AI Technology Partner Lead

Role Overview

Amplitude is hiring an AI Technology Partner Lead (full remote) to lead the strategy and execution of high-impact AI ecosystem partnerships. This role blends product, go-to-market, and business development to architect partnerships that enable product integration, co-selling, and joint market development.

Responsibilities

• Own end-to-end AI partnership lifecycle, including deal structuring and joint go-to-market execution.
• Define and prioritize Amplitude’s AI partner strategy; build durable commercial motions with each partner.
• Develop and operationalize repeatable go-to-market motions that scale beyond individual relationships.
• Drive product integration roadmaps for partner ecosystems.
• Build executive relationships across partner CTO/VP Product leadership and within Amplitude.
• Create enablement programs for internal teams and partners.
• Track success metrics and monitor AI ecosystem movement to refine the partnership playbook.

Key Partner Motion Types

• Sell-with, sell-through, and co-build plays.
• Joint deal plays combining commercial terms, integration scope, and co-marketing commitments.

Requirements

• Executive presence and communication; comfortable briefing CTO/VP Product stakeholders and Amplitude leadership with a clear point of view.
• Proven track record building technology partnerships that deliver measurable revenue and/or product outcomes.
• Technical fluency: able to credibly discuss API integrations, data pipelines, and AI/ML workflows (no coding required, but strong engineering/product dialog needed).
• Builder mindset: fast-moving ecosystem, willingness to create the playbook as it evolves.
• 7–12 years in technology partnerships, business development, or strategic alliances (ideally with AI infrastructure building or deep AI product integration experience).
• Urgency and bias to action: capable of going from zero to a live partnership and first deal within weeks.
• Strong deal and negotiation skills for complex agreements (commercial terms, integrations, co-marketing).

Nice to Have

• Experience at a product analytics, data infrastructure, or developer tools company.
• Understanding of how data and product instrumentation fits into an AI company’s stack.