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Senior Director, Data Science and Machine Learning

LoopioToronto, Ontario, Canada | On HubRemote, Onsite

Take your career to new heights with Loopio! 🚀✨


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 Senior Director, Machine Learning and Data Science, to lead a dynamic group of Machine Learning Engineers, Data Scientists, and Data Engineers on our Data Enablement team.  Our ideal candidate has deep technical and leadership experience building ML/AI commercial products and is comfortable working in an evolving and dynamic environment.

This is a unique opportunity to join a growing team of creative and passionate individuals committed to solving real-world problems. Reporting to the Chief Product Officer, you will partner closely with our Senior Product Leaders and business stakeholders across Loopio to drive leadership in data and AI innovation.

What You’ll Be Doing


  • You will be a valuable member of the Senior Product 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. 
  • Build, deploy and operate production ML models to power many aspects of our product experience.

What You’ll Bring to the Team


  • 4+ years of experience in leading and growing high-performing machine learning or data science teams in fast-paced environments. 
  • Deep expertise in machine learning or data science. Demonstrable experience with advanced ML algorithms and frameworks, as well as NLP/NLU are essential. 
  • Experience building, deploying and operating ML/AI-powered customer-facing products at scale.Strategic Problem-Solving skills with the ability to align  technical/engineering principles with business priorities
  • Proficient in distributed systems development using a microservices architecture, and Public Cloud platforms
  • Prior experience in Data Warehousing (EDW), with a solid grasp of Data Lake architecture and design. 
  • Skilled in designing and implementing cloud-based training pipelines and state-of-the-art deep learning algorithms.
  • Demonstrated ability in delivering large-scale, customer-facing, and mission-critical products, ideally in agile, high-growth B2B SaaS environments. 
  • Exceptional communication and interpersonal skills, with the ability to articulate technical roadmaps, challenges, and solutions effectively across cross-functional teams. 
  • Proven ability to inspire and positively influence others, leading teams through complex or ambiguous situations.
  • Strong business acumen with an understanding of total cost of ownership and cost-to-profitability models across multiple interdependent products.
  • Experience in building and maintaining large-scale systems in production environments.

⭐️ 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

Where You’ll WorkWhere You’ll Work📍


  • Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We are HQ’d in Canada, with established hub regions around the world where we hire from.
  • Our employees (or Loopers, as we call ourselves!) live and work in 🇨🇦 Canada (British Columbia and Ontario), 🇬🇧 London, and 🇮🇳 India (specifically in Gujarat, Maharashtra, and Bengaluru).

  • The majority of our team is based in ON and BC, which means these employees live and work remotely within a 300km radius of Toronto (within Ontario) and Vancouver (Within BC). 
  • We offer flexible co-working locations available to Loopers in ON and BC. Those based in ON have the option of working out of our convenient co-working space located in the heart of Downtown Toronto and a 12-minute walk from Union Station. BC Loopers have the option to work centrally in Vancouver. It is whatever works best for you!
  • You’ll collaborate with your teams virtually across the UK, India, and North America (we’re just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work 🙇🏾 during the workday
  • We encourage asynchronous collaboration to effectively work as a global #OneTeam!

Why You’ll ♥️ Working at Loopio


  • Your manager supports your development by providing ongoing feedback and regular 1-on-1s, we leverage Lattice for our 1:1s and performance conversations  
  • You will have the opportunity to elevate 🪄 your craft and the opportunity to explore your creativity, with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact.
  • We offer a wide range of health and wellness benefits to support your physical and mental well-being, starting day 1️⃣ with Loopio.
  • We’ll set you up to work remotely with a MacBook laptop 🍏, a monthly phone and internet subsidy, and a work-from-home budget to help get your home office all set up.  

  • You’ll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment.
  • Participate in 🎤 townhalls, AMA (Ask-Me-Anything), and quarterly celebrations to celebrate the big wins and milestones as #oneteam!

  • Our four active Employee Resource Groups offer opportunities for employees to learn and connect year-round. 
  • You’ll be a part of an award-winning workplace 🏆with an opportunity to make a big impact on the business.

Questioning your qualifications? Read this ‼️ Hi there, 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.

AI in Recruitment 👩🏻‍💻

At Loopio, we leverage  artificial intelligence (AI) technology to enhance our recruitment process. These tools assist with tasks such as resume screening, drafting preliminary job descriptions, generating initial interview questions, and occasionally sourcing prospective candidates. However, AI is never used to make final hiring decisions; our use of AI  serves to support repetitive and administrative tasks in order to streamline our hiring and recruitment workflows. We are committed to the responsible use of AI in our hiring practices, prioritizing both  an improved candidate experience and operational efficiency. Our standardized hiring practices remain focused on reducing biases, with all key hiring decisions  solely made by our team. We continuously review and refine our hiring practices to align with  industry best practices and evolving legal guidelines
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 (work@loopio.com) should you require accommodations at any point during our virtual interview processes.

Life at Loopio

Loopio's RFP response software streamlines the way enterprises respond to RFPs, RFIs, and Security Questionnaires. Our platform makes sales content accessible and enables collaboration across the organization. Since 2014, Loopio has empowered hundreds of world - leading organizations, including Thomson Reuters, IBM, Netskope, Sprinklr, and Citrix. We've recently raised Series A round of financing from OpenView to help accelerate our product development and grow our team. Visit www.loopio.com to learn more.
Thrive Here & What We Value1. Remote-first workplace2. Flexible co-working locations available to Loopers in ON and BC3. Established core sync hours and focus time during the workday4. Employee Resource Groups, various virtual activities5. Award-winning company with ample opportunity for impact6. Collaborative environment supporting each other7. Opportunities for personal and professional growth8. Regular company socials, AMAs, and quarterly celebrations9. Encourages asynchronous collaboration as a global team10. Recognizes potential candidates beyond traditional job criteria
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