Product Strategy Lead - Revenue Forecast Modeling
Spotted 1h agoFull time
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Job description
About this role
Employer-provided description, formatted for easier reading.
The Experience:
We are the CCO Product Strategy team — a newly formed and fast-growing group within Salesforce's Chief Customer Officer (CCO) organization. We sit at the intersection of product strategy, customer insight, pricing and packaging, field readiness, executive narrative, and go-to-market execution.
We work directly with senior leaders across Product, Field, Pricing, Marketing, Finance, and Customer Success to frame the company's most important strategic questions and drive them to decision. This role will focus on building the forecasting and analytical backbone that turns raw usage and pipeline data into a defensible, board-ready view of the business.
The Opportunity
You will lead end-to-end strategy workstreams including business case, revenue forecast modeling, agentic product strategy, go-to-market strategy, customer validation, consumption pricing, and competitive positioning. The role requires someone who can move fluidly from rigorous financial/analytical modeling to executive-level narrative, and from hypothesis-driven analysis to practical cross-functional execution.
Responsibilities
- Own business use case revenue forecast modeling — build and maintain the analytical models that translate initiative drivers, pipeline, and consumption data into revenue forecasts and commit views for senior leadership to inform investment decisions.
- Lead high-impact strategy workstreams end-to-end — frame ambiguous business problems, develop issue trees and workplans, identify the right analyses, and drive toward clear decision options and executive recommendations.
- Act as a strategic thought partner to senior leaders across Product, Field, Pricing, Marketing, Finance, and Customer Success, helping translate broad priorities into actionable choices, tradeoffs, and operating plans.
- Synthesize complex inputs into sharp points of view, including customer interviews, field feedback, competitive research, market scans, product roadmap inputs, usage data, pricing signals, and internal business performance.
- Drive customer-backed strategy development by designing structured interview guides, stakeholder maps, focus groups, and validation plans that test product, pricing, packaging, and GTM hypotheses.
- Build executive-ready deliverables including decision memos, leadership briefings, board-level decks, strategy narratives, business cases, and forecast/commit reporting that simplify complexity without losing rigor.
- Facilitate cross-functional alignment by identifying where stakeholders diverge, surfacing tradeoffs early, building shared fact bases, and creating the forums needed to move teams from debate to decision.
You're Our Person If:
- 5+ years of experience in management consulting, FP&A, corporate strategy, or product strategy, with demonstrated ownership of complex cross-functional initiatives.
- Strong quantitative and financial modeling background — comfortable building and maintaining forecast, commit, or revenue models from first principles.
- Demonstrated ability to break down complex business questions into structured analyses, hypotheses, decision trees, and recommendation paths.
- Excellent executive communication skills, both written and verbal, including experience creating decision memos, strategy narratives, briefing documents, and senior leadership presentations.
- Domain depth in B2B SaaS go-to-market strategy, with working knowledge of AI, agents, platform products, consumption models, and enterprise software buying motions.
- Comfort working in highly ambiguous, fast-moving environments where the problem is not fully defined, the data is incomplete, and the right answer requires both structured thinking and practical judgment.
Even Better If:
- Prior experience at a top-tier strategy consulting firm (MBB or equivalent) at the Consultant level or above, or an FP&A background at a high-growth SaaS company.
- Experience owning or contributing to revenue/commit forecasting models, pipeline analytics, or financial planning cycles.
- Experience working on monetization, pricing, packaging, consumption models, or GTM strategy for AI, platform, or usage-based products.
- Experience using advanced AI tools, copilots, or agent frameworks to accelerate research, synthesis, narrative development, and stakeholder communication.
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