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Salesforce

Builds cloud software for customer relationships

Senior Manager - Forecasting & Strategy

Business OperationsPosted on Nov 10
Full-time$143.4k - $216.9k /yr

About the Job

Requirements

  • At least 7 years of experience in strategy, business operations, forecasting, analytics, customer success operations, or a related field.
  • Advanced proficiency in Excel or Google Sheets, SQL or Python, and business intelligence and analytics platforms such as Tableau, customer relationship management analytics, or comparable tools.
  • Demonstrated experience developing forecasts, predictive models, business plans, or performance measurement frameworks.
  • Strong analytical skills and the ability to synthesize complex datasets into clear business insights and actionable recommendations.
  • Experience working with customer lifecycle, product adoption, product usage, engagement, retention, or customer health data.
  • Ability to influence senior stakeholders and drive cross-functional alignment without relying solely on direct authority.
  • Executive communication and storytelling skills, including explaining forecast assumptions, risks, and business implications.

Responsibilities

  • Own and evolve customer adoption forecasting models that project product adoption, usage growth, and dollars used across customer segments, products, and portfolios.
  • Develop predictive models and leading indicators to forecast future adoption trajectories, identify customers at risk of stalled adoption, and surface opportunities to accelerate product usage.
  • Establish a consistent forecasting methodology incorporating historical adoption patterns, customer health, implementation progress, success plans, and customer engagement signals.
  • Monitor forecast accuracy, identify variances between projected and actual adoption, and continuously refine forecasting assumptions, models, and methodologies.
  • Translate adoption data into actionable insights on customer momentum, adoption barriers, risk, and expansion opportunities.
  • Partner with Customer Success leadership to develop strategic plans that improve adoption, accelerate time to value, and strengthen customer outcomes across the customer lifecycle.
  • Build data-driven frameworks to prioritize customer segments, identify adoption opportunities, and allocate Customer Success resources where they can have the greatest impact.
  • Develop scenario analyses and forward-looking projections to evaluate the potential impact of changes in customer engagement, product launches, enablement programs, and adoption initiatives.
  • Identify systemic adoption gaps and recommend scalable interventions, programs, and operating model improvements.
  • Connect customer adoption trends to broader business outcomes, including retention and growth potential.
  • Develop executive-ready dashboards, scorecards, and reporting that provide visibility into adoption performance, forecast confidence, emerging risks, and progress against strategic goals.
  • Lead recurring adoption forecast reviews and business performance discussions, communicating key trends, underlying drivers, risks, and recommended actions.
  • Establish and track key performance indicators, including adoption penetration, active usage, feature utilization, time to value, adoption velocity, and forecast accuracy.
  • Deliver concise, insight-driven recommendations that help senior leaders make proactive, data-informed decisions.
  • Build a consistent approach to measuring the effectiveness of Customer Success programs and translating results into future forecasts and strategic priorities.
  • Collaborate with Customer Success, Product, Data Science, Business Operations, Sales, and Revenue to align on adoption definitions, forecasting assumptions, metrics, and reporting standards.
  • Influence stakeholders across functions to drive alignment on priorities, resolve data and measurement gaps, and translate insights into coordinated action.
  • Champion scalable, repeatable forecasting and planning processes that improve operational rigor and decision-making across Customer Success.

Desired Qualifications

  • Experience in a software-as-a-service or enterprise software environment, particularly within Customer Success, customer experience, or product-led growth.
  • Familiarity with Salesforce products, product adoption metrics, customer success methodologies, and enterprise customer lifecycle management.
  • Experience with statistical analysis, predictive analytics, or machine learning to improve forecasting and decision-making.
  • Experience building adoption propensity models, customer segmentation frameworks, scenario planning tools, or leading-indicator dashboards.
  • Understanding of the relationship between product adoption, customer value realization, renewal outcomes, and long-term customer growth.
  • Experience presenting strategic recommendations and business performance insights to senior executives.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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