Fivetran

Fivetran

Senior Technical Product Marketing Manager

Toronto, Ontario, Canada · Senior · Full-time

Sponsorship not specified$138k-$155kDetected 5 days ago
PythonSQLSparkdbtData EngineeringProject ManagementSalesResearchLeadershipCommunicationCollaborationMentoringPublic Speaking

About the role

  • Fivetran is the data foundation for AI, enabling enterprises to scale analytics and operations with confidence.
  • By unifying data movement, management, and transformation, Fivetran enables a secure, reliable, and portable foundation for AI across clouds, engines, and tools.
  • This role ensures our marketing efforts align with the technical depth, clarity, and value our customers expect.

Responsibilities

  • Content Development & Messaging: Create high-impact technical collateral across the Fivetran platform, including architecture diagrams, demos, white papers, blogs, pitch decks, technical guides, and other customer-facing content.
  • Develop thought leadership that translates complex technical concepts into clear, value-based messaging for technical audiences.
  • Partner closely with Product Management to deeply understand features, technical capabilities, and customer use cases across multiple product areas.
  • Develop how-to guides, demo videos, case studies, and technical whitepapers that support adoption and expansion across key products.
  • Cross-Functional Collaboration: Act as a technical marketing partner to GTM Product Marketers, Demand Generation, Regional Marketing, Sales, and Enablement to support launches, campaigns, webinars, field events, and sales plays across priority product areas.
  • Collaborate with Partner Marketing to showcase integrations and ecosystem partnerships through joint initiatives such as webinars, workshops, and hands-on labs.
  • Provide best practices, reference architectures, and technical validation to support sales cycles and customer conversations.
  • Support analyst relations and strategic conversations by providing detailed technical insights and validating product innovation across the portfolio.
  • Experience working with multiple different teams: Proven experience partnering and coaching across Product, Sales, Marketing, and Enablement teams to deliver impactful results.
  • Highly-organized with an excellent project management track record: Strong project management skills to juggle multiple initiatives and projects, maintain proactive communication with stakeholders, and meet deadlines.

Requirements

  • Knowledge of modern data infrastructure and tools, particularly in relation to data lakes and their role in analytics and storage.

Skills

  • 4-8 years of experience in product marketing, data engineering, product management, sales engineering, and/or data and analytics consulting
  • helping organizations unlock the full value of their data.
  • Operationalize technical product marketing best practices across teams.
  • Stay up to date with trends in data integration, cloud data platforms, AI, deployment models, governance, etc.
  • Exceptional verbal and written communication skills, capable of adapting messaging for different technical personas and mediums.

Compensation

  • The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.

Benefits

  • 100% employer-paid medical insurance *
  • Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
  • RSU stock grants*
  • Monthly cell phone stipend

Company info

  • Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
  • Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data - from the moment data moves, through every transformation, to the context teams and AI systems rely on.
  • Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
  • As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
  • to make access to data as simple and reliable as electricity.
  • With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required.
  • We're proud that more organizations continue to leverage our technology every day to become truly data-driven.
  • Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights.
  • Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
  • As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust.
  • It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
  • During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
  • Fivetran and dbt
  • we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
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