Dropbox

Dropbox

Senior Financial Planning & Analysis Partner - Product & Growth

Remote - Canada: Select locations · Senior

Sponsorship not specifiedDetected 26 days ago
SQLData ScienceData VisualizationFinancial ModelingFinancial AnalysisAccountingFP&ALeadershipCommunicationProblem SolvingAdaptability

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 50%

Of 10 labor certifications old enough to have been used, 5 expired without the employer filing the next step. Median time from filing to decision: 497 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

15 transfer filings in the last year, covering 15 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • The ideal candidate combines strong financial acumen with a deep understanding of SaaS business models and growth drivers.
  • They will translate complex data into clear insights, identify opportunities to improve business performance, and help leaders evaluate investments and strategic tradeoffs.

Responsibilities

  • Serve as a strategic thought partner to Product leadership, helping shape short-term priorities and long-term direction for the core business
  • Build driver-based financial models that connect product performance and customer behavior to revenue, ARR, retention, and profitability
  • Develop business cases and scenario analyses that clearly articulate expected returns, risks, dependencies, and tradeoffs
  • Partner across Product, Finance, Data Science, and Marketing to establish targets, define success metrics, and evaluate business performance
  • Advanced financial modeling skills, including experience building driver-based forecasts, scenario analyses, and investment cases
  • Proven ability to work independently, take ownership, and create structure in fast-moving or ambiguous situations

Requirements

  • Experience supporting Product, Growth, or Monetization teams within a subscription-based or SaaS company
  • Strong understanding of SaaS business models and metrics, including ARR, conversion, retention, churn, customer lifetime value, marketing customer acquisition metrics, and unit economics
  • Demonstrated ability to translate complex data and open-ended business questions into clear insights and actionable recommendations
  • Excellent communication and cross-functional partnership skills, including the ability to influence senior leaders and non-finance stakeholders
  • Practical experience using AI tools to improve analysis, modeling, automation, communication, or other daily workflows

Nice to have

  • Experience evaluating product-led growth initiatives, pricing and packaging decisions, customer funnel performance, or retention strategies
  • Familiarity with SQL, data visualization platforms, or other tools for independently accessing and analyzing business data
  • Experience partnering with Data Science, Analytics, Product Development or Engineering teams to define metrics and measure product performance
  • AI fluency means using these tools to amplify human judgment, not replace it.
  • We believe people with these skills will thrive as work and technology continue to evolve:
  • Awareness: U nderstand yourself and others.
  • Judgment: E valuat e information and mak e decisions in complex situations.
  • Adaptability: L earn, adjust, and stay effective through change.

Skills

  • Role Description
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This listing is sourced directly from Dropbox's careers page and normalized into a canonical job model.