5 часов назад
Campaign Manager (AI Marketing)
102 000 - 125 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Campaign Manager (AI Marketing): Building AI-native customer engagement campaigns and workflows that identify buying signals, activate engineering teams, and grow strategic accounts with an accent on customer intelligence, campaign operations, and agentic workflows. Focus on designing evidence-driven marketing for technical hardware engineering audiences, integrating Salesforce data, and continuously improving campaigns through experimentation and learning.
Location: Hybrid, Palo Alto HQ, United States
Salary: $102K–$125K annually
Company
builds an AI foundation model for physics and an intelligence layer for hardware engineering, supporting production engineering programs at semiconductor companies.
What you will do
- Design and run B2B campaigns that identify buying signals, activate engineering teams, and expand strategic accounts.
- Build customer intelligence, agentic workflows, and data-driven engagement orchestration.
- Collaborate with Product Marketing, Sales, Application Engineering, and Product.
- Develop marketing systems, workflows, and campaigns for technical enterprise audiences.
- Measure campaign performance, test new approaches, and continuously improve results through learning.
Requirements
- 4+ years of hands-on B2B marketing experience in a technical, enterprise, or account-based environment.
- Experience personally building and running campaigns.
- Hands-on fluency with AI tools and agents such as Claude and ChatGPT.
- Operational experience with Salesforce CRM or comparable platforms, including segmentation, workflows, reporting, campaign operations, and data.
- Ability to communicate complex technical ideas clearly and precisely in writing.
- Ability to work cross-functionally, drive change, experiment, and operate with high ownership in a fast-moving environment.
Culture & Benefits
- Work in an early-stage environment helping shape how the company operates and what it ships.
- Emphasis on experimentation, action, high standards, and building new systems where existing playbooks do not fit.
- Exposure to AI-native marketing, technical infrastructure, and demanding engineering audiences.
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