Engagement Manager - Robotics 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

Robotics, AI, Autonomous SystemsIndustries

Requirements

4–9 years of total work experience, with experience in consulting or in a technical program management role in industry
Associate / Senior Consultant / Engagement Manager role at a Big 3 consulting firm
A technical background (education or professional experience with CS, Robotics, Mechanical/Electrical Engineering, Controls, Economics, or Statistics)
A proven track record in B2B client-facing roles and expanding client relationships
Ability to understand APIs, robotics data pipelines, and the ML training lifecycle, and build great relationships with technical customers
Great cross-functional experience and collaborative ability
Excellent verbal and written communication
A track record of structured, analytics-driven problem solving
A history of diligence and organization across multiple workstreams
An action-oriented mindset that balances creative problem solving with the scrappy execution needed to drive results

Responsibilities

Build and drive some of our most critical operational processes: the consistent, on-time delivery of Data Engine products and services, and revenue consumption for our Robotics customers
Build and oversee levers with a relentless focus on SLA achievement and quality improvement
Review, track, and improve operational performance and be obsessed with continuous improvement
Oversee onboarding and successful implementation for new Robotics Data Engine projects
Manage the long-term health of customers by identifying and preempting areas of risk or concern
Partner with clients to understand operational issues—such as data quality, edge-case coverage, annotation needs, or sensor data workflows—and advocate for their fixes with Scale engineers
Work directly with customers’ autonomy, perception, and robotics engineering teams, partnering with customer-facing MLEs and Field Engineering
Work directly with customers’ engineering teams, answering questions and addressing issues related to use of our API and robotics-focused data tooling
Create an effective feedback loop between the front line, product, strategy, and customers
Collaborate with stakeholders to improve processes for new and existing customers

Skills

Customer Relationship Management

Account Management

Revenue Driving

SLA Management

Cross-Functional Collaboration

Robotics

Sensor Data

Data Annotation

Perception Models

Autonomy

Forecasting

Operations

Problem Solving

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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