Growth Strategy & Operations Manager

Reposted 5 Days Ago
Easy Apply
2 Locations
In-Office
150K-189K Annually
Mid level
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
The Growth Program Manager will drive initiatives to enhance revenue and operations in the Generative AI sector, collaborating with cross-functional teams and leveraging data analytics for strategic growth.
Summary Generated by Built In

As Scale AI continues its historic growth trajectory in the Generative AI sector, we are seeking a Growth Program Manager 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.
  • Tackle some of the most pressing growth challenges, setting new standards for Scale AI's market presence in domain language.
Ideally you'd have:
  • 3-5 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 entrepreneurial and high-ownership mindset. You are comfortable handling ambiguity and leading workstreams from end-to-end

This role is critical in ensuring that Scale AI not only maintains its current growth momentum but also accelerates it to capture an even larger market share in the Generative AI space. The ideal candidate will bring a wealth of experience, a deep understanding of growth mechanisms, and a track record of delivering results in high-stakes environments.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$150,000$189,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Top Skills

Python
SQL
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The Company
San Francisco, CA
523 Employees
Year Founded: 2016

What We Do

Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.

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