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The contract for this position is a Full-time contract

Is telecommuting possible for this position?

No, telecommuting is not possible for this position

Product Operations Manager

Scale is at the forefront of enabling Machine Learning, from developing data for autonomous vehicles to guiding global leaders in AI development. As one of Scale's Product Operations Managers, you'll be designing and implementing the tools and processes to solve our most critical problems as we grow. We are on-boarding new customers and launching products all the time. Our rapid pace of operations growth constantly raises new strategic questions we need to answer and tactical challenges we need to overcome.

You will be part of a team of cross-functional communicators and collaborators who will shape our operations products and solutions. You are relentless in driving stellar product and process designs, running pilots, tests, and experiments, to guide a team of skilled operators to success.

The blend of strategy, implementation, and design make this a unique role that will provide an opportunity to work with multiple teams (e.g., Engineering, Marketing, Operations, Analytics, and several others) across Scale and around the globe.

Our ideal candidate is scrappy, analytical, outcome-focused, and above all a leader who gets and inspires results. You are excited to create operational efficiency and redesign processes in ways that can benefit the entire company. You maintain an attitude of positivity and empathy with your team, and are always ready to learn something new.

You will:

Build & Iterate: Design new processes and tools and drive their implementation across the organization within the US and globally. Collaborate with stakeholders to improve processes for new and existing customers.
Analyze & Experiment: Use quantitative experimentation to derive result-oriented actions for user acquisition, retention, experience, and performance.
Plan & Strategize: Problem solve some of our most pressing strategic operations challenges.
Work cross-functionally: Partner with Product teams to drive step-function changes in how we can scale operations. Build, maintain, and regularly communicate detailed reporting for other leaders across the company who will use your team's data to inform their own operations and strategy.

Ideally you’d have:

2-3+ years of industry experience in an operational role and/or 1+ years in a top-tier consulting firm.
An undergraduate from a top university in a science or analytics heavy major (e.g., Engineering, Economics, Supply Chain, etc) and/or a graduate degree from a top university in Engineering, Economics, Supply Chain, Operations, or Business.
Experience leading and influencing without authority.
An entrepreneurial mindset that balances creative problem solving with the desire to run through walls to deliver outcomes.

Nice to Have:

Work Experience with Product Management, Machine Learning, Deep Learning, Computer Vision or Natural Language Processing.
Proficiency in SQL, Excel, and/or other analytical software.
Project or product management experience.
Physical or digital supply chain, or warehouse operations experience.
Coding experience.

About Us:

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, 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 protected]. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

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Product Operations Manager - Autonomous Vehicles

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