowing you to thrive in the environment that suits you best.Join us in transforming the life sciences industry and making a positive impact on our customers, employees, and communities.

As the Manager of Data Infrastructure at mqreferrals, you will be pivotal in shaping our data engineering landscape, directly reporting to the Director of Data Engineering. In this dynamic leadership role, you will oversee a dedicated team of 5-6 engineers tasked with managing critical data platforms that underpin our AI and analytics initiatives. This hands-on position blends technical expertise with effective people management, where you will mentor your team, facilitate agile delivery processes, and integrate product-oriented thinking into our infrastructure approach. Your leadership will be crucial in executing our data strategy and ensuring the operational excellence of platforms that handle billions of transactions each month.We embrace a Flexible First work culture, allowing this role to be performed remotely from anywhere in Ontario and British Columbia, Canada, with quarterly travel to the United States required. Join us on this exciting journey!

Overview: Join Guidepoint as a skilled Data/AI Engineer and become a vital part of our innovative AI team in Toronto. Our Technology Hub is at the forefront of developing a modern data infrastructure that empowers advanced analytics and promotes responsible AI practices. This strategic initiative is crucial to Guidepoint's vision of harnessing cutting-edge Generative AI and analytical capabilities to enhance our Next-Gen research enablement platform and data-driven products. This role requires remarkable leadership and technical expertise to propel the creation of next-generation research enablement platforms and AI-enhanced data solutions. You will be responsible for designing and scaling Generative AI systems, including large language model (LLM) applications and intelligent research agents, while integrating responsible AI principles and top-tier MLOps practices. As a Senior AI/ML Engineer, you will play a key role in building scalable AI/ML functionalities using Databricks and other advanced tools across Guidepoint’s suite of offerings. The Technology team at Guidepoint thrives on solving complex problems and enhancing user experiences. In alignment with our mission to make individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, our engineering team is tackling challenges to refine internal application architectures and develop new AI-enabled products that optimize our service delivery. This is a hybrid position based in Toronto.

Veeva Systems is a mission-driven organization and a trailblazer in industry cloud solutions, dedicated to accelerating the delivery of therapies to patients within the life sciences sector. As one of the fastest-growing SaaS companies in history, we proudly exceeded $2B in revenue last fiscal year, with significant growth opportunities on the horizon.At Veeva, our core values drive everything we do: Do the Right Thing, Customer Success, Employee Success, and Speed. We are not just another public company; we made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the needs of our customers, employees, society, and investors.As a Work Anywhere organization, we offer the flexibility to work from home or in the office, enabling you to excel in the environment that suits you best.Join us in transforming the life sciences industry, as we strive to make a meaningful impact on our customers, employees, and communities.

Rivian and Volkswagen Group Technologies brings together two leaders in automotive innovation to shape the future of mobility. This collaboration focuses on developing advanced operating systems, zonal controllers, and cloud connectivity for software-defined vehicles. The team is dedicated to solving challenges in electric vehicle technology, aiming to set new standards in the industry. By combining expertise in connectivity, artificial intelligence, and security, the partnership works toward a more connected and sustainable future. Role overview The Senior Data Engineer, Ingestion Framework, joins the Data & AI Platform team in Vancouver. This role centers on supporting the big data platform, which operates at a petabyte scale. The main focus is on architecting and maintaining a custom vehicle data processing framework built with Go, and ensuring it integrates smoothly with the Databricks platform. What you will do Design and maintain a custom-built data ingestion framework using Go. Support seamless integration between the ingestion framework and Databricks. Help ensure reliable, large-scale operation of the vehicle data platform. Location This position is based in Vancouver, British Columbia.

About UsSamsara (NYSE: IOT) is at the forefront of the Connected Operations™ Cloud, providing organizations reliant on physical operations the ability to leverage Internet of Things (IoT) data for actionable insights that enhance operational efficiency. We are committed to improving the safety, efficiency, and sustainability of the sectors that drive our global economy, including agriculture, construction, field services, transportation, and manufacturing. Our mission is to digitalize these critical industries at scale.Joining Samsara means you will play a pivotal role in shaping the future of physical operations, working on innovative product solutions such as Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As a recently public company, we empower you with the autonomy and support to make a meaningful impact while we build for the long-term.Role Overview:The Data and Analytics team is a vital component of our Marketing department. Our goal is to drive revenue growth by equipping marketing and sales teams with the insights, tools, infrastructure, and consultancy necessary for data-driven decision-making. We are a dynamic team of data engineers, analytics managers, and data scientists, passionate about utilizing top-tier data and analytics to enhance customer experiences. Our work environment is agile, collaborative, and supportive, encouraging diverse perspectives, innovative designs, and experimentation.This position is exclusively available to candidates located in Canada.Why You Should Apply:You want to make a positive impact: Your work will have a tangible effect, helping to maintain essential services, ensure food supply, lower emissions, and, most importantly, guarantee the safety of workers.You are in control of your career path: If you are dedicated, this position can be a stepping stone to further opportunities at Samsara. We are committed to fostering employee success and have cultivated a culture that promotes rapid career advancement and countless opportunities to refine your skills in a fast-paced environment.

Mindrift is hiring a Freelance Python Data Scraping Engineer for the Tendem project. This is a part-time, remote contract role available to candidates based in Manitoba, Canada. Mindrift partners specialists with technology innovators to advance Generative AI by combining real-world expertise with AI-driven projects. Role overview This contract centers on technical data extraction and web scraping for the Tendem project. The work combines human judgment with AI-powered workflows. Collaboration with Tendem Agents is a key part of the process: while they manage repetitive tasks, you focus on ensuring the quality and usability of the data collected. What you will do Lead end-to-end data extraction from complex and dynamic websites, producing structured and accurate datasets. Utilize internal tools such as Apify and OpenRouter, along with custom workflows, to streamline data collection and validation. Adjust scraping approaches to handle interactive or JavaScript-heavy sites, adapting to changes in site structure. Enforce data quality through validation checks, consistency across sources, and adherence to formatting standards before delivery. Scale up for large datasets using batching or parallelization, monitor for failures, and maintain stability as websites evolve. Requirements Practical experience using Python for web scraping, data extraction, and data processing tasks. Knowledge of tools like Apify and OpenRouter is helpful. Ability to troubleshoot and adapt to changing or dynamic web environments. Keen attention to detail and a commitment to high data quality. Compensation Contributors can earn up to $32 per hour, depending on skill level and pace. Actual rates vary based on project scope, complexity, and required expertise. How to apply Submit your application to get started. If qualified, Mindrift will match you with projects aligned to your technical background. The work is flexible and remote, so you can contribute on your own schedule. Projects may include coding, automation, and refining AI outputs, all supporting practical advances in AI capabilities.

Join shyftlabs as a Sales Engineer specializing in AI and Data Platforms. In this role, you will leverage your technical expertise to support the sales team in delivering innovative solutions to our clients. You will work closely with customers to understand their needs and demonstrate how our products can drive their success. Your ability to communicate complex technical concepts in an understandable way will be key to your success.

As the Manager of Data Infrastructure, you will report directly to the Director of Data Engineering and spearhead a team of 5-6 engineers responsible for operating essential data platforms that fuel our AI and analytics initiatives. This newly established, hands-on leadership position blends technical expertise with personnel management, requiring you to mentor your team, promote agile methodologies, and incorporate product-focused thinking into infrastructure management. You will implement our data strategy while ensuring operational excellence across platforms that handle billions of transactions monthly. We embrace a Flexible First work model, allowing this role to be performed remotely within the provinces of Ontario and British Columbia. Quarterly travel to the United States will be necessary. We are excited for you to potentially join our team!

Join Our Team at Brillio:As a leading digital technology service provider, Brillio is at the forefront of innovation, partnering with Fortune 1000 companies to transform challenges into opportunities through strategic digital adoption. Our exceptional team, known as 'Brillians', is dedicated to integrating advanced digital and design thinking skills with a strong commitment to client satisfaction.Brillio is proud to foster an environment that attracts top talent, driven by our focus on cutting-edge technologies and exclusive digital projects. Our continuous effort to enhance the experience of our Brillians has earned us the Great Place to Work® certification, affirming our status as an employer of choice.Position Overview:We are seeking a Senior Data Engineer specializing in Big Data, Snowflake, and Agentic AI. In this role, you will leverage your expertise to drive data engineering initiatives, ensuring our clients can harness the power of data effectively.

Veeva Systems is a purpose-driven leader in the industry cloud, dedicated to helping life sciences firms expedite the delivery of therapies to patients. As one of the fastest-growing SaaS companies globally, we achieved over $2 billion in revenue in our last fiscal year, with remarkable growth opportunities on the horizon.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—guide us. In 2021, we made history by becoming a public benefit corporation, committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we promote the flexibility to work from home or in the office, enabling you to thrive in the environment that suits you best.Join us in transforming the life sciences industry while positively impacting our customers, employees, and communities.

Jobgether is hiring a Finance Staff Data Engineer, AI Native, located in Canada. This role centers on supporting financial operations with data engineering expertise while helping to advance AI-driven solutions throughout the company. Role overview The Finance Staff Data Engineer works closely with the finance department to enhance how data is used in daily operations. The position aims to improve decision-making and efficiency by building and maintaining data systems tailored to finance needs. Key focus areas Support financial operations by developing and optimizing data pipelines and tools Advance the use of AI-driven solutions within finance and across the organization Enable the finance team to make better decisions through improved access to data Location This position is based in Canada.

Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced professionals with project-based assignments that help advance AI systems for major technology companies. This freelance position is project-based and not a permanent role. Role overview The Freelance Data Science Engineer works on complex projects in sectors including telecom, finance, government, e-commerce, and healthcare. The main focus is designing and validating data science problems that closely resemble real analytical workflows in industry. What you will do Create original computational data science problems that reflect real-world analysis tasks. Develop challenges that require advanced Python programming, using libraries such as Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Design problems that are computationally intensive and would take days or weeks to solve manually. Build scenarios involving complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights. Produce deterministic problems with reproducible results by using fixed random seeds and avoiding stochastic elements. Address business topics like customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end challenges covering the full data science pipeline, from data ingestion to deployment considerations. Include big data scenarios that require scalable computational solutions. Validate solutions using Python and standard data science tools. Document each problem with a realistic business context and provide verified solutions. Requirements At least 5 years of hands-on data science experience with proven business impact. A portfolio of completed projects or publications that demonstrate strong problem-solving skills. Advanced Python skills for data science, including experience with Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels. Expertise in statistical analysis and machine learning, with a solid understanding of algorithms and practical applications. Proficiency in SQL and experience with database operations for analysis and manipulation. Experience with GenAI technologies such as LLMs, RAG, prompt engineering, and vector databases. Familiarity with MLOps practices and model deployment workflows. Knowledge of frameworks like TensorFlow, PyTorch, and LangChain. Excellent written English skills (C1 level or higher). How to apply Submit your application and CV in English. After passing the qualification process, join a project to complete tasks and receive payment. Location Remote , Manitoba, Canada

Please submit your CV in English and include your English proficiency level. This freelance, project-based role focuses on evaluating AI coding agents for Mindrift, in partnership with toloka-ai. The position is open to remote candidates based in Manitoba, Canada. It is not a permanent job, but rather a contract opportunity for skilled professionals interested in shaping how AI systems perform in real-world software development scenarios. Role overview The main responsibility is to help build a dataset that tests AI coding agents in situations modeled after authentic developer workflows. This involves designing complex tasks, setting up evaluation standards, and working within simulated environments that closely resemble actual software development settings. Key responsibilities Construct virtual companies using high-level plans, including realistic codebases, infrastructure, and supporting context such as documentation, conversations, and tickets to create a believable development history. Design and calibrate tasks from different stages of the virtual company, developing prompts and evaluation criteria to ensure tasks are solvable and fairly assessed. Create tasks within isolated environments that simulate a developer's workstation, featuring a Linux system, development tools (terminal, CLI), MCP servers (repository, task tracker, messenger, documentation), and a real web application codebase. Develop tests that accurately distinguish between correct and incorrect solutions, avoiding both overly strict and overly lenient standards. Collaborate with AI agents to verify that tests identify genuine issues, do not miss flawed solutions, and do not fail on valid ones. Review code generated by AI agents, analyze solution outcomes, and design edge cases and adversarial scenarios to strengthen evaluation. Incorporate feedback from expert QA reviewers who assess your work against established quality benchmarks. What this role does not include Data labeling Prompt engineering Writing code from scratch (the AI agent generates most code; your focus is on guidance and evaluation) This position involves frequent collaboration with advanced AI systems. Creating challenging tasks for modern models means staying close to the latest developments in AI technology.

About TripleLiftAt TripleLift, we are redefining the digital advertising landscape through visually appealing creative, reputable publishers, actionable insights, and intelligent targeting. With over a trillion ad transactions monthly, we empower publishers and platforms to effectively monetize their offerings. Our cutting-edge technology is the preferred choice for top global brands seeking to connect with audiences across various formats, including online video, connected television, display, and native ads. Clients turn to us for our innovative solutions, premium ad formats, and a dedicated team of experts committed to maximizing their advertising performance.As a member of the Vista Equity Partners portfolio, we proudly hold NMSDC certification, meet diverse spending goals, and are devoted to promoting economic inclusion. Discover more about how TripleLift enhances the programmatic ecosystem at triplelift.com.RoleAs a prominent player in the rapidly evolving AdTech Supply Side Platform, TripleLift is on the lookout for an accomplished Data Engineering Manager to lead and expand our Data Engineering team. This team is responsible for the backbone data infrastructure that powers our AdTech Exchange. You will manage the complete lifecycle of our data pipelines and platforms, guaranteeing the efficient ingestion, storage, and retrieval of event data from diverse sources. In this dynamic role, you'll mentor and lead a talented group of data engineers, identify hiring needs to scale the team, and collaborate with stakeholders across Product, Engineering, Data Science, and Commercial teams. Your leadership will be crucial in cultivating a culture of innovation and continuous improvement, driving the team towards exceptional standards in data engineering and ensuring robust delivery performance.ResponsibilitiesLead, mentor, and nurture a high-performing, geographically distributed team of data engineers, promoting a collaborative, inclusive, and growth-oriented culture while identifying talent needs and recruiting top candidates to enhance the team.Oversee the design, implementation, and maintenance of scalable, low-latency data pipelines and platforms that process hundreds of billions of daily events, ensuring optimal ingestion, processing, and storage of high-volume, high-throughput event data.Manage data platforms, including data lakes (S3), warehouses (Snowflake), and real-time...

About this OpportunityJoin a global leader in networking that is transforming how businesses manage their networks. Our AI Core group is at the forefront, developing pioneering platforms across various domains such as Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and fine-tuning large language models. Here, innovation is not just welcomed; it is a core expectation.The RoleAs a pivotal AI ML Engineer, you will take on a leadership role in shaping our machine learning strategy. You'll be responsible for creating intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time.Key ResponsibilitiesDefine and lead the technical vision for machine learning solutions across our product portfolio.Manage the complete software development lifecycle, overseeing everything from design and code reviews to deployment and operational management.Architect robust, scalable microservices, including both synchronous and asynchronous web services.Develop real-time inference pipelines for complex models leveraging tools like Triton, TensorRT, and mixed-precision computing.Mentor fellow engineers, establish technical direction, and cultivate a strong team culture.Promote engineering excellence, system resilience, and continuous improvement in operations.

Role overview c-serv is seeking a Senior Machine Learning Engineer with expertise in Artificial Intelligence, Machine Learning, and Big Data. This position is fully remote and open to candidates residing in Canada. The role centers on applying technical depth to projects that shape the direction of technology within the company. What you will do Use advanced algorithms and data-driven methods to solve practical challenges on real-world projects. Collaborate with a skilled team to build and refine AI solutions. Offer technical insight that helps guide the development and improvement of key projects. Collaboration Work alongside professionals who value practical innovation and measurable outcomes. The team emphasizes open communication and collective problem-solving to achieve strong results.

Role overview Chainalysis is seeking an Engineering Manager to lead the Data Cloud team in Canada. This position focuses on building and refining data infrastructure that supports transparency within blockchain technology. The manager will play a key role in ensuring the team’s work advances the company’s mission. What you will do Supervise engineering teams working on data-driven initiatives Guide the development and ongoing improvement of data infrastructure Ensure projects are completed successfully and align with organizational objectives About the team The Data Cloud group at Chainalysis focuses on making data accessible and reliable. Their projects provide insights and solutions that help clarify blockchain activity and support the company’s broader goals.

Role Overview Talan is hiring a Business Development Manager focused on Data, AI, and Analytics in Montreal. This role centers on driving business growth with data-driven solutions and building strong client partnerships. The position involves leading projects that apply AI technologies to solve real business challenges.