*This role is for residents of the San Francisco, New York, St. Louis, or Dallas metropolitan areas.*
As a member of our operations team, you will be accountable for driving revenue by ensuring that Scale AI meets customer commitments in a timely manner while maintaining the highest quality standards. You will manage our supply operation funnel by building and running solutions, tools, and processes by working with a cross-functional team including Customer Operations, Product Operations, Product Managers, and many others.
You will be solving complex operational problems and deep dive to improve instructions and trainings on projects to maintain the highest quality standards. You may also be leading a team of tasker managers and acting as a liaison between customer needs and tasker communication and experience. The ideal candidate is scrappy, analytical, detail-oriented, empathetic, outcome-focused, a strong writer, and above all someone who drives and inspires results.
- Build and drive some of our most critical operational processes
- Own the day-to-day delivery of customer commitments
- Conduct data analysis in a structured way
- Create an effective feedback loop between the front line, product, strategy, and customers
- Collaborate with business and technical stakeholders to improve processes for new and existing customers
Ideally you'd have:
- Industry experience (0-2 years) in an operational role and/or a top-tier consulting firm
- An undergraduate degree in communications, journalism, humanities, business, or a related field
- Strong writing and verbal communication skills, with an emphasis on grammar, proofreading and copy editing
- An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results
- Analytical, planning, and process improvement capability
- Experience working in a fast-paced, entrepreneurial environment
Nice to haves:
- Hands-on experience in machine learning, especially in NLP (during a previous role or in school)
- Technical skills including familiarity with APIs, large language models, machine learning, and querying languages like SQL
The base salary range for this full-time position in our target locations is $72,400-$86,400. 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. 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
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how machine learning can build innovative products. Our products provide access to human-powered data for hundreds of use cases and are used by industry leaders such as Open AI, Lyft, Meta, GM, Samsung, Airbnb, NVIDIA, and many more. We’ve recently raised $325 million in Series E funding at a valuation of $7B+ and 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@example.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
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