SurveyMonkey

SurveyMonkey

Senior Director, AI Engineering

Ottawa, Canada · Director · Full-time

Sponsorship not specifiedDetected 161 days ago
AlgorithmsAWSGCPCloud PlatformsMachine LearningDeep LearningData ScienceNLPLLMsAgentic AILLMOpsMLOpsStatisticsA/B TestingRoadmappingResearchExperimental DesignLeadershipCommunicationCollaborationProblem Solving

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • With built-in research expertise and AI-powered technology, it's like having a team of expert researchers at your fingertips.
  • As the Senior Director of AI, you will be a critical leader in defining the future of SurveyMonkey's products and services.
  • The successful candidate will make a material contribution to the company's success by providing thought leadership around how to leverage AI technology in the SurveyMonkey product in an intuitive and natural way.

Responsibilities

  • We combine powerful capabilities with intuitive design, effectively serving every use case, from customer experience to employee engagement, market research to payment and registration forms.
  • Trusted by millions-from startups to Fortune 500 companies-SurveyMonkey helps teams gather insights and information that inspire better decisions, create experiences people love, and drive business growth.
  • SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making.
  • We're a global company where people from all backgrounds can make an impact, build meaningful connections, and grow their careers.
  • We live our company values -like championing inclusion and making it happen-by embedding them into how we hire, collaborate, and grow.
  • We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business.

Requirements

  • Technical Expertise & Innovation
  • Experience with Agentic AI Architecture, deployment and execution.
  • Familiarity with modern MLOps tools and platforms (e.g., AWS SageMaker, GCP Vertex AI, MLflow).
  • Product Thinking: Exceptional ability to translate ambiguous or high-level product needs into concrete, defensible data science problems and solutions.
  • Communication: Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders (e.g., Executives, Product Managers, Marketing).
  • NLP and LLM Proficiency (Critical):
  • Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • As such, you will be required to work from our Ottawa office up to 1 day per week.

Compensation

  • The base pay provided for this position ranges from CAD $224,000/ year - $336,000/ year depending on the geographic market and assuming a full-time schedule.

Benefits

  • Extensive practical experience with and deep theoretical understanding of machine learning algorithms, statistical modeling, and experimental design (A/B testing).
  • Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience.
  • Our teams work in a flexible, hybrid environment with thoughtfully designed offices and programs like the CHOICE Fund to help employees thrive in work and life.

Company info

  • What we're looking for This is a highly visible, strategic, and impactful role, reporting the VP of Engineering for SurveyMonkey Core Engineering.
  • They help shape everything from our culture to our business decisions.
  • SurveyMonkey is the world's most popular platform for surveys and forms, built for business-loved by users.

Equal opportunity

  • equal opportunity employer committed to providing a workplace free from harassment and discrimination.
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This listing is sourced directly from SurveyMonkey's careers page and normalized into a canonical job model.