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About the job
As a Business Development Lead, you will be responsible for sourcing and securing third-party data partnerships to power Google Deep Mind's foundational AI models, particularly Gemini. You will act as the key liaison between Google Deep Mind researchers and external global partners, translating research needs into data acquisition strategies, managing the agreement life-cycle for agreements, and ensuring a pipeline of data assets aligned with Gemini's Core Capability priorities.
The Global Partnerships organization is responsible for exploring new opportunities with Google's partners. Google’s Global Partnerships team works with a wide range of partners to bring the best of Google to power their business. The Global Partnerships team supports Google’s own Product teams with essential partnerships to help Google’s user experiences in advertising, Search, Assistant, Maps, Travel, Shopping, Payments and more. Teams create product-enabling partnerships, go-to-market strategies and incubate business growth for a variety of products.
The US base salary range for this full-time position is $141,000-$204,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
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Serve as a Business Development (BD) lead for Google Deep Mind researchers, translating technical needs into third-party (3P) data sourcing strategies for Gemini. Act as a domain expert by maintaining an understanding of the AI landscape, key players, and emerging trends.
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Identify, evaluate, and prioritize partners globally. Build and manage a pipeline aligned with Google Deep Mind's priorities. Collaborate with regional BD teams to communicate the capability priorities, share partnership needs, and incorporate regional market insights.
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Cultivate stakeholder relationships to align cross-functional teams and ensure agreement execution. Refine operational processes to drive pipeline management, and overall team workflow efficiency.
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Lead discussions for partnerships, navigating business terms, usage rights, and legal/ethical compliance. Drive agreements through internal reviews, serving as the primary authority for the team.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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7 years of experience in business development, partnerships, management consulting, technology licensing, or commercial negotiations.
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Experience working with C-level executives and cross-functionally across all levels of management.
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Experience managing agreements or partnerships.
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Experience with agreement principles, concerning data rights, Intellectual Property (IP), and privacy.
Preferred qualifications
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Master's degree or other advanced degree.
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Experience working autonomously in a dynamic, ever-changing, and collaborative environment.
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Experience working with academic or scientific research communities.
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Experience with partnerships for AI/ML model training.
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Excellent communication and influencing skills.
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Google 소개

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
직원 수
Mountain View
본사 위치
$1,700B
기업 가치
리뷰
3.7
25개 리뷰
워라밸
3.8
보상
4.2
문화
3.4
커리어
3.9
경영진
2.8
68%
친구에게 추천
장점
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
단점
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
연봉 정보
57,502개 데이터
Junior/L3
L3
L4
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L6
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L8
Mid/L4
Principal/L7
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Director
Junior/L3 · Data Scientist L3
0개 리포트
$176,704
총 연봉
기본급
-
주식
-
보너스
-
$150,298
$203,110
면접 경험
9개 면접
난이도
3.4
/ 5
소요 기간
14-28주
합격률
44%
경험
긍정 0%
보통 56%
부정 44%
면접 과정
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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