20 days ago
Toronto, CanadaSenior
Responsibilities
- Drive the GTM data roadmap and build scalable, durable data products.
- Build and maintain data pipelines and marts powering headcount, quota attainment, pipeline, and other company-wide GTM metrics.
- Create reliable dashboards that track core performance metrics and provide company-wide insights.
- Collaborate with GTM analysts to train and enable them on datasets and data tools.
- Write documentation and tutorials for data products and tools.
- Perform ad hoc analysis and reporting while architecting analytics pipelines and data models.
- Build semantic models and run evaluations for AI tools that allow sales operators to query business data in natural language.
- Use AI-assisted development tools while maintaining clean, durable code, models, and documentation.
- Communicate data concepts through technical specifications, dashboards, and presentations to align teams on metrics and definitions.
Requirements
- 7+ years of experience in data engineering, data analytics, or analytics engineering.
- Deep expertise in data modeling and data warehouse design.
- Expert-level SQL skills and experience with columnar analytics databases such as Snowflake and BigQuery.
- Expert knowledge of Salesforce's data model and other GTM systems.
- Experience with dbt and Git.
- Experience with business intelligence tools; Hex experience is a bonus.
- Experience working with sales, sales operations, sales compensation, and finance teams.
- Experience building AI data tooling such as semantic models, context management systems, and evaluations.
- Meticulous attention to detail and the ability to self-manage work.
- Exceptional written and verbal communication skills, including the ability to work with executives, business stakeholders, and engineers.
Benefits
- Health, pharmacy, optical, and dental care benefits, subject to eligibility requirements.
- Paid time off and sick time off, subject to eligibility requirements.
- Short-term and long-term disability coverage, subject to eligibility requirements.
- Life insurance and 401(k) contribution, subject to eligibility requirements.
- Some interviews or new-hire training sessions may be held in person at a global office.
- The role is advertised for Canada with compensation varying by residence.
About Motive
Motive builds an automated operations platform that pairs IoT hardware with AI-powered software for fleets and physical operations, covering GPS tracking, ELD compliance, dashcams, safety, maintenance, and spend management. It sells hardware and SaaS subscriptions to transportation, construction, energy, field service, and public-sector customers. Founded in 2013 and headquartered in San Francisco, the privately held company reports serving over 120,000 businesses.