Full-Time

Director – Machine Learning and Data Science

Confirmed live in the last 24 hours

Loopio

Loopio

201-500 employees

RFP response software for enterprises

Data & Analytics
Consulting
Enterprise Software

Expert

Remote in Canada

Remote-first workplace with a hub in Toronto, Ontario, allowing remote work within a 300 KM radius.

UK Citizenship Required

Category
Applied Machine Learning
Deep Learning
Natural Language Processing (NLP)
AI & Machine Learning
Data & Analytics
Required Skills
Kubernetes
Microsoft Azure
Redshift
Data Science
Docker
AWS
Natural Language Processing (NLP)
Databricks
Google Cloud Platform
Requirements
  • A minimum of 10 years in software engineering, with profound knowledge in machine learning or data science. Demonstrable experience with advanced ML algorithms and frameworks as well as NLP/NLU is essential.
  • Strong leadership background with proven ability to manage machine learning or data science teams in fast-paced environments. Skills should include conflict resolution, performance management, talent evaluation, and effective coaching across diverse skill levels.
  • Robust understanding of both business operations and technical/engineering principles, equipped with superior problem-solving skills to steer technical decision-making.
  • Proficient in distributed systems development using a microservices architecture.
  • Experienced in constructing and managing an Enterprise Data Warehouse (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.
  • Well-versed in deep learning frameworks, algorithms, and inference system designs, including those for cloud-based servers and hardware accelerators.
  • Experience with Public Cloud platforms (AWS, Azure, or GCP), Docker containers, Kubernetes, Infrastructure Automation, and API development.
  • Demonstrated ability in software product delivery and operations, particularly for large-scale, customer-facing, and mission-critical products.
  • Exceptional communication and interpersonal skills, with a knack for leading diverse teams and fostering cross-functional collaboration.
  • Ability to articulate technical roadmaps, challenges, and solutions clearly and effectively.
  • Proven ability to inspire and positively influence others, leading teams through complex or ambiguous situations.
  • Demonstrated understanding of total cost of ownership and cost-to-profitability models across multiple interdependent products.
  • Background in a high-growth agile software development environment, ideally within a B2B SaaS context.
  • Experience in building and maintaining large-scale systems in production environments.
Responsibilities
  • 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.

Loopio simplifies the process of responding to Requests for Proposals (RFPs) and similar documents through its RFP response software. This software features a smart content management system that organizes a company's knowledge base, allowing teams to collaborate and manage tasks efficiently. Loopio operates on a subscription-based model, providing tools that enhance workflow and automation, helping clients save time and improve response quality. The company's goal is to help medium to large enterprises streamline their proposal processes to secure more business.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$203M

Headquarters

Toronto, Canada

Founded

2014

Growth & Insights
Headcount

6 month growth

1%

1 year growth

-1%

2 year growth

-3%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for AI-driven content management boosts Loopio's market potential.
  • Integration with HubSpot enhances sales and proposal team collaboration.
  • Loopio's acquisition of Avnio expands global presence and enterprise capabilities.

What critics are saying

  • Increased competition from AI-driven RFP tools threatens Loopio's market position.
  • Economic uncertainties may reduce spending on software subscriptions.
  • Recent layoffs could affect employee morale and productivity.

What makes Loopio unique

  • Loopio's RFP response software integrates seamlessly with CRM systems like HubSpot.
  • The Response Management Loop Framework offers a holistic approach to proposal management.
  • Loopio's platform supports collaboration across distributed teams with cloud-based solutions.

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