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Senior Manager, Machine Learning and Data Science



Software Engineering, Data Science
Toronto, ON, Canada
Posted on Thursday, May 23, 2024
Loopio is a workplace that unleashes learning & growth opportunities for our Loopers. We provide autonomous, challenging work that allows each employee to master their craft. We attract and retain people who are naturally curious, have grit and are eager to grow and build their careers. At Loopio, we genuinely support each other, because true success comes from working as #oneteam.
Loopio’s Data Enablement Team works together on a mission to transform the RFP response process into a rapid and seamless experience. Our team works across all platform portfolio features and delivers innovative solutions where it matters the most for our customers.
We are looking for an experienced Sr. Manager, Machine Learning and Data Science, to lead a dynamic group of Machine Learning Engineers and Data Scientists on our Data Enablement team. Our ideal candidate has deep technical and leadership skills and is comfortable working in an evolving technology infrastructure and dynamic environment. This is a unique opportunity to join a growing team of creative and passionate individuals committed to solving real-world problems. You will empower engineers, product, and data scientists with tools that enable and streamline data-driven decision-making, analysis, and feature development.
You will partner closely with other Senior Engineering Leaders, Data Scientists, Machine Learning Engineers, Product Managers and Designers, and other business stakeholders to help us take Loopio’s data value and AI innovation to the next level.

What You’ll Be Doing

  • You will be a valuable member of the Senior Engineering Leadership team and, as such, responsible for fostering a thriving culture, product execution and innovation.
  • Lead the development of advanced automation tooling for data orchestration, evaluation, testing, monitoring, administration, and data operations.
  • Inspire and lead the Data Enablement team, which includes Machine Learning Engineers, Data Scientists and Data Engineers, by setting clear objectives, promoting innovation, and ensuring alignment with the company’s strategic goals.
  • Responsible for creating a high-performing team and fostering a culture of technical excellence, continuous improvement, and collaborative problem-solving within the team.
  • Lead with company values in mind and help create bridges across organizations.
  • Lead the development of scalable data pipelines using Databricks, and AWS (Redshift, S3, RDS), and other cloud technologies.
  • Lead the support of Loopio’s data warehouse (Redshift) and data lake (Databricks delta lake)
  • Lead the orchestration of pipelines using workflow frameworks/tooling

What You’ll Bring to the Team

  • 10+ years of experience in software engineering, machine learning, or data science with recent experience in machine learning demonstrating mastery of advanced ML algorithms, frameworks,
  • 3+ years of people management experience, including highly effective conflict resolution, performance management, talent reviews, succession planning, coaching low to high-level performer
  • Strong understanding of business operational and technical/engineering concepts backed by problem-solving skills to help drive technical decision-making.
  • Experience with distributed systems development using microservices architecture
  • Experience in building and maintaining an enterprise data warehouse (EDW) and being well-versed in Data Lake architecture and design.
  • Demonstrated experience designing and developing cloud-based training pipelines
  • Ability to implement state-of-the-art deep learning algorithms
  • Knowledge of deep learning frameworks, algorithms and design of various inference systems, including cloud-based servers and hardware accelerators
  • Experience in Public Cloud (AWS, Azure or GCP), Docker containers, Kubernetes, Infrastructure Automation and API development
  • Proven experience in software product delivery and operations for large-scale customer facing and mission-critical products
  • Exceptional communication and interpersonal skills, capable of leading diverse teams and driving cross-functional collaboration.
  • Ability to influence and inspire others to positively impact decisions and lead teams through complex or ambiguous situations or challenges
  • Demonstrated business acumen when it comes to understanding the total cost of ownership and cost-to-profitability models across multiple interdependent products.
  • Experience working in a high-growth agile software development environment, ideally with experience in B2B SaaS.
  • Experience building and supporting large-scale systems in a production environment
  • Ability to clearly communicate technical roadmap, challenges, and mitigation

Bonus Qualifications

  • Experience with container orchestration (leveraging tools like Docker, ECS, Kubernetes)
  • Experience working with BI PaaS / SaaS solutions
  • Familiarity with microservice architectures
  • Hands on experience as ML/DS engineer
  • Experience with Natural Language Processing techniques
  • Experience using deep learning frameworks such as TensorFlow / Pytorch
We recognize that all too often, potential candidates don’t apply for a position simply because they don’t hit every single criteria included in the job description—particularly members of underrepresented groups.
Whether or not your experience checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage, so we've created prompts in the application for you to share more about yourself. If you've made a career transition (or a few!), you’re self taught in a new role, or you have skills/experience you’d like to highlight, we want to hear more about what you could bring to the table.
Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team ( should you require accommodations at any point during our virtual interview processes.