Senior Field Marketing Manager - AI & LLM Partnerships
Location: New York City, New York · Category: Marketing & Growth · Seniority: Senior · Posted: September 29, 2026 · Verified: Oct 8, 2026
Role Overview & Description
About the company
Similarweb
similarweb.comDigital intelligence software for web, app, ecommerce, and advertising insights.
Similar Positions in DACH
Related roles across advertising, media, and data
Strategic marketing role owning programs end-to-end, managing marketing systems, and building partnerships. Requires experience in digital marketing programs like paid search, email, CRM, and SEO.
Senior marketing role responsible for positioning and messaging of Teamwork.com's products. Likely involves market research, competitive analysis, and go-to-market strategy.
This role owns field marketing programs for enterprise accounts, partnering with sales to create pipeline and deepen executive relationships. The Enterprise Field Marketer will manage the full program lifecycle from strategy through execution, including executive dinners, roundtables, and conference activations. The role requires strong commercial judgment and the ability to move from territory strategy to tactical execution.
This role defines the product vision, roadmap, and go-to-market strategy for AI-driven marketing solutions. It requires bridging AI capabilities with marketing needs to deliver impactful products.
More Positions at Similarweb
3 more open roles
This role manages relationships with key capital markets clients, ensuring they derive maximum value from Similarweb's solutions. The Senior Customer Success Manager will drive adoption, conduct business reviews, and identify growth opportunities.
This role focuses on building and maintaining the data infrastructure that supports Similarweb's analytics products. The Senior Data Engineer will design and optimize data pipelines, ensure data quality, and improve system scalability.
This backend engineering role focuses on integrating AI capabilities into Similarweb's data processing pipelines. The engineer will develop and optimize backend services that leverage machine learning models to enhance product features.
