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Scale AI
Scale AI

Accelerate the development of AI applications.

Business Operations, IPS

직무오퍼레이션
경력미들급
위치London, United Kingdom
근무오피스 출근
고용정규직
게시2개월 전
지원하기

복지 및 혜택

의료보험

401k

스톡옵션

교육비 지원

필수 스킬

Project Management

Data Analysis

Strategic Thinking

Problem Solving

Scale’s International Public Sector (IPS) team is growing quickly as we work to build reliable AI systems for governments around the world. This is one of the most ambitious and high-impact problems of our time, and we’re assembling a team of sharp, mission-driven operators to help us do it.

We’re looking for a Business Operations & Strategy Associate to support critical initiatives across IPS product, engineering, sales, marketing and core operations. This role is ideal for a highly analytical generalist - someone who thrives in ambiguity and is able to move fluidly between strategic problem-solving and rolling up your sleeves to make the business run better day to day. No task is too small if it drives impact.

You will:

  • Help drive the team’s core operating cadence and strategic planning moments, including structuring inputs for business reviews, planning cycles, deep dives and offsites to enable clear decisions and effective execution

  • Partner with functional leads to track and pressure-test OKRs and key metrics, helping teams move from goals to measurable outcomes

  • Drive preparation for team All Hands by shaping narratives, distilling complex work into clear updates, and ensuring follow-through on commitments

  • Collaborate with Sales Operations on forecasting and pipeline reviews to improve predictability and drive tighter execution across the go-to-market team

  • Work closely with Product Managers and Product Operations to connect roadmap decisions to delivery capacity, operational constraints, and downstream impact

  • Identify and address cross-functional gaps in how we operate - structuring solutions and pushing them through to execution where ownership or process is unclear

Ideally you would have:

  • A penchant for digging deeply into the data yourself, thinking from first principles, and iterating quickly to deliver results

  • A strong orientation toward outcomes, and a history of being scrappy when it counts

  • Low ego and highly collaborative - you’re excited to work alongside smart, humble teammates and do whatever it takes to help the team succeed

  • An easygoing interpersonal style that you bring to bear in everything from deep technical conversations with engineers to polished executive level comms

  • Proven ability to build high trust relationships with a wide range of people across the organization

  • Experience in product or project management, taking projects from conception to launch

  • Excellent qualitative and quantitative analytical skills

Nice to haves:

  • ~3 years at a top-tier consulting firm, or experience in investment banking, private equity, or similar

  • Exposure to tech, product or operational roles in a high-growth environment

  • MBA a bonus (but not required)

**PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

*We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. *

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

*We comply with the United States Department of Labor's Pay Transparency provision. *

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Scale AI 소개

Scale AI

Scale AI

Series C

Cerebras Systems Inc. is an American artificial intelligence (AI) company with offices in Sunnyvale, San Diego, Toronto, and Bangalore, India. Cerebras builds computer systems for complex AI deep learning applications.

501-1,000

직원 수

San Francisco

본사 위치

$7.3B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

2.8

보상

3.5

문화

4.2

커리어

4.0

경영진

2.5

72%

지인 추천률

장점

Innovative projects

Supportive team/environment

Interesting work

단점

Work-life balance issues and long hours

High pressure/expectations and heavy workload

Management needs improvement

연봉 정보

3개 데이터

Junior/L3

L3

Junior/L3 · Data Scientist L3

0개 리포트

$123,049

총 연봉

기본급

-

주식

-

보너스

-

$104,592

$141,506

면접 후기

후기 4개

난이도

3.0

/ 5

소요 기간

14-28주

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Interview

6

Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Machine Learning Concepts