Content Marketing Manager
RetoolSalary not specified
- Full Time
- Entry Level & New Grad
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & AI, Software as a Service (SaaS), BiotechnologyIndustries
Requirements
Candidates should have 5+ years of content marketing experience, preferably in a technical B2B environment (data, AI, engineering, etc.), a strong writer and editor with a portfolio of high-performing content, and experience collaborating with designers. Familiarity with content creation for platforms like LinkedIn, Twitter/X, YouTube, and emerging channels, along with deep knowledge of SEO and how AI is transforming search, is required.
Responsibilities
The Senior Content Marketer will own the strategy and execution of high-impact content initiatives, including long-form thought leadership, ebooks, snackable social videos, and email campaigns, to drive awareness, create demand, and demonstrate category leadership. They will create compelling content across various channels, collaborate on a thought leadership strategy, write and produce content for social media, partner with demand generation, product marketing, and events teams to develop content campaigns, optimize content for distribution and discoverability, support email content development, and use performance data to iterate and improve content. Additionally, they will become a thought leader on AI-driven SEO and search behavior, and utilize AI-powered tools to automate and augment workflows.
Skills
Content Marketing
SEO
B2B SaaS
Thought Leadership
Social Media Content Creation
Video Production
Email Campaigns
Data + AI Observability
Technical Writing
Content Strategy
Monte Carlo Data
Provides end-to-end data observability solutions
About Monte Carlo Data
Monte Carlo Data helps businesses ensure the reliability of their data through end-to-end data observability, allowing real-time monitoring of data freshness, volume, schema, and quality. Their platform includes tools for incident detection and resolution, which assist analysts in addressing data quality issues efficiently. By integrating with communication tools like Slack and JIRA, it fits seamlessly into existing data management processes. The goal is to help businesses avoid the costs associated with bad data, making it suitable for data-dependent companies across various industries.
Key Metrics
San Francisco, CaliforniaHeadquarters
2019Year Founded
$229.6MTotal Funding
SERIES_DCompany Stage
Data & Analytics, AI & Machine LearningIndustries
201-500Employees