Product Strategy Lead - Revenue Forecast Modeling
Salesforce
- Location
- California San Francisco
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 498 approvals (FY2023)
- Posted
- Sep 13, 2026
Skills
About this role
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Product Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. 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