Chief of Staff, Enterprise AI

At Scale, we believe that AI will dramatically improve the world, and our mission is to accelerate the development of AI. As Chief of Staff, Enterprise AI, you will work closely with Scale’s Enterprise business unit leadership team to execute on our vision to be the partner of choice for Generative AI solutions at top tier Fortune 500 companies. With a deep focus on Generative AI and Large Language Model (LLM) applications for large enterprises, you will be working on the bleeding edge of AI innovation.

In this leadership role, you will help define top-level business unit priorities & goals, steer strategy, shape product, own planning processes and business unit operations, drive the most important strategic projects/priorities for the business, and support GTM and Delivery of cutting-edge AI solutions for the world’s largest enterprises. 

The ideal candidate is a highly motivated individual who is able to combine meticulous planning & organization, analytical rigor, an obsessive focus on customer relationships and outcomes, and an empathetic interpersonal style. You’re a skilled ‘operator,’ with a get-stuff-done mentality and comfort/drive leading through ambiguity. You have a demonstrated ability to lead AI projects and initiatives, quickly establish credibility with senior cross-functional stakeholders, and are comfortable rolling up your sleeves to tackle a variety of challenges. You have a technical background, and a natural ability to work with, build trust with, and influence Engineering teams. If you want to work on the most ambitious Generative AI innovation in the world and have some fun while doing it, we'd love to hear from you!

You will:

• Partner with the VP/GM of Enterprise AI and other senior leadership (VPs of Eng, GTM, and Ops) to define business priorities, drive execution of key initiatives, and create alignment between and within teams
• Help develop overall business unit strategy, business development priorities, and internal operating models
• Drive weekly, monthly, quarterly, annual planning processes for the Enterprise business unit
• Conduct market and competitive research, and perform financial analyses to drive business unit strategy and decision making
• Support Enterprise business unit Engineering leadership in translating business strategy into product priorities, and as needed, drive specific product workstreams
• Support Enterprise business unit Delivery leadership on execution of the highest priority AI deployments for the world’s largest and most well known brands
• Own key operational rhythms / processes (weekly leadership meetings, All Hands, OKR reviews, team offsites), including preparing the agenda, facilitating the discussions, documenting notes / action items, and closing out follow ups
• Act at the Enterprise business unit’s liaison to central cross-functional teams such as Finance, Marketing, Legal 
• Be a thought partner to Enterprise business unit leadership, proactively identifying risks and opportunities to shape our products and improve internal operations

Ideally you'd have:

• 5+ years experience in management consulting, business operations, product, or other highly strategic, analytical, and operational roles within a rapidly growing company
• Strong executive communication skills – able to synthesize complex details into accessible and precise insights
• Demonstrated ability to lead AI projects with technical and business team members, driving to high quality insights and deliverables amidst ambiguity and tight timelines
• Excellent qualitative and quantitative analytical skills
• Ability to prioritize effectively and manage multiple workstreams in a fast-paced environment
• A strong orientation towards outcomes, and a willingness to roll up your sleeves to get the job done
• A proven ability to work and build relationships with a wide range of people, and influence cross-functionally without direct authority
• An inclination to challenge the status quo - increasing your teams’ bars for rigor in strategy and quality of execution

Nice to haves:

• Experience with Large Language Models and Generative AI
• Degree in computer science or other STEM field, or hands-on experience with building software or machine learning systems
• Experience working with Sales and Engineering organizations

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