Location
Central London

Hours
Full Time

Salary
Negotiable

About the Role
Salesforce is seeking a Director of Product Strategy to join the Chief Architect Office within the Office of the CEO. Reporting to the SVP of Product Strategy, you will operate at the intersection of corporate strategy and technology—evaluating technologies, modeling monetization across market scenarios, and translating choices into actionable investment recommendations. This role is distinct from traditional product management or competitive intelligence positions. You will be part of a proactive, original-thinking team tasked with stress-testing portfolio assumptions and shaping Salesforce’s most consequential technology investments across commercial models, agentic AI, and software architectures. You will build scenario models around AI infrastructure monetization and evaluate architectural trade-offs between agentic deployment patterns. The ideal candidate understands that the best technology strategy integrates technical choices with commercial models.

Key Responsibilities
- Lead strategic planning for Salesforce's AI and platform portfolio, defining priorities, sequencing bets, and evaluating build-buy-partner/M&A options.
- Design and stress-test monetization models (pricing architectures, usage-based, API-first) for emerging AI capabilities, LLMs, and platform ecosystems in partnership with Product, Finance, and GTM teams.
- Build multi-variable models and investment theses (agentic AI, data platforms, trust infrastructure) to pressure-test decisions against competitive, regulatory, and macroeconomic shifts.
- Analyze European enterprise adoption and regulatory frameworks (EU AI Act, RGPD, Digital Markets Act) to inform regional GTM strategy and global portfolio decisions.
- Produce board-grade strategic analyses and executive briefings combining quantitative modeling, technical due diligence, and competitive positioning.

Experience
4+ years in corporate strategy, management consulting, investment banking/private equity, or tech corporate development, with a proven track record of driving major decisions and leading matrixed teams.

About You
- Strong financial modeling and quantitative analysis skills, including building and pressure-testing business cases, scenario models, market sizing frameworks, and investment return analyses.
- First-principles thinker capable of structuring ambiguous problems and communicating complex analyses to C-suite and board stakeholders.
- Working knowledge of AI/ML architectures (LLMs, agentic systems, data platforms) to evaluate trade-offs, challenge engineering assumptions, and conduct due diligence.
- Deep command of tech monetization models (SaaS, consumption, platform, open source) paired with strong financial modeling (M&A, scenario modeling, ROI).

Qualifications
- Undergraduate degree in Computer Science, Engineering, or a related technical field.
- Preferred: Domain experience in enterprise tech, cloud infrastructure, vector databases, or orchestration frameworks.
- Familiarity with supply chain, vertical AI automation, and process agentification at scale.
- Experience balancing offensive (category creation) and defensive (moat-building) strategic plays.
- Deep knowledge of the French/European enterprise tech landscape and regulatory environment.
- Advanced degree (MBA or equivalent experience) is a plus.