Enterprise AI Technical Product Marketing Manager

Meta; Menlo Park (CA); Hybrid; USD 170,000 - 250,000; Full time

Job summary

Meta is seeking an Enterprise AI Technical Product Marketing Manager in Menlo Park to lead the go-to-market strategy for our enterprise AI products, including agent platforms, models, and APIs. You will bridge product, marketing, sales, and engineering, translating deep technical concepts into clear business value for CIOs, CTOs, and enterprise developers.

The role requires strong technical fluency, executive communication, and a track record of shipping technical content and programs for

Qualifications

• Technical fluency for conversations about APIs, integration patterns, and model behavior.
• Experience shaping go-to-market strategy and product roadmaps for enterprise AI.
• Cross-functional leadership and clear executive communications.

Responsibilities

• Drive global go-to-market strategy and execution for Meta's enterprise AI products.
• Understand technical stakeholders from CIOs/CTOs to developers and architects.
• Shape governance, procurement and integration criteria for AI platforms.
• Develop and communicate a strong enterprise AI POV to guide product roadmap.

Job description

# Enterprise AI Technical Product Marketing ManagerMenlo Park, CA+2 locationsBusiness Marketing+ 4 moreApply nowThis role will help drive global go-to-market strategy and execution for Meta's enterprise AI products, including agent platforms, models, and APIs. Aligned to enterprise technical audiences, this role lives at the intersection of technical marketing, product, sales and client enablement.You will be responsible for understanding technical stakeholders across the buying committee, from CIOs and CTOs who make decisions to the developers and architects who run proofs of concept, and for knowing how each of them finds, evaluates, and implements AI solutions. You will help build Meta's point of view on enterprise AI and use that POV to shape our go-to-market approach and product roadmap.Technical fluency is a requirement. You must be able to hold a credible conversation with a developer about APIs, integration patterns, and model behavior, and then turn around and make the governance and business case to a CIO. You will be expected to have or rapidly develop working knowledge of market-leading AI platforms, model capabilities, and integration protocols.Cross-functional leadership, executive communications skills, ability to manage multiple concurrent projects, and comfort with ambiguity are musts. You will be expected to develop knowledge of how large enterprises evaluate and adopt AI, including build versus buy dynamics, AI governance and procurement processes, and the technical criteria that determine whether a platform clears evaluation.Direct experience with API-first products, developer platforms, or enterprise AI is preferred. The ideal candidate will also have a strong existing point of view on enterprise AI adoption and a track record of shipping technical content and programs, not just strategy.