United States (Remote)•US (Remote)
Remote
Mid Level
Full Time
💰$100,000 - $165,000
remotepaid socialdigital marketinggrowth marketingAI tools
Requirements
- •Track record of excellence in a demanding, analytical field such as investment banking, consulting, biz ops, co-founder or early startup builder background, or a technical or quantitative discipline with genuine interest in growth marketing
- •Quantitative fluency and ability to reason about performance from data
- •Demonstrated creativity and original thinking
- •Strategic mindset with ownership over the number, not just tasks
- •High motivation and hunger to learn, actively experimenting with AI tools
- •Excellent communication skills to synthesize performance data into clear updates
What You'll Do
- •Own the pipeline and acquisition number for your channels and decide what to double down on and what to pull back
- •Build a growth thesis for paid and digital mix from first principles and bring new bets to the table
- •Lead paid social across LinkedIn and Meta Ads and a focused paid search program
- •Partner with brand designer on ad creative, pushing quality bar and staying current on effective strategies
- •Monitor campaign pacing against budget and pipeline goals, flagging issues proactively
- •Leverage AI tools and audience enrichment platforms to build precise targeting, automate workflows, and drive output at a lean-team scale
- •Collaborate cross-functionally with demand generation, content, creative, sales teams
Nice to Have
- •Exposure to any paid advertising platform (LinkedIn, Google, Meta, or otherwise)
- •Familiarity with CRM or marketing automation tools such as Salesforce or HubSpot
- •Experience with data or audience tools such as Clay
Benefits
- •Comprehensive medical, dental, and vision coverage
- •Flexible PTO
- •Paid parental leave
- •Retirement savings plan
- •Remote work setup budget
- •Monthly wellness and communication stipend
- •In-office meal program and commuter benefits for onsite employees
About Cresta
Cresta uses artificial intelligence to assist sales and service agents in the quality of customer service.
Palo Alto, CA, US
250 - 500
AI & Machine Learning