Engineering Manager, AgentOps at Scale AI

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

At least 5 years of relevant experience and at least 2 years of experience managing engineers is preferred
Proven success in leading, managing, and developing high-performing Engineering teams
Expertise in identifying product engagement patterns and trends for large scale consumer products
Track record of shipping high-quality products and features at scale
Desire to work in a very fast-paced environment
Ability to turn business and product ideas into engineering solutions
Excellent problem-solving skills, and be able to work independently or as part of a team
Excited to join a dynamic, hybrid team in either San Francisco or New York City

Responsibilities

Manage the engineering team and drive technical delivery
Comfortable working cross functionally, whether that be internal or external customers
Work across the entire product lifecycle from conceptualization through production
Build features end-to-end: back-end, system design, debugging and testing
Deliver experiments at a high velocity and level of quality to engage our customers
Influence the culture, values, and processes of a growing engineering team
Inspire and mentor engineers
Collaborating with cross-functional teams to define, design, and ship new product features and experiences

Skills

Key technologies and capabilities for this role

Engineering ManagementAgent DevelopmentGenerative AIRLHFLLMModel EvaluationPlatform EngineeringAI DataReinforcement LearningAgentOps

Questions & Answers

Common questions about this position

What experience is required for the Engineering Manager role?

At least 5 years of relevant experience is required, with at least 2 years of experience managing engineers preferred. Candidates need proven success in leading, managing, and developing high-performing engineering teams, plus expertise in identifying product engagement patterns for large-scale consumer products and a track record of shipping high-quality products.

What are the main responsibilities of this Engineering Manager position?

Responsibilities include managing the engineering team and driving technical delivery, working cross-functionally with internal or external customers, building features end-to-end across the product lifecycle, delivering high-velocity experiments, influencing team culture and processes, inspiring and mentoring engineers, and collaborating on new product features.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What is the culture like on the AgentOps team?

The AgentOps team is rapidly growing with ambitious goals in a green-field domain, focusing on building an opinionated yet flexible platform for agent operations. The role involves influencing the culture, values, and processes of the growing engineering team while inspiring and mentoring engineers.

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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