Growth Lead @ Scale AI
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Job Details
About the Role
The Growth Lead at Scale AI is responsible for driving critical growth projects and collaborating with cross-functional teams including Engineering, Operations, and Go-to-Market. This role blends strategy, operations, and analytics to catalyze rapid expansion in the Generative AI sector.
Key Responsibilities
- Drive critical growth projects across multiple teams
- Develop growth strategies, funnels, and pipelines
- Oversee growth operations ensuring seamless execution
- Present regular updates to Scale’s executive team
- Tackle pressing growth challenges to enhance market presence
Ideal Candidate
Candidates should have 5+ years in growth, product, or operations, with a strong technical background (experience with SQL or Python is essential). Prior exposure to operations-heavy business models is highly desirable. The ideal candidate is entrepreneurial, analytical, and comfortable building products from scratch.
Compensation & Benefits
This full-time role offers a competitive base salary range ($163,800 to $204,750 USD) along with equity and a comprehensive benefits package that includes health, dental, vision, retirement benefits, a learning and development stipend, generous PTO, and potential additional perks like a commuter stipend.
About Scale AI
Scale AI is dedicated to developing reliable AI systems for the world's most important decisions. The company collaborates with global industry leaders and government agencies to advance AI applications that deliver real impact. Scale AI is an inclusive and equal opportunity employer committed to accommodating applicants with disabilities.
Key skills/competency
- Growth
- Strategy
- Operations
- Analytics
- Revenue
- Expansion
- SQL
- Python
- Generative AI
- Cross-functional Collaboration
How to Get Hired at Scale AI
🎯 Tips for Getting Hired
- Research Scale AI's culture: Understand mission, values, and recent news.
- Customize your resume: Highlight growth, analytics, and technical skills.
- Focus on quantifiable results: Provide data-driven achievements.
- Prepare for technical interviews: Review SQL, Python, and case studies.