Senior Analyst, AI-Enabled Strategy & Long-Term Planning

The Senior Analyst, AI-Enabled Strategy & Long-Term Planning will help shape and operationalize the organization’s long-range business plans. This person will combine strong business judgment, analytical rigor, and practical knowledge of AI systems and tools to turn complex data and emerging opportunities into clear strategic choices, plans, and measurable outcomes.

The role partners across business, finance, product, marketing, sales operations, data, and technical teams. It is suited to someone who can understand how the business creates value, assess where AI can improve decisions or workflows, and communicate recommendations in a concise, compelling way to senior stakeholders. This is an applied strategy-and-planning role; it does not require building foundation models or serving as a production ML engineer.

The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance. 

$133.2K - $212.7K USD

We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.

• Bachelor’s Degree in Business, Economics, Finance, Marketing, Analytics, Information Systems, or a related field, or equivalent practical experience.
• 6+ years of relevant experience in strategy, business planning, business operations, finance, marketing or sales operations, analytics, or a related discipline; equivalent combinations of education and experience may be considered.
• Strong business acumen, including the ability to understand business models, value drivers, customer or market context, financial and operational trade-offs, and strategic priorities.
• Demonstrated ability to independently structure and solve complex business problems using quantitative and qualitative analysis.
• Experience building or using analytical models, forecasts, dashboards, KPI frameworks, or scenario analyses to inform decisions.
• Practical familiarity with AI systems and tools (for example, generative AI and AI-assisted analytics), including the ability to assess appropriate use, verify outputs, and recognize limitations, privacy concerns, and potential bias.
• Strong written, verbal, and visual communication skills, including experience presenting concise recommendations to senior stakeholders.
• Proven ability to manage complex, cross-functional workstreams, align contributors, and deliver outcomes amid ambiguity and changing inputs.