Jobs
- Translate complex research needs into actionable strategies and APAC partnership opportunities. Drive the research flywheel (validation to externalization) and ensure adoption of Google’s frontier models (e.g., Gemma) and Applied AI programs (e.g. agriculture, climate and sustainability) across APAC’s public and private sectors.
- Define GTM for emerging AI products (e.g., Google Labs
- NotebookLM). Formulate first-of-its-kind partnerships to shape roadmaps and manage high-priority partner pipelines.
- Partner with global teams (Legal, Engineering, Business) to execute agreements and integrate APAC requirements into global platforms and tooling.
- Lead end-to-end negotiation of sophisticated agreements, autonomously navigate complex technical and legal terms with precision and speed.
- Maintain deep expertise in the frontier AI landscape and emerging trends, serve as the team's go-to domain expert.
Google's line of products and services to our clients never stops growing. The Partnerships Development team is responsible for seeking and exploring new opportunities with Google's partners. Equipped with your business acumen and extensive product knowledge, you are right on the front line of interacting with our partners, and helping them find ways to grow using Google's newest product offerings. Your knowledge of relevant verticals and relationships with key industry players will help shape our great applications and content for products such as YouTube, Google TV and Commerce.
The AI, Research and Core (ARC) Partnerships team supports APAC partnerships for Google Research, Deep Mind, Tech and Society, Labs and Core. The Frontier and Applied AI Team within ARC Partnerships supports scientific discovery and societal impact, driving partnerships to bring AI-first product innovations to life while ensuring AI is advanced responsibly to benefit humanity.
In this role, you will empower and enable project teams by understanding their mission, identifying partners, developing and maintaining relationships, negotiating agreements and serving as a strategic advisor to advance the team’s objectives, including the launch, adoption and successful scaling of Frontier AI and Applied Research programs.
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.
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Bachelor's degree or equivalent practical experience.
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10 years of experience in business development, partnerships, management consulting, or investment banking, in the Consumer Electronics, Auto, OEMs, Telecom, E-Commerce/Retail, Apps, Ads, Gaming, or Technology industries.
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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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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
3.7
25 reviews
Work-life balance
3.8
Compensation
4.2
Culture
3.4
Career
3.9
Management
2.8
68%
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Pros
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
Cons
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
Salary Ranges
57,502 data points
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
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Director
Junior/L3 · Data Scientist L3
0 reports
$176,704
total per year
Base
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Stock
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Bonus
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$150,298
$203,110
Interview experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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