Responsibilities

• The successful candidate must combine strong business acumen with hands-on AI product building skills. They must have a deep understanding of the startup ecosystem and lifecycle stages, and be willing to work directly with sales teams while leveraging AI tools, advanced analytics, and large datasets to drive decision-making with high degrees of ownership and accountability. This is a hands-on role, the candidate must be willing to get their hands dirty and dive deep into the details.
• This role requires someone who has built AI-native applications or products. The ideal candidate understands how to design, build, and orchestrate AI agents, implement workflow automation, develop evaluation criteria to ensure quality, measure impact, and iterate on AI solutions in a business context. The candidate should also be an active user of AI in their day-to-day work, with a practical understanding of where AI output can be trusted versus where human judgment and validation are still required.
• The candidate should be familiar with the dynamics of building delivering executive insights to senior leaders, where asks are frequently ambiguous, timelines are tight, and the bar for accuracy is high. They should be adept at triaging ad-hoc requests from leadership, setting expectations with requestors, and flagging risks early. They should demonstrate genuine interest in cloud competitive dynamics and the ability to make high-judgment calls with precision and strong attention to detail.
• Strong written and verbal communication skills are essential, including experience presenting data-driven recommendations to senior management. The ideal candidate must operate effectively in ambiguous environments, demonstrate success in managing multiple concurrent projects, and drive them to completion. As this role influences team members worldwide, strong collaboration skills and the ability to influence without authority are crucial. They must work effectively with diverse stakeholders including sales, operations, business development, technical, marketing, partner, finance, HR, and legal.

Requirements

• Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field
• 3+ years of experience in Sales Operations, Strategy, Finance, Business Development, or analytical roles within technology companies
• Experience in scripting for automation (e.g. Python), SQL, and Excel for manipulating and analyzing large datasets
• Demonstrated experience in strategic analysis, translating ambiguous business problems into actionable recommendations, and presenting to senior leadership
• Experience building AI-native applications, agents, or automated workflows in a business context

Preferred

• Experience working within a high-growth, technology company
• Experience building and orchestrating AI agents, including evaluation frameworks, iteration cycles, and measuring impact of AI-powered solutions
• Familiarity with cloud/AI competitive dynamics and the startup ecosystem
• Experience with sales CRM tools (e.g. Salesforce) and defining or implementing sales processes and procedures
• Experience in executive reporting with high accuracy and data traceability standards
• Strong understanding of Amazon's operational model and mechanisms

Benefits

• Amazon benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.