Product Manager, Gtm Systems

Dropbox Dropbox · Enterprise · Canada +1 · GTM Technology Operations (Sub Team)

Product Manager for GTM Systems at Dropbox, focusing on applying AI to customer-facing workflows to improve sales, marketing, and customer success operations. The role involves defining the AI roadmap, operationalizing AI-driven workflows, delivering AI-powered solutions end-to-end, and driving adoption. Requires strong product judgment, systems thinking, and understanding of applied AI in operational environments.

What you'd actually do

  1. Shape and drive the AI roadmap and priorities for GTM systems
  2. Define and operationalize AI-driven workflows
  3. Deliver AI-powered solutions end to end
  4. Drive adoption and business impact

Skills

Required

  • Demonstrated product management experience, preferably in SaaS or internal platforms
  • Strong understanding of CRM and GTM systems such as Salesforce and adjacent tools
  • Proven ability to set product direction, prioritize effectively, and drive execution across cross-functional teams
  • Strong analytical skills, including defining metrics and making data-informed decisions
  • Experience evaluating and integrating third-party tools alongside first-party development
  • Familiarity with applying AI to business workflows such as automation, decisioning, or copilots
  • Ability to operate with speed and make sound tradeoffs under ambiguity
  • Clear communication skills and ability to align engineering, technical architects, analytics, operations, and enablement stakeholders

Nice to have

  • Experience with AI/automation in GTM workflows (agent assist, enrichment, copilots, etc.)
  • Experience working in hybrid PLG and sales-led environments
  • Experience with tools for experimentation, analytics, or workflow automation
  • Experience driving simplification or consolidation across a fragmented tool or system landscape
  • Experience leveraging AI/LLM-powered tools and workflows to improve product experiences, accelerate experimentation/analysis, and inform product decision-making (e.g., prototyping, AI-assisted analytics/insight generation)

What the JD emphasized

  • AI-powered tools and workflows
  • applied AI in operational environments
  • AI-driven workflows
  • AI-powered solutions
  • applying AI to business workflows