Enterprise Product Manager at Scale AI

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Technical degree in computer science, engineering, or equivalent experience
4+ years of experience in building ML-powered products
Experience in enterprise-facing products is a plus
Strong understanding of generative AI technologies and their applications in enterprise settings
Experience operating in a fast-paced environment with high ambiguity
Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams
Some coding experience (Python)

Responsibilities

Develop enterprise grade solutions that leverage cutting edge AI to drive business value at world class companies across many industries
Work with executives at Scale and our customers to determine and execute the product strategy of the business
Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches
Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance
Develop a point of view and execute on turning the solutions we build into repeatable software that we can commercialize across the industry

Skills

Key technologies and capabilities for this role

Product ManagementMachine LearningGenerative AISoftware EngineeringAI Application DevelopmentText2SQL

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What is the salary for this role?

Compensation packages include base salary, equity, and benefits, with the range on each job posting reflecting the minimum and maximum target for new hires based on location, skills, experience, interview performance, and education.

What skills and experience are required for this Enterprise Product Manager role?

Requirements include a technical degree in computer science or engineering, 4+ years building ML-powered products, strong understanding of generative AI in enterprise, experience in fast-paced ambiguous environments, exceptional leadership and communication skills, and some Python coding experience.

What kind of work environment can I expect at Scale AI?

The role involves operating in a fast-paced environment with high ambiguity, leading cross-functional teams, and working closely with executives and customer teams at world-class companies.

What makes a strong candidate for this position?

Ideal candidates have a technical degree, 4+ years building ML-powered products, deep generative AI knowledge for enterprise, leadership skills to influence teams, and some Python experience; enterprise product experience is a plus.

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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