Sales Engineer - AI & Data Platforms

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.

OverviewAt Qsight, a dynamic division of Guidepoint, we are dedicated to developing innovative data intelligence solutions tailored for the healthcare industry. Our team utilizes cutting-edge proprietary datasets and thorough analysis of alternative data sources to provide actionable insights for leading institutional investors, medical device manufacturers, and pharmaceutical companies. With a commitment to delivering market intelligence products that are highly relevant, accurate, and scalable, we ensure our global client base receives unparalleled insights.We are looking for a driven and skilled Operations Engineer to become a vital part of our expanding team. This multifaceted role centers around SaaS/platform operations and tier-2 support for client-facing systems. You will take charge of administering and ensuring the reliability of essential tools, troubleshooting and resolving escalated issues with comprehensive documentation, and creating lightweight automation and reporting solutions to minimize manual tasks as we grow.Your collaboration with Customer Success, Product, and Engineering will be crucial in proactively monitoring, supporting, and enhancing critical systems. By applying practical and creative problem-solving skills, you will improve reliability, expedite resolution times, and enhance operational visibility. On a daily basis, you will address and resolve client technical inquiries, manage vendor license administration and renewals, and generate reports that guide operational decisions.This role is hybrid based in Toronto, with the potential for fully remote work; candidates must be available to work US Eastern hours from 9 AM to 6 PM.

Overview: Join Guidepoint’s dynamic Engineering team, where we are dedicated to solving complex problems and enhancing user satisfaction. Our mission is to empower individuals and businesses with personalized knowledge-sharing solutions, and our engineering team is at the forefront, tackling architectural challenges and innovating new products to ensure seamless service delivery. This position is hybrid in Toronto. What You Will Be Responsible For: Service Decomposition: Transforming a monolithic enterprise application into distinct, independently deployable services. You will define service boundaries, design APIs, and strategize a phased migration to ensure business continuity during the architectural transition. Data Migration: Spearheading the transition from a centralized multi-tenant database to specialized, domain-specific databases. This role involves designing target schemas, developing migration tools, ensuring data integrity and validation, and coordinating cutover processes with minimal downtime. Developer Experience & Standards: Crafting patterns, libraries, and CI/CD practices that empower the engineering team to confidently build upon the new architecture.

Overview: At Guidepoint, our Engineering team is dedicated to crafting cutting-edge technology solutions that drive revenue growth, streamline costs, and enhance efficiency and productivity. As we strive to fulfill our mission of empowering individuals, businesses, and the global community through tailored knowledge-sharing solutions, our engineering team is rising to the occasion by tackling challenges to innovate new products and refine existing platforms, ensuring the seamless delivery of our services. This is a hybrid position based in Toronto. Number of openings: 2 Responsibilities: Design, develop, and sustain scalable test automation frameworks. Automate functional, API, and integration test cases by creating reusable and maintainable automated scripts. Analyze and resolve issues related to automated and load testing, propose solutions, and enhance existing scripts as necessary. Review test results, identify root causes of failures, evaluate severity and scope, and guide prioritization for resolution. Collaborate with developers to integrate automated tests into CI/CD pipelines, ensuring quality at every stage of delivery. Provide regular updates on defects, regression test status, and automation progress using Jira and other reporting tools. Assist in planning, developing, and delivering training on test automation frameworks and tools. Maintain comprehensive documentation of automation processes, templates, and best practices while driving process improvements. Work closely with engineering teams, product owners, and QA peers in Agile environments to define acceptance criteria and testing approaches. Stay abreast of technology trends and continually enhance test automation practices. Support functional and regression testing efforts as needed to ensure end-to-end quality.

About SkillersZone LLC:SkillersZone LLC stands at the forefront of affiliate marketing and recruitment software solutions. Our mission is to empower businesses by enhancing their marketing and recruitment processes through innovative and user-friendly technology. We are on the lookout for a skilled Data Engineer to join our dynamic team. In this role, you will be instrumental in developing the architecture necessary for the collection, storage, and processing of large datasets, ensuring that we have reliable access to data that drives informed decisions and fosters innovation.Position Overview:The Data Engineer will take charge of designing, building, and maintaining robust data pipelines, ensuring efficient data collection, storage, and processing across various systems. You will collaborate closely with data scientists, analysts, and other key stakeholders to guarantee that data is accessible, accurate, and reliable for business analysis and strategic decision-making.

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.

Role overview eqbank is looking for a Data Engineer based in Toronto. The main focus is on building and maintaining data pipelines that transform raw data into useful insights. These efforts help teams across the company use information to reach business objectives. What you will do Design and build data pipelines for efficient collection, processing, and storage Create analytics solutions that help drive business decisions Work with colleagues from different departments to understand data requirements and deliver results Contribute to improving how data is managed and used throughout eqbank Collaboration and impact This role involves close collaboration with teams from various parts of the business. The aim is to ensure data remains accurate, easy to access, and valuable for both daily operations and long-term planning.

Konrad Group, a digital consultancy based in Toronto, focuses on building digital products for clients worldwide. The team values analytical thinking, curiosity, and continuous learning while tackling complex business problems. Role overview The Senior Data Engineer develops and maintains scalable data platforms and pipelines. This position works closely with data analysts, scientists, and engineers to deliver secure and reliable data solutions. Key technologies include Azure Fabric, Databricks, and Snowflake. Main responsibilities Design and build scalable data pipelines and architectures. Create solutions using cloud platforms such as Azure Fabric, Databricks, and Snowflake. Optimize data workflows for reliability, scalability, and performance. Collaborate with internal teams to understand data requirements and deliver tailored solutions. Maintain data security and adhere to industry standards and best practices. Support data modeling, extraction, transformation, and loading (ETL/ELT) processes. Recommend strategies to enhance data quality and analytical capabilities. Location This position is based in Toronto.

Braze seeks a Data Scientist specializing in AI Deployment for its Toronto office. This position involves applying advanced data analysis and machine learning techniques to enhance Braze’s products and services. What you will do Work closely with teams across the company to design and implement AI-driven solutions. Build and deploy strategies that use machine learning to improve product features and performance. Apply data analysis methods to identify opportunities for product and service enhancements. Collaboration This role relies on regular collaboration with colleagues from multiple departments to ensure AI initiatives align with business goals and customer needs.

Join Lyft as a Data Engineer, where your expertise will drive innovative data solutions that enhance our ride-sharing platform. Collaborate with cross-functional teams to design, implement, and maintain robust data pipelines and architectures that support data analytics and machine learning initiatives.

Join Our Team at ShyftLabs At ShyftLabs, we are passionate about harnessing the power of data. Since our inception in 2020, we have empowered Fortune 500 companies to achieve unprecedented growth through innovative digital solutions that redefine industries and deliver tangible business results. As we continue to expand, we are on the lookout for enthusiastic problem-solvers ready to transform visionary ideas into impactful realities. Your Role as a Data Engineer We are currently seeking a talented Data Engineer to play a pivotal role in the design, development, and optimization of big data solutions utilizing the Databricks Unified Analytics Platform. This position demands a robust skillset in Apache Spark, SQL, Python, and familiarity with cloud platforms such as AWS, Azure, or GCP. The ideal candidate will collaborate effectively with cross-functional teams to foster data-driven insights and architect scalable, high-performance data systems.

About PalonaAt Palona, we are innovating operational systems for the restaurant industry with a mission to empower restaurateurs to manage their establishments with unparalleled efficiency. We specialize in creating real-world AI systems that function continuously in a production environment. Our focus is on developing AI agents capable of perceiving, reasoning, remembering, and taking action within complex physical settings.Restaurants present intricate physical environments that our AI must navigate. We are dedicated to research that stands up to real-world challenges, assisting us in understanding and acting effectively.Join Us in TorontoToronto boasts one of the most dynamic culinary scenes in North America, home to nearly 10,000 restaurants. Our proximity to clients enhances our ability to deliver tailored solutions. The city continually attracts top AI talent, excelling in both foundational AI research and practical applications. Palona is eager to broaden our engineering and research footprint in Toronto, and we invite you to be part of our Toronto office.Who is a Good Fit for Palona?You consider yourself an advanced AI software engineer, always exploring the latest AI tools and technologies.You believe your productivity exceeds that of your peers by at least tenfold.You are passionate about delivering exceptional products to your customers.You want to create innovative and exciting products.You value collaboration and care for your teammates.Who May Not Be a Good Fit for Us?You have yet to experience a transformative moment in AI.You have not been concerned about the costs associated with AI model tokens.You do not prioritize good software design principles.You are not focused on customer satisfaction.Job DescriptionWe are looking for an AI Software Engineer with a strong track record in developing comprehensive end-to-end AI products from the ground up in startup settings. You will design, develop, and deploy autonomous AI systems from inception to production. We seek quick learners who thrive on challenges and have experience delivering AI products independently in fast-paced, resource-limited environments. This role necessitates in-person commitment in Downtown Toronto.Key ResponsibilitiesDesign and deploy complete end-to-end AI products and intelligent agents from concept to production.Create autonomous systems and multi-agent architectures to address complex challenges.Launch AI agents into production with a strong emphasis on reliability and performance, utilizing cutting-edge AI models (LLMs, VLMs).Rapidly prototype and refine AI solutions in an agile startup atmosphere.Take full ownership of projects, delivering the most impactful results for our customers.

Join Lyft as a Data Engineer and play a pivotal role in shaping our data architecture and infrastructure. You will collaborate closely with cross-functional teams to design and implement robust data pipelines that enable data-driven decision-making across the organization.

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.

Join creatoriq as a Senior Data Engineer specializing in Reporting. In this pivotal role, you will leverage your expertise to design and implement robust data infrastructure, enabling our team to transform complex datasets into valuable insights. Your contributions will directly influence our reporting processes and drive data-driven decision-making across the organization.

At Relay, we empower self-made entrepreneurs with a digital banking platform that enhances financial clarity, confidence, and control. Our innovative approach transforms cash flow management from a source of stress into a powerful tool for business resilience. Our mission is to elevate the success rate of small businesses, moving beyond traditional banking limitations to enable growth and collaboration.We are seeking a Senior Data Engineer to play a pivotal role in scaling our data ecosystem during an exciting phase of growth. This is your chance to influence how we evolve our data and analytics stack, ensuring our teams have timely access to the right data for optimal decision-making.Note: Our team collaborates in a hybrid environment, working in the office three days a week (Tuesday to Thursday).Your Responsibilities:Design and implement data models using DBT within our Snowflake data warehouse, facilitating secure, privacy-preserving analytics.Ensure the scalability of technologies and processes that support our data platform as Relay grows.Develop data tools, workflows, and APIs for technical teams to access and engage with our data platform.Collaborate with stakeholders to resolve data-related technical challenges and support their infrastructure needs.Construct systems to monitor core KPIs, ensuring teams have the accurate, timely data necessary for effective operations.Partner with Trust, Security, and Governance teams to safeguard customer data through best practices in security and compliance.Qualifications:A minimum of 3 years of experience in Data Engineering.Proficiency in data modeling, data warehousing, and analytics.Experience with DBT and Snowflake or similar technologies.Strong problem-solving skills and the ability to work collaboratively in a team-oriented environment.

Konrad Group is a digital consultancy that creates technology solutions for complex business challenges. The team values creativity, technical expertise, and ongoing learning. Their digital products serve millions of users globally. Role overview This Data Engineer role is located in Toronto. The position focuses on designing, building, and maintaining scalable data platforms and pipelines. Experience with Azure Fabric, Databricks, and Snowflake is required. Regular collaboration with analysts, data scientists, and other engineers ensures that data solutions remain reliable, secure, and efficient. Main responsibilities Design and manage data pipelines and architecture to support business needs. Build solutions using Azure Fabric, Databricks, and Snowflake. Improve data workflows to enhance reliability, scalability, and performance. Work closely with internal stakeholders to understand data requirements and deliver tailored solutions. Maintain data security and ensure compliance with relevant standards. Handle data modeling, extraction, transformation, and loading (ETL/ELT) tasks. Suggest new methods to improve data quality and analytics.

About SteelSteel is pioneering open-source browser infrastructure designed for AI agents and applications. We empower developers to seamlessly deploy AI products that interact with the web via our Sessions API.With over 6,000 stars on GitHub, a growing customer base, and millions of sessions hosted each month, we achieved a remarkable 50x growth in 2025 driven solely by word-of-mouth and our vibrant open-source community. Supported by leading investors, we're assembling a compact, highly skilled team dedicated to redefining the way humans engage with the digital landscape.Discover the challenges we address: https://docs.steel.dev/overview/intro-to-steelThe RoleWe are on the lookout for an Applied AI Engineer who will play a critical role in defining how AI agents interact with the web. You will develop frameworks, create demos, and enhance the developer experience, making Steel an essential tool for AI creators.Your work will bridge product development, research, and community engagement. You will conduct experiments to determine effective strategies for browser automation with AI, translating findings into frameworks and engaging content that developers appreciate. Collaborating closely with our founding team, you will help set the development agenda, publish research establishing Steel's authority in browser agents, and create demos and integrations that attract thousands of developers to our platform.This role transcends traditional ML engineering or Developer Relations; it encompasses elements of both. You should be comfortable deploying production code, running experiments, and producing educational content for developers. Our team thrives on hard work and rapid pace, and we expect the same dedication from you. Late nights and weekend commitments are part of our journey toward excellence.Sample Projects Could IncludeDeveloping a TypeScript browser agent framework that seamlessly integrates large language models (LLMs), Steel's infrastructure, and developer tools.Conducting experiments to answer crucial developer questions: Which models excel in browser automation? What prompting strategies yield the best results? Which architectures are most effective?Creating open-source demos and applications that illustrate the capabilities of AI agents within Steel's browser infrastructure.Building integrations with AI frameworks such as LangChain and CrewAI, ensuring Steel's compatibility within the broader ecosystem.

Tali AI is a rapidly expanding startup in Canada dedicated to enhancing healthcare accessibility through artificial intelligence. We are developing a pioneering AI platform designed to streamline clinical workflows by automating data collection, processing, and sharing. This allows healthcare professionals to concentrate on delivering quality care. Our platform is utilized by thousands of clinicians across Canada and the United States, spanning various specialties and seamlessly integrated with the complex landscape of North American health record systems. Our technical vision is to create a comprehensive operating system for clinical workflows, enabling healthcare teams to customize the platform to automate their data management tasks.We tackle genuinely challenging problems:Establishing real-time audio pipelines where latency impacts outcomes and accuracy is critical.Integrating with a diverse ecosystem of clinical software, including health records, billing, scheduling, referral management, and more.Creating reliable AI workflows and agents in a domain where errors can have significant consequences.Implementing a privacy and compliance framework that is robust by design.We operate in a fast-paced market that values rapid innovation, while building and maintaining clinician trust is paramount.