Product Strategy - Office of the CEO

📍 Job Overview

Job Title: Product Strategy - Office of the CEO

Company: Salesforce

Location: London, United Kingdom

Job Type: Full time

Category: Product Strategy & Corporate Development

Date Posted: 2026-09-14

Experience Level: 4+ years (Mid-Senior Level)

Remote Status: Hybrid (Remote considered for exceptional candidates)

🚀 Role Summary

• Spearhead the strategic direction and investment decisions for Salesforce's AI and platform portfolio, aligning technical capabilities with commercial objectives.

• Develop and rigorously test innovative monetization models for cutting-edge AI capabilities, LLMs, and platform ecosystems.

• Construct sophisticated scenario models and domain theses to evaluate strategic bets against evolving market dynamics, competitive landscapes, and regulatory shifts.

• Drive executive-level strategic analyses and board-grade briefings that synthesize quantitative modeling, technical due diligence, and market positioning.

• Analyze regional market dynamics, particularly in Europe, to inform global portfolio strategies and go-to-market approaches.

📝 Enhancement Note: This role is positioned within the Chief Architect Office, reporting to the SVP of Product Strategy. It is explicitly defined as not a traditional product management or competitive intelligence role, emphasizing a focus on proactive, original thinking to stress-test portfolio assumptions and influence major technology investments. The emphasis on "agentic AI" and "software architectures" suggests a deep dive into the technical underpinnings of future product development.

📈 Primary Responsibilities

• Portfolio & Investment Strategy: Lead the strategic planning for Salesforce's AI and platform portfolio, including the definition of investment priorities, sequencing of strategic initiatives, and evaluation of build-buy-partner and M&A opportunities.

• Monetization & Commercial Strategy: Design, model, and stress-test various monetization strategies, such as pricing architectures, usage-based models, and API-first approaches, for emerging AI capabilities, Large Language Models (LLMs), and platform ecosystems, collaborating closely with Product, Finance, and Go-to-Market (GTM) teams.

• Scenario Planning & Domain Theses: Develop multi-variable financial and market models, alongside robust investment theses focused on areas like agentic AI, data platforms, and trust infrastructure, to rigorously evaluate strategic decisions against potential competitive, regulatory, and macroeconomic shifts.

• Financial Modeling & Quantitative Analysis: Build and pressure-test business cases, comprehensive scenario models, market sizing frameworks, and investment return analyses, leveraging quantitative evidence to refine and defend strategic recommendations.

• Regional Market Dynamics Analysis: Conduct in-depth analysis of European enterprise adoption trends and regulatory frameworks (e.g., EU AI Act, GDPR, Digital Markets Act) to inform regional GTM strategies and global portfolio decision-making.

• Executive Deliverables: Produce high-impact strategic analyses and executive briefings, suitable for board-level review, that integrate quantitative modeling, thorough technical due diligence, and insightful competitive positioning.

📝 Enhancement Note: The responsibilities highlight a blend of strategic foresight, rigorous analytical capabilities, and strong cross-functional collaboration. The emphasis on "stress-test" and "pressure-test" indicates a need for critical evaluation and a robust challenge function within the strategy team. The inclusion of specific European regulations points to a need for nuanced understanding of global compliance and market entry strategies.

🎓 Skills & Qualifications

Education:

• Undergraduate degree in Computer Science, Engineering, or a related technical field.

• Advanced degree (MBA or equivalent experience) is preferred. Experience:

• Minimum of 4+ years of progressive experience in corporate strategy, management consulting, investment banking/private equity, or tech corporate development.

• Demonstrated track record of driving significant strategic decisions and leading cross-functional, matrixed teams. Required Skills:

• Technical Depth: Working knowledge of AI/ML architectures, including LLMs, agentic systems, and data platforms, enabling the evaluation of technical trade-offs and the ability to challenge engineering assumptions during due diligence.

• Commercial & Financial Acumen: Deep understanding of various technology monetization models (SaaS, consumption, platform, open source) coupled with strong financial modeling skills (M&A, scenario modeling, ROI analysis).

• Strategic Problem-Solving: Ability to approach ambiguous problems using first-principles thinking, structure complex analyses, and effectively communicate intricate details to C-suite and board-level stakeholders.

• Quantitative Analysis: Proven ability to perform rigorous quantitative analysis, build financial models, and develop market sizing frameworks to support strategic recommendations.

• Cross-Functional Influence: Experience in leading and influencing matrixed teams across Product, Finance, and GTM functions.

Preferred Skills:

• Domain experience in enterprise technology, cloud infrastructure, vector databases, or orchestration frameworks.

• Familiarity with supply chain optimization, vertical AI automation, and process agentification at scale.

• Experience in balancing both offensive strategies (e.g., category creation) and defensive strategies (e.g., moat-building).

• Deep knowledge of the French/European enterprise technology landscape and its regulatory environment.

📝 Enhancement Note: The combination of technical depth in AI/ML with strong financial and strategic acumen is a critical differentiator for this role. The "working knowledge" of AI/ML suggests that while not requiring an engineering background, a solid conceptual understanding is necessary to engage effectively with technical teams and evaluate complex architectures. The preference for a technical undergraduate degree further underscores this.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Strategic Framework Development: Showcase examples of developing and implementing strategic frameworks for portfolio assessment, investment prioritization, and market entry strategies.

• Financial Modeling & Scenario Analysis: Present case studies demonstrating the ability to build complex financial models, conduct scenario planning, and perform ROI analyses for technology investments or new business models.

• Monetization Strategy Design: Include examples of designing and evaluating monetization strategies for technology products or services, highlighting the integration of commercial and technical considerations.

• Technical Due Diligence Documentation: Provide evidence of conducting technical due diligence on potential acquisitions, partnerships, or internal technology initiatives, focusing on architectural trade-offs and scalability assessments.

Process Documentation:

• Strategic Planning Workflows: Document processes for strategic planning, including market analysis, competitive landscape mapping, and internal capability assessment.

• Monetization Model Design & Validation: Outline methodologies for designing, validating, and iterating on monetization models, incorporating feedback from Finance, Product, and GTM teams.

• Scenario Analysis & Risk Assessment: Detail processes for building and running scenario models, identifying key variables, and assessing potential risks and opportunities associated with different strategic paths.

• Executive Briefing & Presentation Development: Showcase a structured approach to synthesizing complex analytical findings into clear, concise, and compelling executive-level presentations and board-grade materials.

📝 Enhancement Note: Given the nature of this role, a portfolio demonstrating strategic thinking, financial rigor, and an understanding of technology's commercial implications is paramount. The emphasis on "stress-testing" and "pressure-testing" suggests that candidates should highlight examples where their analysis led to robust decision-making under uncertainty or challenged existing assumptions.

💵 Compensation & Benefits

Salary Range:

Based on industry benchmarks for Director-level Product Strategy roles in London, with 4+ years of relevant experience in tech corporate strategy or consulting, the estimated salary range is £120,000 - £170,000 per annum. This estimate considers the seniority, strategic impact, and specialized skillset required for this role within a leading technology company like Salesforce. The final offer will depend on the candidate's specific experience, qualifications, and alignment with the role's requirements.

Benefits:

• Comprehensive health, dental, and vision insurance plans.

• Generous paid time off, including vacation, sick leave, and public holidays.

• Retirement savings plan with company matching contributions.

• Employee Stock Purchase Program (ESPP) for eligible employees.

• Professional development opportunities, including training, conferences, and certifications.

• Access to Salesforce's extensive learning resources and internal training programs.

• Employee assistance programs for mental health and well-being support.

• Potential for performance-based bonuses and equity grants.

• Commuter benefits and wellness programs. Working Hours:

The standard working hours for this role are approximately 40 hours per week. However, given the strategic and executive-facing nature of the position, flexibility may be required to meet business needs, including occasional work outside of standard hours for critical deadlines or international stakeholder engagement.

📝 Enhancement Note: The salary range is an estimate based on publicly available compensation data for similar roles in London, UK, considering the experience level and industry. Salesforce typically offers a competitive total compensation package, including base salary, bonus, and equity, commensurate with the seniority and impact of the role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software (AI CRM, Cloud Computing, Enterprise Software)

Company Size: Large Enterprise (Over 10,000 employees)

Founded: 1999

Company Description: Salesforce is a global leader in cloud-based software, offering a suite of customer relationship management (CRM) applications. They are renowned for their innovation in AI, customer success, and their strong commitment to core values. The company fosters a culture of "Trailblazers" – individuals who are passionate about driving innovation, customer success, and making a positive impact on the world.

Team Structure:

• Office of the CEO/Chief Architect Office: This team operates at a high strategic level, providing critical insights and recommendations directly influencing executive decision-making and long-term company direction.

• Reporting Structure: The role reports to the SVP of Product Strategy, indicating a direct line of communication with senior leadership and a significant influence on strategic initiatives.

• Cross-functional Collaboration: The role requires extensive collaboration with Product Management, Finance, Go-to-Market (GTM) teams, Engineering, and potentially Legal and M&A teams to gather data, validate strategies, and ensure alignment across the organization.

Methodology:

• Data-Driven Decision Making: Employs rigorous quantitative analysis, financial modeling, and scenario planning to inform strategic recommendations.

• First-Principles Thinking: Tackles complex, ambiguous problems by breaking them down to fundamental principles and building solutions from the ground up.

• Collaborative Strategy Development: Works closely with various departments to ensure strategies are well-rounded, technically feasible, commercially viable, and aligned with market realities.

• Agile Strategy Adaptation: Continuously monitors market, competitive, and regulatory landscapes to adapt strategies and investment theses as needed.

Company Website: https://www.salesforce.com/

📝 Enhancement Note: Salesforce's culture is heavily influenced by its "Customer 360" vision and its commitment to "Trust, Customer Success, Innovation, Equality, and Sustainability." The "Office of the CEO" and "Chief Architect Office" context suggests a highly analytical, strategic, and forward-looking environment focused on shaping the future of enterprise technology and AI.

📈 Career & Growth Analysis

Operations Career Level: Director, Product Strategy. This level signifies a senior individual contributor or team lead role responsible for shaping high-impact strategic decisions. It requires a blend of deep analytical expertise, strategic foresight, and the ability to influence senior leadership. The scope extends beyond product-specific strategy to encompass broader portfolio and investment decisions, particularly concerning emerging technologies like agentic AI.

Reporting Structure: The role reports directly to the SVP of Product Strategy, placing it within a high-level strategic function. This provides direct visibility to senior leadership and opportunities to influence key corporate decisions. The reporting line suggests a focus on strategic advisory and analysis that supports the broader executive team.

Operations Impact: The impact of this role is significant, directly influencing Salesforce's technological direction, investment priorities, and commercial strategies for its AI and platform offerings. By stress-testing assumptions and modeling monetization scenarios, the role contributes to maximizing revenue potential, optimizing resource allocation, and ensuring Salesforce remains at the forefront of innovation in a rapidly evolving market. Decisions made here can shape product roadmaps, M&A targets, and overall market positioning.

Growth Opportunities:

• Strategic Leadership Development: Opportunities to deepen expertise in corporate strategy, technology trends (especially AI), and complex financial modeling, potentially leading to roles with broader strategic scope or team leadership.

• Executive Visibility and Influence: Direct exposure to C-suite executives and board members, providing a platform to build relationships and demonstrate strategic leadership.

• Specialization in AI and Platform Strategy: Develop deep expertise in the evolving landscape of agentic AI, LLMs, data platforms, and cloud architectures, becoming a subject matter expert within a leading tech company.

• Cross-Functional Career Pathing: Potential to transition into senior product management, corporate development, or other strategic leadership roles within Salesforce or the broader tech industry.

📝 Enhancement Note: This role is crucial for identifying and capitalizing on future growth opportunities, particularly in the burgeoning AI space. The combination of technical and commercial analysis at this level offers a unique pathway for career advancement within strategic functions.

🌐 Work Environment

Office Type: The role is based in London, UK, and operates within a hybrid work model. While remote work is considered for exceptional candidates, the expectation is likely for regular collaboration in the Salesforce London office, which typically features modern, open-plan layouts designed to foster collaboration and innovation.

Office Location(s): Salesforce's London office is centrally located, providing excellent accessibility via public transportation. Specific details on the exact office address would be provided upon further engagement.

Workspace Context:

• Collaborative Spaces: The office environment is designed with collaboration in mind, featuring meeting rooms, project areas, and communal spaces that facilitate team interaction and brainstorming.

• Technology & Tools: Access to Salesforce's robust technology infrastructure, including high-performance computing resources, advanced analytics platforms, and collaboration software essential for complex modeling and analysis.

• Team Interaction: Opportunities for regular interaction with a high-caliber team of strategists, architects, and product leaders, fostering a dynamic and intellectually stimulating work environment.

Work Schedule: A standard 40-hour work week is expected, with flexibility to accommodate project deadlines and international stakeholder meetings. This ensures that critical strategic analyses and executive communications can be delivered effectively, regardless of time zone differences.

📝 Enhancement Note: Salesforce is known for its commitment to employee well-being and productivity, often reflected in its office design and provision of resources. The hybrid model offers a balance between in-person collaboration and the flexibility of remote work.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and application by a recruiter, potentially with AI assistance, to assess alignment with minimum requirements.

• Hiring Manager Interview: A discussion with the SVP of Product Strategy or a senior member of the team to delve into your strategic thinking, experience with financial modeling, and understanding of AI/ML architectures.

• Case Study/Analytical Challenge: A take-home or in-person case study designed to evaluate your ability to structure ambiguous problems, conduct quantitative analysis, model monetization scenarios, and present strategic recommendations. This may involve building a financial model or developing a strategic thesis.

• Panel Interview: Interviews with cross-functional stakeholders (e.g., Product Management, Finance, Engineering leads) to assess collaboration skills, technical depth, and ability to influence diverse teams.

• Executive Presentation: A presentation of your case study findings or a strategic proposal to senior leadership, simulating the executive deliverables expected in the role.

Portfolio Review Tips:

• Quantify Impact: For each project or case study, clearly articulate the business problem, your analytical approach, the key insights derived, and the quantifiable impact (e.g., revenue projections, cost savings, strategic shifts influenced).

• Showcase Strategic Frameworks: Highlight examples of strategic frameworks you've developed or applied, demonstrating your ability to structure complex market and competitive analyses.

• Demonstrate Financial Modeling Proficiency: Include detailed examples of financial models, scenario analyses, and ROI calculations, explaining your assumptions and methodology clearly.

• Illustrate Monetization Strategy Design: Present case studies where you designed or evaluated monetization models, explaining the rationale behind your recommendations and their potential business outcomes.

• Emphasize Technical Understanding: For AI/ML-related projects, clearly articulate your understanding of the underlying technologies, architectural trade-offs, and their implications for product strategy and monetization.

• Tailor to Salesforce: Research Salesforce's current strategic priorities, particularly in AI and platform development, and tailor your portfolio examples to demonstrate relevance and insight.

Challenge Preparation:

• Understand Salesforce's Business: Deeply research Salesforce's product portfolio, market position, competitive landscape, and recent strategic announcements, especially concerning AI and its "Agentforce" initiative.

• Practice Financial Modeling: Be prepared to build or discuss financial models, including revenue projections, cost analyses, and valuation methodologies. Familiarize yourself with common SaaS and consumption-based pricing models.

• Develop AI/ML Conceptual Understanding: Refresh your knowledge of LLMs, agentic AI, data platforms, and their potential applications and monetization strategies. Be ready to discuss architectural trade-offs.

• Structure Ambiguous Problems: Practice breaking down complex, ill-defined problems into manageable components, developing hypotheses, and outlining analytical approaches.

• Prepare Executive-Level Communication: Rehearse presenting complex information concisely and persuasively, focusing on strategic implications and actionable recommendations.

📝 Enhancement Note: The interview process is designed to rigorously assess strategic thinking, analytical prowess, and executive presence. A well-curated portfolio that showcases tangible results and a clear understanding of technology's commercial application will be critical.

🛠 Tools & Technology Stack

Primary Tools:

• Financial Modeling Software: Advanced proficiency in tools like Microsoft Excel (including advanced functions, pivot tables, and potentially VBA), Google Sheets, and potentially specialized financial modeling platforms.

• Presentation Software: Expert use of PowerPoint or Google Slides for creating board-grade strategic analyses, executive briefings, and compelling presentations.

• Data Analysis & Visualization: Experience with tools such as Tableau, Power BI, or internal Salesforce analytics platforms for data exploration, visualization, and generating insights from complex datasets.

• Collaboration Platforms: Proficient use of Salesforce's internal collaboration tools (e.g., Slack, internal CRM features) and standard office suites (Microsoft Office 365, Google Workspace).

Analytics & Reporting:

• Business Intelligence Tools: Familiarity with BI tools for analyzing market data, competitive intelligence, and internal business performance metrics.

• CRM Data Analysis: Ability to extract and analyze data from Salesforce's own CRM platform to understand customer behavior, market trends, and product adoption patterns.

• Market Research Tools: Experience leveraging market research databases and analytics platforms (e.g., Gartner, Forrester, IDC) to gather industry insights and competitive intelligence.

CRM & Automation:

• Salesforce Platform: A strong understanding of the Salesforce ecosystem, its core products (Sales Cloud, Service Cloud, Marketing Cloud), and its platform capabilities is highly advantageous, given the company context.

• M&A/Corporate Development Tools: Familiarity with tools or platforms used for deal sourcing, due diligence management, and financial analysis in corporate development contexts.

📝 Enhancement Note: While specific tool requirements are not detailed, the nature of the role implies a need for advanced analytical and presentation software skills. A deep understanding of the Salesforce platform itself would be a significant advantage, allowing for more informed strategic analysis within the company's context.

👥 Team Culture & Values

Operations Values:

• Trust: Upholding the highest standards of integrity, data privacy, and ethical conduct in all strategic analyses and recommendations.

• Customer Success: Ensuring that strategic decisions ultimately drive value and success for Salesforce's customers, aligning technology investments with customer needs.

• Innovation: Fostering a culture of forward-thinking, exploring new technologies (especially AI), and developing innovative business models and strategies.

• Equality: Promoting an inclusive environment where diverse perspectives are valued, contributing to more robust and equitable strategic outcomes.

• Sustainability: Considering the long-term environmental and social impact of strategic decisions and technology choices.

Collaboration Style:

• Data-Driven Dialogue: Engaging in constructive debates and discussions grounded in data, quantitative analysis, and first-principles logic.

• Cross-Functional Partnership: Working collaboratively with diverse teams across Product, Engineering, Finance, and GTM, acting as a strategic advisor and facilitator.

• Executive Communication: Translating complex technical and financial information into clear, actionable insights for senior leadership, fostering alignment and driving decision-making.

• Intellectual Curiosity: Encouraging a continuous learning mindset, staying abreast of emerging technologies, market trends, and competitive dynamics.

📝 Enhancement Note: Salesforce's core values are deeply embedded in its culture. Candidates should demonstrate how their approach to strategy and analysis aligns with these values, particularly Trust, Customer Success, and Innovation.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity: The role operates at the forefront of emerging technologies and market shifts, requiring comfort with high levels of ambiguity and the ability to define clear paths forward with incomplete information.

• Influencing Without Authority: Effectively driving strategic decisions and investment recommendations across matrixed teams and senior stakeholders without direct managerial oversight.

• Balancing Technical Depth and Commercial Acumen: Synthesizing complex technical considerations (AI architectures, platform trade-offs) with rigorous financial modeling and monetization strategies.

• Staying Ahead of the Curve: Continuously monitoring and understanding rapid advancements in AI, cloud computing, and regulatory landscapes to ensure strategic recommendations remain relevant and impactful.

Learning & Development Opportunities:

• Deep Dive into AI Strategy: Gain unparalleled experience in shaping the strategic direction of AI technologies and their commercialization at a leading enterprise software company.

• Executive Exposure: Direct engagement with Salesforce's senior leadership, providing mentorship and opportunities to learn from seasoned executives.

• Advanced Financial Modeling & Scenario Planning: Hone skills in complex financial modeling, market sizing, and strategic scenario planning for high-stakes technology investments.

• Cross-Functional Mastery: Develop a comprehensive understanding of how different functions (Product, Engineering, Finance, Sales, Marketing) contribute to and are impacted by corporate strategy.

📝 Enhancement Note: This role presents a unique opportunity to tackle some of the most pressing strategic questions in the technology industry, particularly around the future of AI and its integration into enterprise solutions.

💡 Interview Preparation

Strategy Questions:

• "How would you approach modeling the monetization of agentic AI capabilities for enterprise customers, considering different deployment models and pricing structures?"

• "Describe a time you had to build a strategic investment thesis for a new technology area. What was your process, and what were the key challenges?"

• "Given the evolving regulatory landscape in Europe (e.g., EU AI Act), how would you advise Salesforce on strategic investment decisions related to AI product development?"

• "Imagine we are considering acquiring a company in the vector database space. What key technical and commercial factors would you evaluate, and how would you assess the ROI?" Company & Culture Questions:

• "What excites you most about Salesforce's mission and its 'Agentforce' initiative?"

• "How do you see your role contributing to Salesforce's core values of Trust and Customer Success?"

• "Describe your experience working with senior stakeholders and influencing strategic decisions in a large, matrixed organization."

• "How do you approach balancing offensive (category creation) and defensive (moat-building) strategic plays?" Portfolio Presentation Strategy:

• Storytelling with Data: Structure your portfolio presentations around compelling narratives that clearly articulate the problem, your analytical approach, key findings, and the tangible business impact.

• Focus on Process and Methodology: For each example, clearly explain how you arrived at your conclusions – detailing your financial modeling techniques, scenario planning approach, and strategic frameworks used.

• Highlight Quantitative Rigor: Emphasize the quantitative aspects of your work, showcasing your ability to build robust models, perform detailed market sizing, and articulate ROI analyses.

• Demonstrate Technical-Commercial Synthesis: Clearly show how you integrated technical considerations (e.g., AI architecture, platform scalability) with commercial strategy (e.g., monetization, market adoption) in your analysis.

• Concise and Executive-Focused: Prepare to present your work concisely, focusing on the strategic implications and actionable recommendations relevant to Salesforce's business. Anticipate questions about assumptions and trade-offs.

📝 Enhancement Note: Be prepared to discuss your thought process in detail, especially for case study challenges. Demonstrating a structured, analytical, and data-driven approach is key.

📌 Application Steps

To apply for this Product Strategy position:

• Submit your application: Navigate to the Salesforce Careers portal and submit your application for the "Product Strategy - Office of the CEO" role (JR360049).

• Tailor your Resume: Customize your resume to highlight your experience in corporate strategy, financial modeling, AI/ML architectures, monetization strategies, and executive-level communication, using keywords from the job description.

• Prepare your Portfolio: Curate 2-3 key projects or case studies that best demonstrate your strategic thinking, analytical capabilities, and ability to drive major decisions. Focus on quantifiable results and your process.

• Research Salesforce: Deeply understand Salesforce's business model, AI strategy ("Agentforce"), competitive landscape, and recent strategic initiatives. Familiarize yourself with their core values and culture.

• Practice Presentation Skills: Rehearse presenting your portfolio examples and potential case study responses, focusing on clarity, conciseness, and strategic impact for an executive audience.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.