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Growth Strategy & Operations Lead

Scale AI - San Francisco, CA; New York, NY

Posted Jun 1, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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401(k) match
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Market context

Median wage (BLS OEWS)
$93,011 national median
Projected growth (BLS Employment Projections)
+5.1% - Faster than average

119% above the BLS national median for marketing aggregate.

Matched to SOC 13-1161 - Marketing aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Growth Strategy & Operations Lead San Francisco, CA; New York, NY Growth Strategy & Operations Lead, Generative AI As Scale AI continues its historic growth trajectory in the Generative AI sector, we are seeking a Growth Strategy & Operations Lead to helm initiatives that will significantly drive revenue and expansion. This demanding and multi-faceted role requires a unique blend of skills across strategy, operations, and analytics, with the aim to catalyze rapid growth in a dynamic and evolving market. You will: - Drive critical growth projects, collaborating with cross-functional teams including Engineering, Operations, and Go-to-Market. - Develop and enhance growth strategies, funnels and pipelines to meet the needs of strategic customers and market demands. - Oversee the growth operations, ensuring seamless execution and alignment with business objectives. - Present regular progress updates to Scale's executive team, contributing to the strategic direction of the company. - Tackle some of the most pressing growth challenges, setting new standards for Scale AI's market presence. Ideally, you'd have: - 5+ years of experience on growth, product, or operations, or as a SWE. - Prior experience with operations-heavy business models (e.g. on-demand, marketplace, logistics, supply chain) - Strong technical background (a degree in STEM is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python). - Excellent problem-solving capabilities and a robust analytical approach, with the ability to leverage data to inform growth strategies (experience working on operational challenges or as a consultant is a plus). - An

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