# Product Manager, Data Engine

**Company**: Scale AI
**Location**: San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $205,600-$257,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q112629176

**Apply**: https://job-boards.greenhouse.io/scaleai/jobs/4670064005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0b5f056b-3e6

## Description

We are looking for a technical, high-horsepower Product Manager to lead the evolution of the Public Sector Data Engine. This team believes that the data engine, capable of producing 'n' models, is more important than any single model. This role is focused on building tools that can measure and improve the computer vision and generative AI models at the heart of critical national security systems.

You will sit at the centre of our transition from a data labeling leader to a full-stack AI partner. You will architect the vision for our ML Ops tooling, building a seamless 'foundational engine' that supports data management, curation, model development, and model evaluation for internal and external Machine Learning Teams.

As a Product Manager, you will:

- Architect the AI Engine: Drive the roadmap for Public Sector ML Ops tools, ensuring they serve as the 'ground truth' foundation for building, evaluating, and deploying AI systems.

- Bridge Custom & Scale: Support diverse customer profiles,from massive-scale satellite and video labeling engagements to complex, bespoke ML Ops partnerships.

- Own Technical Scoping: Partner with Engineering to make high-stakes design decisions on infrastructure, APIs, and model evaluation frameworks (T&E).

- Operationalize Collaboration: Use high EQ and structured thinking to align Engineering, Operations, and elite Government stakeholders.

Ideally, you would have:

- Technical by Core: A background in Software Engineering, Field Engineering, or Vision Systems. You can read code, understand system architecture, and earn the immediate respect of world-class engineers.

- ML/CV Experience: Experience in Computer Vision or ML Ops. You understand the lifecycle of a model,from data acquisition to Test & Evaluation.

- Grit: A 'whatever-it-takes' drive. You are comfortable running through walls, grinding through ambiguity, and delivering results in high-pressure environments.

- Structured Thinker, but Action Oriented: You can take a challenging problem, decompose it, create action plans, and drive results.

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.

## Skills

### Required
- Software Engineering
- Field Engineering
- Vision Systems
- Computer Vision
- ML Ops
- Data Management
- Curation
- Model Development
- Model Evaluation

### Nice to have
- Security Clearance
- Advanced Degree
- Computer Vision Expertise

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/scaleai/jobs/4670064005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)