Scale AI

AI Product Manager, Generative AI

San Francisco, California, United States

Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Data Science, BiotechnologyIndustries

AI Product Manager

Position Overview

  • Location Type: Remote
  • Employment Type: Full-time
  • Salary: 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 in the form of stock options, subject to Board of Director approval.

Description: Scale is at the frontier of the AI industry, improving the world’s leading Generative AI and Large Language Models. We are building the Generative AI Data Engine to push the boundaries of model development through human-powered datasets, world-class Reinforcement Learning with Human Feedback (RLHF), model evaluation, and more. We build products for AI research teams training models and the world’s largest marketplace of human intelligence.

As an AI Product Manager, you will lead the strategy for a specific data use case, empowering leading AI labs to advance their models. You will collaborate with top researchers to develop innovative data solutions and oversee the entire product lifecycle from concept to launch. You’ll work with cross-functional teams to drive adoption and enhance customer satisfaction. In this paradigm, you will own “data as the product”.

Requirements

  • Technical degree in computer science, preferably with coursework or side projects training neural networks.
  • 3+ years of experience in building technical products.
  • Experience operating in a fast-paced environment with ambiguity.
  • Active participation in the AI community, including attendance at major conferences and a strong network of industry contacts.
  • Previous engineering experience, with strong technical skills in Python programming and SQL.
  • Excellent communication and presentation skills.

Responsibilities

  • Lead the product strategy for a specific data use case (e.g., Agents, Audio, Reasoning), empowering the world's leading AI labs to develop more advanced models.
  • Proactively engage with top researchers to understand their needs and pitch data solutions that enhance model performance.
  • Build and own end-to-end the data use case by identifying customer pain points, defining requirements, and overseeing the delivery of the data.
  • Develop labeling interfaces and quality measurement platforms to drive product quality.
  • Collaborate with executive leadership to align product initiatives with the overall business strategy and objectives.
  • Lead cross-functional teams, including engineering, machine learning, design, operations, marketing, go-to-market, and finance, to deliver high-quality products.
  • Drive adoption and sales of data products by developing effective go-to-market strategies and ensuring customer satisfaction.

Skills

Generative AI
Large Language Models (LLMs)
Product Management
Data Engineering
Reinforcement Learning with Human Feedback (RLHF)
Model Evaluation
Python
SQL
Neural Networks
Technical Product Development
Communication
Presentation Skills

Scale AI

AI platform for data and models

About Scale AI

Scale AI provides a platform that helps businesses develop AI applications by utilizing their enterprise data to customize generative models. The platform includes tools for collecting, curating, and annotating data, as well as features for evaluating and optimizing models. Scale works with a variety of clients, including major tech companies like Microsoft and Meta, government agencies such as the U.S. Army and Airforce, and startups like Brex and OpenSea. What sets Scale apart from its competitors is its comprehensive suite of tools and services that focus on safely unlocking the value of AI. The company's goal is to enhance the performance of advanced language models and generative models, making AI more accessible and effective for its clients.

San Francisco, CaliforniaHeadquarters
2016Year Founded
$1,558.9MTotal Funding
SERIES_FCompany Stage
Data & Analytics, AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Health, Dental & Vision Coverage - Our health plans give you the flexibility to select the right coverage for you and eligible family members through a variety of plan options.
Easy to use 401(K) - Plan and invest for the future with a 401(k) via Guideline. Scale’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings.
Wellness Fund - We care about the physical, mental, and emotional wellbeing of all Scaliens. Our $100/month wellness stipend can be used for gym memberships, acupuncture, meditation apps, and so much more.
Virtual Social Activities - Being remote has not stopped us from hosting fun virtual events. From trivia night to candle making, we ensure employees are fostering connections & building strong relationships.
Learning & Development - We know how important career growth is for Scaliens, so we offer a $500/year L&D stipend to help support continued development throughout your journey.
Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule.
Generous Paid Time Off - Enjoy time to travel or plan a staycation. We encourage employees to take time off to recharge and prevent burnout. We have a flexible PTO policy where each employee is afforded the flexibility to take planned time-off as needed.
Commuter Benefits - Set aside pre-tax dollars to use on qualified transportation expenses to help ease your commute.
Parental Leave - Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.

Risks

Legal issues over labor practices could harm Scale AI's reputation and financial standing.
Controversial stance on DEI may deter potential talent and partnerships, affecting growth.
Expansion in San Francisco could increase operational costs amid uncertain economic conditions.

Differentiation

Scale AI offers comprehensive data annotation for AI, unlike competitors focusing on single modalities.
The platform supports diverse clients, from tech giants to government agencies, enhancing its versatility.
Scale AI's commitment to AI safety initiatives sets it apart in responsible AI development.

Upsides

Growing demand for AI data annotation boosts Scale AI's market potential and client base.
Expansion into defense applications opens new revenue streams and strategic partnerships.
Partnerships with AI safety organizations enhance Scale AI's reputation as a responsible AI leader.

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